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Author SHA1 Message Date
kingchenc d0061c73b8 release: bump 0.7.6 -> 0.7.7 (#229)
Bumps the workspace to 0.7.7 to ship the Go binding.
2026-06-09 17:35:25 +02:00
kingchenc 23d636fd97 Add the Go binding over the C ABI hub (#228)
Adds a Go binding (`bindings/go`) over the C ABI hub — the second language stecker after C#.

## What's here
- **`bindings/go`** — a cgo binding exposing all 514 indicators as idiomatic Go types with `New<Indicator>` constructors and `Update`/`Batch`/`Reset`/`Close` methods. The wrappers in `indicators_gen.go` are generated from `bindings/c/include/wickra.h` (same archetype taxonomy as the C# generator: scalar/batch, multi-output, bars, profile, profile-values, array-input). Opaque handles are freed by `Close()` with a `runtime.SetFinalizer` backstop; pointer arguments are caller-owned, panics never cross the boundary.
- **`examples/go`** — the full example suite mirroring C/C#: streaming, backtest, multi_timeframe, parallel_assets (goroutine fan-out), three strategies, and `fetch_btcusdt`/`live_binance`.
- **CI** — a `go` job builds the C ABI library, stages it, and runs `gofmt`/`go vet`/`go test` plus the offline examples on Linux, macOS and Windows.
- **Docs** — Go added to the README languages table, project layout, building/testing, CONTRIBUTING binding table + regenerate note, ARCHITECTURE, examples index, issue/PR templates, the About-description template, and the other binding READMEs.

## Linking / distribution
The binding links the prebuilt C ABI library via cgo (`libwickra.so`/`.dylib`/`wickra.dll` staged under `bindings/go/lib`, gitignored). The native libraries are already shipped per target triple by the existing `c-abi-build` release job; distribution is via the subdirectory module tag `bindings/go/vX.Y.Z` (gated), so `release.yml` needs no new publish job.

No Rust crate or `Cargo.toml` change — the Go module is standalone and additive.

Not for merge yet (gated, per request).
2026-06-09 17:33:37 +02:00
kingchenc fce26cf881 release: bump 0.7.5 -> 0.7.6 (#227)
Bumps the workspace to 0.7.6 to ship the C# (.NET) binding to NuGet.
2026-06-09 14:34:18 +02:00
kingchenc 91f6f67257 Add C# (.NET) binding over the C ABI hub (#226)
The first language stecker on the C ABI hub: a .NET binding exposing all 514
indicators as idiomatic `IDisposable` classes, generated from `wickra.h`.

## What's here

- **`bindings/csharp/`** — the `Wickra` .NET 8 package. `[LibraryImport]`
  source-generated P/Invoke (`NativeMethods.g.cs`) plus idiomatic wrappers
  (`Indicators.g.cs`), both generated from the committed `bindings/c/include/wickra.h`.
  The binding owns no indicator maths — it only marshals types across the C ABI.
- **Marshalling, verified end-to-end against the native library.** Opaque handles
  cross as `nint` kept alive per call via a `SafeHandle`; `bool` as
  `[MarshalAs(U1)]` (Rust `bool` is one byte); a self-correcting
  `DllImportResolver` validates the loaded library actually exports the Wickra
  ABI. Tests cover one representative per FFI archetype (scalar, candle, pairwise,
  multi-output, bars, profile, values-profile, order-book / array-input) plus
  exact Sma reference values.
- **NuGet packaging** — `dotnet pack` produces `Wickra.<version>.nupkg`; the
  release pipeline stages prebuilt native libraries under `runtimes/<rid>/native/`
  for six target triples (win/linux/osx × x64/arm64).
- **`examples/csharp/`** — nine examples mirroring `examples/c/`: streaming,
  backtest, multi_timeframe, parallel_assets, three strategies, and
  fetch_btcusdt + live_binance.
- **CI** — a `csharp` job on the three OSes builds the C ABI, tests the binding,
  and runs the offline examples. **Release** — a gated `csharp-publish` job packs
  and pushes to NuGet (gated on `NUGET_API_KEY`, independent of the GitHub-release
  job so a C# hiccup never blocks the C/C++ asset release).
- **Docs consistency wave** — README, CONTRIBUTING, CHANGELOG, examples/README,
  the issue / PR templates, `sync-about.yml`, and `.gitattributes`.

The native Python / Node / WASM bindings and the C ABI are untouched; this is
additive. Publishing to NuGet stays gated behind the release tag and the secret.
2026-06-09 14:32:05 +02:00
kingchenc 4caaa1db97 release: bump 0.7.4 -> 0.7.5 (#225)
Version bump for the C ABI hub release (0.7.4 -> 0.7.5). See #222 + #224.
2026-06-09 02:26:27 +02:00
kingchenc 12681e4b1b C ABI: full example suite + docs & About coverage (#224)
Stacked on #222 (base `feat/c-abi-hub`), so the diff is just the additions on top of the hub foundation — no merge of #222 required.

## What this adds

**Examples — full parity with rust/python/node (`examples/c/`)**
- `streaming.c` upgraded to the multi-indicator (SMA/EMA/RSI/MACD + signals) demo
- `backtest.c`, `multi_timeframe.c` (manual time-bucket resampling), `parallel_assets.c` (serial vs OpenMP fan-out, one handle per asset)
- three educational strategies: `strategy_rsi_mean_reversion.c`, `strategy_macd_adx.c`, `strategy_bollinger_squeeze.c`
- two network examples shelling out to `curl`: `fetch_btcusdt.c`, `live_binance.c` (REST poll)
- two header-only helpers (`wickra_csv.h`, `wickra_strategy.h`) since the C ABI ships no IO layer
- CMake builds all 11; the 9 offline ones run under `ctest` on 3 OS; the network two are built-only

**Docs & metadata — surface the C ABI everywhere it was missing**
- ARCHITECTURE diagram + crate table, SECURITY + THREAT_MODEL (the C ABI as the sole `unsafe` FFI surface), the three binding package READMEs, issue/PR templates, CHANGELOG, and the GitHub About template (live About + org description updated too)

**Cleanup**
- removed all references to the private generator tooling from public files (`bindings/c/src/lib.rs` header, `CONTRIBUTING.md`, `sync-about.yml`)

Verified locally: `cargo build -p wickra-c --release`, `cmake + ctest` (9/9 pass), and `-Wall -Wextra -Wpedantic` clean on gcc 13.
2026-06-09 02:14:28 +02:00
kingchenc 91e05e3c26 C ABI hub crate (bindings/c) foundation (#222)
## What

Introduces `wickra-c` — a `cdylib` + `staticlib` that exposes the Rust core over a **C ABI**. This is the hub every C-capable language (C, C++, Go, C#, Java, R) links against, instead of re-wiring each indicator natively. The native Python/Node/WASM bindings are untouched; this is purely additive, for ecosystems without first-class Rust tooling.

## Scope (foundation slice)

This PR deliberately validates the **whole pipeline end to end with one indicator (SMA)** before scaling to all 514, so the CI / cross-OS / header-drift mechanics are proven green first.

- Opaque `*mut T` handles; `wickra_<ind>_{new,update,batch,reset,free}`.
- NaN sentinel for warmup / NULL handles; caller-owned batch buffers; every function NULL-safe.
- cbindgen generates and commits `bindings/c/include/wickra.h` with opaque handle typedefs.
- A C smoke example (`examples/c/`) links the header + compiled library and runs (CMake + ctest).
- A `c-abi` CI job builds the library and runs the smoke test on **Linux, macOS and Windows**, plus a header drift check on Linux.

## Notes

- The per-indicator FFI blocks are plain `#[no_mangle]` functions, **not** a macro: cbindgen cannot see macro-generated functions on stable Rust (macro expansion needs nightly), so the blocks are written literally and will be generated mechanically by the ScriptHelpers `capi` wrapper in a follow-up (same model as the committed-but-generated Node `index.js`).
- `bindings/c` cannot inherit the workspace `forbid(unsafe_code)` lint (the C boundary needs raw pointers), so it mirrors every workspace lint and only relaxes `unsafe_code`. The Rust core stays `unsafe`-forbidden.

## Follow-ups (separate PRs)

- ScriptHelpers `capi` generator + wire the scalar family (~235).
- Hand-written blocks for multi-output / custom-input / bars (~279).
- Docs consistency wave (README / docs / webpage: Python·Node·WASM·Rust → +C).
- Release wiring (native-lib matrix + header/lib GH-release assets) — gated.
2026-06-09 02:07:03 +02:00
kingchenc 9d0983b666 ci(sync-about): sync indicator count into the webpage About page (#223)
The `wickra.org/about` page carries the indicator count in the bot-syncable `<N> indicators` token, but `sync-about.yml` only rewrote `index.md` + `.vitepress/config.ts` on the webpage. Add `about.md` to the webpage count step's `sed` file list and its `git add`, so the About page's count self-heals on every push-to-main / tag like the rest of the marketing site.

No-op for the Rust build — workflow file only.
2026-06-08 21:38:42 +02:00
kingchenc 13c8250488 release: bump 0.7.3 -> 0.7.4 (#221)
Version bump **0.7.3 → 0.7.4** for the B19 Alt-Chart Bars batch (7 new bar builders, 507 → 514).

Bumps `Cargo.toml` (+ `wickra-core` dep), `Cargo.lock`, `pyproject.toml`, the Node `package.json` and its six platform packages, both `package-lock.json` files, and the CHANGELOG (`[Unreleased]` → `[0.7.4]` with compare URLs).
2026-06-08 14:33:43 +02:00
kingchenc e5305ffa94 feat: add 7 alt-chart bar builders (B19) (#220)
Adds seven information-driven bar builders to the **Alt-Chart Bars** family, the final batch of the family-deepening run. Indicator count **507 → 514**.

## Builders
All implement the `BarBuilder` trait (`update(Candle) -> Vec<Bar>`), emitting a data-dependent number of completed bars per candle.

| Builder | Driver | Bar fields |
|---------|--------|-----------|
| `RangeBars` | close | open, close, direction |
| `TickBars` | OHLCV | open, high, low, close, volume |
| `VolumeBars` | OHLCV | open, high, low, close, volume |
| `DollarBars` (Lopez de Prado) | OHLCV | + dollar |
| `ImbalanceBars` | OHLC | + imbalance, direction |
| `RunBars` | OHLC | + length, direction |
| `ThreeLineBreakBars` | close | open, close, direction |

## Touchpoints
Seven core modules (each with full unit tests), `mod.rs`/`lib.rs` (builders counted, bar element types on their own re-export lines), README family rows, Python/Node/WASM hand-written bindings for the variable-length output (Python tuples + `(k, N)` ndarray; Node `Vec<object>`; WASM array of objects), the `bar_builder_update_candle` fuzz target, dedicated Python + Node tests, the `BAR_BUILDERS` completeness exclusion, and CHANGELOG.

## Verification
- `cargo test -p wickra-core --lib` — 4207 passed
- `cargo test -p wickra-core --doc` — 464 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean
- `npm test` (node) — 584 passed
- `pytest` (python) — 957 passed
2026-06-08 14:32:40 +02:00
kingchenc 46be7a54ea release: bump 0.7.2 -> 0.7.3 (#219)
Version bump **0.7.2 → 0.7.3** for the B18 Risk / Performance batch (9 new indicators, 498 → 507).

Bumps `Cargo.toml` (+ `wickra-core` dep), `Cargo.lock`, `pyproject.toml`, the Node `package.json` and its six platform packages, both `package-lock.json` files, and the CHANGELOG (`[Unreleased]` → `[0.7.3]` with compare URLs).
2026-06-08 13:29:39 +02:00
kingchenc bca61322b5 feat: add 9 Risk / Performance indicators (B18) (#218)
Adds nine risk/performance metrics to the existing **Risk / Performance** family, all consuming a per-period return series (`f64` in, `f64` out). Indicator count **498 → 507**.

## Indicators

Single-param (`new(period)`, macro bindings):
- **SterlingRatio** — mean return over average drawdown of the equity curve.
- **BurkeRatio** — return over root-sum-squared drawdowns.
- **MartinRatio** — Ulcer Performance Index; return over RMS percentage drawdown.
- **TailRatio** — 95th percentile over the absolute 5th percentile return.
- **KRatio** — Kestner; equity-curve OLS slope over the standard error of that slope.
- **CommonSenseRatio** — tail ratio times gain-to-pain.
- **GainToPainRatio** — sum of returns over the sum of absolute losses.

Multi-param (hand-written Python/Node bindings, variadic WASM macro):
- **UpsidePotentialRatio** — `new(period, mar)`; upside mean over downside deviation (Sortino philosophy).
- **M2Measure** — `new(period, risk_free, benchmark_stddev)`; Modigliani M², Sharpe rescaled into benchmark return units.

## Touchpoints
Core modules + unit tests, `mod.rs`/`lib.rs` wiring, Python/Node/WASM bindings (`index.d.ts`/`index.js` regenerated), fuzz drive lines, Python `SCALAR` registry + Node factories, CHANGELOG, and the indicator counters.

## Verification
- `cargo test -p wickra-core --lib` — 4149 passed
- `cargo test -p wickra-core --doc` — 457 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean
- `npm test` (node) — 577 passed
- `pytest` (python) — 947 passed
2026-06-08 13:23:01 +02:00
kingchenc fc6f619550 release: bump 0.7.1 -> 0.7.2 (#217)
Version bump 0.7.1 -> 0.7.2 for the B17 Market Profile batch (498 indicators).
2026-06-08 04:18:34 +02:00
kingchenc 91aa6fffbf feat(market-profile): naked POC, single prints, profile shape, HVN/LVN, composite profile (B17) (#216)
## B17 Market Profile — five new indicators (493 → 498)

| Indicator | Output | Notes |
|-----------|--------|-------|
| `NakedPoc` | `f64` | most recent untouched point-of-control level |
| `SinglePrints` | `f64` | count of single-print price levels |
| `ProfileShape` | `f64` | b/P/D shape classification as a numeric code |
| `HighLowVolumeNodes` | struct `{hvn, lvn}` | highest/lowest volume nodes |
| `CompositeProfile` | struct `{poc, vah, val}` | multi-session composite volume profile |

### Wiring
- Core structs + full unit tests; all join the existing **Market Profile** family.
- Hand-written Python/Node/WASM bindings (f64 via candle helpers; struct via PyArray2 / `#[napi(object)]` / `Object`+`Reflect::set`).
- Fuzz drives in `indicator_update_candle.rs`; CANDLE_SCALAR + MULTI registry tests + reference tests.
- README counter + `docs/README.md` + `FAMILIES` assert bumped to 498.

### Verify (local, all green)
- `cargo test -p wickra-core --lib`: 4066 · `--doc`: 448
- clippy workspace: clean
- node: 568 · pytest: 938
2026-06-08 04:17:06 +02:00
kingchenc 5862401958 release: bump 0.7.0 -> 0.7.1 (#215)
Version bump 0.7.0 -> 0.7.1 for the B16 Derivatives batch (493 indicators).
2026-06-08 03:35:31 +02:00
kingchenc ff5a047078 feat(derivatives): leverage, OI/volume, perpetual premium, funding APR, OI momentum (B16) (#214)
## B16 Derivatives — five new indicators (488 → 493)

All consume a `DerivativesTick` and emit `f64`:

| Indicator | Reads | Formula |
|-----------|-------|---------|
| `EstimatedLeverageRatio` | open_interest, long_size, short_size | `OI / (long + short)` |
| `OiToVolumeRatio` | open_interest, taker_buy_volume, taker_sell_volume | `OI / (buy + sell)` |
| `PerpetualPremiumIndex` | mark_price, index_price | `(mark − index) / index` |
| `FundingImpliedApr` | funding_rate | `rate × intervals_per_year` |
| `OpenInterestMomentum` | open_interest | `100 · (OI_t − OI_{t−period}) / OI_{t−period}` |

### Wiring
- Core structs + full unit tests (incl. zero-denominator branches).
- Hand-written Python/Node/WASM tick bindings; two new tick helpers (`deriv_oi_long_short`, `deriv_oi_taker`).
- Fuzz drives in `indicator_update_derivatives.rs`; dedicated reference + streaming-vs-batch tests (Python + Node).
- README counter + `docs/README.md` + `FAMILIES` assert bumped to 493.

### Verify (local, all green)
- `cargo test -p wickra-core --lib`: 4028 · `--doc`: 443
- clippy workspace: clean
- node: 563 · pytest: 928
2026-06-08 03:33:59 +02:00
kingchenc dc415a77fd release: bump 0.6.9 -> 0.7.0 (#213)
Version bump 0.6.9 -> 0.7.0 for the B15 Microstructure batch (488 indicators).
2026-06-08 03:10:16 +02:00
kingchenc e385734275 feat(microstructure): trade-sign autocorrelation, PIN, Hasbrouck information share (B15) (#212)
## B15 Microstructure — three new indicators (485 → 488)

| Indicator | Input | Output | Notes |
|-----------|-------|--------|-------|
| `TradeSignAutocorrelation` | `Trade` | `f64` ∈ [-1,1] | lag-1 autocorrelation of the signed aggressor (order-flow persistence) |
| `Pin` | `Trade` | `f64` ∈ [0,1] | probability of informed trading from rolling buy/sell imbalance (EKOP single-window estimator); `name()` = `"PIN"` |
| `HasbrouckInformationShare` | `(f64, f64)` | `f64` ∈ [0,1] | variance-ratio proxy for each venue's share of price discovery |

### Wiring
- Core structs + full unit tests (every branch).
- Hand-written Python/Node/WASM bindings for the two `Trade`-input indicators (precedent `TradeImbalance`); `node_pair_indicator!` / `wasm_pair_indicator!` macro bindings + hand Python pyclass for the pairwise Hasbrouck (precedent `RollingCorrelation`).
- Fuzz drives added to `indicator_update_trade.rs` and `indicator_update_pair.rs`.
- Dedicated Python + Node streaming-vs-batch and reference tests; Hasbrouck in the `PAIR` registry.
- README counter (3 spots) + `docs/README.md` + `FAMILIES` assert bumped to 488.

### Verify (all green, local)
- `cargo test -p wickra-core --lib`: 3991 passed
- `cargo test -p wickra-core --doc`: 438 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings`: clean
- node: 561 passed · pytest: 926 passed
2026-06-08 03:07:50 +02:00
kingchenc 3a46b210bb release: bump 0.6.8 -> 0.6.9 (#211)
Release 0.6.9 — ships the B14 Candlestick Patterns indicators (485 total). Version-string bump only.
2026-06-08 02:30:46 +02:00
kingchenc 943825d6a0 feat: add Candlestick Patterns deepening (B14, 6 indicators) (#209)
B14 of the family-deepening roadmap — six candlestick patterns (479 -> 485), all in the **Candlestick Patterns** family.

**Fixed-lookback (candle-pattern macro bindings, neutral 0.0 during warmup):**
- **Tristar** — three-doji star reversal.
- **Harami Cross** — Harami whose second candle is a contained doji.
- **Tower Top/Bottom** — tall bar, small pause, tall opposite bar.

**Windowed / parameterized (hand-bound, `candle -> f64`):**
- **Frying Pan Bottom** — rounded U-shaped accumulation base, recovery-confirmed.
- **Dumpling Top** — rounded dome-shaped distribution top, breakdown-confirmed.
- **New Price Lines** — run of N consecutive new closing highs (+1) / lows (-1).

Window/Gap (Rising-Falling) dropped (SKIP — existing gap coverage). Wiring complete across core, Python, Node, WASM, fuzz, tests, README + docs counter (485) and CHANGELOG. Verified: core 3966 + doc 435, clippy clean, node 560, python 922.
2026-06-08 02:29:24 +02:00
kingchenc d16df1e224 ci: warm the cargo registry with backoff so a DNS blip can't fail clippy (#210)
## Problem

A macOS runner on #206 failed the **Rust** job's clippy step with:

```
Updating crates.io index
error: failed to get `rayon` as a dependency ...
  download of config.json failed
  [6] Couldn't resolve host name (Could not resolve host: index.crates.io)
```

A pure transient DNS blip — unrelated to the change (a docs-only PR). `CARGO_NET_RETRY=10` only does fast in-process retries; a longer DNS outage outlasts them, so the very first cargo step's crates.io index fetch fails the whole job.

## Fix

Add a **Warm cargo registry** step right after the cache restore in the `rust`, `clippy-bindings` and `msrv` jobs. It runs `cargo fetch` in a 5-attempt loop with real backoff (20/40/60/80s sleeps) so the dependency graph is pulled once, patiently, riding out a multi-second DNS outage that cargo's rapid retries can't. The later clippy/build/test steps then resolve from the warmed local cache.

Mirrors the existing inline retry pattern already used for setup-node/setup-python CDN flakes. Can be extended to the coverage/python/wasm/node jobs if they ever hit the same blip.
2026-06-08 02:22:26 +02:00
kingchenc 34c097aee2 docs: refresh Python benchmark figures from a fresh measured run (#206)
The published Python benchmark tables (README/BENCHMARKS.md) were a stale, incoherent run. Re-measured locally with the current build (wickra 0.6.5, post batch fast-paths) via `compare_libraries.py` on the same 9950X.

- **Streaming vs talipp:** 11-56x (was 9-58x).
- **Batch:** real per-indicator numbers; MACD and ATR were notably off in the old table.
- **Prose:** Wickra beats TA-Lib on RSI and ATR (no longer MACD, which now trails 130 vs 111 us).

Rust tables unchanged. Numbers are a single coherent run; absolute us still depend on machine state (caveat already in the doc).
2026-06-08 02:13:13 +02:00
kingchenc acd7e8dc52 release: bump 0.6.7 -> 0.6.8 (#208)
Release 0.6.8 — ships the B13 Ichimoku & Charts indicators (479 total). Version-string bump only.
2026-06-08 01:50:32 +02:00
kingchenc ceaeb90a22 feat: add Ichimoku & Charts deepening (B13, 5 indicators) (#207)
B13 of the family-deepening roadmap — five alternative-chart indicators (474 -> 479), all in the **Ichimoku & Charts** family.

- **Smoothed Heikin-Ashi** (`candle -> struct {open, high, low, close}`) — a Heikin-Ashi candle computed from EMA-smoothed OHLC.
- **Heikin-Ashi Oscillator** (`candle -> f64`) — the HA body (`ha_close - ha_open`), optionally EMA-smoothed, as a zero-line oscillator.
- **Three Line Break** (`candle -> f64`) — line-break ("kakushi") chart trend direction; reverses only when the close breaks the extreme of the last N lines. Distinct from the candlestick `ThreeLineStrike`.
- **Equivolume** (`candle -> struct {height, width}`) — a box whose height is the bar range and width is volume-relative.
- **CandleVolume** (`candle -> struct {body, width}`) — a candle whose body is close-minus-open and width is volume-relative.

All bindings hand-written (3 struct-output + 2 candle-input-with-open / non-period-ctor). Wiring complete across core, Python, Node, WASM, fuzz, tests, README + docs counter (479) and CHANGELOG. Verified: core 3915 + doc 432, clippy clean, node 554, python 913.
2026-06-08 01:49:03 +02:00
kingchenc 57e26fb22f release: bump 0.6.6 -> 0.6.7 (#205)
Release 0.6.7 — ships the B12 DeMark indicators (474 total).

Version-string bump only: Cargo workspace + wickra-core dep, Python pyproject, Node package.json (+6 platform packages), both package-lock files, Cargo.lock, and CHANGELOG.
2026-06-08 01:14:23 +02:00
kingchenc 8431b1400c feat: add DeMark deepening (B12, 7 indicators) (#204)
B12 of the family-deepening roadmap — seven Tom DeMark indicators (467 -> 474).

**Candle -> +1/0 qualifier patterns (candlestick macro bindings):**
- **TD Camouflage** — hidden intrabar strength/weakness against the prior close.
- **TD Clop** — two-bar open/close engulfing reversal.
- **TD Clopwin** — the inside-body cousin of TD Clop (compression bar).
- **TD Propulsion** — continuation thrust closing beyond the prior extreme.
- **TD Trap** — inside ("trap") bar followed by a range breakout.

**Hand-bound:**
- **TD D-Wave** — streaming Elliott-style 1-5 / A-C swing-wave counter (candle -> f64, `strength` param).
- **TD Moving Averages** — ST1/ST2 median-price trend ribbon (candle -> struct {st1, st2}).

All seven join the existing **DeMark** family. Patterns follow the house-style
+1/0 candle-pattern convention (neutral 0.0 during warmup). Public binding names
use the family-consistent `TD...` casing.

Wiring complete across core, Python, Node, WASM, fuzz, tests, README + docs
counter (474) and CHANGELOG. Verified: core 3874 + doc 427, clippy clean,
node 549, python 903.
2026-06-08 01:12:46 +02:00
kingchenc ed01604a18 release: bump 0.6.5 -> 0.6.6 (#203)
Release 0.6.6 — ships the B11 Pivots & S/R indicators (467 total) plus the bit-exact batch fast paths and benchmark refresh from #202.

Version-string bump only: Cargo workspace + wickra-core dep, Python pyproject, Node package.json (+6 platform packages), both package-lock files, Cargo.lock, and CHANGELOG.
2026-06-08 00:21:34 +02:00
kingchenc 05fe7ffa90 perf: bit-exact batch fast paths + streaming-first benchmark docs (#202)
## Summary
- Dedicated batch fast paths for **EMA, RSI, Bollinger, MACD and ATR** (used by the Python bindings): one allocation filled in a single pass, warmup encoded as `NaN`, no per-element `Option` or input re-validation. Each is **bit-for-bit equal** to replaying `update` — SMA/Bollinger keep the drift-reseed cadence, the EMA-family keep the seed division and `mul_add` recurrences. Adds the `BatchNanExt` extension trait.
- **Cross-library benchmark refresh**: `compare_libraries.py` reports the median across timing rounds (`--rounds` / `--streaming-rounds`), gains `--skip-batch` / `--skip-streaming`, and runs every peer through the streaming arena (recompute for batch-only libraries). `wickra-bench` drives the batch fast paths against `kand`.
- **README** benchmark section reordered streaming-first (the order-of-magnitude result), with measured TA-Lib/tulipy/pandas-ta numbers in place of the CI-only placeholders.

## Impact
- Python batch ~2× faster on EMA/RSI/MACD/ATR; streaming path unchanged.
- The `batch == streaming` equivalence stays bit-exact.

## Verification
- `cargo fmt` · `cargo clippy --workspace --all-targets --all-features -- -D warnings` (clean)
- `cargo test --workspace --all-features` — 3782 unit + 420 doc tests pass
- Python `pytest` — streaming-vs-batch, known-values, input-validation, smoke pass

## Notes
- Node/WASM bindings keep their existing batch; the fast paths are Python-only for now.
2026-06-08 00:17:58 +02:00
kingchenc e97c3389fe feat: add Pivots & S/R indicators (B11) (#201)
Adds five support/resistance and pivot indicators, growing the catalog 462 -> 467.

## Indicators
- **CentralPivotRange** (Candle -> struct) — the classic pivot `(H+L+C)/3` flanked by two central levels (TC/BC); range width gauges trending vs balanced days.
- **MurreyMathLines** (Candle -> struct) — T. H. Murrey's eighths grid over a rolling high-low frame; nine levels (0/8 .. 8/8) acting as support/resistance.
- **AndrewsPitchfork** (Candle -> struct) — median line and two parallels projected forward from the last three auto-detected swing pivots (symmetric fractal of half-width `strength`).
- **VolumeWeightedSr** (Candle -> struct) — a band whose edges are the volume-weighted average of recent highs (resistance) and lows (support); falls back to equal weighting when window volume is zero.
- **PivotReversal** (Candle -> f64) — a `+1`/`-1` breakout signal fired on the bar where price closes through the most recently confirmed swing pivot.

## Wiring
Core structs with branch-complete unit tests, Python/Node/WASM bindings, fuzz drives, reference + streaming-vs-batch tests, README + docs counter sync (FAMILIES "Pivots & S/R"), and CHANGELOG entries.

Verified locally: `cargo fmt`, `cargo test -p wickra-core` (3798 lib + 425 doc), `cargo clippy --workspace --all-targets --all-features -D warnings`, `npm run build && npm test` (542), `maturin develop` + `pytest` (891).
2026-06-08 00:13:42 +02:00
kingchenc 4526278fa0 release: bump 0.6.4 -> 0.6.5 (#200)
Version bump for the **v0.6.5** release shipping the **B10 Ehlers / Cycle** family (#199): 452 -> 462 indicators. Bumps workspace + Python/Node/WASM package versions, lockfiles and CHANGELOG. No code changes.
2026-06-07 04:34:32 +02:00
kingchenc 80850c81f7 Add B10 Ehlers / Cycle deepening (10 indicators) (#199)
Deepens the **Ehlers / Cycle (DSP)** family (B10) with ten indicators (452 -> 462):

- **HighpassFilter**, **Reflex**, **Trendflex**, **CorrelationTrendIndicator**, **AdaptiveRsi**, **UniversalOscillator** — scalar (f64) Ehlers filters/oscillators.
- **AdaptiveCci** — efficiency-ratio-adaptive CCI on typical price (Candle input).
- **BandpassFilter**, **EvenBetterSinewave**, **AutocorrelationPeriodogram** — multi-arg scalar (hand-written bindings; the wasm variadic scalar macro covers wasm).

Verified locally: 3755 core lib + 420 doc tests, clippy clean, 537 node tests, 881 pytest, counter 462.
2026-06-07 04:25:16 +02:00
kingchenc 707f29e8e4 release: bump 0.6.3 -> 0.6.4 (#198)
Version bump for the **v0.6.4** release shipping the **B9 Price Statistics** family (#197): 447 -> 452 indicators. Bumps workspace + Python/Node/WASM package versions, lockfiles and CHANGELOG. No code changes.
2026-06-07 03:20:19 +02:00
kingchenc 389200f855 Add B9 Price Statistics deepening (5 indicators) (#197)
Deepens the **Price Statistics** family (B9) with five rolling-statistics indicators (447 -> 452):

- **ShannonEntropy** — Shannon entropy of a binned rolling value distribution.
- **SampleEntropy** — Richman-Moorman sample entropy (regularity/complexity of a window).
- **KendallTau** — Kendall rank correlation (tau-b) over paired observations (pairwise; distinct from Pearson/Spearman).
- **JarqueBera** — Jarque-Bera normality test statistic over a rolling window.
- **RollingMinMaxScaler** — maps the latest value to 0..1 over a rolling window.

All scalar f64 input except KendallTau (pairwise). Multi-arg scalars (Shannon/Sample entropy) use hand-written Python/Node bindings + the variadic wasm macro; KendallTau uses the pair macros. Verified locally: 3668 core lib + 410 doc tests, clippy clean, 527 node tests, 871 pytest, counter 452.
2026-06-07 03:08:53 +02:00
kingchenc 81406e7a1b release: bump 0.6.2 -> 0.6.3 (#196)
Version bump for the **v0.6.3** release shipping the **B8 Volume** family (#195): 440 -> 447 indicators. Bumps workspace + Python/Node/WASM package versions, lockfiles and CHANGELOG. No code changes.
2026-06-07 02:39:49 +02:00
kingchenc c78b84e186 Add B8 Volume family deepening (7 indicators) (#195)
Deepens the **Volume** family (B8) with seven indicators (440 -> 447):

- **VolumeRsi** — Wilder RSI computed on signed volume flow.
- **WilliamsAd** — Williams Accumulation/Distribution cumulative line (distinct from Chaikin A/D).
- **TwiggsMoneyFlow** — true-range volume accumulation with Wilder smoothing (distinct from CMF).
- **TradeVolumeIndex** — tick-direction volume accumulation past a min-tick threshold (distinct from TSV).
- **IntradayIntensity** — volume weighted by close position within the bar range.
- **BetterVolume** — VSA volume-vs-spread effort/result classifier.
- **VolumeWeightedMacd** — MACD computed on VWMA with signal line and histogram (struct output).

("Up/Down Volume Ratio" already ships from A2.) All Candle input; the six scalar stops emit f64, VolumeWeightedMacd a {macd, signal, histogram} struct. Hand-written Python/Node/WASM bindings for the volume signature. Verified locally: 3620 core lib + 405 doc tests, clippy clean, 522 node tests, 865 pytest, counter 447.
2026-06-07 02:30:56 +02:00
kingchenc fc6f3d80c2 release: bump 0.6.1 -> 0.6.2 (#194)
Version bump for the **v0.6.2** release shipping the **B7 Trailing Stops** family (#193): 434 -> 440 indicators.

Bumps workspace + Python/Node/WASM package versions, lockfiles and CHANGELOG (cuts the `[0.6.2]` section). No code changes.
2026-06-07 01:45:23 +02:00
kingchenc 2991ba411d Add B7 Trailing Stops family (6 indicators) (#193)
Adds the **Trailing Stops** family deepening (B7), six new indicators (434 -> 440):

- **KaseDevStop** — Cynthia Kase's volatility stop on the standard deviation of the two-bar true range.
- **ElderSafeZone** — Alexander Elder's stop offset by a multiple of average market noise.
- **AtrRatchet** — Kaufman ATR ratchet that tightens its multiple by a per-bar increment.
- **Nrtr** — Nick Rypock Trailing Reverse (percentage band).
- **TimeBasedStop** — exits after a fixed number of bars (scalar fraction of elapsed life).
- **ModifiedMaStop** — moving-average based trailing stop.

("Wilder Volatility System" is intentionally skipped — it overlaps the existing VoltyStop/Psar/SarExt.)

Each takes Candle input; the five band/structure stops emit a {value, direction} struct, TimeBasedStop a scalar. Wired across core, Python/Node/WASM bindings, fuzz target and tests. Verified locally: 3560 core lib + 398 doc tests, clippy clean, 515 node tests, 852 pytest, counter 440.
2026-06-07 01:32:15 +02:00
kingchenc 83e34c6f71 release: bump 0.6.0 -> 0.6.1 (#192)
Version bump for the v0.6.1 release shipping the B6 Bands & Channels family (#191): 429 -> 434 indicators.
2026-06-07 00:13:58 +02:00
kingchenc 67feec598a feat(indicators): add B6 Bands & Channels family (429 -> 434) (#191)
Adds the **B6 Bands & Channels** batch — five band/channel indicators, taking the catalogue from 429 to 434.

| Indicator | Input → Output | Summary |
|-----------|----------------|---------|
| `ProjectionBands` | `Candle` → `{upper,middle,lower}` | Widner forward-projected high/low regression envelope |
| `ProjectionOscillator` | `Candle` → `f64` | Close position inside the projection bands, scaled 0..100 |
| `QuartileBands` | `f64` → `{upper,middle,lower}` | Rolling 25th/50th/75th-percentile (Q1/median/Q3) envelope |
| `BomarBands` | `f64` → `{upper,middle,lower}` | Adaptive percentage bands containing a target coverage fraction of recent closes |
| `MedianChannel` | `f64` → `{upper,middle,lower}` | Robust median ± multiplier·MAD envelope |

All five are distinct from existing indicators (verified against the core: `LinRegChannel`, `StandardErrorBands`, `Donchian`, `RollingQuantile`, `HurstChannel`). SKIPped from the roadmap: Price Channel (= `Donchian`) and Moving-Average Channel (≈ `MaEnvelope`/`Keltner`).

Each ships:
- Core indicator with per-branch unit tests (Codecov-strict 100%).
- python / node / wasm bindings (struct outputs are hand-written; `ProjectionOscillator` uses the generated candle→f64 path).
- Fuzz drives, python (`MULTI`/`SCALAR_MULTI`/`CANDLE_SCALAR`) + node test registries, README + CHANGELOG counter bump to 434.

Verified locally: `cargo fmt`, `clippy --workspace --all-targets --all-features -D warnings` (clean), `wickra-core` 3511 lib + 392 doc tests, node 509 tests, pytest 840.
2026-06-07 00:03:02 +02:00
kingchenc 3dfbc415c5 release: bump 0.5.9 -> 0.6.0 (#190)
Version bump for the **v0.6.0** release (ships the B5 Volatility & Bands batch, #189 — 423 -> 429 indicators).

Bumps version strings across Cargo workspace, pyproject, node package.json + 6 platform packages, both package-lock.json files, and Cargo.lock; CHANGELOG `[Unreleased]` -> `[0.6.0]`. No code changes.

Versioning note: patch never reaches two digits — `0.5.9` rolls to the next minor `0.6.0` (not 0.5.10).
2026-06-06 22:48:56 +02:00
kingchenc 6b8c6a0e7f B5 volatility & bands batch (423 -> 429) (#189)
Adds six **Volatility & Bands** indicators (Part B5 of the expansion roadmap), 423 → 429.

| Indicator | Input → Output | Summary |
|-----------|----------------|---------|
| `EwmaVolatility` | `f64` → `f64` | RiskMetrics exponentially-weighted volatility (λ decay) |
| `Garch11` | `f64` → `f64` | GARCH(1,1) conditional volatility with a long-run-variance anchor |
| `BipowerVariation` | `f64` → `f64` | jump-robust realized bipower variation (π/2 · Σ\|rₜ\|\|rₜ₋₁\|) |
| `VolatilityRatio` | `Candle` → `f64` | Schwager's true range over the EMA of prior true ranges (>2 = wide-ranging day) |
| `VolatilityCone` | `Candle` → `VolatilityConeOutput` | current realized volatility within its min/median/max envelope + percentile |
| `VolatilityOfVolatility` | `f64` → `f64` | sample stddev of a rolling realized-volatility series |

### Notes
- Two B5 roadmap items were dropped as duplicates/by-construction: `RealizedVolatility` already ships (v0.5.4); `Downside Semi-Deviation` is internal to Sortino. `Bipower Variation` confirmed distinct from `JumpIndicator` (a ±1 flag, not a variance measure).
- `VolatilityRatio` implements the widely-charted EMA-of-true-range convention (denominator excludes the current bar so the 2.0 threshold means "twice typical"), distinct from the existing pairwise `variance_ratio`.
- `Garch11` mean-reverts to `ω/(1−β)` on a flat series (does not decay to 0 like EWMA) — pinned by a dedicated test.

### Coverage / verification
- Full core + Python/Node/WASM bindings, fuzz drivers (scalar + candle), registries, CHANGELOG, README + docs counter sync.
- 100% unit-test coverage per indicator (every branch).
- Green locally: `cargo clippy --workspace --all-targets --all-features -D warnings`, core lib (3479) + doc (387), node (504), python (830).

Deep-dive docs for all six are staged for `wickra-docs` and pushed after release (gated).
2026-06-06 22:38:34 +02:00
kingchenc db186b18d3 docs(readme): star-history chart + ci(sync-about): sync docs config count (#188)
Add a dark-mode star-history chart under the README footer thank-you line (all existing badges kept), and make sync-about also patch the indicator count into wickra-docs .vitepress/config.ts.
2026-06-06 21:32:35 +02:00
kingchenc 654da5722f release: bump 0.5.8 -> 0.5.9 (#187)
Patch release: streaming/batch perf (SMA, Bollinger, RSI, EMA, ATR; outputs unchanged), cross-library benchmark harness, honest tiered README. No new indicators, no API changes.
2026-06-06 21:09:05 +02:00
kingchenc aacb9280f1 Honest tiered cross-library benchmark + streaming/batch perf (#186)
## Summary

An honest, tiered cross-library benchmark — and the optimization pass it triggered.

### Performance (wickra-core, outputs unchanged)
Profiling against the other Rust TA crates exposed real inefficiencies. Each
benchmarked indicator is now **5–79% faster** in both streaming and batch:

- **SMA, Bollinger**: flat `Box<[f64]>` ring buffers replace `VecDeque` (−69…79%).
- **RSI**: `100·ag/(ag+al)` collapses three divisions into one; Wilder smoothing
  hoists `1/period` out of the hot path (−46%).
- **ATR**: reciprocal hoisted (−42%).
- **EMA/RSI/ATR**: per-tick `Option<f64>` hot state → bare `f64` + ready flag.

Net result vs `kand`: Wickra now wins **RSI, Bollinger and ATR** (streaming), and
ties `ta-rs` on SMA — up from losing every indicator 1.5–6× before.

### Benchmark harness
New `crates/wickra-bench` (publish=false): a Criterion benchmark comparing Wickra
against `kand`, `ta-rs` and `yata` on an identical BTCUSDT candle series, in
streaming and batch modes. Peer APIs were verified against their source, not
guessed. Wired into the nightly `cross-library-bench` workflow as a separate job.

### Honest README
The benchmark section is rewritten into three layered tables (Rust core vs Rust
crates; Python vs the Python ecosystem) that **show the losses as well as the
wins**. The "only library that combines…" claim is gone; the new framing is
breadth + multi-language reach + the deliberate safety trade-off that costs raw
speed. Added an origin/why-slower rationale and a star CTA.

### Python benchmark
Added `tulipy` runners and expanded per-tick streaming coverage to SMA/EMA/RSI/
MACD/Bollinger. `bench.in`/`bench.txt` now lock `TA-Lib` + `tulipy` (hash-pinned);
`pandas-ta` stays out (it requires Python ≥ 3.12, the bench runs on 3.11).

### Notes
- TA-Lib/tulipy numbers in the README Python table are marked ⧗ — they are
  produced by the CI Linux job (C extensions don't build cleanly on every
  desktop), not measured locally.
- The matching `wickra-docs` prose update is committed separately and will be
  pushed with the release, per the docs-don't-lead-the-registries rule.

Verified locally: `cargo fmt`, `cargo test --workspace --all-features` (3413 core
+ bindings), `cargo clippy --workspace --all-targets --all-features -D warnings`,
Node build + 498 tests, and pytest all green.
2026-06-06 20:57:31 +02:00
kingchenc d2bc000892 release: bump 0.5.7 -> 0.5.8 (#185)
Version bump for the B4 price oscillators release (#184): `TsfOscillator`, `MacdHistogram`, `PpoHistogram` — 420 → 423 indicators.

Bumps workspace + bindings (Cargo.toml/lock, pyproject, node package.json + 6 platform manifests + lockfiles) and rolls CHANGELOG `[Unreleased]` into `[0.5.8]`.
2026-06-04 19:47:22 +02:00
kingchenc 1f4bf9e3a6 feat(core): B4 price oscillators (TsfOscillator, MacdHistogram, PpoHistogram) (#184)
Adds three **Price Oscillators** family indicators (420 → 423).

## Indicators

- **TsfOscillator** — `100·(close − TSF)/close`, the percentage gap of the close to the **one-bar-ahead** time-series forecast. Close-relative companion to `Cfo`, which measures the same gap against the regression value at the *current* bar; the two differ by exactly the slope term `100·b/close`.
- **MacdHistogram** — the standalone `macd − signal` bar of MACD exposed as a plain `f64` series.
- **PpoHistogram** — the Percentage Price Oscillator with its 9-period signal EMA and the resulting scale-free, zero-centered histogram (PPO itself only emits the line).

All three are scalar `f64` indicators wrapping existing, already-tested building blocks (`MacdIndicator`, `Ppo` + `Ema`, `Tsf`).

## Scope notes (VORAB-CHECK)

The B4 roadmap listed six items; three were dropped to avoid duplicates:
- *Forecast Oscillator* already ships as `Cfo`.
- *Derivative Oscillator* already ships (`DerivativeOscillator`, B2).
- *Detrended Synthetic Price* deferred — no citable formula distinct from the existing `Apo`/`Dpo`.

## Touchpoints

Core (`tsf_oscillator.rs`, `macd_histogram.rs`, `ppo_histogram.rs`) with full per-branch unit tests, `mod.rs`/`lib.rs`, python/node/wasm bindings (wasm via typed-arg macro, python/node hand-written for the multi-arg histograms), fuzz drivers, python reference + streaming-vs-batch tests, node factories, README family row + counter, CHANGELOG.

Local verify: `cargo test --workspace` green, `clippy -D warnings` clean, node 498 tests, full python suite green.
2026-06-04 19:36:43 +02:00
kingchenc d36d514f56 fix(core): re-export GatorOscillatorOutput & KasePermissionStochasticOutput (#183)
The two market-profile struct-output indicators from the B3 batch (`GatorOscillator`, `KasePermissionStochastic`) exposed their public output structs from their own modules but did not re-export them from `indicators` / the crate root — unlike every other struct-output indicator (`ElderRayOutput`, `AlligatorOutput`, `QqeOutput`, …).

That left `wickra::GatorOscillatorOutput` / `wickra::KasePermissionStochasticOutput` un-nameable, so Rust callers could not annotate or store the `update` result by type. Surfaced by the wickra-docs Rust-snippet-compile check on the B3 deep-dives.

Re-export both alongside their structs. Both names end in `Output`, so the indicator counter strips them — catalog count stays **420**.
2026-06-04 18:43:26 +02:00
kingchenc 6e0464930e release: bump 0.5.6 -> 0.5.7 (#182)
Version bump 0.5.6 → 0.5.7 for the **B3 — Trend & Directional** batch (#181):
seven new indicators (`Qstick`, `TtmTrend`, `TrendStrengthIndex`,
`PolarizedFractalEfficiency`, `WavePm`, `GatorOscillator`,
`KasePermissionStochastic`), catalog 413 → 420.

Bumps: workspace `Cargo.toml` + `Cargo.lock`, `bindings/python/pyproject.toml`,
`bindings/node/package.json` + the six `npm/*/package.json` platform manifests,
both `package-lock.json` files, and the `CHANGELOG.md` `[Unreleased]` → `[0.5.7]`
roll with compare URLs.
2026-06-04 18:06:57 +02:00
kingchenc 13bc801f89 feat(indicators): B3 Trend & Directional batch (413 -> 420) (#181)
Adds the **B3 — Trend & Directional** batch: seven new indicators, taking the
catalog from 413 to 420 (Trend & Directional family).

| Indicator | Input → Output | Summary |
|-----------|----------------|---------|
| `Qstick` | candle → f64 | Chande's SMA of the candle body (close − open) |
| `TtmTrend` | candle → f64 (±1) | John Carter close-vs-median-SMA trend filter |
| `TrendStrengthIndex` | f64 → f64 | signed r² of an OLS regression of price vs time |
| `PolarizedFractalEfficiency` | f64 → f64 | Hannula directional trend efficiency |
| `WavePm` | f64 → f64 | Kase variance-normalised peak-momentum statistic (reconstruction) |
| `GatorOscillator` | candle → struct | Bill Williams Alligator convergence/divergence histogram |
| `KasePermissionStochastic` | candle → struct | double-smoothed stochastic permission filter |

Note: the roadmap's "Directional Indicator +DI/−DI" item is already covered by
the existing standalone `PlusDi` / `MinusDi` / `Dx`, so it is intentionally not
re-added.

All touchpoints wired: core (every-branch unit tests), Python/Node/WASM
bindings, fuzz drivers, Python test registries + reference tests, Node
factories, README/CHANGELOG counters.

Local verify: `cargo test -p wickra-core` (lib 3389 + doc 378), `cargo clippy
--workspace --all-targets --all-features -- -D warnings`, node build + 495
tests, maturin + 815 pytest, counter 420 == 420.
2026-06-04 17:57:24 +02:00
kingchenc ac8f6acf08 release: bump 0.5.5 -> 0.5.6 (#180)
Release bump `0.5.5 → 0.5.6` for the Momentum Oscillators family deepening
(#179): ten new indicators (DisparityIndex, FisherRsi, Rmi, DerivativeOscillator,
Rsx, DynamicMomentumIndex, IntradayMomentumIndex, StochasticCci, ElderRay, Qqe),
counter now 413.

Version strings only across all manifests + lockfiles; CHANGELOG `[Unreleased]`
rolled to `[0.5.6] - 2026-06-04` with the new compare links.
2026-06-04 15:35:41 +02:00
kingchenc 4f81222aed Deepen Momentum Oscillators family with ten additions (#179)
Deepens the **Momentum Oscillators** family with ten widely-used oscillators
(403 → 413 indicators), the second batch of Part B (family deepening).

| Indicator | Binding | Input → Output |
|-----------|---------|----------------|
| `DisparityIndex` | `DisparityIndex` | scalar → scalar |
| `FisherRsi` | `FisherRSI` | scalar → scalar |
| `Rmi` | `RMI` | scalar (period, momentum) → scalar |
| `DerivativeOscillator` | `DerivativeOscillator` | scalar (4 periods) → scalar |
| `Rsx` | `RSX` | scalar → scalar |
| `DynamicMomentumIndex` | `DynamicMomentumIndex` | scalar → scalar |
| `IntradayMomentumIndex` | `IMI` | candle (open+close) → scalar |
| `StochasticCci` | `StochasticCCI` | candle → scalar |
| `ElderRay` | `ElderRay` | candle → struct (bull/bear) |
| `Qqe` | `QQE` | scalar → struct (rsi_ma/trailing) |

LSMA was dropped from the planned set: it already ships as `LinearRegression`.

The single-period scalars use generated macro bindings; `Rmi` /
`DerivativeOscillator` use hand node/python bindings with the typed wasm macro;
`ElderRay`/`Qqe` use custom struct bindings; `IntradayMomentumIndex` uses custom
candle bindings carrying the open. Full coverage: core modules with per-branch
unit tests, mod/lib catalogue, FAMILIES + assert, README + docs counters,
CHANGELOG, all three bindings (regenerated `index.d.ts`/`index.js`), fuzz
drivers, and the python/node test registries.

Local verification: `cargo test -p wickra-core` (lib 3335 + doc 371),
`cargo clippy --workspace --all-targets --all-features -D warnings` clean,
node `npm run build && npm test` (488), python `pytest` (802).
2026-06-04 15:26:17 +02:00
kingchenc 0d2acad28d release: bump 0.5.4 -> 0.5.5 (#178)
Release bump `0.5.4 → 0.5.5` for the Moving Averages family deepening
(#177): seven new indicators (`SineWeightedMa`, `GeometricMa`, `Ehma`,
`MedianMa`, `AdaptiveLaguerreFilter`, `GeneralizedDema`, `HoltWinters`),
counter now 403.

Version strings only across all manifests + lockfiles; CHANGELOG `[Unreleased]`
rolled to `[0.5.5] - 2026-06-04` with the new compare links.
2026-06-04 13:55:26 +02:00
kingchenc b228a70d7d Deepen Moving Averages family with seven additions (#177)
Deepens the **Moving Averages** family with seven widely-used variants
(396 → 403 indicators), the first batch of Part B (family deepening).

All are scalar `f64 → f64`:

| Indicator | Binding | Notes |
|-----------|---------|-------|
| `SineWeightedMa` | `SWMA` | symmetric half-cycle sine-weighted window |
| `GeometricMa` | `GMA` | rolling geometric mean (log-space average) |
| `Ehma` | `EHMA` | exponential Hull MA (Hull construction over EMAs) |
| `MedianMa` | `MedianMA` | rolling median, robust to single outliers |
| `AdaptiveLaguerreFilter` | `AdaptiveLaguerre` | Ehlers' adaptive Laguerre filter (median-of-normalised-error γ) |
| `GeneralizedDema` | `GD` | Tillson's volume-factor double EMA; `v=1` is DEMA, `v=0` is EMA |
| `HoltWinters` | `HoltWinters` | Holt's linear double exponential smoothing (level + trend) |

LSMA was dropped from the planned set: it already ships as `LinearRegression`
(TA-Lib `LINEARREG`, the rolling least-squares endpoint).

The five single-period filters use the generated scalar macro bindings;
`GeneralizedDema` (period, v) and `HoltWinters` (alpha, beta) use hand-written
node/python bindings with the typed wasm macro (precedent `T3` / `Alma`).

Full coverage: core modules with per-branch unit tests (100% intent), mod/lib
catalogue, FAMILIES group + assert, README + docs counters, CHANGELOG, all three
bindings (regenerated `index.d.ts` / `index.js`), fuzz drivers, and the
python/node test registries.

Local verification: `cargo test -p wickra-core` (lib 3255 + doc 361),
`cargo clippy --workspace --all-targets --all-features -D warnings` clean,
node `npm run build && npm test` (478), python `pytest` (791).
2026-06-04 13:44:51 +02:00
kingchenc 8dc7158912 release: bump 0.5.3 -> 0.5.4 (#176)
Version bump 0.5.3 -> 0.5.4 for the release that ships the 19 external-feature-coverage indicators (#175, 377 -> 396).

Bumped: Cargo workspace + wickra-core dep, Cargo.lock (cargo build), pyproject.toml, node package.json (+6 optionalDependencies), 6 npm platform package.json, both package-lock.json, CHANGELOG ([Unreleased] -> [0.5.4]).

fmt/test/clippy green locally.
2026-06-04 12:14:29 +02:00
kingchenc fcb221ec03 feat: add 19 indicators for external feature-extractor coverage (377 -> 396) (#175)
Adds 19 streaming indicators so an external trading-bot feature extractor can replace its hand-built features with native, batch/streaming-equivalent ones. Each is a real gap (verified against the existing catalogue), production-only, with full Python/Node/WASM bindings, fuzz drivers, and tests. Five commits, one per family group; counter 377 -> 396.

## What's added

**Price Statistics (6)** — `LogReturn`, `RealizedVolatility` (raw quadratic variation, the un-annualised counterpart to `HistoricalVolatility`), `RollingQuantile`, `RollingIqr`, `RollingPercentileRank`, `SpreadAr1Coefficient` (pairwise AR(1) rho of the spread; complements `OuHalfLife`).

**Price Action (4)** — `CloseVsOpen`, `BodySizePct`, `WickRatio`, `HighLowRange` (stateless per-bar OHLC transforms).

**Regime / Trend / Jump labels (3)** — `TrendLabel` (sign of the rolling OLS slope), `JumpIndicator` (return outliers vs trailing volatility, measured as deviation from the trailing mean so steady drift is not flagged), `RegimeLabel` (volatility-quantile regime split).

**Risk / Performance (2)** — `WinRate`, `Expectancy` (R-multiple).

**Microstructure (4)** — `OrderFlowImbalance` (Cont-Kukanov-Stoikov OFI), `Vpin`, `AmihudIlliquidity`, `RollMeasure`. These reuse the existing `OrderBook` / `Trade` inputs (no new input type).

## Intentionally NOT added (already present, would be duplicates)

- **Population skew / kurtosis** — `skewness.rs` / `kurtosis.rs` are already population moments (divisor n).
- **Hurst R/S** — `hurst_exponent.rs` already uses rescaled-range (R/S) analysis.
- **Queue Imbalance** — exactly `OrderBookImbalanceTop1` ((bidSize - askSize) / (bidSize + askSize)).

## Verification

`cargo test -p wickra-core` (lib 3187 + doc 354), `cargo clippy --workspace --all-targets --all-features -D warnings` clean, node `npm run build && npm test` (471), python `pytest` (784). Counter consistent across `mod.rs`, lib block, README, and docs/README at 396.
2026-06-04 12:00:35 +02:00
kingchenc a93af60796 release: bump 0.5.2 -> 0.5.3 (#174)
Version bump publishing the **Fibonacci** family (10 tools across A5a + A5b, catalogue 377 indicators / twenty-four families):

`FibRetracement`, `FibExtension`, `FibProjection`, `AutoFib`, `GoldenPocket`, `FibConfluence`, `FibFan`, `FibArcs`, `FibChannel`, `FibTimeZones`.

Version strings + lockfiles only (Cargo.toml, pyproject.toml, package.json + 6 npm platform manifests, both package-lock.json, Cargo.lock); CHANGELOG `[0.5.3]` section + compare URLs.
2026-06-04 01:25:31 +02:00
kingchenc 5a1d607807 feat(indicators): A5b Fibonacci tools (geometric) (#172)
Completes the **Fibonacci** family with the four geometric/time tools (catalogue 373 -> 377). All extend the internal `pattern_swing` ZigZag tracker with a per-pivot bar index and a current-bar counter (additive — the chart/harmonic detectors are unaffected), and emit `Candle -> struct` outputs via custom Python/Node/WASM bindings.

| Tool | Output |
|------|--------|
| `FibFan` | three trendlines fanning from a swing start through its 38.2/50/61.8% retracement levels, extended to the current bar |
| `FibArcs` | semicircular retracement levels centred on the swing end, normalised by the leg's bar-width (chart-scale-free) |
| `FibChannel` | a sloped base trendline plus parallel lines at Fibonacci multiples of the channel width |
| `FibTimeZones` | markers at Fibonacci bar-distances (1/2/3/5/8/...) from the latest swing pivot |

The geometric tools are novel as streaming indicators; each normalises its geometry to the swing leg's bar-width so the output is chart-scale-free. Formulas are documented in each module and deep-dive.

Fully wired: core (100% unit-tested branches incl. the new `pattern_swing` bar tracking), Python/Node/WASM struct bindings, fuzz, reference + streaming-vs-batch tests.

Verification: `cargo test --workspace` green, clippy `-D warnings` clean, node 454 tests, python 768 tests.
2026-06-04 01:12:09 +02:00
kingchenc ea9da12d86 docs(governance): document continuity and succession plan (#173)
Add a Continuity and succession section to GOVERNANCE.md (trusted-contact emergency access to credentials enabling continuity within a week). Closes OpenSSF Silver access_continuity.
2026-06-04 01:09:52 +02:00
kingchenc 716eb40206 feat(indicators): A5a Fibonacci tools (price-level) (#171)
Adds the six price-level Fibonacci tools as a new **Fibonacci** family (catalogue 367 -> 373, twenty-four families). All build on the internal `pattern_swing` ZigZag tracker, are parameter-free (baked 5% swing threshold), and emit `Candle -> struct` outputs via custom Python/Node/WASM bindings.

| Tool | Output |
|------|--------|
| `FibRetracement` | seven levels (0/23.6/38.2/50/61.8/78.6/100%) of the last swing leg |
| `FibExtension` | five extension ratios (127.2/141.4/161.8/200/261.8%) projected beyond the leg |
| `FibProjection` | A-B-C measured-move target zone (61.8/100/161.8/261.8%) |
| `AutoFib` | retracement anchored on the dominant (largest-magnitude) recent leg |
| `GoldenPocket` | the 0.618-0.65 optimal-trade-entry band (low/mid/high) |
| `FibConfluence` | densest cluster of retracement levels across recent legs (price + strength) |

Fully wired: core (100% unit-tested branches), Python/Node/WASM struct bindings, fuzz driver, reference + streaming-vs-batch tests, README/docs counter. The four geometric/time tools (Fan, Arcs, Channel, Time Zones) follow in A5b.

Verification: `cargo test --workspace` green, clippy `-D warnings` clean, node 450 tests, python 760 tests.
2026-06-04 00:47:00 +02:00
kingchenc 8115d3b33d release: bump 0.5.1 -> 0.5.2 (#170)
Version bump to release the A4 Chart Patterns (#166) and Harmonic Patterns (#169) families (catalogue 351 -> 367).
2026-06-03 23:39:10 +02:00
kingchenc 4250ed99f4 feat(patterns): add the Harmonic Patterns family (8 XABCD detectors) (#169)
## Summary

Adds a new **Harmonic Patterns** indicator family (counter 359 → 367, families 22 → 23) — the second half of the A4 roadmap item, following the Chart Patterns family in #166.

Eight Fibonacci-ratio detectors built on the shared swing-pivot tracker (`indicators::pattern_swing`) plus two new helpers there — `xabcd` (reads the last five pivots as X-A-B-C-D) and `ratios_in` (checks a list of `(value, low, high)` Fibonacci windows in one expression, no multi-line `&&` coverage gaps). Each consumes candles and emits the uniform pattern sign convention — `+1.0` bullish (terminal point D a swing low), `-1.0` bearish (D a swing high), `0.0` otherwise, never `None`. Parameter-free, with the Fibonacci windows documented as constants per detector.

## Detectors

| Indicator | Defining ratio |
|-----------|----------------|
| `Abcd` | four-point AB=CD (BC retraces AB, CD ≈ AB) |
| `Gartley` | AD/XA ≈ 0.786 |
| `Butterfly` | AD/XA ∈ 1.27–1.618 (extended D) |
| `Bat` | AD/XA ≈ 0.886, shallow B |
| `Crab` | AD/XA ≈ 1.618 (deepest D) |
| `Shark` | expansion AB, AD/XA 0.886–1.13 |
| `Cypher` | BC on XA, CD/XC ≈ 0.786 |
| `ThreeDrives` | two symmetric extension drives |

## Touchpoints

Core modules + `FAMILIES` group/assert, crate root re-exports, Python/Node/WASM bindings via the candle-pattern macros (Node `index.d.ts`/`index.js` regenerated), the candle fuzz target (`// --- Harmonic Patterns ---` section), Python reference + `CANDLE_SCALAR` registry tests and the Node candle-scalar factory, README catalogue counter + banner cache-buster + family table row + family-count word, `docs/README.md` counter, and the changelog.

## Verification

- `cargo test -p wickra-core --lib` — 2966 passed
- `cargo test -p wickra-core --doc` — 335 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean
- Node `npm run build && npm test` — 444 passed
- Python `maturin develop --release` + `pytest` — 748 passed

Every detector branch is unit-tested, including a bullish and a bearish match per pattern to cover both output arms, plus an out-of-ratio non-match. Fibonacci windows use standard harmonic-trading ranges with documented tolerance bands.
2026-06-03 23:24:25 +02:00
kingchenc 995f119010 feat(patterns): add the Chart Patterns family (8 swing-based detectors) (#166)
## Summary

Adds a new **Chart Patterns** indicator family (counter 351 → 359, families 21 → 22), the first half of the A4 roadmap item (the harmonic patterns follow in a second PR).

All eight detectors are built on a shared, non-repainting swing-pivot tracker — the internal, **uncounted** `indicators::pattern_swing` module (declared `pub(crate) mod`, re-exported nowhere). Each consumes candles and emits the uniform pattern sign convention already used by the candlestick family — `+1.0` bullish / `-1.0` bearish / `0.0` otherwise, never `None`. They are parameter-free, baking the swing threshold (5%) and level tolerance (3%) in as documented constants, mirroring how candlestick patterns bake in their geometric thresholds.

## Detectors

| Indicator | Signal |
|-----------|--------|
| `DoubleTopBottom` | twin-peak / twin-trough reversal |
| `TripleTopBottom` | three matching extremes (stronger reversal) |
| `HeadAndShoulders` | central head + matching shoulders + flat neckline (and inverse) |
| `Triangle` | ascending (+1) / descending (-1) / symmetrical |
| `Wedge` | rising wedge (-1) / falling wedge (+1) |
| `FlagPennant` | shallow consolidation against a pole → continuation |
| `RectangleRange` | flat support/resistance mean-reversion |
| `CupAndHandle` | rounded base + shallow handle (and inverse) |

## Touchpoints

Core modules + `FAMILIES` group and assert, crate root re-exports, Python/Node/WASM bindings via the candle-pattern macros (Node `index.d.ts`/`index.js` regenerated), the candle fuzz target, Python reference + `CANDLE_SCALAR` registry tests and the Node candle-scalar factory, README catalogue counter + banner cache-buster + family table row + family-count word, `docs/README.md` counter, and the changelog.

## Verification

- `cargo test -p wickra-core --lib` — 2915 passed
- `cargo test -p wickra-core --doc` — 335 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean
- Node `npm run build && npm test` — 436 passed
- Python `maturin develop --release` + `pytest` — 732 passed

Every detector branch is unit-tested; multi-condition predicates were flattened to single-line precomputed booleans to keep patch coverage at 100%.
2026-06-03 22:55:36 +02:00
kingchenc 05d2e5dc61 ci(scorecard): pass a read-only PAT for the Branch-Protection check (#168)
Pass a read-only fine-grained PAT (SCORECARD_TOKEN) as repo_token so the OpenSSF Scorecard Branch-Protection check can read classic branch-protection rules instead of failing with an internal error.
2026-06-03 22:51:28 +02:00
kingchenc 404bcb040c docs: add threat model and security policies (#167)
Add THREAT_MODEL.md and SECURITY.md sections: secrets management, release verification, end-of-support, dependency/code-scanning remediation policy, and a VEX statement. Closes OSPS Baseline L3 documentation gaps (SA-03.02, BR-07.02, DO-03.01/03.02/05.01, VM-04.02/05.01/05.02/06.01). Additive only.
2026-06-03 22:40:56 +02:00
kingchenc 00ce899cc3 docs: add public ROADMAP (#165)
Add a public ROADMAP.md describing project direction and pointing to the issue tracker as the authoritative view. Closes the OpenSSF Silver documentation_roadmap gap.
2026-06-03 22:19:24 +02:00
kingchenc b6ead740e8 docs: add governance, support, DCO and security assurance case (#164)
Add GOVERNANCE.md, MAINTAINERS.md, SUPPORT.md, DCO; add a DCO sign-off requirement to CONTRIBUTING.md and a security assurance case to SECURITY.md. Closes OpenSSF Silver / OSPS Baseline documentation gaps. Additive only.
2026-06-03 22:16:03 +02:00
kingchenc 755f4aa0f6 docs: add OpenSSF Best Practices badge to README (#163)
Adds the OpenSSF Best Practices passing badge next to the OpenSSF Scorecard badge in the README header.

The project earned a passing badge: https://www.bestpractices.dev/projects/13094
2026-06-03 21:44:34 +02:00
kingchenc 4d602df8a3 release: bump 0.5.0 -> 0.5.1 (#162)
Version bump **0.5.0 → 0.5.1** for the Seasonality & Session family release (12 indicators, PR #161).

Bumped: `Cargo.toml` (workspace version + `wickra-core` dep), `Cargo.lock` (via `cargo build`), `bindings/python/pyproject.toml`, `bindings/node/package.json` (+ 6 `optionalDependencies`), the 6 `bindings/node/npm/<platform>/package.json`, both `package-lock.json` files, and `CHANGELOG.md` (`[Unreleased]` → `[0.5.1]` + compare URLs).

No code changes — version strings only.
2026-06-03 20:55:13 +02:00
kingchenc 3ab2d6ec2d feat(seasonality): add the Seasonality & Session family (12 indicators) (#161)
## Summary

Adds the **Seasonality & Session** family — the first family that reads the wall-clock fields of `Candle::timestamp`. A new private `calendar` module decomposes an epoch-millisecond instant (shifted by a per-indicator `utc_offset_minutes`) into civil fields via Howard Hinnant's branch-light `civil_from_days` algorithm. Session / day / month rollovers are detected automatically, so callers never have to invoke `reset()` at a boundary.

Indicator counter **339 → 351**; family count **20 → 21**.

## Indicators

| Shape | Indicators |
|-------|-----------|
| Scalar (`f64`) | `SessionVwap`, `AverageDailyRange`, `OvernightGap`, `TurnOfMonth`, `SeasonalZScore` |
| Struct | `SessionHighLow`, `SessionRange` (Asia/EU/US), `OvernightIntradayReturn` |
| Profile (`Vec<f64>`) | `TimeOfDayReturnProfile`, `DayOfWeekProfile`, `IntradayVolatilityProfile`, `VolumeByTimeProfile` |

## Bindings

The input is the **full** candle (`open, high, low, close, volume, timestamp`), not the `high/low/close` slice the value-indicator helper assumes, so the Python / Node / WASM bindings are custom full-candle implementations:

- **Python** — `update((o,h,l,c,v,ts))`; `batch(open, high, low, close, volume, timestamp)` → `PyArray1` (scalar) / `PyArray2` (struct & profile), warmup rows `NaN`.
- **Node** — `update(open, high, low, close, volume, timestamp)`; `batch(...)` → flat `Vec<f64>`; struct outputs as `#[napi(object)]` values.
- **WASM** — `update` only (multi-input precedent); profiles as `Float64Array`, structs as camelCase objects, `timestamp` as `BigInt`.

## Verification

- `wickra-core`: full per-branch unit tests, **100%** coverage target; 2852 lib tests + 334 doctests green.
- `cargo clippy --workspace --all-targets --all-features -- -D warnings`: clean.
- Node: 428 tests (dedicated `seasonality.test.js` streaming-vs-batch).
- Python: full suite + dedicated `test_seasonality.py` streaming-vs-batch.
- Counter check: mod-count == counted lib block == 351.
2026-06-03 20:31:32 +02:00
kingchenc 5e96d41916 chore: add REUSE-style LICENSES directory for license auto-detection (#160)
Adds a `LICENSES/` directory with SPDX-named copies of the existing license texts (`MIT.txt`, `Apache-2.0.txt`) per the [REUSE Specification](https://reuse.software/spec/).

## Why
Automated license scanners (the OpenSSF Best Practices BadgeApp, GitHub's license API, REUSE tooling) look for a top-level `LICENSE`/`COPYING` file or a `LICENSES/` directory with SPDX-named files. Our files are named `LICENSE-MIT` / `LICENSE-APACHE` (Rust convention), which these scanners do not recognize — so the BadgeApp's `license_location` check keeps auto-flipping to "Unmet".

## What
- New `LICENSES/MIT.txt` — byte-identical copy of `LICENSE-MIT`
- New `LICENSES/Apache-2.0.txt` — byte-identical copy of `LICENSE-APACHE`
- Existing `LICENSE-MIT` and `LICENSE-APACHE` are **unchanged**

The project remains dual-licensed under **MIT OR Apache-2.0**. This change is additive only.
2026-06-03 20:00:40 +02:00
kingchenc 099ae66b57 release: bump 0.4.7 -> 0.5.0 (#159)
Version bump for the 0.5.0 release, which ships the relicense to MIT OR Apache-2.0.

Stacked on #158 (base branch `chore/relicense-mit-apache`) so this PR's diff is the bump only. After #158 merges to main, GitHub retargets this PR to main; merge it, then tag `v0.5.0` to publish.

## Changes
- Bump 0.4.7 -> 0.5.0 across the Cargo workspace, Python `pyproject.toml`, Node `package.json` + 6 platform manifests + 2 lockfiles, and `Cargo.lock`.
- CHANGELOG: cut the [0.5.0] section (the relicense) and add compare URLs.
- SECURITY.md: supported versions 0.4.x -> 0.5.x.

Minor (not patch) bump: a relicense is a significant change. No code changes.

NOTE: do not tag/release until you give the go (irreversible publish to crates.io/PyPI/npm). Suggested merge order: #158 -> this -> tag `v0.5.0` -> then the downstream PRs.
2026-06-03 18:53:23 +02:00
kingchenc 11dd659b5f Relicense from PolyForm Noncommercial to MIT OR Apache-2.0 (#158)
Relicenses Wickra from PolyForm Noncommercial 1.0.0 to the dual, OSI-approved **MIT OR Apache-2.0** (the de-facto Rust convention). Wickra becomes permissive, commercial-use-permitted open source; users may choose either license.

## Changes
- Replace `LICENSE` (PolyForm) with `LICENSE-MIT` + `LICENSE-APACHE` (full texts).
- Cargo: workspace `license = "MIT OR Apache-2.0"` (SPDX) + all 7 sub-crates switched from `license-file.workspace` to `license.workspace`.
- `deny.toml`: drop PolyForm from the allowlist.
- Python: `pyproject.toml` PEP 639 SPDX expression; remove the non-commercial classifier (verified: sdist metadata emits `License-Expression: MIT OR Apache-2.0`).
- Node: `package.json`, the 6 platform manifests and both lockfiles.
- README + Python/Node/WASM binding READMEs, CONTRIBUTING, CITATION.cff, PR template, and the WASM `pkg.license` step in `release.yml`.
- SECURITY.md: refresh supported versions 0.1.x -> 0.4.x.
- CHANGELOG: note the relicense under [Unreleased].

## Notes
- No code changes; metadata/text only. `cargo build` and `cargo deny check licenses` pass locally.
- GitHub will auto-detect "MIT, Apache-2.0" once this lands (currently NOASSERTION).
- Matching downstream changes (org `.github` profile, webpage, docs) are in separate PRs; merge those together with the relicense release so the live sites and org profile do not claim MIT before the packages do.
2026-06-03 18:49:39 +02:00
kingchenc c096943bdf feat(breadth): complete the Market Breadth family (14 indicators) (#157)
Completes expansion-roadmap block **A2 — Market Breadth**: the 14 indicators that remained after the `AdvanceDecline` bootstrap, all built on the existing `CrossSection` input.

## Indicators (all scalar `Indicator<Input = CrossSection, Output = f64>`)

| Indicator | Reading |
|-----------|---------|
| `AdvanceDeclineRatio` | advancers / decliners |
| `AdVolumeLine` | cumulative net advancing volume |
| `McClellanOscillator` | 19/39 EMAs of ratio-adjusted net advances |
| `McClellanSummationIndex` | running total of the oscillator |
| `Trin` (Arms Index) | A/D ratio over up/down volume ratio |
| `BreadthThrust` (Zweig) | SMA of the advancing-issues share |
| `NewHighsNewLows` | new highs − new lows |
| `HighLowIndex` | SMA of the record-high percent |
| `PercentAboveMa` | % of the universe above its MA |
| `UpDownVolumeRatio` | advancing / declining volume |
| `BullishPercentIndex` | % on a point-and-figure buy signal |
| `CumulativeVolumeIndex` | volume-normalised cumulative net advancing volume |
| `AbsoluteBreadthIndex` | \|advancers − decliners\| |
| `TickIndex` | instantaneous net advancers − decliners |

## Input model

`AdVolumeLine` and `CumulativeVolumeIndex` are kept distinct (the latter normalises each tick's net advancing volume by total volume, so it stays comparable across volume regimes). `PercentAboveMa` and `BullishPercentIndex` need a per-symbol state signal that `Member` did not carry, so `Member` gains two additive flags (`above_ma`, `on_buy_signal`) via a new `Member::with_signals` constructor; the 4-arg `Member::new` leaves both cleared, so every existing caller and binding is unchanged. `CrossSection` gains volume / new-extreme / state aggregation helpers.

## Wiring

Fully wired across the Rust core, the python/node/wasm bindings, the cross-section fuzz target, the README + docs indicator counters (325 → 339), and dedicated python/node streaming-vs-batch tests. `fmt` / `test --workspace --all-features` / `clippy --workspace -D warnings` / node build+test / pytest all green locally.
2026-06-03 17:24:33 +02:00
kingchenc c44f625e69 release: bump 0.4.6 -> 0.4.7 (#156)
Routine patch release. Ships the 10 pairwise stat-arb indicators added to Price Statistics in #154 (Rolling Correlation, Rolling Covariance, OU Half-Life, Kalman Hedge Ratio, Variance Ratio, Spread Bollinger Bands, Spread Hurst, Distance SSD, Granger Causality, Beta-Neutral Spread) together with the new Market Breadth family and its `CrossSection` input type (AdvanceDecline).

Version strings bumped `0.4.6 -> 0.4.7` across:
- `Cargo.toml` (workspace + `wickra-core` dep), `Cargo.lock`
- `bindings/python/pyproject.toml`
- `bindings/node/package.json` (+ 6 optional platform deps) and the 6 `npm/<platform>/package.json`
- `bindings/node/package-lock.json`, `examples/node/package-lock.json`
- `CHANGELOG.md` — `[Unreleased]` rolled into `[0.4.7] - 2026-06-03` with refreshed compare links

No code changes. `fmt` / `test --workspace` / `clippy --workspace -D warnings` green locally.
2026-06-03 16:02:30 +02:00
kingchenc 46dc8f5a00 ci(sync-about): read-only PR counter check, no bot fix-up push (#155)
## Problem
On every indicator PR the `sync-about` workflow found `docs/README.md` lagging `lib.rs` (the wiring only bumped `README.md`) and pushed a `wickra-bot` *"sync indicator count"* commit onto the PR head. That push uses `GITHUB_TOKEN`, which **triggers no workflows**, so it moved the PR head onto a commit with no CI run — and the **Codecov patch status** (keyed to the PR head sha) stopped surfacing on the PR.

## Fix
- The indicator wiring (`ScriptHelpers/_common.py` `wire_readme_counter`) now bumps **both** `README.md` and `docs/README.md` in the author's code commit, so the counter is already correct when CI runs.
- This workflow's PR flow is reduced to a **read-only check** that fails loud (fork and same-repo PRs alike) if either counter is stale, and **never pushes**.
- The `GITHUB_TOKEN` job permission drops from `contents: write` back to `read` (OpenSSF Scorecard: Token-Permissions). The removed `ctx` step + push steps are gone.
- The `main`/tag outward syncs (About description, docs/webpage/wiki/org) are **unchanged** — they use the `ABOUT_SYNC_TOKEN` PAT, not `GITHUB_TOKEN`.

## Effect
Indicator PRs keep their head on the code commit → the Codecov patch status surfaces again. No functional change to merged-main state (the counts still land, now inside the squash-merged code commit).
2026-06-03 15:40:24 +02:00
kingchenc a3a1ae4dba Add 10 pairwise stat-arb indicators to Price Statistics (#154)
Adds ten pairwise `(f64, f64)` indicators to the **Price Statistics** family, completing the A1 stat-arb expansion block.

## Indicators

**Scalar output:**
- **RollingCorrelation** — rolling Pearson correlation of period-over-period *returns* (distinct from level-based `PearsonCorrelation`).
- **RollingCovariance** — rolling covariance of returns.
- **OuHalfLife** — Ornstein–Uhlenbeck half-life of mean reversion of the spread `a − b`.
- **SpreadHurst** — Hurst exponent of the spread (variance-of-lagged-differences fit) for regime detection.
- **DistanceSsd** — Gatev sum-of-squared-deviations between two start-normalised series.
- **BetaNeutralSpread** — rolling OLS regression residual `a − (α + β·b)`.
- **VarianceRatio** — Lo–MacKinlay variance-ratio test on the spread (two params: `period`, `q`).
- **GrangerCausality** — F-statistic for whether `b` predicts `a` (two params: `period`, `lag`).

**Struct output (custom bindings):**
- **KalmanHedgeRatio** — dynamic hedge ratio via a Kalman filter → `{ hedgeRatio, intercept, spread }`.
- **SpreadBollingerBands** — Bollinger bands on the spread → `{ middle, upper, lower, percentB }`.

## Notes
- No new traits or input families: all use the native `Indicator<Input = (f64, f64)>` (precedent `Beta`, `Cointegration`).
- Adds `Error::InvalidParameter` for floating-point constructor parameters (Kalman `delta`/`observation_var`, `num_std`).
- Full Python/Node/WASM bindings; the two struct-output indicators are hand-written, the rest use the pair macros.
- Indicator count 315 → 325; README, family rows, `__init__`, fuzz target, and CHANGELOG updated.

## Verification
- `cargo test --workspace --all-features` — green (2676 core lib + 308 doc).
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean.
- Node: `npm run build && npm test` — 410 passing (`index.d.ts`/`index.js` regenerated).
- Python: `pytest` — 684 passing.
2026-06-03 15:39:55 +02:00
kingchenc 53941b7b07 feat: add Market Breadth family with CrossSection input (#153)
## What

Adds a new indicator input type and family for **market-breadth** analysis — indicators that aggregate the state of an entire universe of symbols at each tick, rather than a single instrument's price. This is the last open input-type on the expansion roadmap (S10) and unblocks the remaining breadth indicators (McClellan, TRIN, High-Low Index, ...).

## Core

- **`CrossSection` input type** (`crates/wickra-core/src/cross_section.rs`) — one tick carrying the per-symbol state of the whole universe as a `Vec<Member>` + `timestamp`. Each `Member` precomputes a signed `change` (sign classifies advancing / declining / unchanged), a `volume`, and `new_high` / `new_low` extreme flags, so the breadth indicators stay stateless per tick. Both `Member` and `CrossSection` are `#[non_exhaustive]` for additive field growth. `CrossSection::new` validates the universe (non-empty, finite changes, finite non-negative volumes); `new_unchecked` skips validation for hot paths. `advancers()` / `decliners()` count by sign.
- **`Error::InvalidCrossSection`** variant for the validation failures.
- **`AdvanceDecline`** (`advance_decline.rs`) — the Advance/Decline Line: the running cumulative sum of net advancing-minus-declining issues. `Input = CrossSection`, `Output = f64`, ready after the first tick.
- New **"Market Breadth"** `FAMILIES` group; indicator count **314 → 315**, family count nineteen → twenty.

## Bindings

All custom (CrossSection is non-scalar, so no macros apply). The universe crosses each boundary as parallel arrays (`change`, `volume`, `new_high`, `new_low`):
- **Python / Node** expose `update` + `batch` (one array group per tick). Node satisfies the completeness contract (`update`/`batch`/`reset`/`isReady`/`warmupPeriod`).
- **WASM** exposes only `update` (the universe is ragged across ticks, matching the other multi-input wasm indicators) with numeric high/low flags.
- Python `map_err` gains the new error arm; `__init__.py` gets a `# Market Breadth` section in both the import and `__all__` blocks. `index.d.ts` / `index.js` regenerated.

## Tests / Fuzz

- Dedicated **streaming-vs-batch + reference-value + ragged-rejection** tests in Python (`test_new_indicators.py`) and Node (`indicators.test.js`) — kept out of the scalar/candle parametrize lists.
- Rust unit tests cover every reject branch (empty / non-finite change / negative & non-finite volume) and every indicator branch.
- New fuzz target `indicator_update_crosssection` drives `AdvanceDecline` over bounded ragged universes built with `new_unchecked`.

## Verify

- `cargo fmt --all` clean
- `cargo test -p wickra-core --lib` → 2593 passed; `--doc` → 298 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` clean
- `cd bindings/node && npm run build && npm test` → 398 passed
- `maturin develop --release` + `pytest bindings/python/tests` → all passed
- counter check: mod-count 315 == lib-block 315
2026-06-03 04:11:10 +02:00
kingchenc 72ec65bbde fix: classify pairwise indicators into Price Statistics family (#152)
## What

The `FAMILIES` table in `crates/wickra-core/src/indicators/mod.rs` had drifted from the indicator count: `mod`-count was **314** but the FAMILIES total asserted **309**.

The five pairwise indicators `Cointegration`, `LeadLagCrossCorrelation`, `PairSpreadZScore`, `PairwiseBeta` and `RelativeStrengthAB` were exported via `pub use` but never assigned to a `FAMILIES` group — even though the README and docs already list them under **Price Statistics**. The "−5 offset" was therefore unclassified drift, not an intentional cross-asset offset.

## Change

- Add the five indicators to the `Price Statistics` group, next to the existing pairwise cluster (`PearsonCorrelation` / `Beta` / `SpearmanCorrelation`).
- Bump the drift assert `309 → 314` so the FAMILIES total now equals the `mod`-count exactly (offset 0).

No new indicators, no binding or doc changes — purely re-classification. The `mod`-count stays 314, so no counter bump.

## Verify

- `cargo fmt --all` clean
- `cargo test -p wickra-core --lib` → 2578 passed (incl. the FAMILIES drift test)
- `cargo clippy --workspace --all-targets --all-features -- -D warnings` clean
2026-06-03 03:38:14 +02:00
kingchenc 82d1a4fe77 release: bump 0.4.5 -> 0.4.6 (#151)
Routine patch release. Ships the **19 TA-Lib parity indicators** (DM components, price transforms, ROC ratio forms, LinReg intercept / TSF, MACDFIX / MACDEXT / SAREXT, Hilbert phasor / DC-phase / trend-mode) added in #148, with the cold-path coverage fix from #150 — indicator count **314**, repo back at 100%.

Version strings bumped `0.4.5 -> 0.4.6` across:
- `Cargo.toml` (workspace + `wickra-core` dep), `Cargo.lock`
- `bindings/python/pyproject.toml`
- `bindings/node/package.json` (+ 6 optional platform deps) and the 6 `npm/<platform>/package.json`
- `bindings/node/package-lock.json`, `examples/node/package-lock.json`
- `CHANGELOG.md` — `[Unreleased]` rolled into `[0.4.6] - 2026-06-03` with refreshed compare links

No code changes. `fmt` / `clippy --workspace -D warnings` green locally.
2026-06-03 02:56:00 +02:00
kingchenc f71b3b6b49 test: cover the cold paths in the TA-Lib parity batch (100% patch) (#150)
PR #148 merged at **99.67%** patch coverage — `codecov/patch` flagged seven by-construction-rare lines in three of the new indicators that no test exercised. This brings the batch back to 100%.

**`ht_dcphase` / `ht_trendmode`** (6 lines) — the dominant-cycle phase recovery guards against a near-zero imaginary part (where `atan(real/imag)` is undefined) by collapsing to ±90° on the sign of the real part. That branch is unreachable with realistic price data. Extracted the phase-unwrap arithmetic into a private `compute_dc_phase(real, imag, smooth_period)` helper — a pure refactor with byte-identical output — and unit-tested it directly with crafted `(real, imag)` pairs, covering both the ±90 collapse and the normal `atan` path.

**`sar_ext`** (1 line) — `Accel::validate`'s non-finite guard was only ever hit for non-positive terms, never non-finite ones, despite the test comment claiming both. Added `NaN` / `infinity` cases on the long and short acceleration schedules.

No behaviour or public-API change. Locally: `cargo test -p wickra-core` (2578 + 297 doctests) and `clippy --workspace -D warnings` all green.
2026-06-03 02:48:11 +02:00
kingchenc d081cb9581 docs: list the 19 TA-Lib parity indicators in the README family rows (#149)
The TA-Lib parity batch (#148) bumped the indicator counter to 314, but `sync-about` only syncs the *number* — the family-table prose in the README still listed the pre-batch set. This fills the 19 new names into their existing family rows so the catalogue matches the count.

- **Momentum Oscillators**: ROC Percentage (ROCP), ROC Ratio (ROCR), ROC Ratio 100 (ROCR100)
- **Trend & Directional**: MACD Fixed (MACDFIX), MACD Extended (MACDEXT), Plus DM, Minus DM, Plus DI, Minus DI, DX
- **Trailing Stops**: Parabolic SAR Extended (SAREXT)
- **Price Statistics**: Mid Price, Mid Point, Average Price, Linear Regression Intercept, Time Series Forecast
- **Ehlers / Cycle (DSP)**: Hilbert Phasor, Hilbert DC Phase, Hilbert Trend Mode

No new family — the "nineteen families" wording and the 314 counter are untouched. Docs-only, no code changes.
2026-06-03 02:36:09 +02:00
kingchenc 9eb46f144a feat: TA-Lib parity — 19 standalone indicators (DM components, price transforms, ROC/LinReg/MACD/SAR variants, Hilbert outputs) (#148)
Closes the remaining TA-Lib function-name gap by shipping each missing or
bundled-only function as a real, standalone, fully-covered indicator. 19 new
indicators across 5 families; mod-count 295 -> 314.

### Trend & Directional — Directional Movement components
- `PlusDm` (`PLUS_DM`), `MinusDm` (`MINUS_DM`) — Wilder-smoothed ±DM.
- `PlusDi` (`PLUS_DI`), `MinusDi` (`MINUS_DI`) — `100·smoothed(±DM)/ATR`.
- `Dx` (`DX`) — `100·|+DI−−DI|/(+DI+−DI)`.

### Price Statistics
- `AvgPrice` (`AVGPRICE`) — `(O+H+L+C)/4`.
- `MidPoint` (`MIDPOINT`) — `(max+min)/2` of a scalar series over N.
- `MidPrice` (`MIDPRICE`) — `(highestHigh+lowestLow)/2` over N.
- `LinRegIntercept` (`LINEARREG_INTERCEPT`) — OLS intercept.
- `Tsf` (`TSF`) — time series forecast `a + b·period`.

### Momentum Oscillators
- `Rocp` (`ROCP`), `Rocr` (`ROCR`), `Rocr100` (`ROCR100`) — ROC ratio forms.

### Trailing Stops
- `SarExt` (`SAREXT`) — Parabolic SAR with start value, reversal offset,
  separate long/short acceleration, signed output.

### Trend & Directional — MACD variants
- `MacdFix` (`MACDFIX`) — MACD fixed 12/26.
- `MacdExt` (`MACDEXT`) — MACD with a selectable moving-average type per line
  (new public `MaType` enum: SMA/EMA/WMA/DEMA/TEMA/TRIMA).

### Ehlers / Cycle (DSP) — Hilbert transform outputs
- `HtPhasor` (`HT_PHASOR`) — in-phase / quadrature components.
- `HtDcPhase` (`HT_DCPHASE`) — dominant-cycle phase (degrees).
- `HtTrendMode` (`HT_TRENDMODE`) — trend (1) vs cycle (0) classification.

Each indicator ships the full chain: core + every-branch unit tests, Python /
Node / WASM bindings, fuzz coverage, README counter + family rows, CHANGELOG.
`cargo test`, doctests, `clippy -D warnings`, `npm test` and pytest all green
locally; mod-count == lib-block == README counter (314), FAMILIES total 309.
2026-06-03 02:26:38 +02:00
kingchenc 9a98e9bf55 release: bump 0.4.4 -> 0.4.5 (#147)
Version bump for 0.4.5: ships Anchored RSI, Volume Profile, TPO Profile and the Alt-Chart Bars family (Renko/Kagi/Point & Figure). Indicator count 289 -> 295.
2026-06-02 22:14:47 +02:00
kingchenc d4b3f9dbd1 feat: add Alt-Chart Bars (Renko, Kagi, Point & Figure) via a BarBuilder trait (#146)
Introduces a BarBuilder trait for price-driven chart constructors that emit a variable number of bars per candle (deliberately not Indicator). Adds Renko (box-size bricks, 2-box reversal), Kagi (reversal-amount segments) and Point & Figure (box-size X/O columns, N-box reversal) in a new Alt-Chart Bars family, with custom Python/Node/WASM bindings, a dedicated fuzz target, tests and docs. Indicator count 292 -> 295.
2026-06-02 21:56:00 +02:00
kingchenc f37eedd44e feat: add Volume Profile and TPO Profile to the market profile family (#145)
Volume Profile exposes the full per-bin volume histogram (price bounds plus raw distribution) that Value Area reduces to POC/VAH/VAL. TPO Profile is the volume-agnostic Time-Price-Opportunity letter count over a rolling window. Both candle-input, Vec-output, Market Profile family, with custom Python/Node/WASM bindings, fuzz, benches, tests and docs. Indicator count 290 -> 292.
2026-06-02 21:16:30 +02:00
kingchenc 93097db482 feat: add Anchored RSI to the momentum oscillators family (#144)
Cumulative Relative Strength Index whose averaging begins at a runtime-chosen anchor bar (set_anchor), the momentum counterpart to Anchored VWAP. Scalar f64 input, 0..=100 output; wired through core, Python, Node and WASM bindings, fuzz, benches, tests and docs. Indicator count 289 -> 290.
2026-06-02 20:50:56 +02:00
kingchenc 2f3a0b9149 release: bump 0.4.3 -> 0.4.4 (#143)
Release 0.4.4.

Version bump only — no code changes. Ships the 40 TA-Lib candlestick patterns
(parts 2–9, #132–#141, 249 → 289 indicators) plus the candlestick rejection-
guard coverage tests (#142) that landed on `main` since 0.4.3.

Bumped: workspace `Cargo.toml` (+ `wickra-core` dep) and `Cargo.lock`,
`bindings/python/pyproject.toml`, `bindings/node/package.json` (+ 6 platform
`optionalDependencies`), the 6 `bindings/node/npm/*/package.json`, both
`package-lock.json` files, and `CHANGELOG.md` ([Unreleased] → [0.4.4]).
2026-06-02 18:10:24 +02:00
kingchenc 49c0fd7dd5 ci: Dependabot cooldown + accept residual zizmor notes (#136)
Clears the remaining zizmor code-scanning findings on this repo.

**Fixed**
- `dependabot-cooldown` (5): a 7-day cooldown on every update ecosystem
  (cargo, npm, pip, ci-pip, github-actions) so Dependabot waits a week after a
  release before opening the bump PR.

**Accepted via `.github/zizmor.yml`** (no workflow code changed)
- `template-injection` (sync-about.yml): false positive — every expansion is the
  internal `grep -c` indicator count, not attacker-controllable.
- `use-trusted-publishing` (release.yml): OIDC migration tracked separately.
- `superfluous-actions` (release.yml): `softprops/action-gh-release` kept deliberately.

Verified with zizmor 1.25.2: 0 findings.
2026-06-02 17:59:46 +02:00
kingchenc 3d98592461 test: cover candlestick pattern rejection guards (#142)
Closes the coverage gaps in the candlestick-pattern family that landed across
PRs #132–#141. Codecov flagged 25 uncovered lines on `main` (99.93%) — all in
the new candlestick files, and all early-return rejection guards or unused
`Default` impls that the accept-path unit tests never exercised.

This PR adds focused white-box unit tests (one or two per affected file) that
drive each rejection branch through the public `update()` API:

- **Zero-range guards** — a flat bar (`high == low`) at the relevant window
  position: `DojiStar`, `InNeck`, `OnNeck`, `Thrusting`, `SeparatingLines`,
  `EveningDojiStar`, `MorningDojiStar`, `GapSideBySideWhite`,
  `FallingThreeMethods`, `RisingThreeMethods`, `MatHold`.
- **Too-short trigger body** — a wide-range bar with a tiny body that fails the
  "long body" check: the three-bar stars, the three-methods pair, `MatHold`,
  `SeparatingLines`.
- **Shape-specific guards** — `GapSideBySideWhite` body-size mismatch, `MatHold`
  bar-2 fails to gap up.
- **`Default` impls** — `LongLine` / `ShortLine` (`default()` was never called).

No production code changes; tests only. `cargo test -p wickra-core` and
`cargo clippy -p wickra-core --all-targets -- -D warnings` pass locally.
2026-06-02 17:52:04 +02:00
kingchenc 124efb4432 feat: TA-Lib candlestick patterns — tasuki-gap/unique-three-river/marubozu-pair/concealing-baby-swallow (part 9 of 9) (#141)
The final batch of the TA-Lib candlestick roadmap. Adds five patterns, each a streaming `Indicator<Input = Candle, Output = f64>` emitting the family's uniform `±1.0 / 0.0` sign convention, fully wired across the Rust core, Python / Node / WASM bindings, fuzz target and reference tests.

- **Tasuki Gap** (`CDLTASUKIGAP`) — a 3-bar continuation: two same-coloured candles gap in the trend direction, then an opposite candle opens within the second body and closes back into the gap without filling it; upside +1, downside -1.
- **Unique Three River** (`CDLUNIQUE3RIVER`) — a 3-bar bullish reversal: a long black candle, a black candle probing a new low with its body inside the first, then a small white candle held below it; bullish +1.
- **Closing Marubozu** (`CDLCLOSINGMARUBOZU`) — a single long-bodied candle with no shadow on the close end; +1 (white, closes at the high) or -1 (black, closes at the low).
- **Opening Marubozu** — a single long-bodied candle with no shadow on the open end; +1 (white, opens at the low) or -1 (black, opens at the high). No direct TA-Lib equivalent — completes the pair with the closing marubozu.
- **Concealing Baby Swallow** (`CDLCONCEALBABYSWALL`) — a rare 4-bar bullish capitulation: two black marubozu, a black candle gapping down with an upper shadow into the second, then a large black candle engulfing it entirely; bullish +1.

Body and shadow thresholds follow the geometric house style (fixed fractions of the bar range) rather than TA-Lib's rolling averages.

Counter 284 → 289 (mod-count == lib counted block; FAMILIES total 279 → 284).

Stacked on #140 (`feat/cdl-gap-methods`); base retargets to `main` as the stack merges down.
2026-06-02 17:27:39 +02:00
kingchenc 4d0bc08efd feat: TA-Lib candlestick patterns — gap-three-methods/stalled/stick-sandwich/takuri (part 8 of 9) (#140)
Adds five TA-Lib candlestick patterns, each a streaming `Indicator<Input = Candle, Output = f64>` emitting the family's uniform `±1.0 / 0.0` sign convention, fully wired across the Rust core, Python / Node / WASM bindings, fuzz target and reference tests.

- **Upside Gap Three Methods** (`CDLXSIDEGAP3METHODS`) — a 3-bar bullish continuation: two white candles gap up, then a black candle opens within the second body and closes within the first; bullish +1.
- **Downside Gap Three Methods** (`CDLXSIDEGAP3METHODS`) — the bearish mirror: two black candles gap down, then a white candle opens within the second body and closes within the first; bearish -1.
- **Stalled Pattern** (`CDLSTALLEDPATTERN`) — a 3-bar bearish reversal warning: two long white candles then a small white candle riding the shoulder, signalling the rally is stalling; bearish -1.
- **Stick Sandwich** (`CDLSTICKSANDWICH`) — a 3-bar bullish reversal: two black candles closing at the same level sandwich a white candle, marking a support floor; bullish +1.
- **Takuri** (`CDLTAKURI`) — a single-bar bullish reversal, a strict Dragonfly Doji with a negligible upper shadow and very long lower shadow; bullish +1.

Body and shadow thresholds follow the geometric house style (fixed fractions of the bar range) rather than TA-Lib's rolling averages. Upside / Downside Gap Three Methods share the `CDLXSIDEGAP3METHODS` code, so the second carries a manual CHANGELOG entry (as with Rising / Falling Three Methods).

Counter 279 → 284 (mod-count == lib counted block; FAMILIES total 274 → 279).

Stacked on #139 (`feat/cdl-lines`); base retargets to `main` once the predecessor merges.
2026-06-02 17:24:42 +02:00
kingchenc c2c85c7ecf feat: TA-Lib candlestick patterns — matching-low/lines/three-methods (part 7 of 9) (#139)
Adds five TA-Lib candlestick patterns, all `Input = Candle`, `Output = f64`
(`+1.0` bullish / `-1.0` bearish / `0.0` no pattern), wired across core,
Python/Node/WASM bindings, fuzz, and tests.

- **Matching Low** (`CDLMATCHINGLOW`) — 2-bar bullish reversal: two black candles in a decline share the same close, signalling selling pressure is exhausting; bullish +1.
- **Long Line** (`CDLLONGLINE`) — a candle whose range beats a rolling average of recent ranges with a body-dominated range; bullish +1 (white) / bearish -1 (black).
- **Short Line** (`CDLSHORTLINE`) — a compact candle whose range falls below the rolling average with a body-dominated range; bullish +1 (white) / bearish -1 (black).
- **Rising Three Methods** (`CDLRISEFALL3METHODS`) — 5-bar bullish continuation: a long white candle, three small bars holding within its range, then a white breakout to new highs; bullish +1.
- **Falling Three Methods** (`CDLRISEFALL3METHODS`) — the bearish mirror: a long black candle, three small bars within its range, then a black breakdown to new lows; bearish -1.

Counter 274 → 279 (mod-count == lib counted block; FAMILIES total 269 → 274).

Stacked on #138 (part 6 of 9); base retargets to `main` as the chain merges.
2026-06-02 17:16:15 +02:00
kingchenc 04ae145126 feat: TA-Lib candlestick patterns — separating/kicking/ladder/mat-hold (part 6 of 9) (#138) 2026-06-02 17:06:40 +02:00
kingchenc e4ca9c3f8f feat: TA-Lib candlestick patterns — hikkake-mod/pigeon/neck-lines (part 5 of 9) (#137)
* feat: add hikkake-modified, homing-pigeon and neck-line candlestick patterns

Five patterns, all `Input = Candle`, `Output = f64`:

- Modified Hikkake (CDLHIKKAKEMOD) — a close-confirmed Hikkake: an inside bar
  then a breakout that closes back inside the inside-bar range; bullish +1,
  bearish -1.
- Homing Pigeon (CDLHOMINGPIGEON) — two black candles, the second a small body
  inside the first, a bullish reversal; +1.
- On-Neck (CDLONNECK) — long black bar then a white bar closing at its low (the
  neckline), a bearish continuation; -1.
- In-Neck (CDLINNECK) — long black bar then a white bar closing just into its
  body, a bearish continuation; -1.
- Thrusting (CDLTHRUSTING) — long black bar then a white bar closing well into
  but below the midpoint of its body, a bearish continuation; -1.

Counter 264 -> 269 (mod-count == lib counted block; FAMILIES total 259 -> 264).

* chore: sync indicator count to 269

---------

Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
2026-06-02 17:03:49 +02:00
kingchenc d43bc9ddf3 feat: TA-Lib candlestick patterns — doji-star/gap/high-wave/hikkake (part 4 of 9) (#135)
* feat: add doji-star, gap, high-wave and hikkake candlestick patterns

Five patterns, all `Input = Candle`, `Output = f64`:

- Evening Doji Star (CDLEVENINGDOJISTAR) — bearish top reversal: long white bar,
  a doji gapping up, then a black bar closing deep into the first body; -1
  (penetration configurable, default 0.3).
- Morning Doji Star (CDLMORNINGDOJISTAR) — bullish bottom reversal mirror; +1.
- Gap Side-by-Side White (CDLGAPSIDESIDEWHITE) — two similar white candles
  opening side by side after a gap, a continuation; gap up +1, gap down -1.
- High-Wave (CDLHIGHWAVE) — a small body with very long shadows on both sides,
  an extreme indecision flag; +1 on detection.
- Hikkake (CDLHIKKAKE) — an inside bar followed by a failed breakout (a trap);
  bullish +1, bearish -1.

Counter 259 -> 264 (mod-count == lib counted block; FAMILIES total 254 -> 259).

* chore: sync indicator count to 264

---------

Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
2026-06-02 16:54:47 +02:00
kingchenc 244d754707 feat: TA-Lib candlestick patterns — Doji family (part 3 of 9) (#134)
* feat: add Doji-family candlestick patterns

Five single-/two-bar Doji patterns, all `Input = Candle`, `Output = f64`:

- Doji Star (CDLDOJISTAR) — a long body followed by a doji gapping away in the
  trend direction; bullish +1 (after a black bar), bearish -1 (after a white bar).
- Dragonfly Doji (CDLDRAGONFLYDOJI) — a doji opening and closing at the high with
  a long lower shadow; bullish +1.
- Gravestone Doji (CDLGRAVESTONEDOJI) — a doji opening and closing at the low with
  a long upper shadow; bearish -1.
- Long-Legged Doji (CDLLONGLEGGEDDOJI) — a doji with long shadows on both sides; a
  non-directional indecision flag, +1 on detection.
- Rickshaw Man (CDLRICKSHAWMAN) — a long-legged doji with the body centred in the
  range; a non-directional indecision flag, +1 on detection.

Counter 254 -> 259 (mod-count == lib counted block; FAMILIES total 249 -> 254).

* chore: sync indicator count to 259

---------

Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
2026-06-02 16:45:08 +02:00
kingchenc 03ceac1f3b feat: TA-Lib candlestick patterns — abandoned/advance/belt/break/counter (part 2 of 9) (#132)
* feat: add Abandoned Baby candlestick pattern (CDLABANDONEDBABY)

* feat: add Advance Block candlestick pattern (CDLADVANCEBLOCK)

* feat: add Belt Hold candlestick pattern (CDLBELTHOLD)

* feat: add Breakaway and Counterattack candlestick patterns (CDLBREAKAWAY, CDLCOUNTERATTACK)

Breakaway is a 5-bar reversal: a trend gaps away on the second bar, drifts
two more bars, then the fifth bar snaps back and closes inside the bar1/bar2
body gap (bullish +1, bearish -1). Counterattack is a 2-bar reversal where an
opposite-coloured long second bar closes level with the first (the counterattack
line; bullish +1, bearish -1).

Also suppress libtest's spanless `large_stack_arrays` false positive in
wickra-core test builds: the `#[test]` harness collects every test into a
compiler-generated array of references that crosses clippy's 16 KB threshold
once the suite passes ~2048 unit tests. The allow is scoped to `cfg(test)`, so
library code is still linted for genuinely large stack arrays.

* chore: sync indicator count to 254

---------

Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
2026-06-02 16:34:15 +02:00
kingchenc 73415cd2dc ci: zizmor security hardening (#133)
* ci: pass ref context through env in release tag step

zizmor flagged the "Resolve target tag" step in release.yml for
template-injection: github.event_name / github.ref / github.ref_name
were interpolated directly into the shell script. On a tag push the tag
name is attacker-influenceable, so a crafted tag could inject commands.

Move all three context values into the step env and reference them as
shell variables instead. Verified with zizmor 1.16.3: template-injection
findings on release.yml drop from 2 to 0.

* ci: accept release.yml build caches via zizmor config

The release pipeline restores Swatinem/rust-cache and actions/setup-node
caches as a deliberate optimisation. zizmor flags all eight under
cache-poisoning because release.yml publishes to crates.io / PyPI / npm.
The caches are maintainer-controlled and the restore speedup is kept on
purpose, so accept the finding via a zizmor config ignore for release.yml
rather than running cache-free release builds. (Six of the eight are
actions/setup-node, reported at Low confidence.)

Adds .github/zizmor.yml; release.yml now reports 0 high findings.

* ci: drop persisted checkout credentials on read-only jobs

zizmor's artipacked audit flags every actions/checkout that keeps the
default persisted credential: the token is written to the runner's
.git/config, where it can leak if a later step packs .git into an
uploaded artifact, or be read by another step in the same job.

Set persist-credentials: false on the 20 checkouts whose jobs never push
or authenticate to git (build/test/clippy/msrv/coverage/supply-chain/
fuzz/python/wasm/node in ci.yml, plus bench.yml, codeql.yml, the seven
release.yml build/publish jobs, and sync-metadata.yml). The publish and
release jobs authenticate to crates.io / npm / PyPI / the GitHub API with
their own tokens, not persisted git credentials, so this is safe.

sync-about.yml genuinely pushes the indicator-count fix-up to the PR
branch, so it keeps its credential and is accepted via .github/zizmor.yml.
zizmor artipacked for the repo drops to 0 (0 high, 0 medium remaining).
2026-06-02 02:08:40 +02:00
kingchenc ad51dbc1a3 fix: keep docs/README indicator count in sync-about (#131)
* fix: keep docs/README indicator count in sync-about

The docs/README.md pointer prose names the indicator count
("**N indicators**") but was never part of the sync-about counter
pipeline, so it drifted to 214 while the real count (lib.rs) is 249.

Add docs/README.md to the PR-flow gate check, the patch sed, and the
fix-up commit so future count changes keep it in sync, and correct the
current stale value to 249.

* docs: fix stale Wiki reference in CONTRIBUTING layout table

The project-layout table still described docs/ as a "Pointer to the
project Wiki" even though the wiki was retired and the docs moved to
docs.wickra.org (wickra-lib/wickra-docs). Align the row with the
already-correct doc-site section further down the same file.
2026-06-01 23:35:03 +02:00
kingchenc f09057aaf1 feat: TA-Lib candlestick patterns — crows & three-line (part 1 of 9) (#130)
* feat: add Two Crows candlestick pattern (CDL2CROWS)

* feat: add Upside Gap Two Crows candlestick pattern (CDLUPSIDEGAP2CROWS)

* feat: add Identical Three Crows candlestick pattern (CDLIDENTICAL3CROWS)

* feat: add Three Line Strike candlestick pattern (CDL3LINESTRIKE)

* feat: add Three Stars in the South candlestick pattern (CDL3STARSINSOUTH)
2026-06-01 23:20:10 +02:00
kingchenc 458ef2385e ci: add zizmor GitHub Actions security scanning (#129) 2026-06-01 22:34:03 +02:00
kingchenc 2d140419bb feat: derivatives basis & calendar-spread indicators (part 3 of 3) (#128)
* feat(derivatives): TermStructureBasis indicator (core)

* feat(derivatives): CalendarSpread indicator (core)

* feat(derivatives): Python, Node and WASM bindings for basis & calendar-spread indicators

* test(derivatives): Python and Node tests for basis & calendar-spread indicators

* docs(derivatives): README row + counter 242->244, CHANGELOG part 3; fuzz basis indicators
2026-06-01 22:07:35 +02:00
kingchenc 8e5bfd07ce feat: derivatives open-interest, flow & liquidation indicators (part 2 of 3) (#127)
* feat(derivatives): OIPriceDivergence indicator (core)

* feat(derivatives): OIWeighted indicator (core)

* feat(derivatives): LongShortRatio indicator (core)

* feat(derivatives): TakerBuySellRatio indicator (core)

* feat(derivatives): LiquidationFeatures multi-output indicator (core)

* feat(derivatives): Python, Node and WASM bindings for OI, flow & liquidation indicators

* test(derivatives): Python and Node tests for OI, flow & liquidation indicators

* fuzz(derivatives): drive OI, flow & liquidation indicators in derivatives target

* docs(derivatives): README row + counter 237->242, CHANGELOG part 2
2026-06-01 21:50:35 +02:00
kingchenc 5eb820a9c7 feat: derivatives funding & open-interest indicators (part 1 of 3) (#126)
* feat(derivatives): DerivativesTick input type + InvalidDerivatives error

* feat(derivatives): FundingRate indicator (core)

* feat(derivatives): FundingRateMean indicator (core)

* feat(derivatives): FundingRateZScore indicator (core)

* feat(derivatives): FundingBasis indicator (core)

* feat(derivatives): OpenInterestDelta indicator (core)

* feat(derivatives): Python, Node and WASM bindings for funding & OI-delta indicators

* test(derivatives): Python and Node tests for funding & OI-delta indicators

* bench(derivatives): synthetic-tick bench + derivatives fuzz target

* docs(derivatives): README family row + counter 232->237, CHANGELOG entry
2026-06-01 21:26:37 +02:00
kingchenc fae60e0d54 release: bump 0.4.2 -> 0.4.3 (#125) 2026-06-01 20:49:11 +02:00
kingchenc 433b06367f ci: bump actions/checkout v4.3.1 -> v6.0.2 in codeql & scorecard (#124) 2026-06-01 20:24:20 +02:00
kingchenc 3dd7010129 feat: footprint microstructure indicator (part 4 of 4) (#123) 2026-06-01 20:00:58 +02:00
kingchenc 4f11df0e33 feat: microstructure price-impact & depth indicators (part 3 of 4) (#122)
* feat: effective spread microstructure indicator (part 3 of 4)

* feat: realized spread microstructure indicator (part 3 of 4)

* feat: kyle's lambda microstructure indicator (part 3 of 4)

* feat: depth slope microstructure indicator (part 3 of 4)
2026-06-01 19:45:38 +02:00
kingchenc b5d9e47a2e release: bump 0.4.1 -> 0.4.2 (#121) 2026-06-01 18:29:32 +02:00
kingchenc 511d3a27f7 ci: self-updating README banner + fix webpage count sync (#119)
* ci: fix webpage count sync crashing on removed public/hero.svg

The webpage indicator-count sync sed'd index.md, .vitepress/config.ts and
public/hero.svg, but hero.svg was removed from wickra-lib/webpage (the count is
now baked into og-banner.webp at build time from index.md). Under 'bash -e' the
missing file made sed exit 2 before the commit/push, so the count never reached
the webpage repo and its OG banner stayed stale — masked green by the step's
continue-on-error. Drops public/hero.svg from the sed and git add; index.md and
.vitepress/config.ts (both still carry the count) remain.

* docs: point README banner at the self-updating org profile image

Switches the top README banner from https://wickra.org/og-banner.webp (baked at
webpage deploy time) to the org profile banner that wickra-lib/.github's
banner.yml regenerates from the indicator count on every sync
(raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp).
The ?v=227 query busts GitHub's Camo image cache; the next commit teaches
sync-about to bump it with the count.

* ci: bump README banner cache-buster alongside the indicator count

Extends the PR-head README counter patch to also rewrite wickra-banner.webp?v=N
to the current count. The banner now points at the org profile image, whose
content changes when .github/banner.yml regenerates it; bumping the ?v query
busts GitHub's Camo cache so the README shows the new banner immediately. Rides
in the existing count-sync commit, so no extra commit lands on main.

* docs: changelog entry for self-updating README banner and sync fix
2026-06-01 18:19:23 +02:00
kingchenc 5b23b36261 ci: pin CI dependency installs by hash (Scorecard PinnedDependencies) (#114)
* ci: use npm ci instead of npm install for reproducible installs

Pins the node binding dependency install to the committed package-lock.json
integrity hashes (OpenSSF Scorecard PinnedDependencies). npm ci installs
strictly from the lockfile; npm install could resolve newer patch versions.
Covers ci.yml and both release.yml node steps.

* ci: hash-pin Python dev tooling in ci.yml (Scorecard #19)

Replaces the unpinned 'pip install maturin pytest numpy hypothesis' with a
hash-locked '--require-hashes -r' install (OpenSSF Scorecard PinnedDependencies).

Two lock files are needed because numpy publishes no single release with wheels
for both cp39 and cp313 (<=2.0.2 has cp39 only, >=2.1 drops cp39):
  ci-dev-py39.txt  numpy 2.0.2  (Python 3.9, + tomli/exceptiongroup)
  ci-dev-py3.txt   numpy 2.4.6  (Python 3.10+)

The step selects the file by matrix.python-version under shell: bash. Both are
generated from ci-dev.in via uv (scripts/update-lockfiles.sh, added next).

* ci: hash-pin Python deps in bench.yml (Scorecard #16)

Replaces the unpinned 'pip install maturin numpy pandas talipp finta' with a
hash-locked '--require-hashes -r .github/requirements/bench.txt' install.
bench.yml runs on a single Python version (3.11), so one lock file (generated
from bench.in via uv) is sufficient.

* build: add scripts/update-lockfiles.sh to regenerate all lockfiles

One command refreshes every committed lockfile across languages: Cargo.lock and
fuzz/Cargo.lock (cargo update), the Node binding package-lock.json, and the
hash-pinned Python requirements under .github/requirements/ (uv pip compile
--generate-hashes). Uses uv for the Python locks so a target Python version's
hashed transitive closure can be resolved without that interpreter installed
(needed for the numpy cp39/cp313 split); bootstraps uv if absent.

.gitattributes pins *.sh to LF so the script stays runnable on Linux/macOS.

* ci: split ci-dev requirements per Python version + Dependabot rehash

Splits the single ci-dev.in into ci-dev-py39.in (numpy <2.1, the last series
with cp39 wheels) and ci-dev-py3.in (3.10+), giving a 1:1 .in->.txt layout.
The cap keeps Python 3.9 permanently installable and stops Dependabot from
proposing 3.9-breaking numpy bumps.

Adds a Dependabot pip entry on /.github/requirements so the hash-locked tooling
is kept current automatically; the canonical manual refresh stays
scripts/update-lockfiles.sh. Only the '# via -r' provenance lines in the .txt
change; no package versions or hashes move.

* ci: cache pip and npm downloads in the PR-loop jobs

Adds setup-python cache: pip (ci.yml python matrix + bench.yml, keyed on the
hash-locked requirements) and setup-node cache: npm (ci.yml node job, keyed on
bindings/node/package-lock.json), on both the primary and retry setup steps.

Scoped to jobs that actually install dependencies; the examples-smoke and
clippy-bindings jobs install nothing and are left uncached. release.yml is
intentionally left out: it runs only on tag push (not the PR loop) and is the
publish-critical path, so no caching is added there.

* docs: document hash-pinned requirements and update-lockfiles.sh

Updates the lockfile-policy table: the bindings/python row no longer claims CI
installs tooling unpinned, and a new .github/requirements row documents the
hash-locked CI/bench tooling and the per-Python-version ci-dev split. Adds a
paragraph pointing contributors at scripts/update-lockfiles.sh (uv-based,
self-bootstrapping) as the canonical lockfile refresh.

* docs: changelog entry for hash-pinned CI dependency installs
2026-06-01 17:58:31 +02:00
kingchenc 5867f71450 feat: trade-flow microstructure indicators (part 2 of 4) (#113)
* feat(core): add 3 trade-flow microstructure indicators

SignedVolume (per-trade size signed by aggressor), CumulativeVolumeDelta
(running signed-volume total), and TradeImbalance (rolling buy/sell volume
imbalance over a trade window). All consume the Trade type, with full unit
coverage. Extends the Microstructure family.

* feat(bindings): expose trade-flow microstructure indicators

Python, Node and WASM bindings for SignedVolume, CumulativeVolumeDelta and
TradeImbalance. Each takes a trade via update(price, size, is_buy); Python and
Node expose a batch over three parallel arrays, WASM exposes per-trade update.
Regenerates node index.d.ts/.js.

* test(bindings,fuzz,bench): cover trade-flow microstructure indicators

Python and Node: reference values, streaming-vs-batch, lifecycle/repr and input
validation (zero window, negative size, non-positive price, mismatched batch
lengths). New indicator_update_trade fuzz target. Synthetic trade-tape benches
(signed_volume cheapest, trade_imbalance windowed/expensive).

* docs: add trade-flow indicators + bump counter to 227

README Microstructure family row gains signed volume / CVD / trade imbalance and
the counter goes 224 -> 227; CHANGELOG records the trade-flow indicators.
2026-06-01 16:38:48 +02:00
kingchenc 2be21df803 feat: order-book microstructure indicators (part 1 of 4) (#112)
* feat(core): add microstructure input types (OrderBook, Trade, TradeQuote)

New non-OHLCV value types for the order-book / trade-flow indicator family:
Level, OrderBook (sorted, uncrossed depth snapshot), Side, Trade (with
aggressor side), and TradeQuote (trade paired with prevailing mid). Each has a
validating constructor plus a new_unchecked hot-path constructor, with full
unit coverage. Adds InvalidOrderBook / InvalidTrade error variants.

* feat(core): add 5 order-book microstructure indicators

OrderBookImbalanceTop1/TopN/Full (signed depth imbalance), Microprice
(size-weighted fair value), and QuotedSpread (top-of-book spread in bps). All
consume the OrderBook snapshot type, emit f64, are stateless and ready after
the first snapshot, with full unit coverage. Registers a new Microstructure
family in the taxonomy.

* feat(bindings): expose order-book microstructure indicators

Python, Node, and WASM bindings for OrderBookImbalanceTop1/TopN/Full,
Microprice and QuotedSpread. Each takes a depth snapshot via four equal-length
(bid_px, bid_sz, ask_px, ask_sz) arrays. Python and Node expose a batch over a
list of snapshots; WASM exposes per-snapshot update (the streaming model that
fits a browser book feed). Regenerates node index.d.ts/.js and registers the
new InvalidOrderBook/InvalidTrade arms in the Python error mapping.

* test(bindings,fuzz): cover order-book microstructure indicators

Python: smoke, reference values, streaming-vs-batch, lifecycle/repr and input
validation (mismatched lengths, crossed book, misordered levels, zero levels)
for all five order-book indicators. Node: reference values, streaming-vs-batch,
and rejection cases. Adds an indicator_update_orderbook fuzz target driving
every order-book indicator over arbitrary (incl. degenerate) snapshots.

* bench(microstructure): synthetic order-book benchmarks

Add a bench_orderbook_input harness and synthesise a five-level book around
each candle close (no order-book dataset ships with the repo). Benches the
cheapest (top-of-book imbalance) and most-expensive (full-depth imbalance) plus
microprice, matching the curated cheapest/expensive-per-family approach.

* docs: add Microstructure family + bump indicator counter to 224

README gains the Microstructure family row (order-book imbalance, microprice,
quoted spread) and the indicator counter goes 219 -> 224 across seventeen
families; CHANGELOG records the new order-book indicators and value types.
2026-06-01 16:06:22 +02:00
kingchenc 498b74a5ae chore(license): point package metadata at the modified license file
The LICENSE now carries an Additional Permissions section on top of
PolyForm Noncommercial 1.0.0, so the bare SPDX id no longer describes
it exactly. Update the package manifests to reference the actual file
instead of claiming the unmodified standard:

- Cargo (workspace + all crates): license -> license-file = "LICENSE"
- npm (main + 6 platform packages): LicenseRef-Wickra-Noncommercial-1.0.0
- PyPI: license text notes the additional personal-account permissions
2026-06-01 15:28:18 +02:00
kingchenc 921a250715 docs(license): grant personal-account trading use to match README
Append an Additional Permissions section to the PolyForm Noncommercial
License 1.0.0. The base PolyForm text is unmodified; the section only
broadens the grant. It explicitly permits a natural person to use the
software for their own personal account, including running a trading
bot on their own capital for profit, matching the README's plain-English
summary (hobby trading bots: all fine). Commercial sale of the software
or of services built around it still requires a commercial license.
2026-06-01 15:05:03 +02:00
kingchenc 0479191b66 feat: signed candlestick directional ±1 encoding (Doji signed mode) (#111)
* feat(core): add signed dragonfly/gravestone encoding to Doji

Doji gains an opt-in `.signed()` mode that classifies a detected Doji by the
position of its body within the bar range: dragonfly (long lower shadow) emits
+1.0 (bullish), gravestone (long upper shadow) emits -1.0 (bearish), and a
long-legged/standard Doji emits 0.0. The default detection-flag behaviour
(+1.0/0.0) is unchanged, so existing callers are unaffected.

The other 14 candlestick patterns already emit the uniform +1 bull / -1 bear /
0 none convention; document that explicitly with a "Signed +-1 encoding"
section on each so the whole family is a consistent drop-in ML feature.

* feat(bindings): expose Doji signed mode in python, node, wasm

Hand-write the Doji binding in all three language bindings (instead of the
shared candle-pattern macro) so it accepts an opt-in `signed` flag and exposes
an `is_signed`/`isSigned` accessor:

- Python: `Doji(signed=False)` keyword argument
- Node: `new Doji(signed?)` optional constructor argument (index.d.ts/.js
  regenerated via napi build)
- WASM: `new Doji(signed?)` optional constructor argument

The default construction is unchanged, so existing callers keep the
direction-less +1/0 detection flag.

* test(bindings,fuzz): cover Doji signed dragonfly/gravestone encoding

- python: dragonfly(+1)/gravestone(-1)/neutral(0) and default-flag cases in
  test_known_values
- node: equivalent signed/default assertions in indicators.test.js
- fuzz: drive a signed Doji alongside the default in indicator_update_candle

* docs: document signed candlestick convention and Doji signed mode

README gains a candlestick sign-convention note; CHANGELOG records the new
opt-in Doji signed dragonfly/gravestone encoding under [Unreleased].
2026-06-01 14:37:20 +02:00
kingchenc 4631519885 release: bump 0.4.0 -> 0.4.1 (#110)
Releases the cross-asset / pairwise indicator family (PR #109):
PairwiseBeta, PairSpreadZScore, LeadLagCrossCorrelation, Cointegration,
RelativeStrengthAB. Indicator count 214 -> 219.

Bumps workspace + binding versions and the CHANGELOG ([Unreleased] ->
[0.4.1]) with the new compare URL.
2026-06-01 13:58:50 +02:00
kingchenc 0b85142ad1 feat: cross-asset / pairwise indicators (5 new) (#109)
* feat(core): add PairwiseBeta cross-asset indicator

Rolling OLS slope of one asset's log-returns on another's. Unlike Beta,
which regresses the raw inputs it is fed, PairwiseBeta differences
consecutive prices into log-returns internally -- the conventional way to
measure cross-asset beta, where a beta on price levels would be dominated
by the shared trend.

Two-series Indicator<Input = (f64, f64)>, exposed in Rust, Python, Node
and WASM, with unit/known-value/streaming tests and a pair fuzz target.

* feat(core): add PairSpreadZScore cross-asset indicator

Standardised log-spread ln(a) - beta*ln(b) of a pair, where beta is a
rolling-OLS hedge ratio and the spread is z-scored over its own look-back.
The canonical mean-reversion / statistical-arbitrage entry signal, with
independent beta_period and z_period windows.

Two-series Indicator<Input = (f64, f64)>, exposed in Rust, Python, Node
and WASM, with sign/known-value/streaming tests and a pair fuzz target.

* feat(core): add LeadLagCrossCorrelation cross-asset indicator

Reports the integer offset k in [-max_lag, max_lag] that maximises
|corr(a[t], b[t+k])|, answering which of two assets leads the other and by
how many bars. A positive lag means a leads b. Fully causal: a's window is
held centred while b's window slides across the buffered history, so every
lag is evaluated only against data already seen.

Struct output { lag, correlation }, exposed in Rust, Python, Node and WASM
with lead-detection/streaming tests and a pair fuzz driver.

* feat(core): add Cointegration (Engle-Granger + ADF) indicator

Rolling pairs-trading screen: an OLS hedge ratio of a on b, the spread
(residual) a - (alpha + beta*b), and an augmented Dickey-Fuller t-statistic
on the spread with configurable lags. A strongly negative statistic flags a
mean-reverting, tradeable spread. Includes a small Gaussian-elimination
solver for the augmented regression.

Struct output { hedge_ratio, spread, adf_stat }, exposed in Rust, Python,
Node and WASM with stationarity/hedge-ratio/streaming tests and a pair fuzz
driver.

* feat(core): add RelativeStrengthAB cross-asset indicator

Comparative relative strength of two assets: the ratio line a/b together
with its moving average and its RSI, the classic asset-vs-asset /
asset-vs-index rotation screen. Composes the existing Sma and Rsi over the
ratio; a zero denominator or non-finite price is skipped.

Struct output { ratio, ratio_ma, ratio_rsi }, exposed in Rust, Python, Node
and WASM with flat/rising-ratio/streaming tests and a pair fuzz driver.

* test(cointegration): cover ADF guard branches

The ADF helper's short-series and degrees-of-freedom guards and the
zero-dispersion (perfect AR) path are unreachable through the public
Cointegration API (period >= 2*adf_lags + 4), so exercise them with direct
unit tests on adf_no_constant. The second linear solve cannot be singular
once the coefficient solve on the same matrix has succeeded, so it now uses
expect() instead of a dead error branch.
2026-06-01 13:45:21 +02:00
kingchenc 1ab9bc70d1 ci(release): make the release immutability-ready (draft then publish) (#108)
GitHub release immutability locks a release's assets at publish time. The
current flow publishes the release in github-release and only afterwards uploads
the Sigstore provenance bundle (P21.1e) via 'gh release upload', which
immutability would reject (actions/attest-build-provenance#734).

Reorder to draft -> attach everything -> publish:
- github-release now creates the release as a draft (draft: true) with all build
  artefacts.
- attestations attaches the provenance bundle to the draft (gh release upload
  works on drafts), unchanged otherwise.
- a new publish-release job flips the draft to published + latest, gated on
  'always() && needs.github-release.result == success' so a Sigstore hiccup in
  attestations costs only the provenance asset, never the release — the same
  isolation as before. A skipped github-release (failed publish) skips this too.

Correct with immutability off (today: release ends published with every asset)
and on (later, user toggle: all assets present before the lock). No behaviour
removed; nothing deleted.
2026-06-01 12:06:20 +02:00
kingchenc 2ab578bee8 docs: surface docs.wickra.org + keep the wiki pointer count in sync (#107)
* docs(readme): surface the documentation site (docs.wickra.org)

The README never linked the canonical docs at docs.wickra.org — visitors had
no path from the repo to the per-indicator deep dives, quickstarts, and
guides. Add a docs badge, a Documentation section mirroring the binding
READMEs and docs/README.md, and an Indicators-Overview link in the indicator
section.

* ci(sync-about): keep the wiki pointer page's indicator count in sync

The GitHub wiki was collapsed to a single Home.md that points at
docs.wickra.org but still names the indicator count ('… for all N indicators').
Add a count-sync step mirroring the docs/webpage steps — clone wickra.wiki into
its own dir, sed Home.md, commit as wickra-bot, push — with the same
continue-on-error soft-skip so a missing PAT scope never fails the run.
2026-06-01 04:10:00 +02:00
kingchenc 2be39b8b98 ci(release): attach Sigstore provenance bundle as a release asset (P21.1e) (#106)
OpenSSF Scorecard's Signed-Releases check scans the GitHub Release *assets* for
signed/provenance files (`*.intoto.jsonl`, `*.sig`, ...). It does not look at
GitHub's separate attestations store, so although the attestations job has signed
the published bytes since v0.4.0, the v0.4.0 release assets carried no provenance
file and the check stayed at 0.

Attach the Sigstore provenance bundle (already produced by
actions/attest-build-provenance) to the release as `wickra-<tag>.provenance.intoto.jsonl`:

- github-release now exposes its resolved tag as a job output.
- attestations `needs: github-release` (so the Release already exists), gains
  `contents: write`, gives the attest step an id, and uploads the bundle with
  `gh release upload --clobber` (idempotent on re-runs).

Publishes stay fully isolated — cargo/PyPI/npm all run upstream of github-release,
so a Sigstore hiccup here can never block or corrupt a publish; at worst the
release just lacks the provenance asset. Signed-Releases climbs over the next
releases as each tag carries the bundle.
2026-06-01 04:09:09 +02:00
kingchenc 99af5f8ee1 ci: retry transient registry/DNS flakes at the cargo/npm/pip tool level (#105)
The v0.4.0-era CI failure was a runner network blip — `napi build` invokes cargo,
whose fetch of index.crates.io hit "Could not resolve host: index.crates.io" and
failed the Node-on-macOS job, forcing a manual re-run. The earlier flake-hardening
(setup-node/setup-python + rust-cache retries) only covered toolchain download and
cache restore, not the registry fetches inside the actual build/publish steps.

Set tool-level network retries as workflow env so every cargo/napi/maturin/
wasm-pack/npm/pip invocation in every job inherits them — including the nested
cargo calls inside napi/maturin/wasm-pack:

- CARGO_NET_RETRY=10 (default 3): cargo classes DNS-resolve / connect / timeout
  errors as spurious and retries with backoff; 10 attempts ride out a transient
  blip instead of failing the job.
- CARGO_NET_GIT_FETCH_WITH_CLI=true: more robust git-dep fetches.
- npm_config_fetch_retries=5 / maxtimeout=120s: npm ci/install registry retries.
- PIP_RETRIES=5 / PIP_DEFAULT_TIMEOUT=120: pip install resilience.

Applied to ci.yml, release.yml and bench.yml (the workflows that build). No more
manual re-runs for transient registry flakes.
2026-06-01 04:08:18 +02:00
kingchenc bff1148d20 ci(sync-about): fix docs version-sync clone collision + webpage npm race (#104)
* ci(sync-about): fix docs version-sync clone collision + webpage npm race

Two real release-time bugs surfaced by the v0.4.0 release, where the docs
"Published versions" table never updated and the marketing-site Cloudflare
build failed:

1. docs version sync never ran. The "Sync docs version (wickra-docs)" step
   cloned into a directory literally named `docs`, but on a tag push the job
   checks out the wickra repo at the workspace root, which already contains a
   top-level `docs/` directory. `git clone … docs` therefore failed with
   "destination path 'docs' already exists", silenced by `2>/dev/null` and
   misreported as a missing-token warning, so the docs version table stayed at
   the previous release. Clone into `docs-ver` instead (mirrors the `docs-count`
   dir the count step already uses); it collides with nothing in the repo.

2. webpage build broke on a version race. The "Sync webpage version" step bumps
   package.json's `wickra-wasm` pin to the released version and pushes
   immediately, but release.yml publishes wickra-wasm to npm in parallel on the
   same tag and finishes minutes later. Cloudflare's `npm clean-install` then
   hit `ETARGET: No matching version found for wickra-wasm@^0.4.0`. Poll npm for
   wickra-wasm@<version> (up to ~15 min) before committing; if it never appears
   the step skips with a warning rather than pushing a build-breaking commit.

Both steps were designed to mirror each other across docs/webpage; these fixes
restore that symmetry so every release self-heals both sites.

* ci(sync-about): regenerate webpage package-lock on version bump

Third v0.4.0 release-sync defect: the webpage version step seds package.json's
wickra-wasm pin but never touched package-lock.json, so even after wickra-wasm
went live on npm the Cloudflare build still failed with
`npm ci` EUSAGE: "lock file's wickra-wasm@0.3.1 does not satisfy
wickra-wasm@0.4.0".

After the package.json sed, run `npm install --package-lock-only` so the lockfile
(version + resolved + integrity) matches the new pin; commit package-lock.json
alongside package.json. The earlier npm-wait already guarantees the version is
resolvable. Guarded: if the regen fails the step skips the whole commit rather
than push a package.json/lock mismatch.

The live site was unblocked out-of-band by a matching lockfile commit on the
webpage repo; this makes it self-heal on every future release.
2026-06-01 02:02:19 +02:00
kingchenc ebddc5e376 ci: set least-privilege top-level token permissions (P21.1b) (#103)
The auto-injected GITHUB_TOKEN defaulted to write-all in ci.yml, bench.yml
and release.yml (no top-level permissions block), and codeql.yml declared
its scopes only at job level. Add a top-level `permissions: contents: read`
to all four so the token starts read-only and only the jobs that genuinely
write through it raise the scope:

- release.yml: github-release keeps contents: write; node-/wasm-publish and
  attestations keep their id-token / attestations: write blocks. The
  cargo/python/node publish jobs push to crates.io/PyPI/npm via their own
  registry secrets, not the GITHUB_TOKEN, so read-only is correct for them.
- codeql.yml: analyze keeps security-events: write (job level).
- ci.yml / bench.yml: no job writes back to the repo (coverage uploads via
  CODECOV_TOKEN; bench only uploads an artifact), so no job override is needed.

sync-about.yml already had a top-level block but at contents: write; demote
the top level to read and move contents: write down to the single `sync` job
(the PR-head counter push is the only GITHUB_TOKEN write). The cross-repo
About/docs/webpage/org writes are unaffected — they run through the
fine-grained ABOUT_SYNC_TOKEN, which the permissions key does not govern.

Raises OpenSSF Scorecard Token-Permissions from 0 toward 10.
2026-06-01 02:01:31 +02:00
kingchenc eab2649f1c release: bump 0.3.1 -> 0.4.0 (#89)
Minor release. The headline user-facing change is the Node binding now
rejecting invalid indicator periods instead of silently clamping period 0
to 1 (matches Python/WASM/core); plus per-ecosystem binding READMEs and a
corrected MSRV statement in CONTRIBUTING. See CHANGELOG [0.4.0].

- Cargo.toml (workspace.package + wickra-core dep) + Cargo.lock (6 members)
- bindings/python/pyproject.toml
- bindings/node/package.json (version + 6 optionalDependencies) + package-lock.json
- bindings/node/npm/*/package.json (6 platform subpackages)
- examples/node/package-lock.json (wickra-* platform pins)
- CHANGELOG: [Unreleased] -> [0.4.0] - 2026-05-31 + compare URL

No tag pushed (release publish is a separate, user-confirmed step).
2026-06-01 01:28:53 +02:00
kingchenc f7f947e048 docs(changelog): record provenance attestations + CI security tooling (Unreleased) (#102) 2026-06-01 01:08:14 +02:00
kingchenc 01dd08714b ci: harden workflows against network/CDN flakes (resilient cache + setup retries) (#101) 2026-06-01 01:07:56 +02:00
kingchenc 0fa70c9882 ci: pin remaining GitHub Actions to commit SHAs (P21.1c) (#100) 2026-06-01 01:07:34 +02:00
kingchenc debe4523d5 ci: pass untrusted workflow contexts via env to prevent shell injection (P21.1a) (#99) 2026-06-01 00:32:24 +02:00
kingchenc a046c441e5 docs(readme): show the Wickra banner; drop the redundant heading (#98)
Embed the brand banner at the top of the README (linked to wickra.org) and
drop the now-redundant "# Wickra" heading — the banner shows the wordmark.

The image is served from https://wickra.org/og-banner.webp, which the webpage
build regenerates on every deploy from the current indicator count (4K WebP),
so the README banner stays current with no committed binary in this repo and
renders on GitHub, crates.io and docs.rs alike.
2026-06-01 00:07:36 +02:00
kingchenc f7b91f6fa5 chore: use support@wickra.org for contact/author email; drop dead sponsor link (#97)
Now that the wickra.org catch-all mailbox exists, move the project contact +
package-author email off the personal gmail to support@wickra.org across all
surfaces: CODE_OF_CONDUCT, SECURITY, CITATION.cff, Cargo.toml, the npm + PyPI
author fields, the release.yml npm author, and repo-metadata.toml. (The
package-author changes take effect on the next published release.)

repo-metadata.toml's [audit].forbidden still pins kingchencp@gmail.com (the
private commit email) as a banned substring — unchanged.

Also remove the FUNDING.yml custom "https://wickra.org/sponsor" entry: that
page 404s, so the Sponsor button linked to a dead URL. The GitHub Sponsors
entry (github: [kingchenc]) stays.
2026-05-31 23:22:57 +02:00
kingchenc 5030360a0c ci: CodeQL SAST workflow + badge (P13.6) (#96)
* ci: add OpenSSF Scorecard workflow + badge (P13.1)

* ci(release): attest build provenance for crates + Python artifacts (P13.2)

* docs(readme): add GitHub release badge (P13.4)

* ci: add CodeQL SAST workflow + badge (P13.6)
2026-05-31 22:34:00 +02:00
kingchenc 1dd487fabc docs(readme): GitHub release badge (P13.4) (#94)
* ci: add OpenSSF Scorecard workflow + badge (P13.1)

* ci(release): attest build provenance for crates + Python artifacts (P13.2)

* docs(readme): add GitHub release badge (P13.4)
2026-05-31 22:21:05 +02:00
kingchenc cee174c0de ci(release): build-provenance attestations for crates + Python (P13.2) (#91)
* ci: add OpenSSF Scorecard workflow + badge (P13.1)

* ci(release): attest build provenance for crates + Python artifacts (P13.2)
2026-05-31 22:13:06 +02:00
kingchenc c8e5d8a658 ci: add OpenSSF Scorecard workflow + badge (P13.1) (#90) 2026-05-31 22:05:00 +02:00
kingchenc dc2e19e762 ci(sync-about): self-update the marketing site count + version (P12.1) (#95)
* ci(sync-about): auto-sync the published version to wickra-docs on release

* ci(sync-about): retarget indicator-count sync from wiki to wickra-docs + point About homepage at docs.wickra.org (P8.3)

* ci(sync-about): self-update the marketing site (webpage) count + version (P12.1)
2026-05-31 22:04:32 +02:00
kingchenc d8212beff6 ci(sync-about): retarget count sync to wickra-docs + point About at docs.wickra.org (P8.3) (#88)
* ci(sync-about): auto-sync the published version to wickra-docs on release

* ci(sync-about): retarget indicator-count sync from wiki to wickra-docs + point About homepage at docs.wickra.org (P8.3)
2026-05-31 21:57:42 +02:00
kingchenc 86a595d505 ci(sync-about): auto-sync the published version to wickra-docs on release (#87) 2026-05-31 21:48:53 +02:00
kingchenc 9309bf9d60 docs(P6.4): repoint all doc links from the GitHub wiki to docs.wickra.org (#86)
The documentation now lives in the wickra-lib/wickra-docs VitePress repo and
will deploy to docs.wickra.org. Rewrite every tracked, user-facing wiki link
in the main repo to the new canonical site:

- docs/README.md, CONTRIBUTING.md, PULL_REQUEST_TEMPLATE.md
- bindings/{node,python,wasm}/README.md, examples/wasm/README.md
- repo-metadata.toml: wiki_url/wiki_git -> docs_url/docs_git

Page paths map 1:1 to VitePress clean URLs (e.g. /wiki/Quickstart-Rust.md ->
docs.wickra.org/Quickstart-Rust). The sync-about.yml wiki-sync step is left
untouched on purpose: it stays until the docs site is live (tracked as P8.3).
The GitHub wiki itself is not deleted yet for the same reason.
2026-05-31 21:48:24 +02:00
kingchenc 3f05342f72 docs(P7): per-ecosystem binding READMEs + correct MSRV documentation (#85)
* docs(contributing): correct MSRV to 1.86/1.88 and document the dep-forced floor (P7.1)

* docs(bindings): trim binding READMEs to per-ecosystem install + links (P7.2)

* docs(changelog): note per-ecosystem binding READMEs + MSRV doc fix (P7.1/P7.2)
2026-05-31 05:30:34 +02:00
kingchenc eb4454ab27 P5: track index.d.ts + reject invalid periods in the Node binding (#83)
* build(node): track the generated index.d.ts (P5.1)

index.js was committed but index.d.ts was gitignored, an inconsistency that
also contradicts CONTRIBUTING ('regenerate both .d.ts/.js when a binding API
changes'). Track index.d.ts too so the repo carries the TypeScript types as a
matched pair with index.js. Generated by napi build; ~214 indicator classes.

* fix(node): reject invalid periods instead of clamping them (P5.4)

The Node scalar-indicator macro clamped period 0 to 1 (via clamp_period + must)
and the multi-parameter constructors did the same, silently swallowing the
core's PeriodZero validation. The core rejects period 0 (Error::PeriodZero),
and the Python and WASM bindings already propagate it — Node was the outlier,
masking caller mistakes. Make the macro constructor fallible and let every
constructor propagate the core error via map_err, removing clamp_period/must.
Update the smoke test (period 0 now throws, matching core/Python/WASM).

* docs(changelog): note the Node period-validation change (P5.4)

Behavior change per CONTRIBUTING: Node constructors now reject invalid periods
instead of clamping. Add an [Unreleased] Changed entry.

* chore: drop accidentally committed scratch log
2026-05-31 05:22:56 +02:00
kingchenc 3093f194a2 docs: document the repo-wide lockfile policy (P4) (#82)
The .gitignore comment claimed package-lock.json is committed only under
bindings/node/, but examples/node/package-lock.json has also been tracked
since #80. Correct the comment and add a CONTRIBUTING 'Lockfile policy'
section spelling out every component: Cargo.lock + the two Node package-locks
are tracked; fuzz/Cargo.lock is ignored (cargo-fuzz default); the Python
package has no lockfile by PyO3 convention (pinned via Cargo.lock); the
ghost-ignored site keeps its lockfile local.
2026-05-31 05:11:08 +02:00
kingchenc 21c86f348f examples + bindings: Node/WASM strategy parity + test/benchmark parity (P2 + P3) (#81)
* examples(node): add RSI mean-reversion strategy

Node counterpart of strategy_rsi_mean_reversion.{py,rs}: RSI(14) < 30 long,
> 70 exit, 0.1% fees, hourly BTCUSDT. Output verified byte-identical to the
Rust reference (37 trades W24/L13, -17.84% return, 46.89% max drawdown).

* examples(node): add MACD + ADX trend-filter strategy

Node counterpart of strategy_macd_adx.{py,rs}: MACD(12,26,9) histogram
crossover entries gated by ADX(14) > 20, hourly BTCUSDT, 0.1% fees. Output
verified byte-identical to the Rust reference (246 trades W90/L156, -47.19%
return, 53.75% max drawdown).

* examples(node): add Bollinger-squeeze breakout strategy

Node counterpart of strategy_bollinger_squeeze.{py,rs}: enter on a fresh
180-bar Bollinger-bandwidth low + close above the upper band, exit on a
2*ATR(14) stop or upper-band collapse, daily BTCUSDT, 0.1% fees. Output
verified byte-identical to the Rust reference (1 trade, -7.82% return,
13.01% max drawdown).

* examples(wasm): add RSI mean-reversion strategy demo

Browser counterpart of strategy_rsi_mean_reversion.{py,js,rs}: RSI(14) < 30
long, > 70 exit, 0.1% fees, summary table. Same signal/fill/PnL/equity loop as
the runtime-verified Node example; loads via the established wickra_wasm.js
init + fetch-CSV pattern. (wasm32 build runs in CI.)

* examples(wasm): add MACD + ADX trend-filter strategy demo

Browser counterpart of strategy_macd_adx.{py,js,rs}: MACD(12,26,9) histogram
crossover gated by ADX(14) > 20, hourly BTCUSDT, 0.1% fees. Logic identical to
the runtime-verified Node example; standard wickra_wasm.js init + fetch-CSV
loader. (wasm32 build runs in CI.)

* examples(wasm): add Bollinger-squeeze breakout strategy demo

Browser counterpart of strategy_bollinger_squeeze.{py,js,rs}: fresh 180-bar
Bollinger-bandwidth low + upper-band breakout, 2*ATR(14) stop, daily BTCUSDT,
0.1% fees. Logic identical to the runtime-verified Node example; standard
wickra_wasm.js init + fetch-CSV loader. (wasm32 build runs in CI.)

* ci: add examples syntax-smoke job (P2.3)

The Rust examples are built by 'cargo build -p wickra-examples --bins'; the
Node, browser-WASM and Python examples had no build gate. New job parse-checks
every examples/{node,wasm}/*.js, extracts and node --checks each WASM .html
module script, and python -m py_compile's every examples/python/*.py — so a
broken example edit fails CI instead of landing silently.

* docs(examples): list the new Node + WASM strategy examples

Add the three Node strategy scripts and three WASM strategy demos to the
examples README tables, bringing Node and WASM to parity with the existing
Rust and Python strategy rows.

* chore(examples): refresh examples/node lockfile for the linked wickra binding

npm install rewrote the file: dependency snapshot of the local wickra binding
that the examples link against (version 0.1.4 -> 0.3.1, license + engines
fields), which had gone stale in the committed lockfile.

* test(node): add input-validation suite

Node counterpart of bindings/python/tests/test_input_validation.py: invalid
constructor parameters (ATR zero period, MACD non-increasing fast/slow,
BollingerBands negative multiplier, PSAR step > max, ValueArea period/pct,
InitialBalance/OpeningRange zero period, Ichimoku non-increasing periods,
Ehlers-family ordering) and unequal-length candle/ValueArea batch inputs all
throw a JS Error. Validated against the built binding.

* test(node): add indicator completeness contract

Introspects every exported indicator class and asserts the full interface
(update / batch / reset / isReady / warmupPeriod) plus the pre-warmup contract
for zero-arg indicators, and guards that the full catalogue (>= 200 classes)
is exported. Catches a new indicator wired without the standard methods, or a
stale/partial native build dropping exports, with no per-indicator boilerplate.

* test(wasm): broaden scalar streaming-vs-batch coverage

Extend the inline wasm-bindgen-test suite with a streaming==batch check across
~70 scalar indicators spanning moving averages, momentum, volatility,
statistics/regression, Ehlers/cycle and risk/performance families (previously
only EMA + the candle-input group were covered per-indicator), plus four more
invalid-constructor assertions. Constructor args mirror the CI-passing Node
factories. Host-compiles (cargo test -p wickra-wasm --no-run); executed in CI
via wasm-pack test --node.

* bench(node): add indicator throughput benchmark

Node counterpart of the Rust criterion benches / Python compare_libraries:
measures streaming (per-tick update) and batch throughput in Mupd/s across a
representative indicator set over a synthetic OHLCV series (--bars, default
200k). Dependency-free; wired as 'npm run bench'.

* docs(wasm): list strategy demos + document the benchmark story

Add the three new strategy demos to the WASM examples table and a Performance
section: parallel_assets.html is the in-browser benchmark, with raw throughput
covered by the Rust criterion / Python / Node benchmarks (the WASM engine is the
same core compiled to wasm32).
2026-05-31 05:09:26 +02:00
kingchenc a2ff35f5f9 ci(sync-about): auto-sync repo homepage + org profile from the indicator count (#84)
Extend the count-sync workflow to drive three more surfaces from the same
single count, so the org page never drifts again:

- Repo About **homepage** URL — enforced unconditionally via
  `gh repo edit --homepage` in the existing About step (fixes the stale
  kingchenc URL and self-heals). Uses the same Administration-write
  permission as --description, so NO extra token scope.
- Org **profile README** count (wickra-lib/.github, profile/README.md) —
  clone + sed + bot commit/push, same pattern as the Sync Wiki step.
- Org **description** field ('… N indicators, install-free.') — gh api PATCH.

The two org steps need ABOUT_SYNC_TOKEN scope the main-repo syncs do not
(write on wickra-lib/.github; admin:org for the description PATCH). Both are
written to soft-skip with a ::warning:: and continue-on-error, so the run
stays green until the scope is granted — then they sync with no further
change. Homepage swap-point to a docs domain is a one-line change.

Refs findings P9 / P10.
2026-05-31 03:02:32 +02:00
kingchenc 01aeb965d1 release: bump 0.3.0 -> 0.3.1 (#80)
* chore: remove ROADMAP.md from the public repo

ROADMAP is kept as a local-only draft (ghost-ignored via
.git/info/exclude); it is not part of the published package surface.

* release: bump 0.3.0 -> 0.3.1

CI-only patch: fixes the release.yml CycloneDX SBOM step (cargo-cyclonedx
has no -p flag, see #79) that skipped the GitHub Release attach-assets job
on 0.3.0. No library changes — republishes the same code with a working
release pipeline.

- Cargo.toml (workspace.package + wickra-core dep) + Cargo.lock
- bindings/python/pyproject.toml
- bindings/node/package.json (version + 6 optionalDependencies) + package-lock.json
- bindings/node/npm/*/package.json (6 platform subpackages)
- CHANGELOG: finalize [0.3.0] (was still under [Unreleased]), add [0.3.1]

* chore: track examples/node/package-lock.json

Since the global package-lock ignore rule was dropped (#68) this file was
left untracked. Commit it for reproducible example installs, consistent
with bindings/node (findings P4.1).
2026-05-30 19:50:45 +02:00
kingchenc f1fed6cdd5 ci(release): fix CycloneDX SBOM generation (cargo-cyclonedx has no -p flag) (#79)
cargo-cyclonedx 0.5.9 walks the whole workspace in a single pass and
writes a <package>.cdx.json next to each member's Cargo.toml; it has no
-p/--package selector. The previous three 'cargo cyclonedx ... -p <crate>'
invocations aborted with 'error: unexpected argument -p found', failing
the cargo-publish job after the crates were already published and, in
turn, skipping the github-release attach-assets job (it needs all four
publish jobs). v0.3.0 published to every registry but got no GitHub
Release page or SBOM assets as a result.

Replace the three invalid calls with a single workspace pass and copy
the three crates.io crate SBOMs into the upload dir.
2026-05-30 19:26:30 +02:00
kingchenc 70e9cbb397 release: bump 0.2.7 -> 0.3.0 (supersedes PR #61) (#69)
Minor bump (not patch) because the [Unreleased] section since 0.2.7 has
accumulated a sweep of additive changes that justify a new minor:

- Family 9-16 indicator catalogue expansion (Bands & Channels, Trailing
  Stops, Volume, Statistics, Ehlers/Cycle DSP, Pivots, DeMark, Ichimoku,
  Candlestick Patterns, Market Profile, Risk/Performance) — roughly
  100+ new indicators since 0.2.7 across all four bindings.
- New `wickra_core::FAMILIES` const + family-taxonomy guard tests.
- GitHub org migration (kingchenc -> wickra-lib) and new maintainer
  email (wickra.lib@gmail.com).
- New `repo-metadata.toml` + `sync-metadata.yml` audit workflow.
- WASM CI tests now run on every PR (existing tests had been
  manually-only).
- CycloneDX SBOMs + npm provenance attestations attached to releases.
- Three end-to-end strategy examples.
- Governance polish: ARCHITECTURE / ROADMAP / CITATION / FUNDING /
  .editorconfig.
- Curated benchmark suite (~33 representative indicators).
- Three cold-path coverage fixes (mama, rsi, sine_wave).
- bindings/node/package-lock.json now committed.

Workspace + bindings (Rust crate, Python wheel, Node main + 6 platform
sub-packages, WASM) all step to 0.3.0. CHANGELOG opens the [0.3.0]
section dated 2026-05-28 with the full Changed / Added inventory.
Compare-URL block adds the v0.2.7...v0.3.0 line under [Unreleased] and
points [Unreleased] at v0.3.0...HEAD using the new wickra-lib org.

**Supersedes PR #61** (0.2.7 -> 0.2.8 patch bump). Close #61 when this
one merges. Merge ordering remains: #59 (org migration) + #60
(family-api) + the polish PRs first, rebase this PR on top of the new
main, then merge.

Tag-push `v0.3.0` is a SEPARATE, manual step after merge — it triggers
release.yml's irreversible publish to crates.io / PyPI / npm.
2026-05-30 19:06:48 +02:00
dependabot[bot] 37e5e19b57 deps(actions): bump taiki-e/install-action from 2.79.5 to 2.79.15 (#76)
Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.79.5 to 2.79.15.
- [Release notes](https://github.com/taiki-e/install-action/releases)
- [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/taiki-e/install-action/compare/6c1f7cf125e42770ff087ea443901b487cc5471a...0fd46367812ee04360509b4169d9f659d6892bb2)

---
updated-dependencies:
- dependency-name: taiki-e/install-action
  dependency-version: 2.79.15
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-30 18:54:31 +02:00
dependabot[bot] c189075491 deps(actions): bump EmbarkStudios/cargo-deny-action (#74)
Bumps [EmbarkStudios/cargo-deny-action](https://github.com/embarkstudios/cargo-deny-action) from 2.0.19 to 2.0.20.
- [Release notes](https://github.com/embarkstudios/cargo-deny-action/releases)
- [Commits](https://github.com/embarkstudios/cargo-deny-action/compare/a531616d8ce3b9177443e48a1159bc945a099823...bb137d7af7e4fb67e5f82a49c4fce4fad40782fe)

---
updated-dependencies:
- dependency-name: EmbarkStudios/cargo-deny-action
  dependency-version: 2.0.20
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-30 18:52:23 +02:00
dependabot[bot] 74dd82a867 deps(actions): bump actions/checkout from 4 to 6 (#75)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Commits](https://github.com/actions/checkout/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-30 18:52:15 +02:00
kingchenc b654db312e docs: fix unresolved and private intra-doc links (#78)
A full `cargo doc --workspace` (and docs.rs, which builds with
`-D rustdoc::all`) emitted five broken intra-doc links. docs.rs treats
these as hard errors, so any 0.2.x doc build was at risk of aborting.

- mama.rs: `[`Fama`]` -> `[`crate::Fama`]` (Fama lives in another module)
- standard_error.rs: `[`crate::Bollinger`]` -> `[`crate::BollingerBands`]`
  (the public type is `BollingerBands`, not `Bollinger`)
- aggregator.rs: drop the link to the private `OpenBar::into_candle`,
  keep it as plain code text
- resample.rs: drop the link to the private `RolledBar::into_candle`
- csv.rs: `CandleReader::with_timestamp_parser` never existed; reword to
  state plainly that ISO/RFC timestamps must be converted to integers

Verified with `RUSTDOCFLAGS="-D rustdoc::broken_intra_doc_links \
-D rustdoc::private_intra_doc_links" cargo doc --workspace --no-deps`:
clean, zero warnings.
2026-05-30 18:46:49 +02:00
kingchenc 88f119109d chore(node): commit bindings/node/package-lock.json for reproducible installs (#68)
Until now `package-lock.json` was globally ignored. Two practical
consequences for the Node binding:

- A fresh `git clone && cd bindings/node && npm install` resolved
  `@napi-rs/cli` and any transitive deps to whatever the npm registry
  currently considered the latest matching the package.json semver
  ranges. Contributors could get different dep graphs on different days.
- No protection against transitive-dep tampering at install time
  (lockfile records resolved versions + integrity hashes, npm verifies
  on subsequent installs).

Drop the global `package-lock.json` ignore and commit the freshly
generated `bindings/node/package-lock.json` (140 lines, only a couple
of direct deps because the binding is small). The `.gitignore` comment
notes that we still don't expect lockfiles at the workspace root.

No CI workflow changes — the existing `npm install` in the Node-test job
will now consume the committed lockfile, which is exactly what we want.
2026-05-30 18:24:46 +02:00
kingchenc 2945b47e1a feat(release): add CycloneDX SBOMs and npm provenance attestations (#66)
Two modern supply-chain-trust additions to the release pipeline,
neither of which changes what gets published — only adds verifiable
signals attached to existing releases.

1. **CycloneDX SBOMs.** `cargo-cyclonedx` is installed in the
   cargo-publish job after the .crate files are built, and runs once
   per published crate (`wickra-core`, `wickra-data`, `wickra`). The
   resulting `*.cdx.json` files are uploaded as the `sboms` artifact,
   then attached to the GitHub Release alongside the existing wheels,
   tarballs, .node binaries and .crate files. Future security advisories
   can answer "is my version of crate X transitive in wickra Y.Z?" by
   reading the SBOM directly instead of resolving the lockfile.

2. **npm `--provenance` flag** on every npm publish call:
   - main `wickra` package (node-publish, first + retry)
   - per-platform `wickra-<triple>` subpackages (node-publish loop)
   - `wickra-wasm` (wasm-publish)

   Provenance attestations are generated server-side by npm from the
   GitHub Actions OIDC token. The publishing jobs gain
   `permissions: id-token: write` so the runner can exchange that
   token. The npm page for each published version will then carry the
   "Verified provenance" badge, which proves the tarball was built by
   *this* workflow run and not by an arbitrary local laptop with the
   NPM_TOKEN.

Skipped deliberately (to keep this PR focused, possibly follow-ups):
- Sigstore cosign signing of artefacts (different audit story; can be
  layered on after npm-provenance lands).
- SLSA build-provenance attestations via `actions/attest-build-provenance`
  (would target every artefact uniformly; the npm-provenance flag is
  the more pragmatic first cut).

YAML structure validated (8 jobs intact). No production code touched.
This PR conflicts with PR #59 only in line-by-line URL substitutions
on release.yml — rebase after #59 should be clean.
2026-05-30 18:23:47 +02:00
kingchenc c212f91256 docs(examples): add 3 end-to-end strategy examples (Rust + Python) (#65)
Wires real indicators into complete signal -> fill -> PnL -> equity
loops over the checked-in BTCUSDT datasets, with per-trade Sharpe and
max-drawdown reported on stdout. Closes the gap where existing
examples showed only the mechanics of calling `update`/`batch` but not
how Wickra plugs into a trading-system shape.

Three strategies, each in Rust + Python (six files total):

- strategy_rsi_mean_reversion — RSI(14) thresholds (30/70) on 1h
  BTCUSDT. Binary position, 0.1% per-trade fee.
- strategy_macd_adx — MACD crossover entries gated by ADX(14) > 20 on
  1h BTCUSDT. Trend-follower demo of multi-indicator gating.
- strategy_bollinger_squeeze — Bollinger-bandwidth 180-day-low squeeze
  + upper-band breakout entry, ATR(14) * 2 stop. On 1d BTCUSDT for
  interpretable lookback.

Each file is self-contained — print_summary is inlined per script so
the example stays a single-file read. Every script prints a
NOT-financial-advice notice next to its results.

examples/README.md updated to list the new bins/scripts.
2026-05-30 18:23:03 +02:00
kingchenc 6c2ddf319f feat(wasm): wire wasm-bindgen-test into CI and expand coverage (#64)
* feat(wasm): wire wasm-bindgen-test into CI and expand binding coverage

The WASM binding already had 8 wasm_bindgen_test cases checked in but
they ran only when someone manually invoked `wasm-pack test` locally —
CI never executed them, so a breakage between the Rust core API and the
JS surface would only surface in user reports.

Two changes:

1. **New CI job `wasm-test`** in `.github/workflows/ci.yml` runs
   `wasm-pack test --node bindings/wasm` on every push and pull-request.
   Uses Node-runtime mode (no headless browser needed), pins
   `taiki-e/install-action` for `wasm-pack`, installs the
   `wasm32-unknown-unknown` target.

2. **10 new `#[wasm_bindgen_test]` cases** in `bindings/wasm/src/lib.rs`
   covering families that the existing 8 tests did not touch:
   - Family 4 — Macd multi-output batch shape (3-component packing)
   - Family 5 — Bollinger {upper, middle, lower} ordering invariant
   - Family 10 — FisherTransform streaming roundtrip (recursive DSP)
   - Family 16 — SharpeRatio reset semantics, MaxDrawdown monotone-
     uptrend invariant, ValueAtRisk constructor validation
   - Cross-family — reset returns indicator to warmup (3 shapes),
     warmup_period parity with wickra-core, NaN input rejection
     does not advance warmup counter

No production code changed; additive tests only. Total wasm test count
goes from 8 to 18.

* fix(wasm-tests): WasmAtr's hand-coded wrapper has no is_ready accessor

The new `reset_returns_indicator_to_warmup` test in this branch called
`atr.is_ready()` but `WasmAtr` is hand-coded (not generated by the
`wasm_scalar_indicator!` macro) and does not expose `is_ready` on the
JS surface — that pattern is reserved for macro-generated scalar
wrappers.

Replace the second leg of the test with `WasmEma` so the test exercises
two macro-generated scalars whose `is_ready`/`reset` semantics are
guaranteed by the same code path. The candle-input lifecycle is
already covered by `candle_input_streaming_matches_batch_and_lifecycle`.

Workspace clippy locally green:
- cargo clippy -p wickra-wasm --all-targets -- -D warnings
- cargo check -p wickra-wasm --target wasm32-unknown-unknown --tests

* fix(wasm-tests): Bollinger batch layout is 4 floats per bar, not 3

The new `bollinger_batch_orders_upper_mid_lower` test indexed the batch
output as `[u0, m0, l0, u1, m1, l1, ...]` (3 floats per bar) but the
actual WasmBb::batch layout is `[u0, m0, l0, sd0, u1, m1, l1, sd1, ...]`
— four floats per bar including stddev. The assertion read an upper
band against a middle from the previous bar, which can violate the
expected upper >= middle ordering and made the test fail intermittently.

Switch the stride from `* 3` to `* 4` so we read upper / middle / lower
from the same bar. Also add an `is_finite()` precondition so the test
fails with a clear "warmup positions unexpectedly NaN" message rather
than a confusing NaN-comparison if the dataset ever shrinks.

* fix(wasm-tests): drop redundant wasm-test job; existing WASM build covers it

The CI workflow already had a `WASM build` job that runs
`wasm-pack test --node bindings/wasm` after building. The
`wasm-test` job I added in cc961b3 duplicated that step and was
the only one whose `taiki-e/install-action` SHA was wrong, so it
also kept failing on a non-resolvable action reference.

Removing the duplicate keeps the test coverage (it lives in the
existing WASM build job) and gets rid of the unresolvable SHA.
2026-05-30 18:21:36 +02:00
kingchenc 9db1ff8023 chore(bench): curate benchmarks to ~30 representative indicators (#63)
Previously every push of `cargo bench -p wickra` ran 114 indicators at
three workload sizes each (1k / 10k / 50k candles), which inflated bench
runtime past ten minutes for diminishing signal — most family members
are linear scalings of the same hot loop, so a regression in any one of
them shows up identically in the cheapest member.

This commit replaces the exhaustive list with a curated selection: the
cheapest baseline and the most expensive representative from each of
the sixteen families, totalling ~33 indicators across scalar, candle,
and multi-output APIs.

If you need to profile a specific indicator that is not in the curated
set, add it temporarily and run `cargo bench -- <name>` to target just
that bench; it does not need to be committed.

Fixed in passing:
- `Cci` is `Indicator<Input = Candle>`, not f64; corrected the bench
  selector to `bench_candle_input`.
- `Psar::new` takes (af_start, af_step, af_max) — supplied all three.
- `TdSequential` uses `::classic` for the textbook (4, 9, 2, 13)
  parameters; the old call was missing arguments.
2026-05-30 18:21:19 +02:00
kingchenc fb6eae7fe2 docs: add ARCHITECTURE, ROADMAP, CITATION, FUNDING, editorconfig (#62)
Five governance + onboarding files that collectively close the
"no high-level documentation outside of README" gap.

- ARCHITECTURE.md: workspace layout, Indicator trait contract,
  per-indicator file conventions, numerical-stability notes,
  cross-crate flow diagram, navigation cheatsheet, deliberate
  non-goals, performance characteristics, stability commitments.
- ROADMAP.md: north star, 0.3 / 0.4 / 0.5 release windows,
  indicator-wishlist intake rules, explicit non-goals, versioning policy.
- CITATION.cff: GitHub-renders as "Cite this repository" button;
  enables academic adoption.
- .github/FUNDING.yml: surfaces Sponsor button on the repo page.
- .editorconfig: normalises indent/EOL across IDEs (Rust/Python 4 spaces,
  JS/TS/JSON/YAML/MD 2 spaces, Makefile tabs).

Touches no Rust source, no CI workflows, no behaviour. Additive only.
URLs in ROADMAP/CITATION already reference the post-transfer
`wickra-lib/wickra` org so the files stay valid once the org migration
in PR #59 lands; merge this PR only after #59 to keep main consistent.
2026-05-30 18:20:52 +02:00
kingchenc 0edb9f4857 fix(bindings): clear clippy pedantic lints and lint bindings in CI (#77)
* fix(bindings): clear clippy pedantic lints and lint bindings in CI

Resolve the pedantic lints that only surfaced under a full
`cargo clippy --workspace` (the CI clippy job covered only the core
crates, so the Python/Node bindings drifted):

- manual_midpoint: `(a + b) / 2.0` -> `f64::midpoint(a, b)` (node + python)
- new_without_default: add `Default` impls for the six no-arg Node nodes
- type_complexity: factor the pivot/Ichimoku return tuples into
  `PivotLevels` / `WoodieLevels` / `IchimokuLines` aliases (python)
- many_single_char_names: allow at crate level — OHLCV batch helpers bind
  the conventional o/h/l/c/v column names

Add a dedicated `clippy-bindings` CI job (ubuntu-only, with Python + Node
toolchains) so future binding lints fail CI instead of slipping through.

* ci: lint Python and Node bindings in a dedicated clippy job

The main `rust` job's clippy step only covers wickra-core/wickra/
wickra-data/wickra-wasm, so pedantic lints in the PyO3/napi bindings
slipped through. Add an ubuntu-only `clippy-bindings` job that
provisions Python + Node (needed by the build scripts) and runs
`cargo clippy -p wickra-node -p wickra-python --all-targets -- -D warnings`.
2026-05-30 18:16:21 +02:00
kingchenc ea684e0d48 feat(family-api): add FAMILIES const and family-taxonomy tests (#60)
* feat(family-api): add FAMILIES const and family-taxonomy tests

Introduce `wickra_core::FAMILIES`, a `&'static [(&str, &[&str])]` mapping
every built-in indicator to one of 16 families (Moving Averages, Momentum
Oscillators, Trend & Directional, Price Oscillators, Volatility & Bands,
Bands & Channels, Trailing Stops, Volume, Price Statistics, Ehlers /
Cycle (DSP), Pivots & S/R, DeMark, Ichimoku & Charts, Candlestick
Patterns, Market Profile, Risk / Performance).

Two compile-time-anchored guards make sure the const stays trustworthy:
- `no_duplicates_across_families`: no indicator is listed in two families
- `total_count_matches_expected`: hard-coded total bumps in lockstep with
  the indicator catalogue (214 today), so any new indicator added without
  being filed under a family trips the test.

Also corrects the module doc comment which falsely claimed
indicators were grouped by category internally; the `mod` block is
alphabetical, and the canonical taxonomy now lives in `FAMILIES`.

* chore: sync indicator count to 214

---------

Co-authored-by: wickra-bot <wickra-bot@users.noreply.github.com>
2026-05-30 14:58:16 +02:00
kingchenc 62ab84c472 chore(migration): switch org to wickra-lib and maintainer email to wickra.lib@gmail.com (#59)
Introduce repo-metadata.toml as single source of truth for repo identity
(org slug, maintainer email, canonical URLs) and add sync-metadata.yml
workflow with a Python audit script that fails CI if any tracked file
drifts back to pre-migration values.

Bulk-replace across 24 tracked files:
- kingchenc/wickra -> wickra-lib/wickra (URL segment)
- kingchencp@gmail.com -> wickra.lib@gmail.com (maintainer email)
- @kingchenc -> @wickra-lib (CODEOWNERS mention only)

Person-name credits are preserved: LICENSE copyright holder, Cargo.toml
authors handle, and CHANGELOG historical @kingchenc reference all remain
unchanged. Crate / PyPI / npm package names also untouched.

Merge this PR only after the kingchenc/wickra -> wickra-lib/wickra org
transfer has happened on the GitHub side, otherwise all badges and
repository links 404 until the transfer is performed.
2026-05-30 12:18:10 +02:00
kingchenc 0f2ff9c3c7 chore(sync-about): count public indicator types, not module files (#70)
* chore(sync-about): count public indicator types, not module files

The sync-about workflow counted `mod xxx;` lines in
crates/wickra-core/src/indicators/mod.rs to derive the indicator count
that gets propagated to README, the GitHub About description, and the
wiki. That under-reported by one because `vwap.rs` exports two public
types — `Vwap` (cumulative) and `RollingVwap` (finite window) — from
the same module. The bindings reach both, so users see 214 indicators
even though there are only 213 source files.

Fix the count by parsing the canonical `pub use indicators::{ ... }`
block in lib.rs, dropping the `FAMILIES` constant and any `*Output`
companion structs, and counting the remaining public types. Pure-shell
implementation so the workflow doesn't grow a python dependency.

Sync README to the corrected count (213 -> 214) in the same commit so
the PR validates cleanly through the workflow's PR-flow.

* docs(bindings): sync per-binding READMEs and docs/ pointer to 214 / 16

The bindings/{node,python,wasm}/README.md files (which ship to
npm / PyPI / npm again) and docs/README.md (the pointer to the
wiki) all carried the stale '71 streaming-first indicators across
eight families' header from before the family expansion. Pull the
canonical 16-family table out of the main README into all three
binding READMEs and update docs/README.md to list every family by
name, so a user landing on PyPI / npm sees the current catalogue
shape.
2026-05-30 00:40:13 +02:00
kingchenc e85334a2e9 test(cold-paths): cover 3 lines in mama/rsi/sine_wave (#58)
* test(cold-paths): cover phase fallback in mama/sine_wave and rsi naive helper saturation

* fix(rsi): drop redundant closure in test helper
2026-05-26 21:08:50 +02:00
kingchenc 4e3c41ea80 feat(family-15): add 17 risk/performance metrics (#54)
* feat(family-15): add 17 risk/performance metrics

Implements Family 15 pragmatically as standard `Indicator`s instead of a
separate `wickra-metrics` crate. Input is scalar `f64` per bar — period
return, equity sample, or per-trade P&L depending on the metric.

Scalar `Indicator<f64>` (14):
- SharpeRatio(period, risk_free)
- SortinoRatio(period, mar)
- CalmarRatio(period)
- OmegaRatio(period, threshold)
- MaxDrawdown(period)          — rolling, peak-to-trough
- AverageDrawdown(period)
- DrawdownDuration             — cumulative, bars under water (u32 output)
- PainIndex(period)
- ValueAtRisk(period, confidence)
- ConditionalValueAtRisk(period, confidence)
- ProfitFactor(period)
- GainLossRatio(period)
- RecoveryFactor               — cumulative, net return / max drawdown
- KellyCriterion(period)

Two-series `Indicator<(f64, f64)>` for (asset, benchmark) returns (3):
- TreynorRatio(period, risk_free)
- InformationRatio(period)
- Alpha(period, risk_free)     — Jensen / CAPM

Touchpoints:
- 17 new files under `crates/wickra-core/src/indicators/`.
- `mod.rs` + `lib.rs` re-exports.
- Python bindings (`bindings/python/src/lib.rs`, `__init__.py`).
- Node bindings (`bindings/node/src/lib.rs`, `index.js`).
- WASM bindings (`bindings/wasm/src/lib.rs`).
- Fuzz: scalar metrics appended to `indicator_update.rs`; new
  `indicator_update_pair.rs` fuzz target for `(f64, f64)` indicators.
- Python tests: SCALAR + new PAIR parameter lists in `test_new_indicators.py`,
  reference-value cases in `test_known_values.py`.
- Node tests: scalar factories + new pair-factory block in
  `bindings/node/__tests__/indicators.test.js`.
- Benches: 5 Family-15 benches added in `crates/wickra/benches/indicators.rs`.
- Docs: README family-table row + counter (71 -> 88), CHANGELOG entry under
  [Unreleased].

Note: Family 12 (statistik-regression, PR #51) introduces
`node_pair_indicator!` and `wasm_pair_indicator!` macros for Pearson /
Beta / Spearman. Family 15 needs the same pair-input pattern but Family 12
is not yet in main, so the three pair wrappers below are written by hand
in this PR. When PR #51 lands, the trivial merge-conflict is resolved by
keeping the macros from Family 12 and re-using them for Treynor / IR /
Alpha (drop the three handwritten wrappers).

cargo check --workspace --all-features: green.

* fix(family-15): satisfy clippy doc_markdown / if_not_else / digit_grouping

* fix(family-15): unused TreynorRatio import, duplicate pairFactories, _eq_nan inf handling

* fix(family-15): node eq() handles matching infinities for ratio indicators

* test(family-15): cover cold paths flagged by codecov patch
2026-05-26 20:44:21 +02:00
kingchenc 55284a3042 feat(family-14): add 15 candlestick patterns (#53)
* feat(family-14): add 15 candlestick patterns

Introduces the Candlestick Patterns family (block A of the family-14 spec)
as scalar f64 indicators on Candle inputs. Each detector emits +1.0 for a
bullish reading, -1.0 for a bearish reading, and 0.0 when no pattern is
present. Doji is direction-less and emits +1.0 / 0.0 only.

New indicators (15):

- Doji
- Hammer
- InvertedHammer
- HangingMan
- ShootingStar
- Engulfing
- Harami
- MorningEveningStar (signed: +1.0 morning star, -1.0 evening star)
- ThreeSoldiersOrCrows (signed: +1.0 soldiers, -1.0 crows)
- PiercingDarkCloud (signed: +1.0 piercing, -1.0 dark cloud)
- Marubozu (signed: +1.0 bullish, -1.0 bearish, 5 percent shadow tolerance default)
- Tweezer (signed: +1.0 bottom, -1.0 top, 10 bps relative tolerance default)
- SpinningTop (direction-signed indecision)
- ThreeInside (confirmed Harami)
- ThreeOutside (confirmed Engulfing)

MVP scope notes:

- Pattern-shape check only, no trend filter applied. Caller combines with a
  trend indicator for actionable signals. Documented in every doc comment.
- Block B (Harmonic patterns) and block C (Chart patterns) remain
  out-of-scope and will follow when the pattern-detection framework (pivot
  detector, multi-bar state machines) lands.

Touched across all bindings: Python, Node, WASM. Fuzz target, Python tests
(streaming-vs-batch + reference values), Node tests (streaming-vs-batch +
reference values), and a representative bench subset (1-, 2- and 3-bar
patterns) added. README family table + indicator counter (71 -> 86, eight
-> nine families) and CHANGELOG [Unreleased] updated.

* fix(family-14): unpack MULTI values with *_ to handle 3-element tuples

* cov(family-14): cover Default impl cold paths and MorningEveningStar guard branches
2026-05-26 00:54:11 +02:00
kingchenc 9b8e1346ed feat(family-16): add ValueArea + InitialBalance + OpeningRange (#52)
* feat(family-16): add ValueArea + InitialBalance + OpeningRange

Opens family #16 (Market Profile) with the three OHLCV-compatible scalar /
multi-output indicators:

- ValueArea(period, bin_count, value_area_pct) -> {poc, vah, val}.
  Rolling bin-approximation volume profile over the last `period`
  candles. Each candle's volume is spread uniformly across [low, high];
  POC is the bin with highest cumulative volume; the value area expands
  symmetrically from POC and always absorbs the higher-volume neighbour
  next, until `value_area_pct` (default 0.70) of total volume is
  enclosed. Defaults (20, 50, 0.70).

- InitialBalance(period) -> {high, low}. Tracks session-opening high
  and low over the first `period` bars, then locks. Default period = 12
  (one-hour IB on 5-minute bars for US equities). Callers MUST invoke
  reset() at every session boundary, otherwise IB stays fixed for the
  lifetime of the instance.

- OpeningRange(period) -> {high, low, breakout_distance}. Same
  lock-after-N-bars semantics as IB with a shorter default period
  (6 = 30 min on 5-minute bars) and a third output that tracks
  close - or_mid (positive above the range mid, negative below).

Histogram-output Market Profile variants (Volume Profile, VPVR,
Composite Profile) are deferred because they need a new histogram
output API layer rather than fixed-arity scalars. Tick-data-only
variants (TPO Profile, Single Print, Order Flow Delta, Cumulative
Delta, Volume-Weighted Open) are out of scope because `wickra-data`
does not currently expose tick / L2 data.

All four bindings (Rust core, Python, Node, WASM) ship the new
indicators with parity tests; benches added; fuzz target extended.
Counter 71 -> 74 across 8 -> 9 families. cargo check --workspace
--all-features green.

* fix(family-16): cover cold paths in InitialBalance + ValueArea

InitialBalance::value() public getter had no test covering the post-update
Some(...) branch — extended accessors_and_metadata to call value() after one
update. ValueArea single-print bar path (c.high == c.low) was unreachable in
existing tests since the only single-print test used a uniform 100-price
window which exits early via the span == 0 guard; added a mixed-window test
that triggers the c.high <= c.low branch directly. The (None, None) arm of
the expansion match was by-construction unreachable (the loop condition
already requires at least one neighbour) and has been folded into an
if/else.
2026-05-26 00:14:30 +02:00
kingchenc 05fcdd9a5e feat(family-12): add 13 Statistik/Regression indicators (#51)
* feat(family-12): add 13 Statistik/Regression indicators

Brings the Price Statistics family to 20 indicators (7 → 20) and the
total catalogue to 84 (71 → 84). Every indicator ships in the Rust
core plus Python, Node, and WASM bindings with full streaming ↔ batch
parity, fuzz coverage, and benches.

Scalar (f64 → f64):
- Variance, CoefficientOfVariation: rolling population variance and
  its dimensionless ratio with the mean. O(1) updates.
- Skewness, Kurtosis: rolling Pearson skewness and excess kurtosis,
  derived from running sums of x, x², x³, x⁴ via the binomial
  identities — also O(1) per bar.
- StandardError, DetrendedStdDev: standard error of estimate (n − 2)
  and population StdDev (n) of OLS residuals, sharing the LinReg
  O(1) sliding sums.
- RSquared: coefficient of determination of the rolling OLS fit; the
  trend-quality filter, clamped to [0, 1].
- MedianAbsoluteDeviation: robust dispersion estimator; O(period log
  period) per emission via two in-place sorts of a reusable scratch
  buffer.
- Autocorrelation(period, lag): rolling lag-k Pearson autocorrelation.
- HurstExponent(period, chunks): R/S-analysis trend-persistence
  estimator clamped to [0, 1].

Pair indicators (Input = (f64, f64)):
- PearsonCorrelation: rolling cross-series Pearson, O(1).
- Beta: rolling OLS slope of asset vs. benchmark (CAPM).
- SpearmanCorrelation: rolling rank correlation with mid-rank tie
  handling; O(period log period).

Touchpoints:
- crates/wickra-core: 13 new indicator modules + mod.rs / lib.rs
  re-exports.
- bindings/python: pyclasses + add_class registration + __init__.py
  import & __all__ updates. The pair indicators expose
  update(x, y) and batch(x, y) over two equally-sized numpy arrays.
- bindings/node: scalar indicators via node_scalar_indicator! macro;
  pair indicators via new node_pair_indicator! macro; explicit
  structs for Autocorrelation and HurstExponent (two-arg ctors).
  index.js extended with the new exports.
- bindings/wasm: scalar wrappers via wasm_scalar_indicator!; pair
  wrappers via new wasm_pair_indicator! macro.
- fuzz: every scalar drove through the generic helper; pair
  indicators stress-tested by pairing adjacent samples of the fuzz
  input.
- Python tests (test_new_indicators.py): added to SCALAR
  parametrisation, plus algebraic reference values
  (variance of [2,4,6] = 8/3, MAD ignoring outlier = 0, monotone
  non-linear Spearman = 1, two-to-one Beta = 2, etc.) and a
  streaming-vs-batch test for the pair indicators.
- Node tests (indicators.test.js): extended the scalar factories
  map and added a pair-indicator section with the same algebraic
  reference values.
- crates/wickra/benches: bench_scalar entries for all 10 single-
  input new indicators.
- README: counter 71 → 84; Price Statistics family-table row
  expanded with the 13 new indicators.
- CHANGELOG: Unreleased section documents the family addition.

Wiki drafts (ghost-ignored, manual sync to wickra.wiki at release
time): indicator-ideas/families/wiki/family-12-statistik-regression/
contains 13 deep-dive pages plus _Sidebar / Indicators-Overview /
Warmup-Periods / Home fragments for the curator merge.

cargo check --workspace --all-features: clean.

* fix(family-12): remove unreachable defensive guards in hurst_exponent

The three guards (m < 2 continue, end > buf.len() break, denom == 0.0
return) are by-construction unreachable given the constructor invariant
period >= 2 * chunks: m = period / k for k in 1..=chunks always
satisfies m >= 2 and end = (c+1) * m <= k * m <= period = buf.len(),
and m_1 = period and m_2 = period / 2 are always distinct so the slope
denominator is strictly positive. Removing them brings codecov/patch
back to 100%.
2026-05-25 23:42:05 +02:00
kingchenc 5aa0949bce feat(family-13): add Ichimoku + Heikin-Ashi (#50)
Two new indicators in a brand-new "Ichimoku & alternative charts"
family:

- `Ichimoku` (Ichimoku Kinko Hyo): the full five-line cloud system
  (Tenkan-sen, Kijun-sen, Senkou Span A/B, Chikou Span). Classic
  (9, 26, 52, 26) defaults; configurable. Forward displacement is
  handled in an O(1) ring buffer so the visible Senkou A/B at bar n
  are the values computed at bar n-displacement.
- `HeikinAshi`: recursive candle smoothing transform emitting a
  four-field synthetic candle. Seeds ha_open from (open+close)/2 on
  the first bar.

Touchpoints: core + unit tests, mod.rs/lib.rs re-exports, Python +
Node + WASM bindings (multi-output via PyArray2 / interleaved Vec<f64>
/ Object+Float64Array), Python tests across smoke/new-indicators/
input-validation, Node parity tests, fuzz target (Candle), benches,
README family table + counter (71 -> 73, 8 -> 9 families), CHANGELOG.

Note: Renko, Kagi, and Point & Figure from the family-13 ideas list
are intentionally skipped. They are bar generators (the bar boundary
is defined by price moves, not by a fixed time interval) rather than
indicators that consume a candle stream, and belong in wickra-data
as candle/tick transforms alongside the existing tick-to-candle
aggregator and resampler.
2026-05-25 23:02:29 +02:00
kingchenc b971e671b4 test(family-10): cover cold paths flagged by codecov (#57)
Add tests that exercise the protective fallbacks reachable via flat or
zero-valued input:

- `CenterOfGravity::zero_window_uses_zero_fallback` — den == 0 branch.
- `EhlersStochastic::flat_window_emits_zero` — range == 0 branch.
- `Mama::flat_input_uses_phase_fallback` and the matching
  `SineWave` variant — `i1` collapses to zero on a constant series.
- `Fama::new_with_valid_limits_constructs_via_mama` exercises the
  `Ok(Self { inner: Mama::new(..)? })` arm that no other test reaches.

Three branches were genuinely unreachable by construction, so the dead
code is removed rather than masked with an attribute:

- `Mama` clamped `alpha > fast_limit` after the lower-bound clamp; the
  upper bound is implied by `delta_phase >= 1` and `alpha = fast / delta_phase`.
- `CyberneticCycle` had a `0.0` fallback after the warmup gate that the
  3-slot ring buffers preclude (`count >= 7` => all five `Some`s).
- `DecyclerOscillator` used a `let-else { return None }` over a pair of
  `Decycler::update` calls that always emit `Some` from the first bar.
2026-05-25 22:32:00 +02:00
kingchenc 7a18a26daf feat(family-10): add 16 Ehlers / Cycle (DSP) indicators (#49)
Implements Family 10 (Ehlers / Cycle) end-to-end across Rust core,
Python / Node / WASM bindings, fuzz, tests, benches and docs. This
is an entirely new family covering John Ehlers' digital-signal-
processing school of cycle analytics — a strong differentiator
versus TA-Lib and pandas-ta, which ship only fragments.

Indicators:
- MAMA (Mesa Adaptive MA) — multi-output { mama, fama }
- FAMA (Following Adaptive MA) — scalar wrapper around MAMA's slow line
- Fisher Transform — Gaussian-normalising price transform
- Inverse Fisher Transform — bounded oscillator (tanh-based)
- SuperSmoother — 2-pole Butterworth lowpass
- Roofing Filter — high-pass + SuperSmoother bandpass
- Decycler — price minus 2-pole high-pass (lag-free trend)
- Decycler Oscillator — fast / slow Decycler difference (MACD-like)
- Hilbert Dominant Cycle — phase-derived period estimator [6, 50]
- Sine Wave Indicator — sin(phase) with 45° lead companion
- Adaptive Cycle Indicator — half-period driver for adaptive oscillators
- Center of Gravity Oscillator — weighted-mass momentum
- Cybernetic Cycle Component — EasyLanguage classic
- Empirical Mode Decomposition — bandpass + envelope mean
- Ehlers Stochastic — Stochastic on Roofing Filter input, [-1, +1]
- Instantaneous Trendline — Ehlers 2-pole lag-free trend

Indicator count rises 71 -> 87 across nine families (was eight).

All sixteen pass batch == streaming equivalence, expose the standard
Indicator surface (update / batch / reset / is_ready / warmup_period
/ name), are fuzz-tested, benchmarked against the checked-in BTCUSDT
1-minute dataset and reach across all four bindings.

Wiki deep-dive drafts for every indicator + Sidebar / Overview /
Home / Warmup updates are staged under indicator-ideas/families/
wiki/family-10-ehlers-cycle/ in the main repo (ghost-ignored) for
the maintainer to publish to the wiki repo manually.
2026-05-25 22:14:27 +02:00
kingchenc 4f9ed34884 feat(family-11): add DeMark suite (TD Setup, Sequential, DeMarker, REI, Pressure) (#48)
* feat(family-11): add DeMark suite (TD Setup, Sequential, DeMarker, REI, Pressure)

Family 11 (DeMark) was previously empty; this PR adds five
streaming-first DeMark indicators in one batch.

- **TD Setup** (`TdSetup`): parameterised buy/sell setup counter.
  Counts consecutive bars whose close is less-than (buy) or
  greater-than (sell) the close `lookback` bars earlier, saturating
  at `target`. Emits a signed `f64` so callers read direction from
  the sign and run length from the magnitude. Classic config:
  `lookback = 4`, `target = 9`.

- **TD Sequential** (`TdSequential`): the canonical Setup + Countdown
  exhaustion pattern. Output struct `{ setup, countdown, direction }`
  exposes both phase counts as signed numbers plus the active
  countdown direction (+1 buy / -1 sell / 0 none). Countdown
  activates when a setup completes and tracks the close-vs-high/low
  comparison `countdown_lookback` bars back, capped at
  `countdown_target`. Classic: 4/9/2/13.

- **TD DeMarker** (`TdDeMarker`): bounded [0, 1] oscillator from the
  rolling average of upward high expansion (DeMax) and downward low
  expansion (DeMin). Falls back to the neutral 0.5 on a flat market
  (denominator zero).

- **TD REI** (`TdRei`): Range Expansion Index, bounded [-100, 100].
  Per-bar numerator gated on a range-overlap condition vs the bars
  5 and 6 back, normalised by a `period`-bar sum of absolute moves.
  Classic period = 5. Saturates at +100 in a slow steady uptrend
  and at -100 in the mirror downtrend; emits 0 on a flat market.

- **TD Pressure** (`TdPressure`): volume-weighted buying / selling
  pressure normalised to [-100, 100]. Per-bar pressure is the
  intra-bar close-vs-open ratio scaled by volume; the output is the
  rolling mean divided by the rolling mean volume. Zero-range bars
  contribute zero (avoid the undefined ratio) and a flat zero-volume
  window falls back to 0.

Bindings: all five exposed in Python (`ta.TDSetup`, `ta.TDSequential`,
`ta.TDDeMarker`, `ta.TDREI`, `ta.TDPressure`), Node (`wickra.TDSetup`
etc.), and WASM. Multi-output classes (`TDSequential`) return either
a struct `{ setup, countdown, direction }` per bar (streaming) or a
flat interleaved Float64Array of length `3 * n` (batch).

Tests: 47 unit tests across the five new core files (pure-trend
saturation, flat-market neutral fallback, batch-equals-streaming,
zero-parameter rejection, reset semantics, accessors). Python
test_new_indicators.py picks up all five plus a multi-output TD
Sequential block. Node indicators.test.js picks up all five.
Reference values added to test_known_values.py.

Fuzz: candle fuzz target sweeps all five DeMark indicators with the
existing `Vec<f64>` -> `Vec<Candle>` driver.

Benches: BTCUSDT 1-minute dataset benches for each DeMark indicator
in `crates/wickra/benches/indicators.rs`.

Docs: README family table gains a "DeMark" row; indicator counter
bumped 71 -> 76. CHANGELOG entry added under [Unreleased]. Wiki
drafts (deep-dive pages + Sidebar / Overview / Warmup-Periods / Home
deltas) live under `indicator-ideas/families/wiki/family-11-demark/`
for manual merge into the wiki repo.

* feat(family-11): add 7 missing DeMark indicators

Complete the DeMark suite (family 11) with the seven indicators not
covered by the first commit: TD Combo, TD Countdown, TD Lines (TDST),
TD Range Projection, TD Differential, TD Open, and TD Risk Level.

- TdCombo: aggressive countdown variant with three strictness rules
  on top of the classic close-vs-low/high lookback rule (monotone
  low/high, monotone close vs prior bar).
- TdCountdown: standalone 13-bar countdown packaging only the signed
  countdown count (the setup machine runs internally).
- TdLines: TDST horizontal support/resistance levels from the
  highest-high / lowest-low bars of the most-recently-completed
  setup, exposed as a multi-output struct.
- TdRangeProjection: DeMark X-projection of the next bar's high and
  low from the current bar's OHLC via an open-vs-close-weighted
  pivot (three branches: close<open, close>open, close==open).
- TdDifferential: two-bar buying-pressure vs selling-pressure
  reversal pattern emitting +1/-1/0.
- TdOpen: gap-and-fade reversal pattern (open outside prior range
  with subsequent recovery into it) emitting +1/-1/0.
- TdRiskLevel: protective stop levels derived from the setup
  extreme bar +/- its true range.

All seven are wired through Rust core, Python, Node and WASM
bindings, registered in the candle-stream fuzz target, given
benchmark entries on the BTCUSDT 1-minute dataset, and covered by
streaming-vs-batch equivalence, reference-value, lifecycle and
input-validation tests on the Python and Node sides. README counter
moves 76 -> 83 and the CHANGELOG "family 11" entry is extended to
list all twelve indicators.

* fix(td_risk_level tests): check first emission at idx 12, not last bar

TdRiskLevel re-ratchets the sell-risk level on each subsequent setup
completion, so a strictly rising series produces 22.0 at idx 19 (latest
setup) rather than 15.0 (first setup). The test comment already named
idx 12 as the reference; switch the assertion from out[-1] to out[12]
to match the reference computation.

* test(family-11): cover buy-direction branches in TD indicators

Add downtrend tests to TdSequential, TdCombo and TdCountdown so the
buy-side countdown/combo increment branches are exercised; remove an
empty `if buy_countdown == target {}` block in TdSequential whose
behavior is already enforced by the outer strict `<` guard.

Closes codecov/patch gaps reported on PR #48 (10 missed lines across
the three files).
2026-05-25 20:36:36 +02:00
kingchenc 7e1e988596 feat(family-08): Pivots & Support/Resistance (7 indicators) (#47)
* feat(family-08): add Classic, Fibonacci, Camarilla, Woodie and DeMark pivots + Williams Fractals + ZigZag

Seven new indicators land the previously empty Pivots & S/R family
(family 08), each implemented in wickra-core with the full Indicator
trait surface (update / reset / warmup_period / is_ready / name),
exposed across Python (PyO3), Node (napi-rs) and WASM (wasm-bindgen)
with the standard streaming + batch APIs, and covered by Rust unit
tests, Python streaming-vs-batch + reference-value tests, Node
streaming-vs-batch tests, the candle-input fuzz target and Rust
microbenchmarks.

- ClassicPivots (7 levels): PP = (H+L+C)/3, three R/S tiers per the
  floor-trader formulas.
- FibonacciPivots (7 levels): PP plus R/S spaced by 0.382 / 0.618 /
  1.000 of the prior range.
- Camarilla (9 levels): Nick Stott's four-tier `C +/- (H - L) * 1.1 /
  {12, 6, 4, 2}` levels.
- WoodiePivots (5 levels): close-weighted PP = (H + L + 2*C) / 4 plus
  two R/S tiers.
- DemarkPivots (3 levels): conditional X sum based on the previous
  bar's open-vs-close relationship.
- WilliamsFractals: five-bar swing detector emitting optional up/down
  fractal prices at the centre of each window.
- ZigZag: percent-threshold swing tracker, non-repainting; emits the
  just-completed extreme and direction on confirmed reversals only.

README family table updated to nine families / 78 indicators;
CHANGELOG records the family-08 addition under [Unreleased].

* fix(family-08 tests): unify MULTI dict to 3-tuple (factory, batch_call, k)

The HEAD-side family-08 test parametrised MULTI[name] as
`(factory, batch_call, output_arity)` so that pivots with arity 3/5/7/9
fit the same harness. Main's entries arrived as 2-tuples; convert them
all to the 3-tuple shape so `make, batch_call, k = MULTI[name]` unpacks
cleanly. Lifecycle test now indexes the tuple instead of destructuring.

* test(zig_zag): tighten flat-oscillation test (drop dead counter branch)

The previous version of `small_oscillations_yield_no_swings` counted
emitted swings, but the assertion proves the counter never increments
so codecov flagged `emitted += 1` as uncovered. Switch to a per-bar
`assert!(...is_none())` — same coverage of the no-swing path, no dead
branch.
2026-05-25 20:06:46 +02:00
kingchenc f10b8c2e2d feat(family-09): add 7 trailing stops (HiLo, Volty, Yo-Yo, Donchian, Pct, Step, Renko) (#46)
* feat(family-09): add 7 trailing stops (HiLo, Volty, Yo-Yo, Donchian, Pct, Step, Renko)

Rounds out the Trailing Stops family from 5 to 12 indicators:

- HiLoActivator (Crabel): SMA-of-high/SMA-of-low trail with a one-bar
  lag; emits the opposite-side SMA as the trailing stop.
- VoltyStop (Cynthia Kase): ATR trail anchored on the extreme close
  since the trade was opened — tighter than AtrTrailingStop on
  pullbacks.
- YoyoExit: long-only ATR trail with an explicit re-entry trigger at
  trail + multiplier*ATR; exposes an in_trade flag.
- DonchianStop (Turtle): lowest low / highest high over the window;
  multi-output {stop_long, stop_short}.
- PercentageTrailingStop: fixed-percent trail that scales across
  instruments without per-asset tuning.
- StepTrailingStop: snaps to a step_size-aligned grid; mirrors
  discretionary stop-by-hand workflow.
- RenkoTrailingStop: block-anchored trail; only moves on full-block
  advances, ignores intra-block noise.

All seven are wired into wickra-core, the Python / Node / WASM
bindings, the indicator_update + indicator_update_candle fuzz targets,
the wickra bench harness, and the Python + Node test suites. README
counter bumps from 71 to 78; CHANGELOG entry under [Unreleased].

* fix(family-09): satisfy pedantic clippy lints

- hilo_activator: rewrite match-Some/None as if-let-else (single_match_else),
  add backticks around the HiLo identifier in module/struct doc (doc_markdown).
- percentage / step / renko trailing stop tests: use f64::from(i32) instead
  of `as f64` (cast_lossless).
- bench `benches()` is now >100 lines after Family 09 was wired in; allow
  too_many_lines (matches the python pymodule fn).
2026-05-25 19:36:14 +02:00
kingchenc 880a0e7430 feat: Family 07 Volume - 6 new volume-flow indicators (#45)
* feat(kvo): add Klinger Volume Oscillator

Stephen J. Klinger's trend-aware volume-force MACD. Each bar produces a 'volume force' (vf) signed by the local trend (+1 / -1 / carry) and scaled by the ratio of the current accumulation horizon to its previous trend. KVO = EMA(vf, fast) - EMA(vf, slow), classic (34, 55).

Rust core (Kvo) with 7 unit tests (rejects zero / fast>=slow, accessors, constant series collapses to 0, warmup lands at slow+1, batch == streaming, reset clears state), plus Python (PyKvo + KVO export), Node (KvoNode), and WASM (WasmKvo) bindings. Fuzz target adds Kvo to the candle-input sweep, bench adds the candle-input KVO benchmark, README counter 71 -> 72 + family table row, CHANGELOG [Unreleased].

* feat(volume-oscillator): add Volume Oscillator (VO)

Percent difference between a fast and a slow SMA of the bar volume: 100 * (SMA(vol, fast) - SMA(vol, slow)) / SMA(vol, slow). Default (14, 28). The line stays near zero in stable conditions; positive readings show rising short-term participation, negative readings show waning interest.

Rust core (VolumeOscillator) with 8 unit tests (period validation, accessors, constant volume == 0, zero-volume window defensive branch, two reference values verified algebraically, batch == streaming, reset), plus Python (PyVolumeOscillator + VolumeOscillator export), Node (VolumeOscillatorNode), and WASM (WasmVolumeOscillator) bindings. Fuzz target adds VolumeOscillator to the candle-input sweep, bench adds the volume_oscillator benchmark, README counter 72 -> 73 + family table row, CHANGELOG [Unreleased].

* feat(nvi-pvi): add Negative & Positive Volume Index

Paul Dysart's cumulative volume-flow indices, popularised by Norman Fosback in 'Stock Market Logic'. Both run from a 1000.0 baseline and only update on a specific direction of volume change:

- NVI updates on volume-contraction bars (volume_t < volume_{t-1}), absorbing the percent close change. Tracks the 'smart money' leg per Fosback.
- PVI updates on volume-expansion bars (volume_t > volume_{t-1}). Tracks the 'crowd' leg.

Both expose with_baseline(f64) for custom starting indexes. The NVI/PVI pair is listed as a single line in indicator-ideas/families/07-volume.md and shares the same lifecycle/test/binding surface, so they ship as one commit.

Rust core (Nvi, Pvi) with 9 unit tests each (accessors, baseline seed, volume direction branches, zero-prev-close guard, custom baseline, batch == streaming, reset), plus Python (PyNvi/PyPvi + NVI/PVI exports), Node (NviNode/PviNode), and WASM (WasmNvi/WasmPvi) bindings. Fuzz target adds Nvi+Pvi to the candle-input sweep, bench adds nvi+pvi entries, README counter 73 -> 75 + family table row, CHANGELOG [Unreleased].

* feat(family-07): add Williams A/D, Anchored VWAP, Demand Index, TSV, VZO, Market Facilitation Index

Finishes the volume-flow family with the remaining (new) entries from
indicator-ideas/families/07-volume.md.

Indicators added:

- Williams A/D (`WilliamsAD`): Larry Williams' volume-less cumulative
  accumulation/distribution line. Anchors each bar's contribution to
  the previous close via true-high/true-low (gap-aware).
- Anchored VWAP (`AnchoredVwap`): cumulative VWAP whose accumulation
  starts at a user-chosen anchor bar. Exposes `set_anchor()` (queued
  to the next `update`) for click-to-anchor workflows. Reset clears
  both state and pending-anchor flag.
- Demand Index (`DemandIndex`): James Sibbet's smoothed buying-vs-
  selling pressure, in the streaming-friendly textbook form
  `EMA(volume * close-return * (1 + range/close), period)`.
- Time Segmented Volume (`Tsv`): Don Worden's rolling window-sum of
  `(close_t - close_{t-1}) * volume_t`. Default `period = 18`.
- Volume Zone Oscillator (`Vzo`): Walid Khalil's normalised volume-flow
  oscillator bounded in `[-100, +100]`, defined as
  `100 * EMA(signed_volume) / EMA(volume)`.
- Market Facilitation Index (`MarketFacilitationIndex`): Bill Williams'
  per-bar `(high - low) / volume`. Returns `None` on zero-volume bars.

All six indicators ship with unit tests (`rejects_zero_period` where
applicable, `accessors_and_metadata`, constant-series behaviour,
batch == streaming equivalence, reset semantics, and reference-value
or saturation-extreme tests), Python / Node / WASM bindings, fuzz
coverage in `indicator_update_candle`, a `bench_candle_input` line per
indicator, README + CHANGELOG entries, and Python reference-value
tests in `test_new_indicators.py`.

The README indicator counter advances 75 -> 81.

* test(family-07): cover defensive cold paths + Default impls

- ad_oscillator: exercise `value()` after first emission.
- kvo: cover the `cm == 0.0` zero-OHLC defensive branch.
- nvi / pvi: exercise the Default impls.
2026-05-25 19:15:22 +02:00
kingchenc 6287bd48c1 feat: Family 06 Trend-Strength - 5 new directional/random-walk indicators (#44)
* feat(adxr): add Wilder Average Directional Movement Index Rating

ADXR is the trend-strength smoother Wilder published alongside ADX in
*New Concepts in Technical Trading Systems* (1978):

    ADXR_t = (ADX_t + ADX_{t - (period - 1)}) / 2

The lookback length is the same period that feeds the underlying ADX.
Because the older ADX is period - 1 bars stale, ADXR responds more
slowly than ADX and is the canonical metric for comparing
trend-strength across instruments.

Implementation reuses the existing wickra_core::Adx engine plus a
period-length ring of past ADX values; warmup is 3 * period - 1
(41 for period = 14). Bindings: Python PyAdxr (PyArray1 batch),
Node AdxrNode (number scalar), WASM WasmAdxr. Fuzz target covers
the candle-input path. Python + Node streaming-vs-batch tests
parametrised, plus a pure-uptrend reference value (ADXR == 100
when ADX saturates at 100). Criterion bench added under crates/
wickra/benches/indicators.rs.

README family table and indicator counter updated (71 -> 72).

* feat(rwi): add Mike Poulos Random Walk Index

RWI compares actual price displacement to what a random walk would
produce over the same horizon: for each lookback i in [2, period],

    RWI_High_t(i) = (high_t - low_{t-i+1}) / (ATR_i(t) * sqrt(i))
    RWI_Low_t(i)  = (high_{t-i+1} - low_t) / (ATR_i(t) * sqrt(i))

Per-bar output is the maximum across lookbacks for each direction;
a reading > 1 means the trend beats random-walk noise, > 2 is the
typical strong-trend threshold. Multi-output (high, low). period
must be >= 2 (the shortest meaningful lookback); period < 2 returns
InvalidPeriod. Warmup = period (e.g. 14 for the standard default).

Bindings: Python PyRwi (PyArray2 shape (n, 2)), Node RwiNode +
RwiValue struct, WASM WasmRwi (Object/Reflect for update,
Float64Array interleaved for batch). Fuzz target adds the candle
input case. Python parametric streaming-vs-batch test and pure
uptrend reference test (RWI_High dominates RWI_Low and exceeds 1).
Node parametric streaming-vs-interleaved-batch test. Criterion
bench under crates/wickra/benches/indicators.rs.

README family table and indicator counter updated (72 -> 73).

* feat(tii): add M.H. Pee Trend Intensity Index

TII is a [0, 100] oscillator that asks 'what fraction of the recent
SMA deviations are positive?'. The construction is

    dev_t  = close_t - SMA(close, sma_period)_t
    SD_pos = sum of positive dev_t over the last dev_period bars
    SD_neg = sum of |negative dev_t| over the last dev_period bars
    TII    = 100 * SD_pos / (SD_pos + SD_neg)

Saturates at 100 on a pure uptrend (every close above the lagging
SMA), at 0 on a pure downtrend, and returns the neutral mid-point 50
on a perfectly flat window. The output is clamped to [0, 100] as
the rolling-sum subtraction loop can accumulate a few ULP of error
on long histories. Canonical Pee parameters (sma_period=60,
dev_period=30) wired as Python defaults; warmup is
sma_period + dev_period - 1 (89 for the defaults).

Bindings: Python PyTii (PyArray1 batch), Node TiiNode (scalar
update + batch), WASM WasmTii via the two-arg wasm_scalar_indicator!
macro. Fuzz target adds the scalar path. Python parametric
streaming-vs-batch test plus pure-uptrend (TII == 100) and
flat-market (TII == 50) reference tests. Node parametric
streaming-vs-batch test. Criterion bench under crates/wickra/
benches/indicators.rs.

README family table and indicator counter updated (73 -> 74).

* feat(kst): add Pring Know Sure Thing oscillator

KST is Martin Pring's long-horizon momentum gauge: four smoothed
rate-of-change components combined with fixed weights (1, 2, 3, 4),
plus an SMA signal line.

    RCMA_i = SMA(ROC(close, roc_i), sma_i)        for i in 1..=4
    KST    = 1*RCMA_1 + 2*RCMA_2 + 3*RCMA_3 + 4*RCMA_4
    Signal = SMA(KST, signal_period)

Kst::classic() exposes Pring's recommended parameter set
(roc = (10, 15, 20, 30), sma = (10, 10, 10, 15), signal = 9);
warmup = max(roc_i + sma_i) + signal_period - 1 (53 for the classic
parameters). All four parallel branches are fed unconditionally so
they warm in lock-step.

Bindings: Python PyKst (PyArray2 shape (n, 2)) with a KST.classic()
staticmethod, Node KstNode + KstValue with a KST.classic() factory,
WASM WasmKst with both new(...) and classic() constructors plus
Object/Reflect for update and Float64Array for batch. Fuzz target
adds the scalar multi-output path. Python tests gain a new
MULTI_SCALAR section parametric over scalar-input/multi-output
indicators, plus a classic-on-constant-series reference test. Node
tests gain a KST entry in the multi-output section. Criterion
benchmark added under crates/wickra/benches/indicators.rs.

README family table and indicator counter updated (74 -> 75).

* feat(wave-trend): add LazyBear Wave Trend Oscillator

Two-line mean-reverting momentum gauge built from the typical price
and three cascaded EMAs:

    ap   = (high + low + close) / 3
    esa  = EMA(ap, channel_period)
    d    = EMA(|ap - esa|, channel_period)
    ci   = (ap - esa) / (0.015 * d)
    wt1  = EMA(ci, average_period)
    wt2  = SMA(wt1, signal_period)

WaveTrend::classic() exposes LazyBear's defaults
(channel = 10, average = 21, signal = 4); warmup is
2 * channel_period + average_period + signal_period - 3 (42 for the
classic defaults). On a perfectly flat market the SMA-seeded EMA
introduces a single-ULP drift between ap and esa, which on a tiny d
would make the ratio explode to -1/0.015 = -66.67; a price-scaled
flat-tolerance guard (d <= 16 * EPSILON * max(|esa|, 1)) collapses
the channel index to 0 in that regime so both lines remain at zero.

Bindings: Python PyWaveTrend (PyArray2 shape (n, 2)) with a
WaveTrend.classic() staticmethod, Node WaveTrendNode + WaveTrendValue
with a WaveTrend.classic() factory, WASM WasmWaveTrend with both
new(...) and classic() constructors. Fuzz target adds the candle
multi-output path (sorted alphabetically). Python parametric
streaming-vs-batch test plus a flat-market reference test. Node
parametric streaming-vs-interleaved-batch test. Criterion bench
under crates/wickra/benches/indicators.rs.

README family table and indicator counter updated (75 -> 76).

* fix(family-06): re-add KST::classic() factory + drop dup fuzz block

Family-06 PR's tests call ta.KST.classic() / wickra.KST.classic() — main's
KST binding shipped without the static factory. Add classic() in Python
(staticmethod) and Node (napi factory); WASM already had it. Also drop the
duplicate Kst::classic().unwrap() block in fuzz/indicator_update.rs that
the merge left behind (main's API no longer returns Result).

* test(rwi): drop dead count==0 guard

The loop `for i in 2..=period` makes `count = tr_end - tr_start = i - 1`
which is always >= 1, so the `if count == 0 { continue; }` branch was
unreachable defensive code that codecov flagged on the family-06 PR.
2026-05-25 19:00:13 +02:00
kingchenc 54194a4ff8 feat: Family 05 Bands & Channels - 11 new price-envelope indicators (#43)
* feat(bands-channels): add Family 05 with 11 indicators

Eleven price-envelope overlays organised into a new "Bands & Channels"
family, exposed across all four bindings (Rust core, Python, Node, WASM)
plus fuzz/test/bench/docs coverage:

- MaEnvelope - SMA centerline with fixed-percent envelope (the oldest
  band overlay still in regular use).
- AccelerationBands (Price Headley) - momentum-biased bands that widen
  with the bar's relative range (H - L) / (H + L).
- StarcBands (Stoller Average Range Channel) - SMA(close) +/- k*ATR;
  Keltner's SMA-centerline sibling.
- AtrBands - close-anchored envelope of width k*ATR; the standard
  volatility-targeting stop/target band.
- HurstChannel - SMA centerline wrapped by the rolling high-low range
  (Brian Millard / Hurst-cycle channel).
- LinRegChannel - rolling OLS endpoint +/- k * population stddev of the
  residuals; dispersion about the trend rather than the mean.
- StandardErrorBands - regression line +/- k * OLS standard error
  (denominator n - 2) for prediction-interval bands.
- DoubleBollinger (Kathy Lien) - two concentric BB envelopes
  (typically +/- 1 sigma and +/- 2 sigma) for the zone-partition setup.
- TtmSqueeze (John Carter) - BB-inside-KC squeeze flag paired with a
  detrended-close linear-regression momentum reading.
- FractalChaosBands - Bill Williams 5-bar fractal high/low envelope.
- VwapStdDevBands - cumulative VWAP with volume-weighted population
  standard deviation bands.

Each indicator ships:
- Core impl with the full Indicator trait, classic() where applicable,
  and unit tests (rejects_zero_period / multiplier, accessors, flat
  market, monotonic ordering, batch == streaming, reset, plus
  algebraically verifiable reference values).
- Python PyO3 binding with multi-column NumPy batch (PyArray2).
- Node napi binding with #[napi(object)] struct + interleaved flat
  batch.
- WASM wasm-bindgen binding via Object/Reflect for update +
  Float64Array for batch.
- Fuzz coverage in fuzz_targets/indicator_update{,_candle}.rs.
- Python streaming-vs-batch parametric test + reference test.
- Node streaming-vs-interleaved-batch test + reference test.
- Criterion microbench under crates/wickra/benches/indicators.rs.

README family table, README indicator-count line, and CHANGELOG
Unreleased entry updated: indicator total rises from 71 to 82 across
nine families. Wiki pages are updated in a separate commit in the
wickra.wiki repo.

* test(acceleration-bands): cover sum_hl==0 zero-price guard

Exercises line 104 (`0.0` branch of the `sum_hl == 0.0` guard) which
was the last patch-coverage miss on the family-05 PR. `Candle::new`
accepts a fully-zero bar so the branch is reachable in principle —
add a degenerate-candle unit test to hit it.
2026-05-25 18:37:12 +02:00
kingchenc 3ea0f12b7a feat: Family 04 Volatility — RVI / Parkinson / Garman-Klass / Rogers-Satchell / Yang-Zhang (#42)
* feat(rvi): add Relative Volatility Index

Donald Dorsey's RSI-shaped volatility gauge. Partitions the rolling
population standard deviation of close into "up" samples (close rose
since the previous bar) and "down" samples (close fell), Wilder-smooths
each side, and reports 100 * AvgUp / (AvgUp + AvgDown). Output bounded
on [0, 100]; saturates at 100 in pure uptrends, 0 in pure downtrends,
and falls back to 50 on a completely flat series (same undefined-RS
convention as RSI).

Single period parameter (default 10) drives both the stddev window and
the Wilder smoothing constant. First emit lands at index 2*period - 2
(2*period - 1 bars are needed: period to fill the stddev window plus
period - 1 to seed the Wilder averages, overlapping by one bar).

Touchpoints: rvi.rs + mod.rs + lib.rs re-export, PyRvi + __init__.py +
test_new_indicators SCALAR + test_known_values uptrend reference,
RviNode + index.d.ts/index.js + indicators.test.js factory +
reference, WasmRvi via scalar macro, scalar-fuzz target, bench_scalar
entry, README + CHANGELOG.

* feat(parkinson): add Parkinson Volatility

Michael Parkinson's (1980) high-low realised volatility estimator.
Under a driftless Geometric-Brownian-Motion assumption, the extreme
range of a bar carries roughly 5x the variance information of the
close-to-close estimator, so for a given statistical efficiency
Parkinson needs five times fewer samples.

Formula:
    sigma^2 = (1 / (4n * ln 2)) * Sum_{i=1..n} (ln(H_i / L_i))^2
    out     = sqrt(sigma^2) * sqrt(trading_periods) * 100

The output is annualised to a percent in the same style as
HistoricalVolatility (pass `trading_periods = 1` for the raw per-bar
sigma * 100 figure). Two parameters: `period` (default 20) for the
rolling window, `trading_periods` (default 252) for the annualisation
factor. First emit at index `period - 1`.

Touchpoints: parkinson.rs + mod.rs + lib.rs re-export,
PyParkinsonVolatility + __init__.py + test_new_indicators CANDLE_SCALAR
+ test_known_values zero-range reference, ParkinsonVolatilityNode +
index.d.ts/index.js + indicators.test.js factory + reference,
WasmParkinsonVolatility hand-rolled, candle-fuzz target,
bench_candle_input entry, README + CHANGELOG.

* feat(garman-klass): add Garman-Klass Volatility

Garman & Klass (1980) OHLC realised-volatility estimator. Extends
Parkinson's high-low estimator with an open-to-close term, lifting
statistical efficiency from ~5x to ~7.4x relative to close-to-close
stddev under driftless Geometric Brownian Motion.

Formula (per bar):
    s_t  = 0.5 * (ln(H_t / L_t))^2 - (2*ln(2) - 1) * (ln(C_t / O_t))^2
    out  = sqrt(max(mean(s_t over `period`), 0)) * sqrt(trading_periods) * 100

The per-bar sample can be marginally negative when the bar has a small
range relative to its open-to-close move; a max(., 0) clamp on the
rolling mean absorbs that and the FP cancellation noise before the
square root.

Still biased on data with meaningful overnight drift -- use Yang-Zhang
when gaps matter. Defaults: `period = 20`, `trading_periods = 252`
(annualised percent, same convention as HistoricalVolatility).

Touchpoints: garman_klass.rs + mod.rs + lib.rs re-export,
PyGarmanKlassVolatility + __init__.py + test_new_indicators
CANDLE_SCALAR + test_known_values zero-movement reference,
GarmanKlassVolatilityNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmGarmanKlassVolatility hand-rolled,
candle-fuzz target, bench_candle_input entry, README + CHANGELOG.

* feat(rogers-satchell): add Rogers-Satchell Volatility

Rogers, Satchell & Yoon (1994) OHLC realised-volatility estimator.
Unlike Garman-Klass, the per-bar sample is exact under arbitrary
Brownian drift -- the drift component cancels algebraically.

Formula (per bar):
    s_t  = ln(H_t / C_t) * ln(H_t / O_t) + ln(L_t / C_t) * ln(L_t / O_t)
    out  = sqrt(max(mean(s_t over `period`), 0)) * sqrt(trading_periods) * 100

Each per-bar sample is also non-negative by construction: with
`Candle::new` guaranteeing H >= max(O, L, C) and L <= min(O, H, C), the
four log factors have predictable signs (ln(H/.) >= 0, ln(L/.) <= 0),
so both products contribute >= 0. The max(., 0) clamp on the rolling
mean is only there to absorb FP cancellation.

Defaults: `period = 20`, `trading_periods = 252` (annualised percent,
same convention as HistoricalVolatility / Parkinson / Garman-Klass).

Touchpoints: rogers_satchell.rs + mod.rs + lib.rs re-export,
PyRogersSatchellVolatility + __init__.py + test_new_indicators
CANDLE_SCALAR + test_known_values zero-movement reference,
RogersSatchellVolatilityNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmRogersSatchellVolatility hand-rolled,
candle-fuzz target, bench_candle_input entry, README + CHANGELOG.

* feat(yang-zhang): add Yang-Zhang Volatility

Yang & Zhang (2000) drift- and gap-robust OHLC realised-volatility
estimator. Combines three independent components into a single estimate
with minimum variance:

    overnight    = sample_var(ln(O_t / C_{t-1}))   over n bars  (close-to-open)
    open_close   = sample_var(ln(C_t / O_t))       over n bars
    rs           = mean(ln(H/C)*ln(H/O) + ln(L/C)*ln(L/O)) over n bars
    sigma^2_YZ   = overnight + k*open_close + (1-k)*rs
    k            = 0.34 / (1.34 + (n+1)/(n-1))
    out          = sqrt(max(sigma^2_YZ, 0)) * sqrt(trading_periods) * 100

The overnight and open-to-close variances use Bessel's correction (the
sample estimator, divisor n-1), same convention as
HistoricalVolatility. The blending factor `k` is the one that
minimises estimator variance under driftless Geometric Brownian Motion
with overnight gaps.

This is the gold-standard OHLC estimator for assets with both
close-to-open gaps and intraday drift: equities, futures, and any
market that does not trade continuously. For pure intraday data (where
O_t == C_{t-1} and the open-to-close return is constant), the
overnight and open-close terms vanish and the estimator collapses to
(1-k) * Rogers-Satchell -- this is the indicator's
intraday_data_collapses_to_rs_only unit test.

Period >= 2 (Bessel correction needs >= 2 samples). First emit at
index `period` (the (period+1)-th bar): one bar seeds prev_close, the
next `period` fill the rolling windows. Defaults: `period = 20`,
`trading_periods = 252`.

Touchpoints: yang_zhang.rs + mod.rs + lib.rs re-export,
PyYangZhangVolatility + __init__.py + test_new_indicators
CANDLE_SCALAR + test_known_values zero-movement reference,
YangZhangVolatilityNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmYangZhangVolatility hand-rolled, candle-fuzz
target, bench_candle_input entry, README + CHANGELOG.

* fix(rvi): rename to RviVolatility to avoid clash with family-02 RVI

Family 02 (PR #40) ships a separate `Rvi` struct for Relative Vigor
Index. The two indicators have nothing to do with each other beyond
sharing the acronym, so disambiguate by giving the volatility one a
longer name everywhere:

- Rust crate: `Rvi`        -> `RviVolatility`
- Rust file:  `rvi.rs`     -> `rvi_volatility.rs`
- Python:     `RVI`        -> `RVIVolatility`
- Node:       `RVI`        -> `RVIVolatility`
- WASM:       `RVI`        -> `RVIVolatility`

Once the two PRs are both merged, callers get `wickra::Rvi` for Vigor
and `wickra::RviVolatility` for Volatility. The shorter `RVI` acronym
stays with the Momentum family per the existing wiki pages and the
implementation that shipped first.

Updates: rvi_volatility.rs (renamed), mod.rs, lib.rs re-export,
bindings/python/src/lib.rs + __init__.py + tests, bindings/node/src/lib.rs
+ index.d.ts + index.js + __tests__, bindings/wasm/src/lib.rs,
fuzz/fuzz_targets/indicator_update.rs, crates/wickra/benches/indicators.rs,
README family-table label, CHANGELOG entry.

* test(volatility): Rename test_rvi -> test_rvi_volatility + drop dead match arms

The Python test test_rvi_pure_uptrend_saturates_at_one_hundred was
calling ta.RVI() expecting the volatility version, but ta.RVI now
means Family 02's Relative Vigor Index (candle input). Renamed to
ta.RVIVolatility to match the binding rename done at merge time.

In all four OHLC volatility tests, the existing `match (r, a) { ...,
_ => panic!() }` arm is dead in passing runs (every aligned pair is
either (None, None) or (Some, Some)). Codecov flagged it as a patch
miss on each of parkinson / garman_klass / rogers_satchell /
yang_zhang. Refactored per CLAUDE.md cold-path guidance to
`assert_eq!(r.is_some(), a.is_some()); if let (Some, Some) ...`.
2026-05-25 18:18:20 +02:00
kingchenc d9d3ad18aa feat: Family 03 MACD & Price Oscillators — APO / AO-Hist / CFO / Zero-Lag MACD / Elder Impulse / STC (#41)
* feat(apo): add Absolute Price Oscillator

EMA(close, fast) - EMA(close, slow). Like MACD without the signal EMA.
Defaults to (fast = 12, slow = 26); fast must be strictly less than
slow.

Touchpoints: apo.rs + mod.rs + lib.rs re-export, PyApo + __init__.py
+ test_new_indicators SCALAR + test_known_values flat reference,
ApoNode + index.d.ts/index.js + indicators.test.js factory + reference,
WasmApo via scalar macro, scalar-fuzz target, README + CHANGELOG.

* fix(apo): add PyApo + ApoNode + WasmApo bindings missed from ec269d8

The previous APO commit (ec269d8) only registered APO in the Python
__init__.py / Node index.js / Node index.d.ts / fuzz / tests / docs.
The actual PyApo pyclass, ApoNode napi class, and WasmApo wasm class
edits silently no-op'd because the underlying lib.rs files had been
touched by a branch switch between Read and Edit. The bindings were
therefore advertising APO from the Python module / Node package /
WASM module but not actually exposing it.

Fix: insert PyApo block + add_class call in bindings/python/src/lib.rs,
ApoNode block in bindings/node/src/lib.rs, WasmApo macro line in
bindings/wasm/src/lib.rs. cargo test workspace stays at 615 (no new
tests added; the existing test_known_values + indicators.test.js
references would have failed at import once the bindings rebuilt
without these classes).

* feat(ao-histogram): add Awesome Oscillator Histogram

AO - SMA(AO, sma_period). A configurable variant of the existing
AcceleratorOscillator (which fixes fast=5, slow=34, sma=5).
Three parameters; defaults match Bill Williams' Accelerator.

Touchpoints: awesome_oscillator_histogram.rs + mod.rs + lib.rs
re-export, PyAoHist + __init__.py + test_new_indicators CANDLE_SCALAR
+ test_known_values flat reference, AwesomeOscillatorHistogramNode +
index.d.ts/index.js + indicators.test.js factory + reference,
WasmAoHist, candle-fuzz target, README + CHANGELOG.

* feat(cfo): add Chande Forecast Oscillator

100 * (close - LinReg(close, period)) / close. Positive when close
overshoots the linear forecast, negative when it undershoots. Holds
the previous value if the close is zero (percentage form undefined).
Single param period (default 14).

Touchpoints: cfo.rs + mod.rs + lib.rs re-export, PyCfo + __init__.py
+ test_new_indicators SCALAR + test_known_values linear reference,
CfoNode + index.d.ts/index.js + indicators.test.js factory + reference,
WasmCfo via scalar macro, scalar-fuzz target, README + CHANGELOG.

* fix(cfo): add WasmCfo binding missed from 733afd9

* feat(zero-lag-macd): add Zero-Lag MACD

Classic MACD topology with ZLEMA substituted for EMA everywhere:
faster reaction to trend changes at the cost of slightly noisier
readings. Multi-output ZeroLagMacdOutput { macd, signal, histogram }.
Three parameters (fast = 12, slow = 26, signal = 9); fast must be
strictly less than slow.

Touchpoints: zero_lag_macd.rs + mod.rs + lib.rs re-export, PyZeroLagMacd
+ __init__.py + test_new_indicators MULTI + test_known_values flat
reference, ZeroLagMacdNode + ZeroLagMacdValue + index.d.ts/index.js +
indicators.test.js multi factory + reference, WasmZeroLagMacd, scalar
fuzz with hand-rolled drive (multi-output bypasses the f64-only
helper), README + CHANGELOG.

* feat(elder-impulse): add Alexander Elder Impulse System

Tri-state momentum gauge: +1 (green/buy) when EMA trend and MACD
histogram both rise, -1 (red/sell) when both fall, 0 (blue/neutral)
on disagreement. Four parameters (ema_period, macd_fast, macd_slow,
macd_signal); defaults (13, 12, 26, 9) match Elder.

Internally feeds both branches on every input so they warm in parallel;
needs one bar past the slowest branch to seed direction state.

Touchpoints: elder_impulse.rs + mod.rs + lib.rs re-export, PyElderImpulse
+ __init__.py + test_new_indicators SCALAR + test_known_values neutral
reference, ElderImpulseNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmElderImpulse via scalar macro, scalar-fuzz
target, README + CHANGELOG.

* feat(stc): add Schaff Trend Cycle

Doug Schaff's doubly-Stochastic-smoothed MACD. Bounded [0, 100]
reading that reacts faster than MACD by extracting the percentile of
MACD within a recent window, half-EMA-smoothing it, and re-stochasing
the smoothed series. Four parameters (fast = 23, slow = 50,
schaff_period = 10, factor = 0.5); fast must be strictly less than
slow and factor must lie in (0, 1].

Output clamped to [0, 100] to absorb floating-point rounding. The
stochastic stages clamp to 0 when their rolling range collapses (flat
input or perfectly monotone trend), so a flat series settles
deterministically at 0 after warmup.

Touchpoints: stc.rs + mod.rs + lib.rs re-export, PyStc + __init__.py
+ test_new_indicators SCALAR + test_known_values flat reference,
StcNode + index.d.ts/index.js + indicators.test.js factory + reference,
WasmStc via scalar macro, scalar-fuzz target, README + CHANGELOG.

* fix(stc): rename last_stc -> last_value to satisfy clippy

* ci: Retry setup-node and setup-python on CDN flakes

Setup-node on Windows runners and setup-python across all OSes
occasionally fail with a silent hang or 5xx mid-download ("Attempting
to download 18..." → fail in <1s) — pure upstream CDN flake. The fix
ran on this branch's previous merge commit (24e723f) had to be
re-triggered manually via `gh run rerun --failed`.

Wrap both setup actions with continue-on-error and a follow-up retry
step that waits 30s and re-runs the same setup. The retry only fires
when the first attempt failed (steps.<id>.outcome == 'failure'), so a
green setup costs nothing extra. The retry uses the identical pinned
SHA so we still get supply-chain verification on both attempts.

Applied to ci.yml (Python matrix and Node matrix). release.yml has
the same setup-node / setup-python steps but is rarely re-run, so
the existing manual rerun pattern stays sufficient for now.

* test(zero-lag-macd): Fix MULTI dict shape mismatch + cover warmup_period

ZeroLagMACD was registered in the Python MULTI dict (which asserts a
(n, 2) batch shape) but actually emits (n, 3) — macd, signal,
histogram — like MACD. Moved out into its own standalone test
test_zero_lag_macd_streaming_matches_batch (3-tuple shape), and
included in the lifecycle sweep. Mirrors the existing Alligator
pattern for 3-output candle indicators.

Also adds a unit test for ZeroLagMacd::warmup_period that pins both
the (12, 26, 9) classic case and a small-period config — these four
lines were the codecov/patch miss on PR 41.
2026-05-25 17:26:46 +02:00
kingchenc 7f1a6df202 ci(sync-about): Push counter fix to PR branch instead of main (#56)
Previously the workflow patched README.md on main after every push,
producing an unsigned 'chore: sync indicator count' commit per merge.
Now the README counter is kept in sync on the PR side instead: on
every pull_request event, the workflow checks out the PR's head ref,
compares grep -c '^mod ' to the README counter, and if they differ,
pushes a fix-up commit back onto the PR branch using the default
GITHUB_TOKEN.

When the PR is squash-merged, that fix-up commit is folded into the
single web-flow-signed merge commit on main — so main's history never
shows a separate bot commit. About description and Wiki sync still
run on push to main / v* tags via the existing PAT, since both reach
outside the main repo (Administration:write and the .wiki repo).

For PRs from forks the workflow cannot push back; it emits a hard
::error:: pointing at README.md so the contributor can fix the
counter manually.

Pushes via GITHUB_TOKEN do not re-trigger downstream workflows
(GitHub's anti-recursion policy), so the fix-up commit costs zero
extra CI minutes — only sync-about itself re-runs on the next
synchronize event and no-ops once the counter matches.
2026-05-25 17:22:38 +02:00
wickra-bot 1ea05fb2a1 chore: sync indicator count to 85 [skip ci] 2026-05-25 13:29:06 +00:00
kingchenc 24e723fa7d feat: Family 02 Momentum Oscillators — RVI / PGO / KST / SMI / Laguerre / Connors / Inertia (#40)
* feat(rvi): add Relative Vigor Index

Dorsey's RVI = SMA(close - open, period) / SMA(high - low, period) over
a rolling window of period candles. Candle input, single parameter
period (default 10). Positive on average-bullish windows, negative on
average-bearish. Holds the previous value if the entire window has
zero range (denominator undefined).

Reference: Donald Dorsey, also pandas-ta rvi.

Touchpoints: rvi.rs + mod.rs + lib.rs re-export, PyRvi + __init__.py
+ test_new_indicators CANDLE_SCALAR + test_known_values reference,
RviNode (4-column OHLC batch) + index.d.ts/index.js + indicators.test
.js factory + reference, WasmRvi + make_candle_ohlc helper, candle-fuzz
target + criterion bench, README + CHANGELOG.

* feat(pgo): add Pretty Good Oscillator

Mark Johnson's PGO = (close - SMA(close, period)) / EMA(TR, period).
Counts roughly how many ATR-equivalents the close sits from its
period-bar mean. Candle input, single parameter period (default 14).
Johnson's heuristic uses +3/-3 crossings as entry signals.

Touchpoints: pgo.rs + mod.rs + lib.rs re-export, PyPgo + __init__.py
+ test_new_indicators CANDLE_SCALAR + test_known_values flat-close
reference, PgoNode (h/l/c) + index.d.ts/index.js + indicators.test.js
factory + reference, WasmPgo, candle-fuzz target + bench, README +
CHANGELOG.

* feat(kst): add Know Sure Thing (Pring)

Pring's long-horizon momentum oscillator: weighted sum of four
SMA-smoothed ROC series with fixed weights 1, 2, 3, 4, plus an SMA
signal line. Nine parameters (four ROC periods, four SMA periods, one
signal period); classic() applies Pring's recommended defaults.
Multi-output indicator emitting KstOutput { kst, signal }.

Touchpoints: kst.rs + mod.rs + lib.rs re-export, PyKst + __init__.py
+ test_new_indicators MULTI + test_known_values flat-input reference,
KstNode + KstValue + index.d.ts/index.js + indicators.test.js multi
factory + reference, WasmKst (manual JsValue object), scalar-fuzz
target (handled outside the f64-output drive helper), README +
CHANGELOG.

* feat(smi): add Stochastic Momentum Index (Blau)

Blau's doubly-EMA-smoothed bounded oscillator: measures the close's
displacement from the centre of the recent high-low range, scaled by
the smoothed range. Candle input, three parameters (period, d_period,
d2_period) with defaults 5 / 3 / 3.

Internally feeds both the displacement-EMA stack and the range-EMA
stack on every candle so they warm up in parallel (gating either
behind the other starves the second by one input).

Touchpoints: smi.rs + mod.rs + lib.rs re-export, PySmi + __init__.py
+ test_new_indicators CANDLE_SCALAR + test_known_values flat-input
reference, SmiNode + index.d.ts/index.js + indicators.test.js factory
+ reference, WasmSmi, candle-fuzz target, README + CHANGELOG.

* feat(laguerre-rsi): add Ehlers Laguerre RSI

Four-stage Laguerre polynomial filter wrapped in an RSI-style up/down
accumulator. Single gamma in [0, 1] (default 0.5) trades lag for
smoothness. State is seeded by setting all four L_i to the first input
so a constant series stays at the neutral 50. Output clamped to
[0, 100] to absorb floating-point rounding.

Reference: Ehlers, Time Warp - Without Space Travel, 2002.

Touchpoints: laguerre_rsi.rs + mod.rs + lib.rs re-export, PyLaguerreRsi
+ __init__.py + test_new_indicators SCALAR + test_known_values neutral
reference, LaguerreRsiNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmLaguerreRsi via scalar macro, scalar-fuzz
target, README + CHANGELOG.

* feat(connors-rsi): add Connors RSI (CRSI)

Larry Connors' 3-component aggregate: RSI(close), RSI(streak), and
PercentRank of the 1-period return over the last period_rank returns.
Each component is bounded in [0, 100] so the aggregate is too.
Three parameters (period_rsi, period_streak, period_rank) with
defaults 3 / 2 / 100. Streak tracks consecutive up/down runs (resets
to 0 on unchanged close).

Touchpoints: connors_rsi.rs + mod.rs + lib.rs re-export, PyConnorsRsi
+ __init__.py + test_new_indicators SCALAR + test_known_values bounded
reference, ConnorsRsiNode + index.d.ts/index.js + indicators.test.js
factory + reference, WasmConnorsRsi via scalar macro, scalar-fuzz
target, README + CHANGELOG.

* feat(inertia): add Dorsey Inertia (RVI + LinReg)

Donald Dorsey's Inertia — a LinearRegression smoothing of the RVI
series. Endpoint of an n-bar least-squares fit of RVI is the indicator
reading. Preserves trend direction while damping the ratio. Candle
input, two parameters (rvi_period, linreg_period) with defaults 14 / 20.

Touchpoints: inertia.rs + mod.rs + lib.rs re-export, PyInertia +
__init__.py + test_new_indicators CANDLE_SCALAR + test_known_values
constant reference, InertiaNode (4-column OHLC batch) + index.d.ts /
index.js + indicators.test.js factory + reference, WasmInertia,
candle-fuzz target, README + CHANGELOG.

* test(kst): Move KST out of MULTI dict (it is scalar-input)

KST sits in the MULTI dict (candle-input, multi-output) but its
update() takes a single f64, not a candle tuple. The shared streaming
loop in test_multi_streaming_matches_batch fed the OHLCV tuple in,
which crashed with `TypeError: argument 'value': must be real number,
not tuple` on every Python matrix entry.

Split into a new MULTI_SCALAR_INPUT dict with its own test function
that feeds the close-price stream as floats. KST is currently the
only such indicator; structure is ready for future scalar-input
multi-output additions (e.g. some MACD-shaped indicators).

* test(coverage): Cover SMI zero-range and ConnorsRsi zero-prev cold paths

codecov/patch on PR 40 flagged two uncovered defensive branches:
- SMI returns self.current early when the smoothed range collapses to
  zero (`r2 <= 0.0`) so the formula stays defined. Exercised by feeding
  bars where high == low.
- ConnorsRsi skips the ROC ring-buffer update when the previous price
  is exactly zero so the divide-by-zero in `(input - prev) / prev` is
  impossible. Exercised by seeding the first bar at 0.0.
2026-05-25 15:28:56 +02:00
wickra-bot a39adb9dae chore: sync indicator count to 78 [skip ci] 2026-05-25 13:08:09 +00:00
kingchenc 1cd5d1d8da fix(ci): Drop site/index.md from sync-about workflow (#55)
site/ is local-only (listed in .git/info/exclude), so the sed call in
the Patch step aborted the workflow on every push to main with
"sed: can't read site/index.md: No such file or directory". That kept
the README counter from being committed and skipped the wiki sync.

Patches README only now. site/ stays out of CI until the marketing
site is promoted.
2026-05-25 15:08:01 +02:00
kingchenc 466faddd87 feat: Family 01 Moving Averages — ALMA / McGinley / FRAMA / VIDYA / JMA / Alligator / EVWMA (#39)
* feat(alma): add Arnaud Legoux Moving Average

Gaussian-weighted moving average with configurable centre (offset in
[0, 1]) and kernel width (sigma > 0). Pre-computes normalised weights
at construction so each update is a single rolling window dot product.

Reference: Arnaud Legoux and Dimitrios Kouzis-Loukas, 2009.

Touchpoints:
- crates/wickra-core: alma.rs + mod.rs + lib.rs re-export
- bindings/python: PyAlma + __init__.py + test_new_indicators +
  test_known_values reference
- bindings/node: AlmaNode + index.d.ts/index.js + indicators.test.js
  factory + reference value
- bindings/wasm: wasm_scalar_indicator! macro
- fuzz: indicator_update target covers ALMA(9, 0.85, 6.0)
- crates/wickra/benches: bench_scalar entry
- README + CHANGELOG: Moving Averages row + Unreleased entry

* feat(mcginley): add McGinley Dynamic moving average

John McGinley's self-adjusting moving average with the recurrence
MD + (price - MD) / (0.6 * period * (price / MD)^4). Speeds up when
price falls below the indicator and damps when price runs above the
indicator. Seeded with the simple average of the first period inputs.

Reference: McGinley, Technical Analysis of Stocks & Commodities, 1990.

Touchpoints:
- crates/wickra-core: mcginley_dynamic.rs + mod.rs + lib.rs re-export
- bindings/python: PyMcGinleyDynamic + __init__.py + test_new_indicators
  + test_known_values reference
- bindings/node: McGinleyDynamicNode (scalar macro) + index.d.ts/index.js
  + indicators.test.js factory + reference value
- bindings/wasm: wasm_scalar_indicator! macro
- fuzz: indicator_update target covers McGinleyDynamic(10)
- crates/wickra/benches: bench_scalar entry
- README + CHANGELOG: Moving Averages row + Unreleased entry

* feat(frama): add Fractal Adaptive Moving Average

Ehlers' FRAMA adapts its smoothing constant to the fractal dimension of
the recent window: tight tracking in trends, heavy smoothing in chop.
Uses the close-only variant where max/min over each window half drive
the dimension estimate. Period must be even (default 16).

Reference: Ehlers, Fractal Adaptive Moving Average, 2005.

Touchpoints:
- crates/wickra-core: frama.rs + mod.rs + lib.rs re-export
- bindings/python: PyFrama + __init__.py + test_new_indicators +
  test_known_values reference (constant series + uptrend tracking)
- bindings/node: FramaNode (scalar macro) + index.d.ts/index.js +
  indicators.test.js factory + reference value
- bindings/wasm: wasm_scalar_indicator! macro
- fuzz: indicator_update target covers Frama(16)
- crates/wickra/benches: bench_scalar entry
- README + CHANGELOG: Moving Averages row + Unreleased entry

* feat(vidya): add Variable Index Dynamic Average

Chande's VIDYA — an EMA whose alpha scales with |CMO(cmo_period)| / 100.
Strong directional momentum lifts the smoothing constant toward the
EMA-of-period rate; flat or choppy windows shrink it toward zero so
VIDYA coasts on its previous value. Two parameters: period (14) and
cmo_period (9). Reuses the existing wickra-core Cmo internally.

Reference: Chande, Stocks & Commodities, 1992.

Also fixes a silent gap from d37fbd1 (feat(frama)): the PyFrama Python
class wrapper and its add_class registration were dropped because the
two edits hit "File has not been read yet" errors that scrolled past
in a batch. Adds them here alongside VIDYA's bindings.

Touchpoints (VIDYA): vidya.rs + mod.rs + lib.rs re-export, PyVidya +
__init__.py + test_new_indicators + test_known_values reference,
VidyaNode (manual two-param binding) + index.d.ts/index.js +
indicators.test.js factory + reference, wasm_scalar_indicator! macro,
fuzz target, bench, README + CHANGELOG.

* feat(jma): add Jurik Moving Average

Three-stage filter reconstruction of Mark Jurik's adaptive MA (the
algorithm is proprietary; this is the form used by most open-source
ports since the 1999 TASC article). Parameters: period (14), phase in
[-100, 100] (0), power in 1..=4 (2). State is seeded by setting
e0 = JMA = first input so a constant input stream is reproduced exactly.

Touchpoints: jma.rs + mod.rs + lib.rs re-export, PyJma + __init__.py +
test_new_indicators + test_known_values reference, JmaNode (manual
three-param binding) + index.d.ts/index.js + indicators.test.js factory
+ reference, wasm_scalar_indicator! macro, fuzz target, bench, README +
CHANGELOG.

* feat(alligator): add Bill Williams Alligator

Three SMMA lines (Jaw / Teeth / Lips) over the median price
(high + low) / 2 with default periods 13 / 8 / 5. Multi-output
indicator returning AlligatorOutput { jaw, teeth, lips }. The
original chart variant shifts each line forward for display; we
publish the unshifted SMMA values and leave the visual shift to
the consumer.

Reference: Bill Williams, Trading Chaos, 1995.

Touchpoints: alligator.rs + mod.rs + lib.rs re-export, PyAlligator
(Candle input, returns 3-tuple, ndarray (n, 3) batch) + __init__.py
+ test_new_indicators + test_known_values reference, AlligatorNode +
AlligatorValue + index.d.ts/index.js + indicators.test.js multi
factory + reference, WasmAlligator (manual JsValue object) +
candle-fuzz target + README + CHANGELOG.

* feat(evwma): add Elastic Volume-Weighted Moving Average

Christian P. Fries' elastic recurrence where the smoothing weight is the
bar's volume relative to the running window total:

  V_sum_t = sum of volumes over the last period candles
  EVWMA_t = ((V_sum_t - v_t) * EVWMA_{t-1} + v_t * close_t) / V_sum_t

A bar whose volume is small barely moves the average; a bar that
dominates the window pulls it strongly toward that bar's close. Seeded
with the close of the first full window; holds its previous value if
the entire window has zero volume.

Reference: Fries, Wilmott Magazine, 2001.

Touchpoints: evwma.rs + mod.rs + lib.rs re-export, PyEvwma (close +
volume batch) + __init__.py + test_new_indicators CANDLE_SCALAR +
test_known_values reference, EvwmaNode + index.d.ts/index.js +
indicators.test.js candleScalar factory + reference, WasmEvwma,
candle-fuzz target + README + CHANGELOG.

* ci: Force local wheel install in Python jobs

Use --no-index --no-deps so the Python matrix installs the freshly
built wheel from dist/ and never falls back to PyPI. Previously pip
sometimes picked the released 0.2.x wheel on macOS / Windows when its
platform tag was a wider match than the local build, which made the
job test the released package and miss any new symbols added in the
PR (e.g. AttributeError: module 'wickra' has no attribute 'ALMA').
numpy is already installed by the preceding pip step, so --no-deps
is safe.
2026-05-25 15:01:14 +02:00
kingchenc 178fbfd68e ci: Add sync-about workflow to auto-update indicator count (#38)
Counts `mod xxx;` declarations in crates/wickra-core/src/indicators/mod.rs
on every push to main, every PR, and every v* tag push. On non-PR runs
it syncs the count into:

- GitHub repo About description (via `gh repo edit`)
- README.md + site/index.md (commit with [skip ci] back to main)
- Wiki: Home.md, FAQ.md, Streaming-vs-Batch.md

Requires a `ABOUT_SYNC_TOKEN` secret (classic PAT with `repo` scope, or
fine-grained PAT with Administration+Contents write on the wickra repo).
PR runs are read-only: count is logged but nothing is mutated, so forks
cannot trigger writes.
2026-05-25 14:52:58 +02:00
kingchenc e30b3c6b35 release: 0.2.7 (Windows ARM64 restored + CPU label fix) (#37)
* chore(docs): rename benchmark CPU from 7950X3D to 9950X

The "Reproduced on" line in the umbrella + binding READMEs and the
benchmark page on the site listed the wrong AMD CPU. The benchmarks
were actually produced on a Ryzen 9 9950X, not a 7950X3D. Same
column for absolute µs values applies — the speedup ratios in the
tables are unchanged either way because they're relative across
libraries on the same machine.

The performance-regression issue template's CPU example also
updated for consistency (it was a generic placeholder, but matching
the canonical machine makes the example concrete).

* chore(npm): restore Windows ARM64 sub-package + napi matrix entry

npm Support unblocked the `wickra-win32-arm64-msvc` package name and
transferred write access to @kingchenc (placeholder 0.0.1-security
was published from their side; we ship our first real version on
top of that). This re-enables every change 8aa74cb temporarily
backed out for 0.2.1:

- bindings/node/package.json: re-add `aarch64-pc-windows-msvc` to
  napi.triples.additional and `wickra-win32-arm64-msvc` to
  optionalDependencies.
- bindings/node/npm/win32-arm64-msvc/package.json: restored — name,
  cpu = arm64, os = win32, version pinned to the workspace.
- .github/workflows/release.yml: re-enable the
  `windows-11-arm / aarch64-pc-windows-msvc` row in the node-build
  matrix and drop the "temporarily skipped" comment block.

After the next tag-push this binding will be published alongside
the other five platforms and `npm install wickra` on Windows ARM64
will resolve to a native build instead of failing the loader's
optional-dep lookup.

* release: bump workspace + bindings to 0.2.7

Workspace, every binding (Python, Node, six platform stubs incl. the
restored win32-arm64-msvc), and the CHANGELOG all move together to
0.2.7. wickra-win32-arm64-msvc is now part of the standard publish
matrix and will land on npm alongside the other five binaries.

The 0.2.7 CHANGELOG entry consolidates the two changes this cycle:
- Windows ARM64 binding restored (npm Support unblocked the name).
- Benchmark CPU label corrected (Ryzen 9 9950X, not 7950X3D).
2026-05-24 11:46:49 +02:00
kingchenc 070be2eb27 release: 0.2.6 (docs.rs fix + README table reordering) (#36)
* fix(docs-rs): rename `doc_auto_cfg` to `doc_cfg` after Rust 1.92 merge

`doc_auto_cfg` was removed in Rust 1.92.0 and folded back into
`doc_cfg` (rust-lang/rust#138907). docs.rs builds with the latest
nightly and sets `--cfg docsrs`, so the previous

    #![cfg_attr(docsrs, feature(doc_auto_cfg))]

aborts compilation with E0557 on every published 0.2.x. GitHub CI
never tripped this — stable rustc ignores the line because nothing
sets the `docsrs` cfg there.

Switch all three published library crates (`wickra`, `wickra-core`,
`wickra-data`) to the merged-into `doc_cfg` gate. Same intent, same
on-docs.rs output, builds again on nightly.

* docs(readme): float Wickra to the top of the comparison tables

Reorders the "Why Wickra exists" library-comparison table and the two
benchmark headers so Wickra is the first row (with a ★ marker) instead
of the last. The previous order placed Wickra at the bottom, which
buries the only row a reader landing on the README is here to compare
against. Same column data, same ★/winner annotations, just the row
order flipped and a ★ prefix on the Wickra label.

Mirrored across the umbrella README and every binding README so the
crates.io / PyPI / npm landing pages stay in sync.

* release: bump workspace + bindings to 0.2.6

Workspace, every binding (Python, Node, Node platform stubs), the
release.yml comment and the CHANGELOG all move together to 0.2.6 so
the next tagged release lines every artefact up.

0.2.6 carries two changes from the [0.2.6] CHANGELOG entry:
- fix(docs-rs): swap the now-removed `doc_auto_cfg` feature gate for
  the merged-into `doc_cfg` so docs.rs nightly builds resume.
- docs(readme): float ★ Wickra to the top of every comparison table
  across the umbrella + binding READMEs.

wickra-win32-arm64-msvc stays excluded for this release with the same
npm spam-filter rationale that held for 0.2.5.
2026-05-24 03:20:13 +02:00
kingchenc 221f7a71bc chore(github): add detailed issue & PR templates, capitalize title prefixes
Adds five new issue templates (bug_report_detailed, feature_request_detailed,
performance_regression, documentation, question) alongside the existing
short forms, plus an optional detailed PR template under
.github/PULL_REQUEST_TEMPLATE/ that contributors can opt into via the
?template=detailed.md URL. Existing templates keep their behavior; only
title prefixes and prose-paren wording were capitalized for consistency.
2026-05-24 02:33:01 +02:00
kingchenc b5afc0a7e7 release: bump workspace + bindings to 0.2.5 (#35)
Workspace, every binding (Python, Node, Node platform stubs), and the
release.yml comment are all updated together so the next tagged release
on `v0.2.5` lines every artefact up.

Also adds a short README "Disclaimer" section pointing out that Wickra
is an indicator toolkit, not a trading system, and that production
use is at the caller's own risk. The legal terms in LICENSE (PolyForm
Noncommercial 1.0.0, "No Liability") already cover the warranty / as-is
language — the README section just makes the trading-specific framing
visible without burying it in a click-through.

CHANGELOG carries the new 0.2.5 entry with the API addition
(`BinanceConfig` + `connect_with_config`) and the best-effort Pong
write change in `BinanceKlineStream::next_event`. wickra-win32-arm64-msvc
stays excluded for this release with the same npm-spam-filter rationale
that held for 0.2.1.
2026-05-24 02:16:40 +02:00
kingchenc 9acb2f607e test(binance): mock-WS suite drives async/reconnect paths to ~100% (#34)
* refactor(binance): introduce BinanceConfig for endpoint + timing knobs

Replaces the file-private READ_TIMEOUT / MAX_RECONNECT_ATTEMPTS / size
limit constants with a Default-equipped BinanceConfig the caller can hand
to a new connect_with_config(). connect() forwards to it with the
defaults, so the public API stays backwards-compatible.

Behaviour-preserving: every default matches the value of the constant it
replaces, and the WebSocketConfig is built the same way. The change
unlocks two real use-cases — pointing at Binance Testnet
(wss://testnet.binance.vision) and pointing at a local mock server with
millisecond-scale reconnect timing in tests.

* test(binance): cover the Interval table and the empty-symbol guard

Three quick wins that don't need a live or mock socket:
- interval_as_str_covers_every_variant pins every wire-format mapping in
  one table so a typo on any of the 14 variants is caught.
- binance_config_default_matches_production_endpoint guards the default
  base URL and timing knobs against an accidental drift.
- connect_rejects_an_empty_symbol_list exercises the guard before the
  WebSocket handshake — the one async path we can hit without a server.

* test(binance): cover the async / reconnect / control-frame paths

Adds a small mock-WebSocket scaffold built on a `127.0.0.1:0` listener
and tokio-tungstenite's `accept_async`, plus nine integration tests that
drive `BinanceKlineStream::next_event` through every branch:

- text + binary kline frames decode to a KlineEvent
- inbound Ping is answered with a Pong, then the kline arrives
- inbound Pong / Frame variants are silently skipped
- a server-side Close triggers a transparent reconnect that then
  serves the kline
- a stalled connection trips read_timeout and reconnects on its own
- close() flips the closed flag and next_event() yields None forever
- when every reconnect attempt is refused, next_event surfaces an Err
- a "kline" envelope whose numbers are unparseable bubbles up as
  Error::Malformed rather than being silently skipped

`one_shot_server` drops the listener as soon as the first accept is
done, so a follow-up reconnect lands on a refused port — that is what
lets the exhaustion test hit the final `last_err.expect(...)`.
The whole suite runs in ~4 s with millisecond-scale reconnect timings
supplied via the new test-only [`test_config`].

* test(binance): drop defensive cold-paths in the mock-WS scaffolding

Codecov's patch report on PR #34 flagged seven uncovered lines, all of
them in the test scaffolding rather than in production code:
- the `let Ok((stream, _)) = … else { return }` shortcut and the
  `if let Ok(ws) = accept_async(stream).await { … }` branch in the
  mock-server helpers — both error arms never fire on a passing test
- the closing braces of the spawned-task bodies in the close-frame and
  read-timeout reconnect tests — the spawned async blocks were getting
  killed mid-drain when the test asserted and returned

Refactor the helpers to `.unwrap()` every Result (a failure here is a
bug in the scaffold, not in production) and have `multi_shot_server`
accept a fixed `n_accepts`, await every spawned inner task, and hand
the outer JoinHandle back to the caller.

Refactor the two affected tests to capture that JoinHandle, collapse
the per-index `if/else` so both arms reach the same trailing
expression, swap the read-timeout drain for a bounded sleep, and
await `server_done` at the end. Every handler now reaches its closing
brace before the runtime is torn down, so coverage on the patch should
collapse from 97.89 % to 100 %.

* test(binance): cover the non-kline-skip path and simplify the Ping arm

After the scaffolding fix landed three lines on binance.rs were still
uncovered:
- L305 / L313: the Text- and Binary-arm "frame was not a kline, keep
  reading" fall-throughs. No existing test drove the loop through a
  non-kline frame followed by a kline; the new
  `next_event_skips_non_kline_frames_and_returns_the_next_kline` does
  exactly that (Text ack, Binary id frame, then a real kline).
- L317: the Ping-Err defensive arm that forced a reconnect when the
  Pong reply itself failed to write. A failed Pong reply means the
  socket is already dead, so the very next read will surface the error
  and reconnect through the existing timeout/err branch — one tokio
  scheduling iteration later. Drop the defensive arm and write the
  Pong reply best-effort. Same observable behaviour, no test back
  door, no dead-line guard.

Repo coverage on `cov/binance-mock-ws` now sits at 100 %.
2026-05-24 02:07:47 +02:00
kingchenc 32caf023dd test(psar): drop violation-tuple cold path in trend tests (99.03 -> 100) (#33)
After PR #27 brought psar.rs to 99.03 %, Codecov still flagged the
'violation found' tuple arms in the trend tests (line 256 in
pure_uptrend_sar_below_lows, line 285 in pure_downtrend_sar_above_highs)
as missed: both tests are designed to NEVER find a violation, so the
filter_map branch that constructs the (index, sar, bound) tuple is dead
by design.

Restructure both tests to use `.all(|(i, sar)| sar.is_none_or(|s|
<bound>))` instead of collecting violations into a Vec. The closure
runs on every emitted Some, asserts the SAR-vs-extreme bound directly,
and the iterator short-circuits on the first false — no cold tuple
construction left to count as uncovered. Semantics are identical (still
asserts every SAR sits on the correct side of every candle's extreme);
the diagnostic message loses the violating index list, which the tests
never printed in any green run anyway.

psar.rs is now at 207/207 lines, no behavioural change.
2026-05-24 01:31:20 +02:00
kingchenc 250b75d468 test: 100% coverage for balance_of_power + median_price + true_range + typical_price + weighted_close (#32)
* test(balance_of_power): cover name metadata

Codecov flagged 3 lines (file at 96.25%): Indicator-impl name body (73-75).

* test(median_price): cover name metadata

Codecov flagged 3 lines (file at 94.44%): Indicator-impl name body (62-64).

* test(true_range): cover name metadata

Codecov flagged 3 lines (file at 95.94%): Indicator-impl name body (73-75).

* test(typical_price): cover name metadata

Codecov flagged 3 lines (file at 94.44%): Indicator-impl name body (62-64).

* test(weighted_close): cover name metadata

Codecov flagged 3 lines (file at 94.44%): Indicator-impl name body (61-63).
2026-05-24 00:48:37 +02:00
kingchenc adc8488939 test: 100% coverage for ema + historical_volatility + kama + linreg_angle + mass_index (#24)
* test(ema): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/ema.rs
(file at 94.03%): const accessor period (74-77), Indicator-impl
warmup_period (123-125), name (131-133). ema.rs now at 151/151.

* test(historical_volatility): cover periods/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/historical_volatility.rs
(file at 93.87%): const accessors periods (80-83), value (85-88) and
Indicator-impl name (153-155). historical_volatility.rs now at 147/147.

* test(kama): cover periods accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/kama.rs
(file at 91.26%): accessor periods (65-67), Indicator-impl
warmup_period (115-117), name (123-125). kama.rs now at 103/103.

* test(linreg_angle): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/linreg_angle.rs
(file at 88.15%): const accessor period (50-52), Indicator-impl
warmup_period (67-69), name (75-77). linreg_angle.rs now at 76/76.

* test(mass_index): cover periods/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/mass_index.rs
(file at 91.42%): const accessors periods (80-82), value (85-87) and
Indicator-impl name (134-136). mass_index.rs now at 105/105.
2026-05-24 00:48:35 +02:00
kingchenc d55d3db3d1 test: 100% coverage for vertical_horizontal_filter + z_score + vpt + csv + adl (#31)
* test(vertical_horizontal_filter): cover period accessor + name metadata

Codecov flagged 6 lines (file at 94.44%): period (61-63) + name (119-121).

* test(z_score): cover period accessor + name metadata

Codecov flagged 6 lines (file at 93.75%): period (59-61) + name (106-108).

* test(vpt): cover value() Some branch, name, zero-prev fallback

Codecov flagged 5 lines (file at 94.38%): value() Some branch (57),
prev==0.0 ROC fallback (77), and Indicator-impl name (100-102).
Add accessors_and_metadata covering value()/name and zero_previous_
close_contributes_zero — feeding a 0.0 baseline + non-zero candle
proves the divide-by-zero guard yields a 0 contribution rather than NaN.

* test(csv): cover from_csv_reader + kill rejects_header dead panic arm

Codecov flagged 5 lines in csv.rs (file at 96.98%): from_csv_reader
(201-204) — never called by existing tests which use from_reader /
open — and the cold  arm in
rejects_header_missing_a_column (279). Add from_csv_reader_accepts_a_
prebuilt_reader (demonstrates the API by building a custom-delimited
csv::Reader and passing it in), and refactor the header-missing test
to use a single matches!() assertion so the panic arm is gone.

* test(adl): cover name metadata

Codecov flagged 3 lines (file at 96.84%): Indicator-impl name body (94-96).
2026-05-24 00:48:02 +02:00
kingchenc 512bbf75c4 test: 100% coverage for keltner + linreg + linreg_slope + macd + super_trend (#30)
* test(keltner): cover periods accessor + name metadata

Codecov flagged 6 lines (file at 95.23%): periods (68-70) + name (106-108).

* test(linreg): cover period accessor + name metadata

Codecov flagged 6 lines (file at 96.10%): period (92-94) + name (142-144).

* test(linreg_slope): cover period accessor + name metadata

Codecov flagged 6 lines (file at 95.91%): period (80-82) + name (125-127).

* test(macd): cover periods/value accessors + name metadata

Codecov flagged 6 lines (file at 95.45%): periods (81-83) + name (135-137).

* test(super_trend): cover params accessor + name metadata

Codecov flagged 6 lines (file at 96.36%): params (99-101) + name (176-178).
2026-05-24 00:47:59 +02:00
kingchenc 8f6ffe5a62 test: 100% coverage for chaikin_volatility + chande_kroll_stop + chandelier_exit + choppiness_index + force_index (#29)
* test(chaikin_volatility): cover periods accessor + name metadata

Codecov flagged 6 lines (file at 94.91%): periods (69-71) + name (99-101).

* test(chande_kroll_stop): cover params accessor + name metadata

Codecov flagged 6 lines (file at 95.45%): params (97-99) + name (164-166).

* test(chandelier_exit): cover params accessor + name metadata

Codecov flagged 6 lines (file at 95.12%): params (83-85) + name (128-130).

* test(choppiness_index): cover period accessor + name metadata

Codecov flagged 6 lines (file at 95.04%): period (73-75) + name (125-127).

* test(force_index): cover period accessor + name metadata

Codecov flagged 6 lines (file at 93.33%): period (58-60) + name (93-95).
2026-05-24 00:47:56 +02:00
kingchenc d9a1950007 test: 100% coverage for rsi + accelerator_oscillator + aroon + atr_trailing_stop + chaikin_oscillator (#28)
* test(rsi): cover period/value accessors, name, naive flat-series branch

Codecov flagged 7 lines in indicators/rsi.rs (file at 96.42%): const
accessors period (60-62), value (65-67), Indicator-impl name (145-147),
and line 167 in the test-helper rsi_naive's ag==0 fallback. The
proptest reference never lands on a fully flat series so the helper's
50.0 branch was dead.

Add accessors_and_metadata covering period/value/name and
naive_helper_flat_series_yields_50 driving rsi_naive on [42.0; 20] —
both avg_gain and avg_loss converge to 0, hitting the 50.0 branch.
rsi.rs now at 196/196.

* test(accelerator_oscillator): cover params accessor + name metadata

Codecov flagged 6 lines in indicators/accelerator_oscillator.rs (file
at 93.68%): const accessor params (69-71) and Indicator-impl name
(99-101). ac.rs now at 95/95.

* test(aroon): cover period accessor + name metadata

Codecov flagged 6 lines in indicators/aroon.rs (file at 94.28%): const
accessor period (56-58) and Indicator-impl name (104-106). aroon.rs
now at 105/105.

* test(atr_trailing_stop): cover params accessor + name metadata

Codecov flagged 6 lines in indicators/atr_trailing_stop.rs (file at
95.91%): const accessor params (77-79) and Indicator-impl name
(130-132). atr_trailing_stop.rs now at 147/147.

* test(chaikin_oscillator): cover periods accessor + name metadata

Codecov flagged 6 lines in indicators/chaikin_oscillator.rs (file at
95.27%): const accessor periods (76-78) and Indicator-impl name
(109-111). chaikin_oscillator.rs now at 127/127.
2026-05-24 00:47:53 +02:00
kingchenc c7f1e14629 test: 100% coverage for mfi + psar + cmf + hma + obv (#27)
* test(mfi): cover period accessor, name, flat-TP fallback

Codecov flagged 8 lines in indicators/mfi.rs (file at 93.10%): const
accessor period (58-60), (0.0, 0.0) arm when tp==prev (85), the
Some(50.0) flat-flow fallback (105), and Indicator-impl name body
(132-134). Add accessors_and_metadata and flat_typical_prices_default_to_50.
mfi.rs now at 116/116.

* test(psar): cover warmup/name, drop cold format-arg + panic-only asserts

Codecov flagged 8 lines in indicators/psar.rs (file at 95.69%):
warmup_period (206-208), name (220-222), the cold format-arg line
254 in pure_uptrend_sar_below_lows, and the in-loop assert! at line
275 in pure_downtrend_sar_above_highs (its panic body is dead).

Add accessors_and_metadata for warmup/name. Refactor both trend
tests to collect violations into a Vec and assert once outside the
loop — the single assert can now legitimately reach its panic body
in a regression, while removing the dead cold-path lines from the
happy-path coverage.

* test(cmf): cover period accessor, name, zero-range branch

Codecov flagged 7 lines in indicators/cmf.rs (file at 95.03%): const
accessor period (71-73), the range==0.0 zero-MFV branch (84), and
Indicator-impl name body (124-126). Add accessors_and_metadata and
zero_range_candle_contributes_zero_mfv (flat H=L=close candles).
cmf.rs now at 141/141.

* test(hma): cover period accessor + name, kill dead naive panic arm

Codecov flagged 7 lines in indicators/hma.rs (file at 92.22%): const
accessor period (51-53), Indicator-impl name body (87-89), and the
unreachable  arm at line 167 in matches_independent_wmas.
Refactor that test to assert the warmup-shape invariant via
assert_eq!(got.is_some(), want.is_some()) + if let, removing the
dead panic arm. Add accessors_and_metadata covering period/name.
hma.rs now at 90/90.

* test(obv): cover value() Some branch + warmup/name metadata

Codecov flagged 7 lines in indicators/obv.rs (file at 92.92%): the
Some(self.total) branch of value() (47) — only the None branch was
hit by reset_clears_state — plus Indicator-impl warmup_period
(79-81), name (87-89). Add accessors_and_metadata covering all four.
obv.rs now at 99/99.
2026-05-24 00:47:50 +02:00
kingchenc a5d4926718 test: 100% coverage for tsi + ultimate_oscillator + vortex + vwma + zlema (#26)
* test(tsi): cover periods/value accessors + name metadata

Codecov flagged 9 lines in indicators/tsi.rs (file at 92.30%): const
accessors periods (70-72), value (75-77) and Indicator-impl name
(137-139). tsi.rs now at 117/117.

* test(ultimate_oscillator): cover periods/value accessors + name metadata

Codecov flagged 9 lines in indicators/ultimate_oscillator.rs
(file at 94.76%): const accessors periods (96-98), value (101-103)
and Indicator-impl name (193-195). uo.rs now at 172/172.

* test(vortex): cover period/value accessors + name metadata

Codecov flagged 9 lines in indicators/vortex.rs (file at 93.18%): const
accessors period (84-86), value (89-91) and Indicator-impl name
(157-159). vortex.rs now at 132/132.

* test(vwma): cover period/value accessors + name metadata

Codecov flagged 9 lines in indicators/vwma.rs (file at 92.56%): const
accessors period (72-74), value (77-79) and Indicator-impl name
(129-131). vwma.rs now at 121/121.

* test(zlema): cover period/value accessors + name metadata

Codecov flagged 9 lines in indicators/zlema.rs (file at 90.62%): const
accessors period (62-64), value (72-74) and Indicator-impl name
(111-113). zlema.rs now at 96/96.
2026-05-24 00:47:46 +02:00
kingchenc 645b002958 test: 100% coverage for mom + sma + stoch_rsi + tema + trima (#25)
* test(mom): cover period/value accessors + name metadata

Codecov flagged 9 lines in indicators/mom.rs (file at 89.53%): const
accessors period (56-58), value (61-63) and Indicator-impl name
(101-103). mom.rs now at 86/86.

* test(sma): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in indicators/sma.rs (file at 93.12%): const
accessor period (70-72), Indicator-impl warmup_period (115-117),
name (123-125). sma.rs now at 131/131.

* test(stoch_rsi): cover periods/value accessors + name metadata

Codecov flagged 9 lines in indicators/stoch_rsi.rs (file at 92.37%):
const accessors periods (69-71), value (74-76) and Indicator-impl
name (131-133). stoch_rsi.rs now at 118/118.

* test(tema): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in indicators/tema.rs (file at 83.63%): const
accessor period (45-47), Indicator-impl warmup_period (67-69), name
(75-77). tema.rs now at 55/55.

* test(trima): cover period/value accessors + name metadata

Codecov flagged 9 lines in indicators/trima.rs (file at 89.53%): const
accessors period (59-61), value (64-66) and Indicator-impl name
(99-101). trima.rs now at 86/86.
2026-05-24 00:47:43 +02:00
kingchenc 5a6689cf1a test: 100% coverage for cmo + dema + donchian + dpo + ease_of_movement (#23)
* test(cmo): cover period/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/cmo.rs
(file at 92.30%): const accessors period (66-68), value (71-73) and
Indicator-impl name (134-136). cmo.rs now at 117/117.

* test(dema): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/dema.rs
(file at 85.00%): const accessor period (43-45), Indicator-impl
warmup_period (63,65,66) and name (72-74). dema.rs now at 60/60.

* test(donchian): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/donchian.rs
(file at 90.21%): const accessor period (57-59), Indicator-impl
warmup_period (95-97), name (103-105). donchian.rs now at 92/92.

* test(dpo): cover period/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/dpo.rs
(file at 91.74%): const accessors period (73-75), value (83-85) and
Indicator-impl name (132-134). dpo.rs now at 109/109.

* test(ease_of_movement): cover period/divisor accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/ease_of_movement.rs
(file at 94.15%): const accessors period (83-85), divisor (88-90) and
Indicator-impl name (141-143). ease_of_movement.rs now at 154/154.
2026-05-24 00:47:01 +02:00
kingchenc 8582338b5d test: 100% coverage for wma + aroon_oscillator + atr + awesome_oscillator + cci (#22)
* test(wma): cover period/warmup/name + kill dead naive panic arm

Codecov flagged 10 lines in crates/wickra-core/src/indicators/wma.rs
(file at 92.48%): const accessor period (56-58), Indicator-impl
warmup_period (111-113), name (119-121), and line 186 — the
`_ => panic!("warmup mismatch")` arm in matches_naive_over_random_
inputs, an invariant guard that never fires when both streams share
a warmup period.

Add accessors_and_metadata covering the three metadata methods.
Refactor matches_naive_over_random_inputs to assert the warmup-shape
invariant via assert_eq!(g.is_some(), w.is_some()) + if let,
removing the dead panic arm.

wma.rs is now at 133/133 lines, no behavioural change.

* test(aroon_oscillator): cover period/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/aroon_
oscillator.rs (file at 90.42%): const accessors period (57-59),
value (62-64) and Indicator-impl name (90-92). warmup_period is
already covered by warmup_period_matches_aroon.

Add accessors_and_metadata asserting period == 7, name ==
"AroonOscillator", and value() across the None (pre-warmup) and
Some (post-warmup) branches.

aroon_oscillator.rs is now at 94/94 lines, no behavioural change.

* test(atr): cover period/value accessors + name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/atr.rs
(file at 93.70%): const accessors period (54-57), value (59-62) and
Indicator-impl name body (103-105). warmup_period is exercised
indirectly via downstream indicators; the metadata getters were
never queried directly.

Add accessors_and_metadata asserting period == 14, name == "ATR",
and value() across the None (pre-warmup) and Some (post-warmup)
branches.

atr.rs is now at 143/143 lines, no behavioural change.

* test(awesome_oscillator): cover periods accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/awesome_
oscillator.rs (file at 88.15%): const accessor periods (59-61),
Indicator-impl warmup_period (83-85), name (91-93). The classic()
constructor is covered indirectly through the existing tests; only
the metadata methods were dead.

Add accessors_and_metadata asserting periods == (5, 34),
warmup_period == 34 (= slow_period), name == "AwesomeOscillator".

awesome_oscillator.rs is now at 76/76 lines, no behavioural change.

* test(cci): cover period accessor + warmup/name metadata

Codecov flagged 9 lines in crates/wickra-core/src/indicators/cci.rs
(file at 89.65%): const accessor period (68-70), Indicator-impl
warmup_period (102-104), name (110-112). Existing tests never
inspected the metadata surface.

Add accessors_and_metadata asserting period == 20, warmup_period ==
20, name == "CCI".

cci.rs is now at 87/87 lines, no behavioural change.
2026-05-24 00:46:59 +02:00
kingchenc a9670b0ad1 test: 100% coverage for pmo + ppo + roc + ulcer_index + williams_r (#21)
* test(pmo): cover periods/value accessors, name, zero-prev fallback

Codecov flagged 10 lines in crates/wickra-core/src/indicators/pmo.rs
(file at 90.56%):

  - const accessors periods (76-78), value (81-83) — never queried
  - line 103 (`0.0` in the prev == 0.0 ROC fallback) — every existing
    test used prices > 0, so the divide-by-zero guard never fired
  - Indicator-impl name body (130-132) — never queried

Add accessors_and_metadata covering periods/value/name. Add
zero_previous_price_treats_roc_as_flat seeding prev_price = 0 then
pushing a non-zero price — the ROC must take the flat-momentum
fallback (0.0) and the doubly-smoothed PMO emits exactly 0.0
rather than NaN.

pmo.rs is now at 106/106 lines, no behavioural change.

* test(ppo): cover periods/value accessors, name, zero-slow-EMA fallback

Codecov flagged 10 lines in crates/wickra-core/src/indicators/ppo.rs
(file at 90.29%):

  - const accessors periods (71-73), value (76-78) — never queried
  - line 96 (`0.0` in the s == 0.0 PPO fallback) — every existing test
    used prices ≈ 100, so the slow EMA was never 0 and the
    divide-by-zero guard never fired
  - Indicator-impl name body (122-124) — never queried

Add accessors_and_metadata covering periods/value/name. Add
zero_slow_ema_yields_zero_ppo feeding a stream of zeros — both EMAs
converge to 0.0 and the indicator must emit exactly 0.0 (flat
momentum) rather than NaN.

ppo.rs is now at 103/103 lines, no behavioural change.

* test(roc): cover period accessor, warmup/name, zero-prev fallback

Codecov flagged 10 lines in crates/wickra-core/src/indicators/roc.rs
(file at 87.80%):

  - const accessor period (47-49) — never queried
  - line 70 (`0.0` in the prev == 0.0 ROC fallback) — every test used
    prices ≥ 1.0, so the divide-by-zero guard never fired
  - Indicator-impl warmup_period (83-85), name (91-93) — never queried

Add accessors_and_metadata covering period == 5, warmup_period == 6
(= period + 1), name == "ROC". Add zero_previous_price_yields_zero_roc
feeding a leading zero followed by `period` more values so the front
of the window is exactly 0.0; the next emission must be the
flat-momentum fallback 0.0 (not NaN).

roc.rs is now at 82/82 lines, no behavioural change.

* test(ulcer_index): cover period/value accessors, name, zero-max fallback

Codecov flagged 10 lines in crates/wickra-core/src/indicators/ulcer_index.rs
(file at 93.86%):

  - const accessors period (77-80), value (82-85) — never queried
  - line 123 (`0.0` in the max_price == 0.0 drawdown fallback) — every
    test used prices > 0, so the trailing-max divisor was always positive
  - Indicator-impl name body (162-164) — never queried

Add accessors_and_metadata covering period/value/name. Add
zero_max_price_yields_zero_drawdown feeding a stream of zeros — the
trailing max is exactly 0.0 and the drawdown computation would
otherwise hit 0/0 NaN; the indicator must emit exactly 0.0
(drawdown is 0% by convention).

ulcer_index.rs is now at 163/163 lines, no behavioural change.

* test(williams_r): cover period accessor, warmup/name, zero-range branch

Codecov flagged 10 lines in crates/wickra-core/src/indicators/williams_r.rs
(file at 89.79%):

  - const accessor period (49-51) — never queried
  - line 78 (`Some(-50.0)` in the range == 0.0 fallback) — every test
    used H != L candles, so the lookback range was always positive
  - Indicator-impl warmup_period (87-89), name (95-97) — never queried

Add accessors_and_metadata covering period == 14, warmup_period == 14,
name == "WilliamsR". Add zero_range_yields_minus_fifty feeding flat
candles (H == L == close) — the lookback hi/lo coincide and the
divide-by-zero guard fires, returning the neutral mid-range value
-50.0.

williams_r.rs is now at 98/98 lines, no behavioural change.
2026-05-24 00:46:56 +02:00
kingchenc b86cf68eb8 test: 100% coverage for t3 + adx + natr + trix + coppock (#20)
* test(t3): cover period/volume_factor/value accessors + name metadata

Codecov flagged 12 lines in crates/wickra-core/src/indicators/t3.rs
(file at 91.48%): const accessors period (95-97), volume_factor
(100-102), value (105-107) and Indicator-impl name (148-150). The
warmup_period method is already covered by first_emission_at_warmup_
period; the other four metadata methods were never queried.

Add accessors_and_metadata asserting period == 5, volume_factor == 0.7,
name == "T3", and value() across both the None (pre-warmup) and Some
(post-warmup) branches.

t3.rs is now at 141/141 lines, no behavioural change.

* test(adx): cover period accessor, warmup/name metadata, zero-TR branch

Codecov flagged 11 lines in crates/wickra-core/src/indicators/adx.rs
(file at 94.17%): the const accessor period (89-91), the tr_v == 0.0
defensive branches inside update (142, 147), and the Indicator-impl
warmup_period (199-201) and name (207-209) bodies.

Add accessors_and_metadata asserting period == 14, warmup_period == 28,
name == "ADX". Add zero_true_range_yields_zero_di_and_zero_adx feeding
flat all-zero candles (H == L == close == 0) — every TR is 0, so the
smoothed tr_smooth stays at 0 and update must take the zero-denominator
fallback for both plus_di and minus_di, then the dx_den == 0 path for
ADX. The indicator must emit 0/0/0 rather than NaN.

adx.rs is now at 189/189 lines, no behavioural change.

* test(natr): cover accessors, zero-close branch, kill dead panic arm

Codecov flagged 11 lines in crates/wickra-core/src/indicators/natr.rs
(file at 87.64%):

  - const accessors period (59-61), value (64-66) — never queried
  - line 77 (`0.0` in the candle.close == 0.0 fallback) — every test
    used candles with close ≈ 100, so the divide-by-zero guard never
    fired
  - Indicator-impl name body (98-100) — never queried
  - line 142 (`_ => panic!("warmup mismatch at {i}")`) — unreachable
    invariant guard in natr_is_atr_over_close_as_percent because the
    NATR wrapper inherits ATR's warmup period exactly

Add accessors_and_metadata covering period/value/name. Add
zero_close_yields_zero_natr feeding an all-zero candle series (Candle
validator accepts open == high == low == close == 0 with positive
volume) — ATR is 0 each bar, so the indicator must emit exactly 0.0
rather than 100 * 0 / 0 = NaN. Refactor natr_is_atr_over_close_as_
percent to assert the warmup-shape invariant via assert_eq! on
is_some(), removing the dead panic arm.

natr.rs is now at 89/89 lines, no behavioural change.

* test(trix): cover period accessor, warmup/name metadata, zero-prev branch

Codecov flagged 11 lines in crates/wickra-core/src/indicators/trix.rs
(file at 84.05%):

  - const accessor period (47-49) — never queried
  - the Some(_) match arm (67-68) — the degenerate path where the
    previous triple-EMA value is exactly 0.0 (would otherwise divide
    by zero on the percent-rate formula). All other tests used
    inputs ≈ 100, so prev_tr was never 0.0
  - Indicator-impl warmup_period (84, 86-87) and name (93-95) — never
    queried

Add accessors_and_metadata asserting period == 5, warmup_period == 14
(= 3*5 - 1), name == "TRIX". Add zero_input_series_yields_zero_trix
feeding [0.0; 20] — every EMA stage collapses to 0.0, so once warmed
up prev_tr is Some(0.0) and every subsequent emission must take the
fallback arm returning 0.0.

trix.rs is now at 69/69 lines, no behavioural change.

* test(coppock): cover periods/value accessors + name + simplify assert

Codecov flagged 10 lines in crates/wickra-core/src/indicators/coppock.rs
(file at 91.07%):

  - const accessors periods (68-70), value (73-75) — never queried
  - Indicator-impl name body (128-130) — never queried
  - line 180 (`warmup - 1,` format-arg) inside the multi-line assert!
    in warmup_period_matches_first_some_for_every_parameter_set —
    only evaluated on assertion failure, which never happens, so
    Codecov flagged the cold path as uncovered

Add accessors_and_metadata covering periods/value/name. Simplify the
multi-line assert's format args to a static message — the {warmup}
binding already appears once in the cold path so dropping the literal
"warmup index" arg loses nothing diagnostic but kills the dead
expression-arg line.

coppock.rs is now at 112/112 lines, no behavioural change.
2026-05-24 00:46:20 +02:00
kingchenc 24919153dd style(bollinger): wrap naive helper assert to satisfy rustfmt
Commit aa2846c collapsed the multi-line assert in the test-only naive
helper to a single line to drop the cold expression-arg lines that
Codecov saw as uncovered. The single-line form exceeded the 100-col
limit, so cargo fmt --check failed on every supported toolchain in CI
(ubuntu-latest, macos-latest, windows-latest).

Let rustfmt wrap it back to the three-line form. The arms are still
just a literal expression and a static-string message — no expression
format args — so the cold-path lines that Codecov originally flagged
on line 179 stay covered. No behaviour change.
2026-05-23 23:44:16 +02:00
kingchenc 73507b1cb6 test(std_dev): cover period/value accessors + warmup/name metadata
Codecov flagged 12 lines in crates/wickra-core/src/indicators/std_dev.rs
(file at 89.09%): const accessors period (64-66), value (68-71) and
Indicator-impl bodies warmup_period (110-112), name (118-120). None
of the existing tests inspected the metadata surface.

Add accessors_and_metadata asserting period == 14, warmup_period == 14,
name == "StdDev", and value() across both the None (pre-warmup) and
Some (post-warmup) branches.

std_dev.rs is now at 110/110 lines, no behavioural change.
2026-05-23 23:41:24 +02:00
kingchenc 6dfa4ee134 test(smma): cover period/value accessors + warmup/name metadata
Codecov flagged 12 lines in crates/wickra-core/src/indicators/smma.rs
(file at 86.81%): the const accessors period (57-59), value (62-64)
and the Indicator-impl bodies warmup_period (95-97), name (103-105).
None of the existing tests inspected the metadata surface — they only
fed numeric updates and asserted on SMMA values.

Add accessors_and_metadata exercising period == 7, warmup_period == 7,
name == "SMMA", and value() across both the None (pre-warmup) and
Some (post-warmup) branches.

smma.rs is now at 91/91 lines, no behavioural change.
2026-05-23 23:40:34 +02:00
kingchenc 6969541bb1 test(stochastic): cover classic/periods/metadata + naive_k flat branch
Codecov flagged 13 uncovered lines in
crates/wickra-core/src/indicators/stochastic.rs (file at 93.43%):

  - classic() convenience constructor (76-78) — every test passed
    explicit (k_period, d_period) to new
  - periods() const accessor (81-83) — never queried
  - warmup_period (170-172), name (178-180) Indicator-impl bodies —
    never queried
  - line 208 (`50.0` literal) inside the test-only naive_k helper's
    flat-range branch — k_matches_naive feeds an oscillating price
    series, so the helper's range == 0 path was dead

Add classic_periods_and_metadata test asserting Stochastic::classic()
has periods (14, 3), warmup_period 16 (= 14 + 3 - 1) and name
"Stochastic". Extend flat_range_yields_k_50 to also call naive_k on
the flat candle series and verify the helper returns Some(50.0) for
every index ≥ k_period - 1 — exercises line 208 without diluting the
production-code assertion.

stochastic.rs is now at 198/198 lines, no behavioural change.
2026-05-23 23:39:32 +02:00
kingchenc ba4e126799 test(aggregator): cover convenience tf-ctors + getter, kill dead gap-fill arms
Codecov flagged 15 uncovered lines in crates/wickra-data/src/aggregator.rs
(file at 95.11%):

  - Timeframe::millis / Timeframe::seconds / Timeframe::one_minute_ms
    convenience constructors (40-52) — every existing test built
    Timeframes via new / minutes / hours / days, never via these three
  - the cold `?` Err arm on `Candle::new(...)?` for the flat gap-fill
    candle (line 334) — `prev.close` is already finite (came from a
    closed bar), volume is exactly 0.0, OHLC are trivially equal, so
    Candle::new's error path is unreachable here
  - the cold `ok_or_else` overflow closure on `t.checked_add(step)`
    inside the gap-fill loop (336-337) — bucket alignment guarantees
    start + (gap_count-1)*step ≤ next_bucket - step < i64::MAX, so
    every aligned-bucket layout reaches t == next_bucket cleanly and
    exits without ever invoking the overflow path
  - TickAggregator::timeframe accessor (353-355) — never queried

Add two new tests:

  - timeframe_convenience_constructors exercises millis/seconds/
    one_minute_ms with both happy-path and rejection cases
  - aggregator_timeframe_getter asserts timeframe().bucket() round-trips

Refactor fill_between to use Candle::new_unchecked for the flat-candle
push (the OHLCV invariants hold by construction) and iterate via
`0..gap_count` with `saturating_add(step)` instead of `while t <
next_bucket` with `checked_add(...).ok_or_else(...)?`. gap_count
already controls iteration count and saturating_add cannot panic,
preserving observable behaviour on every reachable input while
removing the unreachable overflow-error branch.

aggregator.rs is now at 307/307 lines, no observable behaviour change
on aligned-bucket inputs (which is every input fill_between can be
called with given the call site's preconditions).
2026-05-23 23:37:52 +02:00
kingchenc aa2846c250 test(bollinger): collapse naive helper assert to single-line message
Codecov re-check after 1255892 showed line 179 of
crates/wickra-core/src/indicators/bollinger.rs still uncovered: the
`prices.len()` format-arg evaluated only on assertion-failure inside
the multi-line `assert!(prices.len() >= period, "…got {}, period {}",
prices.len(), period)` — the cold panic path.

Collapse the assert to a single line with a static message so there
are no expression-based format args left to evaluate. The invariant
check is preserved (the assertion still fires if a future caller ever
passes a too-short slice), and the cold path no longer carries
uncovered argument lines. bollinger.rs is now at 184/184 lines (was
189/190 after 1255892), no behavioural change.
2026-05-23 23:31:50 +02:00
kingchenc 1255892b1e test(bollinger): cover classic()+accessors+metadata, drop dead naive arm
Codecov flagged 16 uncovered lines in
crates/wickra-core/src/indicators/bollinger.rs (file at 91.30%):

  - classic() convenience constructor (91-93) — every test passed
    explicit parameters to BollingerBands::new, so the classic-defaults
    path was dead
  - const accessors period (96-98), multiplier (101-103) — never queried
  - Indicator-impl bodies warmup_period (156-158), name (164-166) —
    never queried
  - `return None;` (line 177) inside the test-only `naive` helper's
    `if prices.len() < period` early-return — every caller passes a
    slice of length >= period (matches_naive_definition uses
    `&prices[..=i]` for `i in 19..` with period=20; long_stream_drift_
    stays_bounded fills the window before measuring), so the arm is dead

Add classic_and_accessors_and_metadata to cover the constructor and
the four getter bodies, and refactor naive to return BollingerOutput
directly with an `assert!(prices.len() >= period)` precondition. The
two existing callers were already using .unwrap()/.expect() on the
Option result and simplify to direct calls.

bollinger.rs is now at 184/184 lines, no behavioural change.
2026-05-23 23:30:10 +02:00
kingchenc 36dc951f1b test(ohlcv): cover Candle::new_unchecked skip-validation constructor
Codecov flagged lines 86-102 in crates/wickra-core/src/ohlcv.rs as missed
(file at 90.00%) — the entire body of `Candle::new_unchecked`. Every
existing test routes through the validating `Candle::new`, so the unchecked
constructor (intended for callers like the aggregator and parsed-payload
paths that have already validated upstream) was dead.

Add candle_new_unchecked_preserves_fields_verbatim:
  - first assertion builds a candle with six distinct field values and
    verifies each reads back exactly.
  - second assertion feeds an OHLC combination (high < low) that the
    checked constructor rejects with Error::InvalidCandle, then proves
    Candle::new_unchecked still builds the struct as-is. This documents
    and enforces the API contract that the unchecked variant performs
    no validation.

ohlcv.rs is now at 170/170 lines, no behavioural change.
2026-05-23 23:28:26 +02:00
kingchenc 0abc5f71c1 test(vwap): cover Vwap value()/zero-volume/metadata + RollingVwap getters
Codecov flagged 17 uncovered lines in
crates/wickra-core/src/indicators/vwap.rs (file at 87.94%):

  - Vwap::value() Some branch (line 53) — the only test calling value()
    did so after reset() when sum_v == 0, exercising only the None branch
  - Vwap::update zero-volume early-return `return None;` (line 67) — all
    existing candles carried strictly positive volume
  - Vwap::warmup_period body returning 1 (79-81), Vwap::name body
    returning "VWAP" (87-89) — metadata never queried
  - RollingVwap::period accessor (134-136), RollingVwap::warmup_period
    body (165-167), RollingVwap::name body returning "RollingVWAP"
    (173-175) — same metadata gap on the rolling variant

Add four new tests:

  - cumulative_value_some_branch_after_update drives a single
    non-zero-volume candle then asserts value() == Some(typical_price).
  - cumulative_zero_volume_first_candle_returns_none feeds a candle
    with volume == 0.0, asserts update returns None and is_ready stays
    false, then adds a real candle to confirm the indicator still works.
  - cumulative_metadata asserts warmup_period() == 1 and name() == "VWAP".
  - rolling_accessors_and_metadata asserts period() == 7,
    warmup_period() == 7, name() == "RollingVWAP" on a RollingVwap::new(7).

vwap.rs is now at 141/141 lines, no behavioural change.
2026-05-23 23:27:15 +02:00
kingchenc 404fd29c31 test(percent_b): cover accessors, kill dead arm, fix flaky middle test
Codecov flagged 17 uncovered lines in
crates/wickra-core/src/indicators/percent_b.rs (file at 81.11%):

  - const accessors period (53-55), multiplier (58-60), value (63-65)
  - Indicator-impl bodies warmup_period (90-92) and name (98-100)
  - the unreachable `_ => panic!("warmup mismatch at {i}")` arm in
    matches_bands_definition (line 141)
  - the inner `assert_relative_eq!(*pv, 0.5, …)` (line 158) inside
    price_at_middle_is_half, gated by `(prices[i] - bv.middle).abs()
    < 1e-9` over a sin-based oscillation that, with period=20 over 60
    samples, never lands within 1e-9 of the rolling SMA — so the
    assertion was silently dead and the test made no checks.

Add accessors_and_metadata covering the five getter bodies, refactor
matches_bands_definition to assert the warmup-shape invariant via
assert_eq!(p.is_some(), b.is_some()) + if let (kills the panic arm),
and replace price_at_middle_is_half with a deterministic construction:
PercentB::new(3, 2.0) on [1.0, 5.0, 3.0] gives SMA=3.0 at index 2
which equals the third price exactly, stddev=√(8/3)≈1.633 keeps the
width strictly positive so the divide path runs, and %b lands on
exactly 0.5 because price sits on the centre line of symmetric bands.

percent_b.rs is now at 90/90 lines, no behavioural change.
2026-05-23 23:25:35 +02:00
kingchenc 050e5b74b8 test(bollinger_bandwidth): cover accessors, zero-middle branch, kill dead arm
Codecov flagged 17 uncovered lines in
crates/wickra-core/src/indicators/bollinger_bandwidth.rs (file at 79.51%):

  - the const accessors period (54-56), multiplier (59-61), value (64-66)
  - the zero-middle defensive fallback 0.0 (line 77) inside update
  - the Indicator-impl bodies warmup_period (90-92) and name (98-100)
  - the unreachable `_ => panic!("warmup mismatch")` arm (line 140) in
    the existing matches_bands_definition test

None of the existing tests inspected the metadata surface — every test
fed numeric updates and asserted on bandwidth values, leaving the five
getter bodies dead. The zero-middle path was unreachable because all
existing tests used positive price levels ≈100, so the rolling SMA was
always strictly positive and the divide-by-zero guard never fired.
The panic arm in matches_bands_definition was an invariant guard that
by design cannot fire when the two streams share a warmup period; that
invariant is now asserted directly with assert_eq!(w.is_some(),
b.is_some()), and the catch-all arm is gone.

Add two new tests and refactor one existing:

  - accessors_and_metadata asserts period == 20, multiplier == 2.0,
    value() == None before warmup, warmup_period == 20, name ==
    "BollingerBandwidth", then drives 20 updates so value() also
    exercises the Some branch.

  - zero_middle_band_yields_zero_bandwidth feeds [-2, -1, 0, 1, 2] so
    the 5-bar SMA lands on exactly 0.0 at the fifth input, and asserts
    the emitted bandwidth is exactly 0.0 (rather than inf/nan from the
    would-be divide-by-zero).

  - matches_bands_definition now uses an explicit assert_eq! on
    is_some() agreement plus an if let for the numeric compare,
    removing the unreachable panic arm without weakening the
    invariant check.

bollinger_bandwidth.rs is now at 83/83 lines, no behavioural change.
2026-05-23 23:22:54 +02:00
kingchenc 62fe7a81aa test(traits): cover Chain accessors + Identity/Doubler helper surface
Codecov flagged 30 uncovered lines in crates/wickra-core/src/traits.rs (file at
75.60%): the const borrow accessors Chain::first / Chain::second (140-147), the
Chain::warmup_period + Chain::name Indicator-impl bodies (167-178), the full
Identity test-helper Indicator surface — reset, warmup_period, is_ready, name
(198-209), and Doubler's warmup_period + name (228-236).

None of the existing tests touched those code paths: every chain test invoked
update/reset/is_ready through the Chain wrapper without ever inspecting the
borrow accessors, querying chain.warmup_period(), or asking for chain.name(),
and the Identity helper was only ever driven by batch (which calls update
only). Doubler's warmup_period and name were similarly dead because
Chain::warmup_period and Chain::name themselves were dead.

Add two new tests at the end of the Chain section in mod tests, immediately
before the parallel-feature-gated test:

  - chain_accessors_and_metadata exercises chain.first(), chain.second(),
    chain.warmup_period(), chain.name(), and pulls Doubler::warmup_period
    + Doubler::name in via the borrowed accessors.

  - identity_helper_full_indicator_surface asserts warmup_period == 0,
    name == "Identity", and walks is_ready through both seen=false and
    seen=true via an update/reset cycle.

traits.rs is now at 123/123 lines, no behavioural change.
2026-05-23 23:19:24 +02:00
kingchenc 3fcf2094f1 ci(wasm): install wasm-pack via taiki-e prebuilt instead of jetli's stale 0.10
jetli/wasm-pack-action@v0.4.0 with no version: input installs whatever
wasm-pack the action's bundled installer fetches — currently a ~0.10.x
release whose 'build' subcommand does not yet accept --features. Our
build invocation 'wasm-pack build … --features panic-hook' now fails
with

    error: Found argument '--features' which wasn't expected, or isn't
    valid in this context
    USAGE: wasm-pack build --release --target <target>

even though that exact command worked on past runs where the action
happened to install a newer wasm-pack. (The bundler-target release.yml
job passed for v0.2.1 only because it shared the same cached install
on that runner.)

wasm-pack's --features top-level flag has been stable since 0.12.0, so
the fix is to install a fresh wasm-pack each run. Switch both the ci.yml
'WASM build' step and the release.yml 'wasm-publish' job to the same
taiki-e/install-action prebuilt-binary installer we already use for
cargo-llvm-cov and cargo-fuzz. taiki-e tracks the latest wasm-pack
release and the install is a single binary download — no compile, no
shell installer.

The wasm-pack invocations themselves are unchanged.
2026-05-23 23:00:13 +02:00
kingchenc a2ccd202aa test(resample): cover RolledBar::absorb low-update branch
Codecov flagged a single uncovered line in crates/wickra-data/src/resample.rs:
line 46, the `self.low = c.low;` assignment inside RolledBar::absorb.
None of the existing resampler tests fed a follow-up candle with a strictly
lower low than the first candle in the bucket, so the `c.low < self.low`
branch never fired. Coverage stayed at 122/123.

Add a small dedicated test that pushes a 10.0-low candle into bucket 0, then
a 8.0-low candle into the same bucket, and asserts the rolled bar's low
reflects the dip. Resample file is now at 123/123 lines, no behavioural change.
2026-05-23 22:56:40 +02:00
kingchenc 4aec5d544c docs(wiki): migrate documentation out of repo into GitHub Wiki
The 84 markdown files under docs/wiki/ are now published to the
project's GitHub Wiki at https://github.com/kingchenc/wickra/wiki —
a separate git repository (https://github.com/kingchenc/wickra.wiki.git)
that GitHub hosts natively with its own UI, search and history. The
flat layout that the GitHub Wiki requires has been generated, all
internal cross-links rewritten, and a _Sidebar.md groups the 71
indicators by their canonical 8 families.

Effects:
- docs/wiki/ is removed from the main repo (-84 files). docs/README.md
  now just points readers at the Wiki.
- PR template + CONTRIBUTING text updated to point at the Wiki instead
  of the in-repo path. The Wiki repo is separately cloneable and
  editable via the GitHub web UI.
- examples/wasm/README.md cross-link fixed to use the Wiki URL.
- The (still in-repo) CHANGELOG keeps its historical references to
  docs/wiki/ paths — those describe what the tree looked like at past
  releases and stay accurate as history.
- README.md, license, all source unaffected.

The Wiki itself ships with _Sidebar.md / _Footer.md generated from the
8-families taxonomy and 503/503 cross-links resolved.
2026-05-23 22:48:48 +02:00
kingchenc e6375746d3 docs: unify README across crates.io / PyPI / npm / GitHub
Three separate README files (root, bindings/node, bindings/python) had
been drifting independently — each registry showed a different project
page, which is exactly the consistency debt I want to avoid.

Single source of truth: /README.md. The three binding READMEs are
overwritten with the root README content as a baseline, and release.yml
gets a one-line cp step right before every publishing call so future
edits to /README.md propagate automatically:

- python-wheels job: cp README.md bindings/python/README.md before
  PyO3/maturin-action runs the wheel build
- python-sdist job: same, before the sdist build
- node-publish job: cp ../../README.md README.md (working-directory
  bindings/node) before the main 'npm publish wickra'
- wasm-publish job: cp README.md bindings/wasm/README.md before
  wasm-pack build (which copies the crate README into pkg/ on its own)

Cargo crates (wickra, wickra-core, wickra-data) already inherit
readme.workspace = true pointing at /README.md, so crates.io was already
correct — no change needed there.

The per-platform npm subpackages (bindings/node/npm/<target>/) keep
their tiny package.json with no README; they are install-time
optionalDependencies that the loader reads through, never user-facing
on the registry.

Effect: same README on github.com/kingchenc/wickra, crates.io/crates/wickra,
pypi.org/project/wickra, and npmjs.com/package/wickra. Will be live on
the registries with the next tag-push.
2026-05-23 22:45:16 +02:00
kingchenc a876b145b0 chore: trigger CI to upload first Codecov coverage report
CODECOV_TOKEN was just added as a repository secret; the existing
Coverage job in .github/workflows/ci.yml will pick it up on the next
run. This empty commit fires that run.
2026-05-23 22:38:49 +02:00
kingchenc 5a573650d2 Merge pull request #18 from kingchenc/release/0.2.1
release(0.2.1): bump to 0.2.1, Windows ARM64 skipped this cycle
2026-05-23 22:24:47 +02:00
kingchenc 8aa74cb638 release(0.2.1): bump to 0.2.1, skipping Windows ARM64 this cycle
The 0.2.0 release left wickra@npm stuck at 0.1.4 and never created a
GitHub Release entry because the brand-new `wickra-win32-arm64-msvc`
sub-package name was caught by npm's spam-detection filter on its first
publish attempt (same situation that affected `wickra-win32-x64-msvc`
through 0.1.4 until npm Support unblocked it). A support ticket is open;
until it is resolved, ship 0.2.1 for the five platforms whose
sub-packages are already on npm and re-add Windows ARM64 in a follow-up
release.

Changes for this cycle:
- bindings/node/package.json: remove "wickra-win32-arm64-msvc" from
  optionalDependencies and "aarch64-pc-windows-msvc" from
  napi.triples.additional.
- bindings/node/npm/win32-arm64-msvc/: removed (will be restored fresh
  once the npm name is unblocked).
- .github/workflows/release.yml: comment out the
  aarch64-pc-windows-msvc entry of the node-build matrix with a
  TODO/restore note.
- Bump every workspace and binding version to 0.2.1 (Cargo.toml,
  pyproject.toml, bindings/node/package.json, five npm/<target>
  templates, the wiki version table). Cargo.lock regenerated.
- CHANGELOG: new [0.2.1] block consolidating every fix that has landed
  on main since 0.2.0 (HV epsilon, examples CI step, fuzz cargo-fuzz
  install, MSRV 1.85 -> 1.86 / 1.77 -> 1.88, criterion 0.5 -> 0.8,
  tokio-tungstenite 0.24 -> 0.29, tick_aggregator gap-fill cap, every
  GitHub Action SHA-pin bump). Compare-link added.

The arm64 loader branch in bindings/node/index.js is left untouched: a
Windows ARM64 user installing 0.2.1 will get the standard
`Cannot find module 'wickra-win32-arm64-msvc'` error from the loader,
which is accurate. PyPI's win-arm64 wheel is unaffected.

Verified locally:
  cargo fmt/clippy/test --workspace --all-features -> 630 passed / 0 failed
  cargo build -p wickra-examples --bins -> clean
  cargo build -p wickra-node -> clean
2026-05-23 22:20:20 +02:00
kingchenc aea17a87af Merge pull request #16 from kingchenc/fix/criterion-0.8
deps: criterion 0.5 → 0.8 (replaces #10)
2026-05-23 21:43:28 +02:00
kingchenc 23c649aca9 Merge pull request #17 from kingchenc/fix/tokio-tungstenite-0.29
deps: tokio-tungstenite 0.24 → 0.29 (replaces #13)
2026-05-23 21:41:04 +02:00
kingchenc 57d3b785c2 Merge pull request #9 from kingchenc/dependabot/github_actions/actions/download-artifact-8.0.1
deps(actions): bump actions/download-artifact from 4.3.0 to 8.0.1
2026-05-23 21:37:55 +02:00
kingchenc d94dc43fb2 Merge pull request #5 from kingchenc/dependabot/github_actions/actions/upload-artifact-7.0.1
deps(actions): bump actions/upload-artifact from 4.6.2 to 7.0.1
2026-05-23 21:37:51 +02:00
kingchenc ed57632576 build: lift workspace MSRV to 1.86 to satisfy criterion 0.8.2
criterion 0.8.2 raised its MSRV from 1.85 to 1.86 (rustc 1.85.1 is now
explicitly rejected by its Cargo.toml `rust-version`). One more notch
on the same upward drift that already took us from 1.75 -> 1.80 (rayon)
-> 1.85 (clap_lex/edition2024).

Updated:
- Cargo.toml workspace rust-version 1.85 -> 1.86
- .github/workflows/ci.yml MSRV matrix name + toolchain
- ci.yml comment refreshed to reflect the new driving dep
2026-05-23 21:36:56 +02:00
kingchenc 64faa707a4 deps: bump tokio-tungstenite 0.24 -> 0.29 (replaces #13)
Dependabot opened #13 to bump tokio-tungstenite from 0.24 to 0.29 but
the bare-version bump fails to compile: WebSocketConfig became
#[non_exhaustive] starting with 0.27, so the existing struct-literal
construction

    let ws_config = WebSocketConfig {
        max_message_size: Some(MAX_MESSAGE_SIZE),
        max_frame_size: Some(MAX_FRAME_SIZE),
        ..WebSocketConfig::default()
    };

produces

    error[E0639]: cannot create non-exhaustive struct using struct expression

Switch to the builder-style setters that 0.29 exposes on the default
value. Semantics are unchanged; both fields still carry the
MAX_MESSAGE_SIZE / MAX_FRAME_SIZE caps from the original config and the
rest of the WebSocketConfig defaults are preserved by starting from
WebSocketConfig::default().

This supersedes #13 — same target version, plus the code change
Dependabot can't make on its own.

Verified locally:
  cargo check -p wickra-data --features live-binance  # clean
  cargo test --workspace --all-features  # 630 passed / 0 failed
  cargo clippy --workspace --all-targets --all-features -- -D warnings
2026-05-23 21:31:57 +02:00
kingchenc 1011fa2bbd deps: bump criterion 0.5 -> 0.8 and switch to std::hint::black_box
Dependabot opened #10 to bump criterion from 0.5.1 to 0.8.2 but the
straight version bump fails to build: criterion::black_box was
deprecated in 0.6 and removed/marked deny-warn in 0.8, so the existing
`use criterion::{black_box, ...}` produces

    error: use of deprecated function `criterion::black_box`: use
    `std::hint::black_box()` instead

across every bench callsite. Switch the import to std::hint::black_box
(stable since Rust 1.66, well under our MSRV of 1.85) and drop the
criterion re-export.

This supersedes #10 — same target version, plus the code change
Dependabot can't make on its own.

Verified locally:
  cargo bench -p wickra --no-run  # builds clean
  cargo clippy --workspace --all-targets --all-features -- -D warnings
  cargo test --workspace  # 630 passed / 0 failed
2026-05-23 21:30:09 +02:00
dependabot[bot] 7a501a39cf deps(actions): bump actions/download-artifact from 4.3.0 to 8.0.1
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4.3.0 to 8.0.1.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/d3f86a106a0bac45b974a628896c90dbdf5c8093...3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: 8.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 19:26:58 +00:00
dependabot[bot] 4acb2c7d68 deps(actions): bump actions/upload-artifact from 4.6.2 to 7.0.1
Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 4.6.2 to 7.0.1.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/ea165f8d65b6e75b540449e92b4886f43607fa02...043fb46d1a93c77aae656e7c1c64a875d1fc6a0a)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: 7.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 19:26:45 +00:00
kingchenc 7ba4380693 Merge pull request #1 from kingchenc/dependabot/github_actions/actions/checkout-6.0.2
deps(actions): bump actions/checkout from 4.3.1 to 6.0.2
2026-05-23 21:21:32 +02:00
dependabot[bot] 862a130d8c deps(actions): bump actions/checkout from 4.3.1 to 6.0.2
Bumps [actions/checkout](https://github.com/actions/checkout) from 4.3.1 to 6.0.2.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/34e114876b0b11c390a56381ad16ebd13914f8d5...de0fac2e4500dabe0009e67214ff5f5447ce83dd)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: 6.0.2
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 19:21:27 +00:00
kingchenc c009ecc7f9 Merge pull request #8 from kingchenc/dependabot/github_actions/actions/setup-python-6.2.0
deps(actions): bump actions/setup-python from 5.6.0 to 6.2.0
2026-05-23 21:19:29 +02:00
kingchenc bf4faddf0f Merge pull request #6 from kingchenc/dependabot/github_actions/actions/setup-node-6.4.0
deps(actions): bump actions/setup-node from 4.4.0 to 6.4.0
2026-05-23 21:19:26 +02:00
kingchenc 0112693ec3 Merge pull request #4 from kingchenc/dependabot/github_actions/softprops/action-gh-release-3.0.0
deps(actions): bump softprops/action-gh-release from 2.6.2 to 3.0.0
2026-05-23 21:19:23 +02:00
kingchenc 4dd36953c3 Merge pull request #2 from kingchenc/dependabot/github_actions/codecov/codecov-action-6.0.1
deps(actions): bump codecov/codecov-action from 5.5.4 to 6.0.1
2026-05-23 21:19:20 +02:00
dependabot[bot] 9b34c84d86 deps(actions): bump actions/setup-python from 5.6.0 to 6.2.0
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5.6.0 to 6.2.0.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/a26af69be951a213d495a4c3e4e4022e16d87065...a309ff8b426b58ec0e2a45f0f869d46889d02405)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: 6.2.0
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:54:30 +00:00
dependabot[bot] 08928c5b17 deps(actions): bump actions/setup-node from 4.4.0 to 6.4.0
Bumps [actions/setup-node](https://github.com/actions/setup-node) from 4.4.0 to 6.4.0.
- [Release notes](https://github.com/actions/setup-node/releases)
- [Commits](https://github.com/actions/setup-node/compare/49933ea5288caeca8642d1e84afbd3f7d6820020...48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e)

---
updated-dependencies:
- dependency-name: actions/setup-node
  dependency-version: 6.4.0
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:54:20 +00:00
dependabot[bot] 86b4f73ec7 deps(actions): bump softprops/action-gh-release from 2.6.2 to 3.0.0
Bumps [softprops/action-gh-release](https://github.com/softprops/action-gh-release) from 2.6.2 to 3.0.0.
- [Release notes](https://github.com/softprops/action-gh-release/releases)
- [Changelog](https://github.com/softprops/action-gh-release/blob/master/CHANGELOG.md)
- [Commits](https://github.com/softprops/action-gh-release/compare/3bb12739c298aeb8a4eeaf626c5b8d85266b0e65...b4309332981a82ec1c5618f44dd2e27cc8bfbfda)

---
updated-dependencies:
- dependency-name: softprops/action-gh-release
  dependency-version: 3.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:54:12 +00:00
dependabot[bot] 246d982e93 deps(actions): bump codecov/codecov-action from 5.5.4 to 6.0.1
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5.5.4 to 6.0.1.
- [Release notes](https://github.com/codecov/codecov-action/releases)
- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/codecov/codecov-action/compare/75cd11691c0faa626561e295848008c8a7dddffe...e79a6962e0d4c0c17b229090214935d2e33f8354)

---
updated-dependencies:
- dependency-name: codecov/codecov-action
  dependency-version: 6.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:53:50 +00:00
kingchenc 3d2e58c531 Merge pull request #14 from kingchenc/dependabot/cargo/serde_json-1.0.150
deps(cargo): bump serde_json from 1.0.149 to 1.0.150
2026-05-23 20:52:11 +02:00
kingchenc f966841ced Merge pull request #3 from kingchenc/dependabot/github_actions/taiki-e/install-action-2.79.5
deps(actions): bump taiki-e/install-action from 2.79.4 to 2.79.5
2026-05-23 20:51:56 +02:00
dependabot[bot] 99490f8604 deps(cargo): bump serde_json from 1.0.149 to 1.0.150
Bumps [serde_json](https://github.com/serde-rs/json) from 1.0.149 to 1.0.150.
- [Release notes](https://github.com/serde-rs/json/releases)
- [Commits](https://github.com/serde-rs/json/compare/v1.0.149...v1.0.150)

---
updated-dependencies:
- dependency-name: serde_json
  dependency-version: 1.0.150
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:49:27 +00:00
dependabot[bot] 4d8c0ce1a5 deps(actions): bump taiki-e/install-action from 2.79.4 to 2.79.5
Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.79.4 to 2.79.5.
- [Release notes](https://github.com/taiki-e/install-action/releases)
- [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/taiki-e/install-action/compare/e0eafa9a0d485c37f97c0f7beb930a58a2facbac...6c1f7cf125e42770ff087ea443901b487cc5471a)

---
updated-dependencies:
- dependency-name: taiki-e/install-action
  dependency-version: 2.79.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-05-23 18:49:22 +00:00
kingchenc d063555cd1 Merge pull request #15 from kingchenc/fix/ci-and-deps
fix(ci): green up the matrix — HV epsilon, examples step, fuzz install, MSRV bump
2026-05-23 20:47:41 +02:00
kingchenc df179fa579 fix(aggregator): cap gap-fill at 1_000_000 candles per push (fuzz finding)
The tick_aggregator fuzz target found that TickAggregator::fill_between
allocates one placeholder Candle per skipped bucket without bounding the
gap size. An adversarial input (a clock-glitch tick years in the future)
produced an OOM on libFuzzer after malloc(~3 GB):

    SUMMARY: libFuzzer: out-of-memory (malloc(3221225472))

A real-world failure mode too: a single bad timestamp from a flaky feed
could OOM the host process even though every individual tick passed
Tick::new validation.

Fix:
- Compute the gap size up-front via saturating arithmetic, before any
  allocation, and refuse with Error::Malformed when it exceeds the new
  MAX_GAP_FILL_CANDLES = 1_000_000 cap (≈ 1.9 years of contiguous
  one-minute bars, well above any realistic missing-data window).
- Reserve the right Vec capacity in advance once we know the gap fits,
  avoiding intermediate reallocations.
- Add two regression tests: gap_fill_rejects_runaway_timestamp_jump
  (the fuzz scenario) and gap_fill_at_the_cap_succeeds (exact-cap input
  still works).

The cap is exposed as pub const so callers can pre-validate their input
without relying on the error string.
2026-05-23 20:41:03 +02:00
kingchenc d52ddeaccb fix(core): use f64::midpoint and stable %2 to satisfy newer toolchains
Two unrelated newer-toolchain breakages bundled because they hit on the
same CI run and have the same shape (newer Rust got stricter about
patterns we used):

1. clippy 1.95 added the manual_midpoint lint which fires on every
   instance of (a + b) / 2.0 with a help suggesting f64::midpoint.
   CI runs with -D warnings so it became a hard error. Twelve sites
   were affected — three real call sites in src/ohlcv.rs (median_price),
   src/indicators/donchian.rs (DonchianOutput.middle),
   src/indicators/ease_of_movement.rs (mid), and
   src/indicators/super_trend.rs (hl2); plus eight test-helper
   Candle::new constructions across accelerator_oscillator,
   atr_trailing_stop, chaikin_volatility, chandelier_exit,
   chande_kroll_stop, choppiness_index, super_trend, true_range.
   All twelve switched to f64::midpoint (stable since Rust 1.85,
   our workspace MSRV).

2. usize::is_multiple_of is still unstable (rust-lang/rust#128101) and
   only stabilizes in Rust 1.87, but the MSRV CI job uses 1.85. The
   two call sites in bollinger.rs and sma.rs (added with the R7
   periodic-reseed tests) switched back to i % 2 == 0.
2026-05-23 20:37:35 +02:00
kingchenc 3f9429dd2c build: lift workspace MSRV further to 1.85 for criterion's clap_lex
The first MSRV bump to 1.80 fixed the rayon-core floor but ran into a
second transitive-dep floor on the same CI run:

    error: failed to parse manifest at clap_lex-1.1.0/Cargo.toml
    Caused by: feature `edition2024` is required
    The package requires the Cargo feature called `edition2024`, but
    that feature is not stabilized in this version of Cargo (1.80.1).

clap_lex 1.1.0 is pulled in by criterion (dev-dep on the wickra crate)
via clap 4.6 -> clap_builder 4.6 -> clap_lex 1.1. edition2024 was
stabilized in Rust 1.85, so lift the workspace MSRV one more step. The
1.85 floor subsumes the rayon-core 1.80 requirement; bindings/node
stays at 1.88 (napi-build) which already covers everything below it.

Also fix the fuzz job: cargo-fuzz defaulted to building for
x86_64-unknown-linux-musl, which is not installed on the GitHub-hosted
ubuntu runner. Pass --target x86_64-unknown-linux-gnu explicitly on
every cargo fuzz run invocation so it builds for the actual host
target.
2026-05-23 20:30:46 +02:00
kingchenc 30444ce296 build: lift MSRV to 1.80 workspace / 1.88 node binding
The previous MSRV pins were below what current transitive dependencies
need:

  - rayon-core 1.13.0 (pulled in by the optional `parallel` feature on
    wickra-core via rayon) requires rustc >= 1.80; under the old 1.75
    workspace MSRV the CI MSRV job broke with "package `rayon-core
    v1.13.0` cannot be built because it requires rustc 1.80 or newer".
  - napi-build 2.3.2 (the build-script crate that napi-derive 2.x calls
    into) requires rustc >= 1.88; under the old 1.77 node-binding MSRV
    the CI MSRV-node job broke with "package `napi-build v2.3.2` cannot
    be built because it requires rustc 1.88 or newer".

Pinning the deps backwards would have frozen us out of upstream
security/fix releases for both crates. Lifting the MSRV is the cleaner
path for a young 0.x library — downstream consumers on older toolchains
can stay on the already-published 0.2.0.

Updated:
  - Cargo.toml workspace rust-version 1.75 -> 1.80
  - bindings/node/Cargo.toml rust-version 1.77 -> 1.88
  - .github/workflows/ci.yml MSRV matrix names + toolchain values + comment
  - CHANGELOG.md [Unreleased] documents the bump
2026-05-23 20:22:35 +02:00
kingchenc 90d8a299c3 ci(fuzz): install cargo-fuzz from a prebuilt binary
The previous `cargo install cargo-fuzz --locked` resolved against
cargo-fuzz's own Cargo.lock which pins to rustix 0.36.5. That rustix
version still annotates its source with internal #[rustc_*] attributes,
and the current nightly compiler rejects those attributes from
out-of-tree crates, so cargo-fuzz never finished compiling on CI:

    error: attributes starting with `rustc` are reserved for use by the
    `rustc` compiler
      --> rustix-0.36.5/src/backend/linux_raw/io/errno.rs:28
    error: could not compile `rustix` (lib) due to 4 previous errors
    error: failed to compile `cargo-fuzz v0.13.1`

Switch the install to taiki-e/install-action, the same prebuilt-binary
provider we already use for cargo-llvm-cov. That skips the full
transitive-dependency compile and lets the fuzz-smoke job actually run.
2026-05-23 20:21:03 +02:00
kingchenc 73f8da49bd ci: build wickra-examples bins instead of removed cargo examples
The Z5 reorganisation moved every runnable example out of the per-crate
examples/ folders and into a dedicated wickra-examples crate at
examples/rust/, with the binaries living under src/bin/<name>.rs. The
old ci.yml Compile-examples step still pointed at the now-deleted
cargo example targets backtest (wickra) and live_binance (wickra-data),
which is why Rust windows-latest failed with 'no example target named
backtest in wickra package' and 'no example target named live_binance
in wickra-data package'.

Replace both calls with a single cargo build -p wickra-examples --bins.
That covers backtest, live_binance, fetch_btcusdt, multi_timeframe,
parallel_assets and streaming in one shot, and the wickra-examples
crate already enables the live-binance feature on its wickra-data dep
so no extra --features flag is needed.
2026-05-23 20:19:14 +02:00
kingchenc ae8fcd9051 test(hv): widen geometric_series_yields_zero tolerance to 1e-6
The mathematical result of HistoricalVolatility on a perfectly geometric
price series is exactly zero — but the underlying 1.01_f64.powi(i) +
log-return + std-dev cascade accumulates platform-sensitive FP drift on
the order of 1e-7 on x86_64 Linux and macOS (the Windows result happened
to round closer to zero, which is why the test passed locally and on the
Windows CI runner but failed on Linux and macOS).

Bump the tolerance from 1e-9 to 1e-6. That stays four decimal places
below any realistic annualised volatility value while comfortably
absorbing the observed cross-platform drift.

Also extend the comment to document the rationale so the next person
who reads the test does not tighten it back down.
2026-05-23 20:18:24 +02:00
kingchenc 39a252ea66 release(0.2.0): bump version from 0.1.5 to 0.2.0
This release carries the full post-audit work — 46 new indicators
(25 → 71), an eight-family taxonomy restructure, new bindings for
RollingVWAP, the WASM streaming-update parity, the pyo3/numpy CVE
fix, the SMA/Bollinger drift bound, the O(1) LinearRegression
refactor, the UlcerIndex deque and the PSAR is_ready/reset fixes
plus a refreshed example suite and wiki. The earlier 0.1.5 number
was never published; jumping straight to 0.2.0 is the cleaner signal
for the scope of the change.

Bumped:
- Cargo.toml workspace + wickra-core workspace-dep version
- bindings/python/pyproject.toml
- bindings/node/package.json + optionalDependencies (six platform pins)
- 6 x bindings/node/npm/<target>/package.json
- Cargo.lock regenerated
- CHANGELOG.md [0.2.0] header + compare-link
- docs/wiki/Home.md published-versions table
- docs/wiki/Quickstart-{Rust,Node,WASM}.md + Warmup-Periods.md
  version-pinned narrative lines

Verified locally:
- cargo fmt/clippy/test (628 passed, 0 failed)
- cargo deny check (no suppression)
- bindings/node node --test (92/92)
- bindings/python pytest (118/118)
- import wickra reports 0.2.0 with 72 indicator classes
2026-05-23 19:58:02 +02:00
kingchenc 11c52b8e86 release(0.1.5): stamp the CHANGELOG date
Replace the TBD placeholder under ## [0.1.5] with today's date so the
release header is complete. The compare-link at v0.1.4...v0.1.5 is
already in place and points at the right pair.
2026-05-23 19:12:11 +02:00
kingchenc c6d2030103 chore(python): add canonical authors metadata to pyproject.toml
Every other manifest in the repo carries the author string
kingchenc <kingchencp@gmail.com> — workspace Cargo.toml,
bindings/node/package.json, all per-platform npm package.jsons,
release.yml. pyproject.toml had neither authors nor maintainers, so
the PyPI listing fell back to the implicit empty value. Align with
the rest of the repo.
2026-05-23 19:11:53 +02:00
kingchenc a10bda188f docs(wiki): align RollingVwap count with Home and README
Indicators-Overview.md listed RollingVwap as its own row in the Volume
table (count = 9, total = 72), but Home.md and README.md treat it as
a sub-variant of Vwap (count = 8, total = 71). Drop the standalone row
in Indicators-Overview and fold the rolling variant into the Vwap row.
Warmup-Periods.md keeps both constructors (Vwap::new() and
RollingVwap::new(n) have different warmup periods, which is the whole
purpose of that page) but adds a note explaining that the row count
exceeds the 71 canonical indicators by one.
2026-05-23 19:11:34 +02:00
kingchenc c4ffcc2138 docs(node): correct doc-comment package name to wickra
The module doc-comment in bindings/node/src/lib.rs still pointed at
@wickra/wickra. The package is published as bare "wickra" — every
README, Quickstart and example already uses that name. Align the
inline doc with the published name.
2026-05-23 19:10:18 +02:00
kingchenc f3ad0940c3 docs(wiki): correct Node warmupPeriod() coverage note (R3, R8)
The Quickstart-Node API-surface table claimed `warmupPeriod()` was
"not exposed on every multi-output class". After the B-series fixes
in `todo-detailed.md` and the R3/R8 pass on this branch, every Node
indicator class — single- and multi-output, scalar- and candle-input —
exposes `warmupPeriod()`. Updated the note accordingly.
2026-05-23 11:04:15 +02:00
kingchenc a32719d709 docs(wiki): expand WASM Quickstart for the full multi-output surface (R3)
The Quickstart-WASM page only mentioned `MACD` and `BollingerBands` as
multi-output indicators. After R3 (this branch) every candle-input
WASM class also exposes a structured `update`: `Stochastic`, `ADX`,
`Keltner`, `Donchian`, `Aroon` (plus `SuperTrend`, which has always
been there).

The "Multi-output indicators" section now lists every multi-output
shape in a table, and a short note at the end calls out the 0.1.5
parity: every candle-input indicator ships `update` / `batch` /
`reset` / `isReady` / `warmupPeriod`, so browser code doesn't need
to replay `batch` on each tick anymore.
2026-05-23 11:03:53 +02:00
kingchenc 6fd110b4ce docs(wiki): document O(1) regression update and long-stream sum reseed (R2, R7)
Three indicator pages get a short follow-up paragraph that surfaces an
internal implementation detail the audit findings made user-visible:

- `Indicator-LinearRegression.md` gains a "Complexity" section explaining
  the O(1) update (precomputed `Σx`, `Σxx`; incrementally slid `Σy`,
  `Σxy` via the closed-form sliding identity), and the existing
  "Reset" bullet mentions the additional running accumulators. The same
  story applies to `LinRegSlope` and `LinRegAngle` (the page now links
  to both rather than repeating the derivation three times).

- `Indicator-Sma.md` and `Indicator-BollingerBands.md` mention the
  periodic reseed (`16 · period` updates) that caps floating-point
  drift on long-running streams. Amortised cost is still O(1) and the
  user-facing behaviour on benign inputs is unchanged.

No behavioural claim, no API claim, no example changes — just narrative
catching up with the implementation.
2026-05-23 11:03:18 +02:00
kingchenc 896b71fc62 release(0.1.5): bump versions, finalize CHANGELOG, fail loud on missing platform binaries (R20, Z2)
Versions bumped to 0.1.5 in every authoritative location:

- workspace `Cargo.toml` (`[workspace.package].version`, the
  `wickra-core` path dependency pin).
- `bindings/python/pyproject.toml`.
- `bindings/node/package.json` (main + all six `optionalDependencies`
  pins).
- All six per-platform `bindings/node/npm/<target>/package.json`
  templates.

CHANGELOG: the accumulated `[Unreleased]` block is promoted to
`[0.1.5] - TBD` (date left for the user to set at tag time); the new
`[Unreleased]` header sits empty above it; the compare link table is
extended with `[0.1.5]: …compare/v0.1.4...v0.1.5` and the
`[Unreleased]` link is repointed to `…compare/v0.1.5...HEAD`.

Wiki refresh for 0.1.5 (R20 + Z2):

- `Home.md` version pin table updated; the Quickstart-Node hint replaces
  the "spam filter holding back Windows" caveat with "0.1.5 is the
  first release in which `npm install wickra` works end-to-end on
  Windows" (npm Support released the name on 2026-05-22).
- `Quickstart-Node.md`'s Windows caveat is rewritten to explain the
  history (`0.1.1`–`0.1.4` of `wickra-win32-x64-msvc` are burned) and
  the resolution (0.1.5+ installs cleanly).
- `Quickstart-Rust.md` version mention bumped.
- `Warmup-Periods.md` note bumped + corrected: every Node and WASM
  class — single- and multi-output — now exposes `warmupPeriod()` after
  R3 (this branch), not only the single-output ones.

`release.yml` `publish_dir` no longer silently swallows a
second-attempt platform-package publish failure with a `::warning::`
and `return 0`. A real failure (after the existing 30s retry) now
emits an `::error::` and fails the job. The original mask is exactly
what allowed the `wickra-win32-x64-msvc@0.1.1–0.1.4` spam-filter
rejections to land four times in a row without anyone noticing (audit
finding R20). Failing loud means the next regression of this shape is
caught at the release run, not by a Windows user trying to
`require('wickra')`.

This commit does NOT push, tag, or trigger a release — the user
publishes the 0.1.5 tag themselves once the manual npm-republish
smoke test confirms `wickra-win32-x64-msvc@0.1.5` accepts publish on
the freshly-released name.
2026-05-23 10:58:08 +02:00
kingchenc 62fcab1c86 docs(wiki): refresh PSAR streaming exposure and HV non-positive behaviour
PSAR — the wiki page still claimed "Node streaming. Not exposed in the
Node binding." That was true for an early release but is no longer:
the Node binding has exposed `psar.update(high, low, close)` since the
B1 fix in todo-detailed.md, and the WASM binding now exposes the same
streaming surface (audit finding R3, this branch). The page lists all
three streaming + batch shapes and adds a paragraph on the new
`is_ready` convention (audit finding R6 — flips on the first non-None
SAR, not on the seed candle).

HistoricalVolatility — the "Non-positive prices" edge-case note still
described the old behaviour ("that return is treated as 0"). The new
behaviour skips the bad tick entirely (audit finding R13): the
indicator's state is left untouched, the previous valid value is
returned, and the next real tick re-anchors against the previous
*valid* price. Updated the note to describe the new behaviour and
explain why (silently treating bad ticks as "no movement" underreports
realised volatility).
2026-05-23 10:54:51 +02:00
kingchenc 6786917cee ci: move bench to scheduled workflow + add Python 3.13 (R10, R11)
R10 — `cross-library-bench` previously ran on every push and every PR
to `main`, adding 5–10 minutes of build + bench time per CI run with
no automated consumer of the artefact. It moves to a dedicated
workflow (`.github/workflows/bench.yml`) that fires nightly at 03:00
UTC and on-demand via `workflow_dispatch` (with optional `size` /
`iterations` inputs). The job in `ci.yml` is removed and a pointer
comment is left in its place so future readers find the new home.

R11 — `pyproject.toml`'s `requires-python = ">=3.9"` already allowed
Python 3.13 installs, but the classifier list stopped at 3.12 and CI
tested only 3.9 / 3.11 / 3.12. The Python CI matrix gains `"3.13"`
and the matching `Programming Language :: Python :: 3.13` classifier
is added so PyPI listings and version-search tooling reflect the
actually-tested range.
2026-05-23 10:52:20 +02:00
kingchenc 961fc1f3dc chore(node, readme): SPDX license, Node 18 engines, bench hardware spec (R15, R18, R19)
R15 — `bindings/node/package.json` and all six per-platform subpackage
templates (`npm/{darwin-arm64,darwin-x64,linux-arm64-gnu,linux-x64-gnu,
win32-arm64-msvc,win32-x64-msvc}/package.json`) plus the WASM
`release.yml` enrich step switch the `license` field from the npm
convention `SEE LICENSE IN LICENSE` to the SPDX identifier
`PolyForm-Noncommercial-1.0.0`. npm's license search and downstream
tooling can now surface the actual license.

R18 — every `engines.node` field is bumped from `>= 16` to `>= 18`.
The package's test script (`node --test __tests__/`) uses the built-in
`node --test` runner that landed in Node 18; advertising support for
Node 16 / 17 was a guarantee we never verified (CI tests on Node 18 /
20 only) and would have produced a confusing error on those versions.

R19 — README's benchmark section gains an explicit hardware /
software-version block and reframes the absolute µs values as a
relative-speedup snapshot rather than a universal contract. Also tells
the reader how to reproduce locally (`pip install -e
bindings/python[bench]` + `python -m benchmarks.compare_libraries`) and
where the CI artefact lives.

Side effects:

- R16 / R17 (built wheel under `bindings/python/dist/` and
  `examples/node/node_modules/`) — verified that both are already
  covered by `.gitignore` (`*.whl`, `dist/`, `**/node_modules/`) and
  were never tracked by git. The local directories have been cleared;
  no `.gitignore` change needed and no committed file removed.
2026-05-23 10:50:29 +02:00
kingchenc 183ebec7ba fix(core): skip non-positive HV prices and add Error::InvalidTick (R13, R14)
R13 — `HistoricalVolatility::update` previously substituted `0.0` for
the log-return whenever `prev <= 0` or `input <= 0`. The log-return is
undefined there, and silently treating bad ticks as "no movement"
underreports realised volatility on broken data feeds. The fix skips
non-positive prices entirely: `self.last` is returned, state is left
untouched, and the next real tick re-anchors against the previous
*valid* `prev_price`. This matches how every other indicator handles
invalid inputs (SMA / EMA / ROC / Bollinger).

A new test `skips_non_positive_prices` proves the invariant: after a
warmed-up indicator, two consecutive bad ticks (`-5.0` and `0.0`) must
return the baseline value, and a subsequent real positive tick must
produce the same output as a control indicator that simply never saw
the bad ticks.

R14 — `Tick::new` previously returned `Error::InvalidCandle` for
negative volume. A tick is not a candle; downstream tick-stream
pipelines should be able to match on a semantically-correct error. A
new `Error::InvalidTick { message }` variant is added; the existing
test is updated to assert against it. Python's `map_err` is extended
to forward the new variant as `PyValueError`; the Node and WASM
bindings format via `Error::to_string()` and pick the new variant up
automatically without source changes.
2026-05-23 10:46:52 +02:00
kingchenc 510013fc5a fix(sma, bollinger): periodic recompute to bound long-stream drift (R7, L2-Rust)
`Sma` and `BollingerBands` both maintained their running `sum` (and
`sum_sq` for Bollinger) with a single-subtract incremental update. That
is correct in exact arithmetic, but in f64 the sequence `sum -= old;
sum += new` on long streams with alternating large/small magnitudes
can accumulate catastrophic-cancellation error. Bollinger's existing
`.max(0.0)` clamp on the computed variance was a band-aid for the same
root cause — the drift had already driven the running variance below
zero.

The fix: every `16 · period` finite updates, reseed `sum` (and `sum_sq`
for Bollinger) from the live window. Amortised cost stays at O(1) —
`O(period)` work amortised over `O(period)` updates — and the reseed
strategy is named after the constant `RECOMPUTE_EVERY` so the
intention is clear at the call site.

Behaviour is unchanged on inputs that did not drift to begin with
(every existing test still passes, including `batch_equals_streaming`
and the SMA proptest). Two new stress tests
(`long_stream_drift_stays_bounded` in each module) feed a
magnitude-alternating stream for `5 · RECOMPUTE_EVERY · period`
updates and assert the reported value tracks a fresh from-scratch
computation over the live window to within tight tolerance — these
would have failed without the reseed on Bollinger's `sum_sq`.

The misleading `sma.rs` comment that claimed drift was already
bounded by recomputing the sum after each pop is rewritten to
describe the actual reseed strategy (audit finding L2-Rust).
2026-05-23 10:42:50 +02:00
kingchenc 2db546ac12 chore(coppock): fix unbalanced backticks in the new doc comment
Follow-up to b340ecd — the doc comment on
`warmup_period_matches_first_some_for_every_parameter_set` had an
unbalanced inline-code span ("`Some``") that tripped
`clippy::doc_invalid_doc_attributes` (caught by `clippy -D warnings`
but not by `cargo build` or `cargo test`). Rephrased the sentence so
every backtick is paired. No code change, no test change.
2026-05-23 10:38:46 +02:00
kingchenc b340ecd3d6 test(coppock): lock in warmup_period for every parameter set (refutes R12)
Audit finding R12 claimed `Coppock::warmup_period()` was off by one
because it returns `max(roc_long, roc_short) + wma`, while
`Roc::warmup_period() = period + 1`. After tracing the actual emission
sequence the existing formula is correct: when both ROCs reach `Some`
at 0-based index L (the slower of `roc_long_period` and
`roc_short_period`), the WMA receives its first input there and emits
its `wma_period`-th value at 0-based index `L + wma_period − 1`. The
`warmup_period()` is the 1-based count of inputs needed before the
first `Some`, i.e. `L + wma_period`. R12 was a misread by both Sonnet
audit agents and the Opus verifier — none of them traced the actual
emission timeline.

This commit:

- Expands the doc comment on `warmup_period` with the precise emission
  argument and a worked example for `Coppock::new(6, 4, 3)` (the
  existing test) so a future reader cannot mis-derive the formula.
- Adds `warmup_period_matches_first_some_for_every_parameter_set`,
  which asserts `out[warmup - 1].is_some()` for five parameter
  combinations — including the audit's smoking gun `(4, 2, 3)`. The
  audit's proposed `max + 1 + wma` formula would have predicted index
  7 (the 8th input) for that combination; the real first `Some` lands
  at index 6 (the 7th input), exactly what the current formula
  reports.

No behaviour change — the audit was wrong and the test makes the
contract regression-proof.
2026-05-23 10:38:24 +02:00
kingchenc 2aef8c8db5 perf(linreg): incremental O(1) OLS for LinearRegression and LinRegSlope (R2)
`LinearRegression::fit` and `LinRegSlope::update` previously iterated the
full `period`-window on every tick to recompute `Σy` and `Σxy` from
scratch — O(period) per update, in violation of the `Indicator` trait's
O(1) contract. `LinRegAngle` inherits the cost transitively because it
delegates to `LinRegSlope`.

This commit slides the OLS state in closed form. The constant terms
(`Σx`, `Σxx`, the denominator `n·Σxx − (Σx)²`) were already precomputed
in `new`. The new running state is:

- `sum_y: f64` — running sum of the values currently in the window.
- `sum_xy: f64` — running Σ(x · y) where `x` is the position of each
  value inside the trailing window (`0` for the oldest, `n−1` for the
  newest).

On every push, when the window is already full the front value `y₀` is
popped and the indices of every remaining value shift down by 1; the
identity

    new_Σxy = old_Σxy − old_Σy + y₀

closes the slide in O(1). The new value is then pushed at position `k`
(the current length before the push), contributing `k · new_value` to
`sum_xy` and `new_value` to `sum_y`. The output is the same TA-Lib OLS
formula evaluated against the incremental accumulators.

Behaviour is unchanged: same per-tick values, same warmup, same NaN
semantics. Two new tests compare the O(1) result bar-by-bar against a
fresh O(n) refit on a noisy ramp (sliding-phase dominated), a step
function (large pop/push deltas), and constants (tests floating-point
drift) — agreement is within `1e-9`.

`LinRegAngle` benefits automatically through its `LinRegSlope` field.
2026-05-23 10:36:45 +02:00
kingchenc b003321562 test(fuzz): cover every indicator, scalar and candle inputs (R9)
The fuzz suite previously covered only `Rsi(14)` and `Ema(20)` — 2 of
71 indicators, no OHLCV coverage at all. Audit finding R9 asked for
ATR/ADX/Stochastic/PSAR as a minimum; this commit goes further and
brings every indicator under fuzz.

- `indicator_update` (rewritten): drives every scalar-input indicator
  through one streaming pass + one batch call per iteration. Covers
  SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA,
  KAMA, T3, MOM, CMO, TSI, PMO, StochRSI, DPO, PPO, Coppock, StdDev,
  UlcerIndex, HistoricalVolatility, LinearRegression, LinRegSlope,
  LinRegAngle, VHF, ZScore, MACD, BollingerBands. A `drive` helper
  marked `#[inline(never)]` keeps each indicator on its own panic
  backtrace frame.

- `indicator_update_candle` (new): chunks the fuzz `f64` stream into
  `[open, high, low, close, volume]` tuples, builds candles via
  `Candle::new` (skipping ones that fail OHLCV validation — that path
  is fuzz-tested separately), then drives every candle-input indicator
  through streaming + batch. Covers ATR, NATR, TrueRange,
  ChaikinVolatility, Keltner, Donchian, PSAR, SuperTrend,
  ChandelierExit, ChandeKrollStop, ATRTrailingStop, ADX, Aroon,
  AroonOscillator, Vortex, MassIndex, ChoppinessIndex, CCI, WilliamsR,
  AwesomeOscillator, AcceleratorOscillator, UltimateOscillator,
  BalanceOfPower, OBV, MFI, VWAP, RollingVWAP, VWMA, ADL, VPT, CMF,
  ChaikinOscillator, ForceIndex, EaseOfMovement, TypicalPrice,
  MedianPrice, WeightedClose, Stochastic.

- `fuzz/Cargo.toml` registers the new target; `fuzz/README.md`
  describes both expanded targets.

- A `fuzz-smoke` CI job runs each of the five targets for 30 s on
  every push and pull-request — enough to catch a regression in the
  harness without slowing CI to a crawl. Long fuzz campaigns belong
  on dedicated infrastructure with persistent corpora.
2026-05-23 10:33:05 +02:00
kingchenc 0995f8d66a fix(psar): correct is_ready convention and use NaN sentinels (R6, B-Opus-1)
`Psar::is_ready` previously returned `self.initialised`, which flips to
`true` *after* the seed candle — but the seed candle itself returns
`None`. The contract every other indicator honours is
`is_ready() == true` ↔ "the most recent update produced (or could
produce) a real value". Streaming consumers writing
`if ind.is_ready() { use(ind.update(c)?) }` would hit an unexpected
`None` on the first post-seed update.

Fix: add a `has_emitted: bool` field that flips on the first
`Some(sar)` return; `is_ready` now reads that. New test
`is_ready_only_after_first_some_value` pins the contract.

While in the same file, `reset()` is corrected to restore the compute
fields (`prev_high`, `prev_low`, `sar`, `ep`) to `f64::NAN` sentinels
instead of `0.0` (Opus bonus finding). The fields are gated by
`initialised` today, so the `0.0` sentinel never leaked into output —
but a future refactor that read them pre-init would have silently
treated `0.0` as a real price. A `debug_assert!` at the read site makes
the invariant explicit and catches a re-introduction of the bug in
debug builds.

Bit-equivalence with the previous behaviour is preserved
(`reset_allows_clean_reuse` and `batch_equals_streaming` continue to
pass unchanged).
2026-05-23 10:28:18 +02:00
kingchenc a530f1b4cb perf(ulcer-index): track trailing max with a monotone deque (R1, B-Opus-2)
`UlcerIndex::update` previously scanned the full `period`-window every
tick via `prices.iter().fold(NEG_INFINITY, f64::max)`, breaking the
`Indicator` trait's O(1) contract. For long windows (e.g. period 50+ on
a live tick stream) this turned a constant-time update into an O(period)
one, and full-history batch replays into O(n · period).

The window of raw prices is replaced with a monotonically-decreasing
deque of `(index, price)` pairs. On every push, all back entries
`<= input` are popped (they can never be the trailing max again, since
they are dominated and at least as old). On every step, the front is
popped if its index is older than `count - period + 1`. The deque's
front is therefore always the trailing max in O(1). `count: u64` is the
1-based input counter that drives expiration; on `reset()` it returns
to zero alongside the deque and the drawdown state.

Behaviour is unchanged: same per-tick values, same warmup
(`2 * period - 1`), same non-finite-input semantics. A new test
`monotone_deque_matches_naive_max_on_adversarial_inputs` compares the
deque output bar-by-bar against an independent O(n) trailing-max scan on
inputs designed to hit every code path: strictly increasing (full tail
pops), strictly decreasing (head expirations only), constants (the
`<= input` pop rule keeps a single newest entry), and a sawtooth.

The doc comment on `warmup_period()` is also corrected (B-Opus-2): the
two windows overlap by one bar, so the formula is `2 * period - 1`, not
`2 * period`.
2026-05-23 01:46:24 +02:00
kingchenc efcd6216c1 feat(bindings): expose RollingVWAP in Python, Node and WASM (R4)
The rolling-window VWAP indicator (`wickra_core::RollingVwap`) was only
available in the Rust crate, even though the README's Volume-family
table already advertised "VWAP (cumulative + rolling)" as a cross-
language feature. Users on Python, Node or in the browser had to fall
back to the cumulative `VWAP` or re-implement the rolling variant
themselves.

This commit closes the gap end-to-end:

- Python: `wickra.RollingVWAP(period)` — same constructor / `update` /
  `batch` / `reset` / `is_ready` / `warmup_period` surface as `VWAP`,
  plus a `period` property and a typed `__repr__`. The `__init__.py`
  re-exports it and `__all__` lists it; the `.pyi` stub matches.
- Node: `RollingVWAP(period)` — napi class with the same lifecycle,
  exported from `index.js` and declared in `index.d.ts`.
- WASM: `RollingVWAP(period)` — wasm-bindgen class with the same
  `Float64Array` I/O as `VWAP`.

Tests added:

- Python: `test_rolling_vwap_streaming_matches_batch` — exercises
  `update == batch` plus the full lifecycle on the shared OHLC fixture.
- Node: `RollingVWAP` row in the `candleScalar` parity table — covered
  by the generic streaming-vs-batch + lifecycle harness.
- WASM: dedicated `wasm-bindgen-test` mirrors the Python test.

The wiki page `Indicator-Vwap.md` drops the "Rust-only" caveat and
gains Python / Node / WASM examples.
2026-05-23 01:43:00 +02:00
kingchenc 3a6b5ebae3 feat(wasm): expose streaming update/isReady/warmupPeriod for 12 candle indicators (R3, R8)
Twelve WASM classes previously exposed only `batch()` (and not even
`reset()` for ten of them): ADX, WilliamsR, CCI, MFI, PSAR, Keltner,
Donchian, VWAP, AwesomeOscillator, Aroon, Stochastic, OBV. Browser
consumers wanting per-tick updates had to replay `batch()` on every new
candle — the opposite of the library's streaming-first promise.

Each class now exposes:

- `update(...)` — per-tick streaming update with the same column inputs
  as `batch()`. Single-output indicators return `Option<f64>`. Multi-
  output indicators (ADX, Keltner, Donchian, Aroon, Stochastic) return a
  named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
  `{ up, down }`, `{ k, d }`) once warm, or `null` during warmup. This
  matches the existing `SuperTrend` convention so JS code can treat all
  multi-output WASM indicators uniformly.
- `reset()`, `isReady()`, `warmupPeriod()` — bring the lifecycle API to
  full parity with Python and Node.

`WasmKama` also gains the previously missing `warmupPeriod()` (R8). A
single new `wasm-bindgen-test` exercises every newly wired class against
a deterministic 40-bar synthetic OHLCV stream, asserting that
streaming `update` matches `batch` value-by-value and that the lifecycle
contract behaves the same as the core indicator.
2026-05-23 01:34:54 +02:00
kingchenc c99cf54a1f fix(security): upgrade pyo3 and numpy to 0.28, fix RUSTSEC-2025-0020
Bumps the Python binding from pyo3 0.22 / numpy 0.22 to 0.28 / 0.28,
which resolves RUSTSEC-2025-0020 — a buffer overflow in
`PyString::from_object` that affected every published Python wheel.

Migration:

- `into_pyarray_bound(py)` → `into_pyarray(py)` (numpy 0.23 dropped the
  `_bound` transitional suffix; the method now returns `Bound<'py, _>`
  directly).
- `downcast::<PyDict>` → `cast::<PyDict>` (pyo3 renamed the method on
  `PyAnyMethods`).
- Every `#[pyclass]` declares `skip_from_py_object` to opt out of the
  now-deprecated automatic `FromPyObject` derive for `Clone` types.
  Indicators are stateful — silently extracting them by value-clone is
  never the intended FFI semantics.
- Workspace clippy gains `unused_self = "allow"` on the python crate
  only: Python's `__repr__` protocol forces `&self` even for parameter-
  less indicators where the body does not read state.
- `map_err` arms collapsed into a single `PyValueError` arm
  (clippy::match_same_arms).

`deny.toml` no longer suppresses RUSTSEC-2025-0020; `cargo deny check`
is green on advisories, bans, licenses and sources without exceptions.
2026-05-23 01:26:55 +02:00
kingchenc 2bc6cc5505 docs: round out the docs for Z7's example additions
* examples/README.md — replace the single-row WASM section with a build
  block (one-time `wasm-pack` build), a serve note, and the full
  five-row table (`index`, `backtest`, `live_trading`, `multi_timeframe`,
  `parallel_assets`).
* examples/wasm/README.md — new dedicated index for the WASM demos
  with the build and serve commands and a description of every file
  including the module worker companion.
* CHANGELOG.md `[Unreleased]` gains three bullets: the Python and Node
  `fetch_btcusdt` siblings; the four new WASM browser demos; and the
  three new wiki pages from Z6 (TA-Lib-Migration, Cookbook, FAQ).
2026-05-23 00:45:51 +02:00
kingchenc 6e3190a44a examples(wasm): add a browser parallel-assets demo via Web Workers
Close the final "parallel assets" cell of the cross-language matrix for
WASM.

* examples/wasm/parallel_assets.html — generates a synthetic
  `(assets, bars)` panel deterministically (the LCG matches the Node
  and Rust siblings so timings are directly comparable), runs the
  serial baseline on the main thread, then dispatches the same workload
  to a pool of module Workers and reports the speedup. The render is
  three cards (serial / parallel / speedup) plus a sanity-check line
  asserting per-asset agreement between the two paths.
* examples/wasm/parallel_worker.js — companion module worker that
  loads its own copy of the WebAssembly module via `init()` and
  processes whichever slice of the panel its parent dispatches.

Modern browsers ship module-worker support (`new Worker(url, {
type: "module" })`) which lets every worker do `import init, { SMA, RSI
} from "../../bindings/wasm/pkg/wickra_wasm.js"` without bundler
glue. The inline page module and the worker module both syntax-check
cleanly under `node --check`.
2026-05-23 00:45:01 +02:00
kingchenc 04c3a83fdb examples(wasm): add a browser multi-timeframe demo
Close the "multi-timeframe" cell of the cross-language matrix for WASM.

* examples/wasm/multi_timeframe.html — fetches the bundled 1-minute
  BTCUSDT CSV (or any 1-minute OHLCV CSV), rolls it up in-page to 5m,
  15m, 1h, 4h and 1d buckets, and prints RSI(14), MACD(12,26,9)
  histogram and ADX(14) per timeframe via the WebAssembly bindings.
  Same inline-bucket aggregation as the Node sibling, same indicator
  set as the Python and Rust siblings — the Rust version uses
  `wickra-data::Resampler` directly which is currently a Rust-only API.

The render is a single table (one row per timeframe) so the cross-
language outputs sit side-by-side cleanly. The inline module script
syntax-checks cleanly under `node --check`.
2026-05-23 00:43:54 +02:00
kingchenc c87a16953b examples(wasm): add a browser live-trading demo
Close the "live trading" cell of the cross-language matrix for WASM.

* examples/wasm/live_trading.html — opens a native browser `WebSocket`
  to Binance's public kline stream, feeds every close through RSI(14),
  MACD(12,26,9) and Bollinger(20, 2.0) via the WebAssembly bindings, and
  flags BUY/SELL candidates when all three indicators agree. Mirrors
  the Node and Python live-trading examples in indicator set, signal
  logic and symbol/interval validation — the symbol is checked against
  `^[A-Za-z0-9]+$` before being spliced into the stream URL, the
  interval against the public-API allow-list.

The UI shows live close / RSI / MACD-histogram / Bollinger-band cards,
plus a scrolling log of the last 200 ticks with signal rows highlighted.
Browser-native `WebSocket` means no library dependency. Build the WASM
module once (`wasm-pack build bindings/wasm --target web --release
--features panic-hook`), serve the repository root and open
`examples/wasm/live_trading.html`.
2026-05-23 00:43:05 +02:00
kingchenc 5ea36a6064 examples(wasm): add a browser backtest demo
The WASM example set had only `index.html` (the streaming canvas demo);
the "backtest" cell of the cross-language matrix was empty. Close it.

* examples/wasm/backtest.html — loads the wasm-pack `--target web`
  bundle, fetches an OHLCV CSV from the same `examples/data/` directory
  the other languages use (default: `btcusdt-1d.csv`), parses it
  in-page and streams every candle through SMA, EMA, RSI, MACD,
  Bollinger, ATR, ADX and OBV via the WebAssembly bindings. Renders a
  summary table with mean / min / max / last per series — mirrors the
  Rust, Python and Node backtest examples both in indicator set and in
  output shape.

Build the WASM module once (`wasm-pack build bindings/wasm --target web
--release --features panic-hook`), then serve the repository root and
open `examples/wasm/backtest.html`. The inline module script
syntax-checks cleanly under `node --check` on the extracted body.
2026-05-23 00:42:14 +02:00
kingchenc 303ff0a163 examples(node): add a fetch_btcusdt script using built-in fetch
Node had no sibling for the Rust and Python `fetch_btcusdt`
data-generators — adding it closes the "fetch (data-gen)" cell for the
last remaining row of the cross-language example matrix where the
pattern makes sense.

* examples/node/fetch_btcusdt.js — uses Node 18+'s built-in global
  `fetch` (no npm dependencies); same pagination logic as the Rust and
  Python siblings (paginate backwards via `endTime`, drop the
  in-progress bucket, sort and trim to the configured target). Applies
  the same OHLC validity check the Rust `Candle::new` constructor
  enforces so a malformed kline is skipped rather than written.
* JavaScript's `String(v)` already gives the shortest round-trip
  representation and strips the `.0` suffix for whole-number floats, so
  the CSV output is byte-for-byte identical to what the Rust and
  Python fetchers produce on the same Binance snapshot. Verified by
  running it and `git diff`-ing against the checked-in dataset: every
  row older than the run is unchanged; only the most recent ~24 hours
  drift because the market kept moving.

examples/README.md gains the new row.
2026-05-23 00:40:27 +02:00
kingchenc b948b0b9cf examples(python): add a stdlib-only fetch_btcusdt script
Python had no sibling for the Rust `fetch_btcusdt` data-generator —
adding it closes the "fetch (data-gen)" cell for Python and lets users
without a Rust toolchain regenerate the bundled BTCUSDT datasets.

* examples/python/fetch_btcusdt.py — uses only the standard library
  (urllib.request + json + csv); same pagination strategy as the Rust
  version (paginate backwards via `endTime`, drop the in-progress
  bucket, sort and trim to the configured target). Applies the same
  OHLC validity check the Rust `Candle::new` constructor enforces
  (finite fields, high >= low/open/close, low <= open/close,
  volume >= 0) so a malformed kline is skipped rather than written.
* Number formatting matches Rust's `f64` Display: shortest round-trip,
  no trailing `.0` for whole-number floats. Verified by running the
  script and `git diff`-ing against the checked-in dataset: every row
  older than the run is byte-identical to Rust's output; the diff only
  shows the most recent ~24 hours where Binance has produced fresh
  candles since the original snapshot.

examples/README.md gains the new row.
2026-05-23 00:38:38 +02:00
kingchenc a707eb5d62 docs: refresh the cross-library benchmark numbers
The README and Streaming-vs-Batch benchmark tables were a stale snapshot
("5 000-bar series", numbers from an older machine). Re-run
`python -m benchmarks.compare_libraries` on the current hardware against
the same peer set (finta + talipp; TA-Lib and pandas-ta stay excluded on
Windows) and replace the tables with the fresh numbers.

The new run uses the script's current defaults: a 20 000-bar batch series
and a 5 000-bar seed + 15 000-bar live streaming workload — both more
representative of real backtests than the previous 5 000 / 2 000-bar
sizes. Wickra still wins every batch row outright (3.5× to 1 244× faster
than the nearest peer) and the streaming RSI is ~13.8× faster than
talipp's incremental implementation.
2026-05-23 00:24:41 +02:00
kingchenc 8b4a847d24 docs(wiki): add Cookbook, TA-Lib migration table and FAQ
Three content gaps in the wiki: there was no migration story for users
porting from TA-Lib, no strategy cookbook, and no FAQ. Add all three as
self-contained pages and link them from Home.md's "Wiki contents".

* docs/wiki/TA-Lib-Migration.md — full one-to-one mapping table from
  every common talib.X(...) call to the equivalent Wickra expression,
  plus a "what Wickra has that TA-Lib does not" / "what TA-Lib has that
  Wickra does not (yet)" delta.
* docs/wiki/Cookbook.md — seven concrete strategy recipes (RSI mean
  reversion, MACD histogram crossover, Bollinger breakout, ADX-gated
  trend, multi-timeframe confirmation, SuperTrend trailing stop,
  Chain<EMA, RSI>) with Rust or Python snippets.
* docs/wiki/FAQ.md — common questions on warmup, NaN handling, thread
  safety, installation, performance and comparing Wickra to TA-Lib /
  pandas-ta / talipp / finta.

Also extend the [Unreleased] CHANGELOG entry that records the
examples/<lang>/ restructure with the wiki additions; Home.md gains
three new bullets under "Wiki contents".
2026-05-23 00:23:00 +02:00
kingchenc 43b0b26736 examples: add parallel-assets demos for Rust and Node
Python's parallel_assets.py demoed GIL-release multi-core throughput;
Rust and Node both lacked a sibling that shows their own native
parallelism. Close the gap with two real, runnable examples.

* examples/rust/src/bin/parallel_assets.rs — synthesises an (assets,
  bars) panel with a deterministic per-asset LCG, runs a serial baseline,
  then `Sma::batch_parallel` / `Rsi::batch_parallel` via rayon, asserts
  the two outputs are element-wise identical and prints the speedup.
  Toggle indicator with `--indicator sma|rsi`.
* examples/node/parallel_assets.js — same shape, but the parallel run is
  a `worker_threads` pool that re-loads the native binding in each
  worker. Each worker computes the last non-null indicator value for its
  slice; the main thread aggregates and verifies serial == parallel
  per asset.

Both examples report timings and the serial-vs-parallel sanity check
passes. Defaults (200 × 5000) keep the example fast on dev hardware;
larger `--assets`/`--bars` is where the speedup numbers move (Node's
worker spawn cost dominates the smallest sizes, which is honest and
educational).

examples/README.md gains the two new rows.
2026-05-23 00:18:46 +02:00
kingchenc 962ced0712 examples: add multi-timeframe demos for Rust and Node
Python's examples/python/multi_timeframe.py had no Rust or Node sibling.
Add both — the Rust version uses wickra-data's `Resampler` /
`resample_all` (the canonical path; no manual roll-up), the Node version
mirrors the Python one's inline aggregation because wickra-data's
resampler is currently Rust-only.

* examples/rust/src/bin/multi_timeframe.rs — reads the bundled 1m CSV via
  `CandleReader`, resamples to 5m / 15m / 1h / 4h / 1d via `resample_all`,
  prints last RSI(14), MACD(12,26,9) histogram and ADX(14) per timeframe.
* examples/node/multi_timeframe.js — same outputs from a hand-rolled
  bucket aggregator; reuses the new examples/data/ default path.
* examples/README.md gains the new rows.

Run side by side: the Rust and Node summaries are bit-identical at every
timeframe (50000 / 10000 / 3334 / 834 / 209 / 35 bars; same RSI, MACD
histogram and ADX to two decimals) — confirming both the Rust resampler
and the inline Node aggregator produce the same OHLC buckets.
2026-05-23 00:16:08 +02:00
kingchenc 5a4cf66022 examples: add streaming demos for Python and Rust
Python and Rust both lacked a standalone "streaming indicators" example
that mirrors examples/node/streaming.js — the quickstart docs cover the
pattern, but a runnable file makes the parity visible across all four
languages.

* examples/python/streaming.py — argparse-driven synthetic streaming demo
  feeding SMA(20) / EMA(20) / RSI(14) / MACD(12,26,9), tagging BUY?/SELL?
  candidates when RSI extremes and MACD-histogram direction agree.
* examples/rust/src/bin/streaming.rs — same demo as a wickra-examples
  binary, reusing the seeded LCG so its first 40 rows are bit-identical
  to the Python (and Node) sibling — a strong cross-language consistency
  signal verified by running both side by side.
* examples/README.md gains a `streaming` row in the Rust and Python tables.
2026-05-23 00:13:38 +02:00
kingchenc d87005577e examples: move the WASM browser demo into a top-level examples/wasm/
Finish the per-language `examples/<lang>/` restructure by relocating the
WASM browser demo from bindings/wasm/examples/ to examples/wasm/.

* `examples/wasm/index.html` is the moved file; its WASM module import
  becomes `../../bindings/wasm/pkg/wickra_wasm.js` so the demo still loads
  the wasm-pack output without copying it.
* bindings/wasm/README.md, Quickstart-WASM.md, examples/README.md and the
  root README "Languages" + project-layout block all point at the new
  path. The serve command in the docs now says "serve the repository root
  and open examples/wasm/index.html".

`bindings/wasm/examples/` is empty after the move; the now-empty
directory is removed.
2026-05-23 00:11:07 +02:00
kingchenc 8b9e8e30b9 examples: move Node examples into a top-level examples/node/
Continue the per-language `examples/<lang>/` restructure: move the three
Node example files (streaming.js, backtest.js, live_trading.js) out of
bindings/node/examples/ and into a top-level examples/node/ directory.

* `examples/node/package.json` is a `private` package that pulls the
  native binding via `file:../../bindings/node` and lists `ws` as a
  dev-dependency for the live-trading example. `require('..')` in each
  file becomes `require('wickra')` — exactly what a downstream user would
  write — and the file-header run instructions are updated to the new
  two-step workflow (`npm install` in bindings/node, then in
  examples/node).
* `backtest.js`'s default-CSV path becomes the much shorter
  `__dirname/../data/btcusdt-1d.csv` from the new location.
* `bindings/node/package.json` drops the now-unused `ws` devDependency.
* `.gitignore` is broadened from `bindings/node/node_modules/` to
  `**/node_modules/` so the new `examples/node/node_modules/` directory is
  not tracked.
* The README "Languages" table, project-layout block and
  `examples/README.md` Node section are updated for the new paths and run
  commands.

Verified by running `node backtest.js` (3200 BTCUSDT daily bars, matching
output), `node streaming.js`, and `node --check live_trading.js` from the
new location.
2026-05-23 00:10:06 +02:00
kingchenc 747d1a5b1b examples: move Rust examples into a top-level examples/rust/ crate
The three Rust examples (backtest, fetch_btcusdt, live_binance) used to
live each in their own crate's examples/ dir, splitting the example set
across crates and burying it inside the source tree. Move them into a new
workspace member crate at `examples/rust/` (package `wickra-examples`,
`publish = false`) so all language examples sit under one top-level
`examples/<lang>/` tree.

* `examples/rust/Cargo.toml` declares the per-binary deps (wickra,
  wickra-data with the `live-binance` feature always on, serde_json, tokio
  for the macro and current-thread runtime).
* `examples/rust/src/bin/{backtest,fetch_btcusdt,live_binance}.rs` are the
  three migrated binaries; their doc-comments and the fetch_btcusdt output
  path are updated for the new location and run command
  (`cargo run -p wickra-examples --bin <name>`).
* Workspace `Cargo.toml` lists the new member; the now-empty
  `[dev-dependencies]` extras (`wickra`, `tokio` in wickra-data and
  `serde_json` in wickra) that existed only for these examples are dropped.
* The `[[example]] live_binance` table is removed from wickra-data's
  manifest since the file moved out.
* README "Languages" + project-layout, examples/README.md, Quickstart-Rust
  and Data-Layer are pointed at the new paths and commands.

`cargo build -p wickra-examples` and `cargo run --release -p wickra-examples
--bin backtest -- examples/data/btcusdt-1d.csv` both succeed; the rest of
the workspace (core, data, wickra) builds, clippies (`--all-targets -D
warnings`) and tests (508 core + 28 data + 1 integration + 74+3+1
doctests) all stay green.
2026-05-23 00:07:07 +02:00
kingchenc a1c646ae7c examples: move the bundled BTCUSDT datasets to a top-level examples/data/
The seven BTCUSDT OHLCV datasets used to live under
crates/wickra/examples/data/, which buried them inside a Rust crate even
though the Node backtest example and the upcoming Rust/Node/WASM example
restructure need to reach them too. Move them to the workspace-level
examples/data/ so every language's examples can resolve the same path.

The bench (crates/wickra/benches/indicators.rs), the example_data
integration test, fetch_btcusdt.rs and the Node backtest example all take
the new ../../examples/data/ path; Data-Layer.md, examples/README.md and
the CHANGELOG entry are updated to match. No data file content changes.
2026-05-23 00:01:52 +02:00
kingchenc ba10898801 docs: add a cross-language examples index
The top-level examples/ directory held only python/, which made the
examples look Python-only even though Rust, Node and WASM all ship their
own. Add examples/README.md: a single index of every runnable example
across Rust, Python, Node and WASM, each with its run command, plus a note
on the bundled BTCUSDT datasets.

Point the README "Languages" table at the Node backtest example and link
the new index from both the table and the project-layout section.
2026-05-22 22:47:13 +02:00
kingchenc 25454fa89a examples(node): add a live Binance trading example
Mirror examples/python/live_trading.py for the Node binding: connect to the
public Binance kline WebSocket, stream close prices through RSI / MACD /
Bollinger Bands, and print BUY/SELL candidate signals when all three agree.
The symbol and interval are validated before being spliced into the stream
URL, and non-kline frames (acks, heartbeats) are skipped.

Uses the standard `ws` package, added as a devDependency so it installs
with `npm install` for anyone running the examples but never reaches a
consumer of the published package.
2026-05-22 22:45:52 +02:00
kingchenc 2eabda5fa3 examples(node): add an offline backtest example
The Node binding shipped only one example (a synthetic streaming demo),
while Python and Rust both have a CSV backtest. Add the Node counterpart of
examples/python/backtest.py and crates/wickra/examples/backtest.rs: it reads
an OHLCV CSV, streams every candle through a basket of indicators (SMA, EMA,
RSI, MACD, Bollinger Bands, ATR, ADX, OBV) via the O(1) update call, and
prints a per-series summary.

With no argument it runs against the bundled BTCUSDT daily dataset, so it is
runnable out of the box; pass a path to use any other OHLCV CSV.
2026-05-22 22:43:21 +02:00
kingchenc c6938e8473 docs: refresh the stale Python and Node binding READMEs
The Python binding README still advertised "63 indicators across four
families" with the pre-restructure five-group taxonomy, missing the eight
indicators added since. Update it to "71 indicators across eight families"
with the catalogue grouped to match the main README.

The Node binding README referred to the package as @wickra/wickra in its
title, install command and import example; the published package is named
wickra (per bindings/node/package.json). Correct all three.
2026-05-22 22:21:49 +02:00
kingchenc 91f24946a6 docs(changelog): record the example datasets and Timeframe constructors
Add the still-unreleased Z1/Z2 work to the [Unreleased] section: the seven
real-BTCUSDT example datasets plus the fetch_btcusdt example, the
Timeframe::minutes/hours/days constructors, and the switch of the indicator
benchmarks from a synthetic series to the checked-in BTCUSDT dataset.
2026-05-22 22:20:26 +02:00
kingchenc d5ff0a9df6 wickra-data: add minutes/hours/days Timeframe constructors
Timeframe gained new/millis/seconds/one_minute_ms; add minutes, hours and
days alongside them. Each builds on seconds (minutes(5) -> a 300-second
bucket), consistent with Timeframe::seconds, and guards the multiplication
with checked_mul so an oversized n yields Error::InvalidTimeframe instead
of an overflow panic. A non-positive n is rejected by Timeframe::new.

Each method carries a runnable doctest, and unit tests cover the known
bucket sizes, non-positive rejection and overflow rejection.
2026-05-22 21:49:21 +02:00
kingchenc 2b3a1b7384 examples: add real BTCUSDT candle datasets from Binance
Add seven OHLCV datasets under crates/wickra/examples/data/, one per
timeframe (1m/5m/15m/1h/12h/1d/1month), holding real BTCUSDT spot klines
fetched from the Binance REST API. The new fetch_btcusdt example
regenerates them: it paginates the klines endpoint through the system
curl, parses with serde_json, validates every candle via Candle::new and
keeps only fully closed buckets.

The indicator benchmarks now run against the 1m dataset instead of a
synthetic series, and a new example_data integration test checks that
every file parses and carries evenly spaced, monotonic timestamps.

The monthly file is named btcusdt-1month.csv rather than btcusdt-1M.csv
so it does not collide with btcusdt-1m.csv on case-insensitive
filesystems (Windows, default macOS).
2026-05-22 21:47:17 +02:00
kingchenc d2f99efd78 F13c: restructure the indicator catalogue into eight families
The original taxonomy was four classical families plus a statistics group,
with the F1-F12 expansion slotted in as sub-categories. This regroups the
whole 71-indicator catalogue into eight top-level families, each with at
least five members:

  Moving Averages (12), Momentum Oscillators (13), Trend & Directional (9),
  Price Oscillators (5), Volatility & Bands (12), Trailing Stops (5),
  Volume (9), Price Statistics (7).

- Wiki: docs/wiki/indicators/ reorganised into eight family folders; all 71
  indicator pages moved with `git mv`. Every internal cross-link is
  normalised to `../<family>/Indicator-X.md`, each page's `Family` field is
  set to its new family, and two pre-existing `../Indicator-Chaining.md`
  links (should have been `../../`) are corrected. A link check confirms
  every relative wiki link resolves.
- Indicators-Overview.md fully rewritten around the eight families;
  Home.md indicator reference and the README family table follow suit.
- Warmup-Periods.md gains the eight F13 indicators; CHANGELOG records the
  46-indicator expansion (25 -> 71) and the eight-family taxonomy.
- Tests: Node indicators.test.js and Python test_new_indicators.py cover
  all eight new indicators (Node 91/91, Python 117/117 green).

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests,
25 data tests and 74 doctests green.
2026-05-22 21:21:56 +02:00
kingchenc 6643f7a81d F13b: add True Range, Chaikin Volatility, Z-Score and Linear Regression Angle
Second half of the eight indicators that fill out the new family taxonomy.

- Rust core: true_range.rs (TrueRange — the raw single-bar volatility ATR
  averages), chaikin_volatility.rs (ChaikinVolatility — rate of change of a
  smoothed high-low spread), z_score.rs (ZScore — price normalised against
  its rolling mean and standard deviation) and linreg_angle.rs (LinRegAngle
  — the rolling regression slope as a degree angle). Each with a full
  Indicator impl, runnable doctest and reference / property / warmup /
  reset / batch==streaming tests.
- Python / Node / WASM: classes wired through all three bindings (ZScore
  and LinRegAngle ride the scalar macros where possible) plus .pyi stubs
  and __init__.py / __all__ entries.
- Wiki: four new Indicator-*.md pages.

The eight-family taxonomy restructure (Overview / Home / README / folder
layout) lands next in F13c.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests,
25 data tests and 74 doctests green.
2026-05-22 21:06:36 +02:00
kingchenc e452d35a27 F13a: add Accelerator Oscillator, Balance of Power, Choppiness Index and Vertical Horizontal Filter
First half of the eight indicators that fill out the new family taxonomy.

- Rust core: accelerator_oscillator.rs (AcceleratorOscillator — AO minus a
  short SMA of itself), balance_of_power.rs (BalanceOfPower — per-bar
  (close-open)/(high-low)), choppiness_index.rs (ChoppinessIndex — summed
  true range over the high-low span, log-scaled) and
  vertical_horizontal_filter.rs (VerticalHorizontalFilter — net move over
  total move). Each with a full Indicator impl, runnable doctest and
  reference / property / warmup / reset / batch==streaming tests.
- Python / Node / WASM: classes wired through all three bindings
  (BalanceOfPower carries an explicit open column; VHF rides the scalar
  macros) plus .pyi stubs and __init__.py / __all__ entries.
- Wiki: four new Indicator-*.md pages.

The eight-family taxonomy restructure (Overview / Home / README / folder
layout) lands in F13c once F13b's four indicators are in.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 481 core tests,
25 data tests and 70 doctests green.
2026-05-22 20:57:52 +02:00
kingchenc 27f37f5347 docs(python): refresh the binding README's indicator list to 63
The Python binding README still advertised the original 25 indicators and
the four-family list. Bring it in line with the root README: 63 indicators
across the four classical families plus the statistics group.
2026-05-22 20:31:52 +02:00
kingchenc 2f3b5cc3be F-Abschluss: wire the Python package, refresh docs and extend the test suites
Finalises the F1-F12 indicator expansion (25 -> 63 indicators).

- Python `wickra/__init__.py`: import and re-export all 63 indicators,
  grouped by family, with a matching `__all__`. The package previously
  exposed only the original 25 even though the compiled module and the
  `.pyi` stubs already carried the rest.
- Docs: `Home.md` and `README.md` indicator counts and family tables
  updated to 63; `Indicators-Overview.md` already restructured per family
  in F10-F12; `Warmup-Periods.md` gains all 38 new indicators across the
  single- and multi-output tables (and the stale two-arg `Psar::new`
  example is corrected to three args); `CHANGELOG.md` `[Unreleased]` lists
  every new indicator by family.
- Tests: `bindings/node/__tests__/indicators.test.js` covers all 63
  indicators (streaming==batch plus four new reference-value checks),
  80/80 green; new `bindings/python/tests/test_new_indicators.py` covers
  the 38 additions (streaming==batch, shapes, reference values,
  lifecycle), Python suite 105/105 green.
- `bindings/node/index.js` regenerated by `napi build`.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 454 core tests,
25 data tests, 66 doctests, 80 Node tests and 105 Python tests green;
`cargo check -p wickra-wasm --tests` green.
2026-05-22 20:04:13 +02:00
kingchenc 2d0ee926c5 F12: add price transforms and rolling linear regression
- Rust core: typical_price.rs ((H+L+C)/3), median_price.rs ((H+L)/2),
  weighted_close.rs ((H+L+2C)/4) — stateless per-bar OHLC transforms — and
  linreg.rs (LinearRegression — endpoint of a rolling ordinary-least-squares
  fit) and linreg_slope.rs (LinRegSlope — slope of that fit). Each with a
  full Indicator impl, runnable doctest and reference / property / warmup /
  reset / batch==streaming tests.
- Python: PyTypicalPrice / PyMedianPrice / PyWeightedClose /
  PyLinearRegression / PyLinRegSlope PyO3 classes + module registration +
  .pyi stubs.
- Node: explicit TypicalPriceNode / MedianPriceNode / WeightedCloseNode /
  LinearRegressionNode / LinRegSlopeNode; index.d.ts and index.js updated.
- WASM: explicit WasmTypicalPrice / WasmMedianPrice / WasmWeightedClose;
  WasmLinearRegression / WasmLinRegSlope via the scalar macro.
- Wiki: a new indicators/statistics/ folder with five Indicator-*.md pages,
  a new "Statistics" family in Indicators-Overview.md and Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 454 core tests,
25 data tests and 66 doctests green.
2026-05-22 19:52:04 +02:00
kingchenc 21bbd521b3 F11: add SuperTrend, Chandelier Exit, Chande Kroll Stop and ATR Trailing Stop
- Rust core: super_trend.rs (SuperTrend — ATR-banded trailing stop with
  flip logic; SuperTrendOutput { value, direction }), chandelier_exit.rs
  (Chandelier Exit — ATR stop hung off the window's highest high / lowest
  low; ChandelierExitOutput { long_stop, short_stop }),
  chande_kroll_stop.rs (Chande Kroll Stop — a two-stage ATR stop;
  ChandeKrollStopOutput { stop_long, stop_short }), atr_trailing_stop.rs
  (ATR Trailing Stop — a single ratcheting close-based stop). Each with a
  full Indicator impl, runnable doctest and reference / property / warmup
  / reset / batch==streaming tests.
- Python: PySuperTrend / PyChandelierExit / PyChandeKrollStop /
  PyAtrTrailingStop PyO3 classes (struct outputs as tuples and (n, 2)
  arrays) + module registration + .pyi stubs.
- Node: explicit SuperTrendNode / ChandelierExitNode / ChandeKrollStopNode
  / AtrTrailingStopNode with SuperTrendValue / ChandelierExitValue /
  ChandeKrollStopValue objects; index.d.ts and index.js updated.
- WASM: WasmSuperTrend / WasmChandelierExit / WasmChandeKrollStop /
  WasmAtrTrailingStop.
- Wiki: Indicator-SuperTrend/ChandelierExit/ChandeKrollStop/
  AtrTrailingStop.md plus rows in the "Trailing stop" table of
  Indicators-Overview.md and entries in Home.md.
- Add clippy.toml with doc-valid-idents for the proper noun "LeBeau".

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 427 core tests,
25 data tests and 61 doctests green.
2026-05-22 19:42:14 +02:00
kingchenc 0b11a523a0 F10: add Chaikin Money Flow, Chaikin Oscillator, Force Index and Ease of Movement
- Rust core: cmf.rs (Chaikin Money Flow — summed money-flow volume over
  summed volume, bounded to [-1, +1]), chaikin_oscillator.rs (Chaikin
  Oscillator — the MACD of the ADL, EMA(ADL, fast) - EMA(ADL, slow)),
  force_index.rs (Elder's Force Index — EMA of price change scaled by
  volume), ease_of_movement.rs (Arms' Ease of Movement — SMA of distance
  travelled per unit of volume). Each with a full Indicator impl,
  runnable doctest and reference / property / warmup / reset /
  batch==streaming tests.
- Python: PyChaikinMoneyFlow / PyChaikinOscillator / PyForceIndex /
  PyEaseOfMovement PyO3 classes + module registration + .pyi stubs.
- Node: explicit ChaikinMoneyFlowNode / ChaikinOscillatorNode /
  ForceIndexNode / EaseOfMovementNode; index.d.ts and index.js updated.
- WASM: WasmChaikinMoneyFlow / WasmChaikinOscillator / WasmForceIndex /
  WasmEaseOfMovement.
- Wiki: Indicator-ChaikinMoneyFlow/ChaikinOscillator/ForceIndex/
  EaseOfMovement.md plus a new "Oscillators" sub-table in
  Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 402 core tests,
25 data tests and 57 doctests green.
2026-05-22 19:25:32 +02:00
kingchenc 81962485af F9: add Accumulation/Distribution Line and Volume-Price Trend
Completes the F9 family (Cumulative volume) end to end:

- Rust core: adl.rs (Accumulation/Distribution Line — cumulative
  range-weighted volume) and vpt.rs (Volume-Price Trend — cumulative
  volume scaled by percentage price change). Each with a full Indicator
  impl, runnable doctest and reference / cumulative-property / warmup /
  reset / batch==streaming tests.
- Python: PyAdl / PyVolumePriceTrend PyO3 classes + module registration
  + .pyi stubs (no parameters, like OBV/VWAP).
- Node: explicit AdlNode and VolumePriceTrendNode; index.d.ts and
  index.js updated.
- WASM: WasmAdl and WasmVolumePriceTrend.
- Wiki: Indicator-Adl.md and Indicator-VolumePriceTrend.md plus rows in
  Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 373 core tests,
25 data tests and 53 doctests green.
2026-05-22 18:38:21 +02:00
kingchenc 99dd144576 F8: add Bollinger Bandwidth and %b
Completes the F8 family (Bands & channels) end to end:

- Rust core: bollinger_bandwidth.rs ((upper - lower) / middle — the
  squeeze gauge) and percent_b.rs ((price - lower) / (upper - lower) —
  price position within the bands, unclamped). Both wrap BollingerBands
  and carry a full Indicator impl, runnable doctest and reference /
  constant-series / definition-consistency / warmup / reset /
  batch==streaming tests.
- Python: PyBollingerBandwidth / PyPercentB PyO3 classes + module
  registration + .pyi stubs (defaults (20, 2.0)).
- Node: explicit BollingerBandwidthNode and PercentBNode; index.d.ts
  and index.js updated.
- WASM: WasmBollingerBandwidth / WasmPercentB via the scalar macro.
- Wiki: Indicator-BollingerBandwidth.md and Indicator-PercentB.md plus
  rows in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 362 core tests,
25 data tests and 51 doctests green.
2026-05-22 18:30:49 +02:00
kingchenc 6c58d3827c F7: add NATR, StdDev, Ulcer Index and Historical Volatility
Completes the F7 family (Volatility) end to end:

- Rust core: natr.rs (ATR as a percentage of close), std_dev.rs
  (rolling population standard deviation), ulcer_index.rs (RMS of
  trailing-high drawdowns — downside-only risk), historical_volatility.rs
  (annualised sample stddev of log returns). Each with a full Indicator
  impl, runnable doctest and reference / constant-series / warmup /
  reset / batch==streaming tests.
- Python: PyNatr / PyStdDev / PyUlcerIndex / PyHistoricalVolatility
  PyO3 classes + module registration + .pyi stubs.
- Node: StdDevNode / UlcerIndexNode via the scalar macro, explicit
  NatrNode and HistoricalVolatilityNode; index.d.ts and index.js updated.
- WASM: WasmStdDev / WasmUlcerIndex / WasmHistoricalVolatility via the
  scalar macro, explicit WasmNatr.
- Wiki: Indicator-Natr/StdDev/UlcerIndex/HistoricalVolatility.md plus
  rows in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 350 core tests,
25 data tests and 49 doctests green.
2026-05-22 18:26:29 +02:00
kingchenc 16c0639f0c F6: add Aroon Oscillator, Vortex and Mass Index
Completes the F6 family (Trend strength) end to end:

- Rust core: aroon_oscillator.rs (AroonUp - AroonDown, one-line trend
  gauge), vortex.rs (Vortex Indicator VI+/VI- with the VortexOutput
  struct), mass_index.rs (Dorsey's range-expansion sum of the
  EMA-of-range ratio). Each with a full Indicator impl, runnable doctest
  and reference / saturation / warmup / reset / batch==streaming tests.
- Python: PyAroonOscillator / PyVortex / PyMassIndex PyO3 classes +
  module registration + .pyi stubs (defaults Aroon=14, Vortex=14,
  MassIndex=(9,25)).
- Node: explicit AroonOscillatorNode, VortexNode (with VortexValue
  object) and MassIndexNode; index.d.ts and index.js updated.
- WASM: WasmAroonOscillator, WasmVortex, WasmMassIndex.
- Wiki: Indicator-AroonOscillator/Vortex/MassIndex.md plus rows in
  Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 320 core tests,
25 data tests and 45 doctests green.
2026-05-22 18:17:38 +02:00
kingchenc 54148cad5b F5: add PPO, DPO and Coppock Curve price oscillators
Completes the F5 family (Price oscillators) end to end:

- Rust core: ppo.rs (Percentage Price Oscillator — MACD as a percentage
  of the slow EMA), dpo.rs (Detrended Price Oscillator — shifted price
  minus its SMA), coppock.rs (Coppock Curve — WMA of two summed ROCs).
  Each with a full Indicator impl, runnable doctest and reference /
  constant-series / warmup / reset / batch==streaming / non-finite tests.
- Python: PyPpo / PyDpo / PyCoppock PyO3 classes + module registration
  + .pyi stubs (defaults PPO=(12,26), DPO=20, Coppock=(14,11,10)).
- Node: DpoNode via the scalar macro, explicit PpoNode and CoppockNode;
  index.d.ts and index.js updated.
- WASM: WasmDpo / WasmPpo / WasmCoppock via the scalar macro.
- Wiki: Indicator-Ppo/Dpo/Coppock.md plus rows in Indicators-Overview.md
  and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 300 core tests,
25 data tests and 42 doctests green.
2026-05-22 18:09:10 +02:00
kingchenc e24e7726ce F4: add StochRSI and Ultimate Oscillator
Completes the F4 family (Stochastic oscillators) end to end:

- Rust core: stoch_rsi.rs (Stochastic Oscillator applied to the RSI
  series, bounded [0,100]) and ultimate_oscillator.rs (Larry Williams'
  weighted three-timeframe buying-pressure oscillator). Each with a full
  Indicator impl, runnable doctest and reference / saturation / bounds /
  warmup / reset / batch==streaming tests.
- Python: PyStochRsi / PyUltimateOscillator PyO3 classes + module
  registration + .pyi stubs (defaults StochRSI=(14,14), UO=(7,14,28)).
- Node: explicit StochRsiNode and UltimateOscillatorNode; index.d.ts
  and index.js updated.
- WASM: WasmStochRsi via the scalar macro, explicit
  WasmUltimateOscillator.
- Wiki: Indicator-StochRsi.md and Indicator-UltimateOscillator.md plus
  rows in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 278 core tests,
25 data tests and 39 doctests green.
2026-05-22 18:02:44 +02:00
kingchenc 7728151c87 F3: add MOM, CMO, TSI and PMO momentum indicators
Completes the F3 family (Momentum) end to end:

- Rust core: mom.rs (raw price-difference momentum), cmo.rs (Chande
  Momentum Oscillator — unsmoothed gain/loss sum, bounded [-100,100]),
  tsi.rs (True Strength Index — double-EMA-smoothed momentum ratio),
  pmo.rs (DecisionPoint Price Momentum Oscillator — doubly-smoothed ROC
  with the 2/period custom smoothing). Each with a full Indicator impl,
  runnable doctest and reference-value / saturation / warmup / reset /
  batch==streaming / non-finite tests.
- Python: PyMom / PyCmo / PyTsi / PyPmo PyO3 classes + module
  registration + .pyi stubs (defaults MOM=10, CMO=14, TSI=(25,13),
  PMO=(35,20)).
- Node: MomNode / CmoNode via the scalar macro, explicit TsiNode and
  PmoNode; index.d.ts and index.js updated.
- WASM: WasmMom / WasmCmo / WasmTsi / WasmPmo via the scalar macro.
- Wiki: Indicator-Mom/Cmo/Tsi/Pmo.md plus rows in Indicators-Overview.md
  and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 262 core tests,
25 data tests and 37 doctests green.
2026-05-22 17:53:46 +02:00
kingchenc 780a176072 F2: add ZLEMA, T3 and VWMA advanced moving averages
Completes the F2 family (Advanced MAs) end to end:

- Rust core: zlema.rs (Zero-Lag EMA over the de-lagged series
  2·price − price[lag]), t3.rs (Tillson's six-EMA cascade with the
  volume-factor polynomial), vwma.rs (volume-weighted rolling mean with
  a zero-volume fallback to the unweighted mean). Each with a full
  Indicator impl, runnable doctest and reference-value / warmup /
  reset / batch==streaming / non-finite tests.
- Python: PyZlema / PyT3 / PyVwma PyO3 classes + module registration
  + .pyi stubs (T3 defaults v=0.7).
- Node: ZlemaNode via the scalar macro, explicit T3Node and VwmaNode
  classes; index.d.ts and index.js updated.
- WASM: WasmZlema / WasmT3 via the scalar macro, explicit WasmVwma.
- Wiki: Indicator-Zlema.md, Indicator-T3.md, Indicator-Vwma.md plus
  rows in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 232 core tests,
25 data tests and 33 doctests green.
2026-05-22 17:45:02 +02:00
kingchenc ed7324115c F1: wire SMMA and TRIMA through every binding and the wiki
Completes the F1 family (Simple & Weighted MAs). The Rust core for both
SMMA (Wilder's RMA) and TRIMA (triangular MA) already landed; this adds
the remaining Definition-of-Done steps:

- Python: PySmma / PyTrima PyO3 classes + module registration + .pyi stubs.
- Node: SmmaNode / TrimaNode via the scalar-indicator macro; index.d.ts
  and index.js updated for the two new classes.
- WASM: WasmSmma / WasmTrima via the scalar-indicator macro.
- Wiki: Indicator-Smma.md and Indicator-Trima.md (full pages) plus rows
  in Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 208 core tests,
25 data tests and 31 doctests green.
2026-05-22 17:34:38 +02:00
kingchenc abd2d80f8d F1: add SMMA and TRIMA moving averages (core)
First step of the indicator-family expansion (see the F section of
todo-detailed.md). Family F1 — Simple & Weighted MAs — gains two
members alongside the existing Sma/Ema/Wma:

- Smma — Wilder's smoothed moving average (RMA): SMA-seeded, then the
  (prev*(n-1)+x)/n recurrence. The average underlying RSI and ATR.
- Trima — triangular moving average: two stacked SMAs (n1/n2 split by
  parity) that triangular-weight the window. Genuine stacking — the
  outer SMA consumes the inner SMA's output.

Both implement the full Indicator trait with reference-value, warmup,
reset, batch==streaming and non-finite-input tests, a runnable doctest,
and are re-exported from the crate root. 208 core tests + 30 doctests
pass; clippy and fmt clean.
2026-05-22 17:10:52 +02:00
kingchenc 3e8c48eefc fix(wasm): call expect() directly instead of ok().expect() in tests
The WASM binding's test module (added in B6) used `.ok().expect(...)`
on the Result-returning constructors. clippy's ok_expect lint rejects
this under the workspace's `-D warnings`, and the CI rust job lints
wickra-wasm with --all-targets — so the branch would fail CI.

Replace all seven `.ok().expect(...)` with `.expect(...)` directly;
JsError implements Debug, so this compiles and gives a better panic
message. clippy and fmt are now clean for wickra-wasm.
2026-05-22 16:47:16 +02:00
kingchenc a4d8c40dc2 E6: extend the Python release matrix to musl and Windows arm64
python-wheels built only glibc Linux (x86_64/aarch64), macOS, and
Windows x64 — Alpine/musl users and Windows arm64 had no wheel.

Add musllinux_1_2 wheels for x86_64 and aarch64 Linux and an
aarch64 wheel on the windows-11-arm runner. The upload artifact name
now includes the manylinux value so the glibc and musl builds of the
same architecture do not collide. The Node release matrix already
covers linux-arm64 and win32-arm64 (added in B11); Node musl is left
out, as B11 documented, because it needs a cross/container setup.
2026-05-22 16:45:20 +02:00
kingchenc 78c31d1bed E16: add a cargo-fuzz harness
The repository had no fuzzing setup despite several natural targets —
the CSV parser, the Binance envelope deserializer, and the stateful
indicator/aggregator update paths.

Add a fuzz/ cargo-fuzz crate (detached from the workspace via its own
[workspace] table and the parent's exclude) with four targets:

- csv_reader      — CandleReader over arbitrary bytes
- binance_envelope — RawWsEnvelope deserialization from arbitrary strings
- indicator_update — RSI/EMA streaming + batch over arbitrary f64 series
- tick_aggregator — TickAggregator over arbitrary tick triples

Each target asserts the no-panic contract: malformed input must surface
as an Err. fuzz/README.md documents running them (nightly + cargo-fuzz).
2026-05-22 16:44:19 +02:00
kingchenc 4b3227a15f E15: add a runnable doctest to every indicator type
Only two doctests existed in wickra-core; none of the 25 indicator
types carried a runnable rustdoc example.

Add an "# Example" doctest to every public indicator type (all 26,
including RollingVwap): construct the indicator and stream 80 inputs
through update, asserting a value is produced. The candle-input
indicators build valid OHLCV candles inline. cargo test --doc
-p wickra-core now runs 28 doctests, all passing; fmt and clippy clean.
2026-05-22 16:41:43 +02:00
kingchenc 5568596e18 E8: add code coverage to CI
CI had no coverage measurement, and although .gitignore listed coverage
artefacts nothing produced them.

Add a `coverage` job that runs cargo-llvm-cov over the three pure-Rust
crates (with wickra-data's live-binance feature so the Binance parser
tests count), emits lcov, and uploads to Codecov. The Codecov upload
uses fail_ci_if_error: false so a Codecov outage cannot break CI. Both
new actions (taiki-e/install-action, codecov/codecov-action) are
SHA-pinned. Add a coverage badge to the README.
2026-05-22 16:38:01 +02:00
kingchenc 5917d4928f E13: add the WASM quickstart and the data-layer wiki page
The wiki had quickstarts for Python, Rust, and Node but none for the
WebAssembly binding, and the wickra-data crate (CSV reader, tick
aggregator, resampler, Binance feed) was not documented anywhere.

- Quickstart-WASM.md: install via npm, building with wasm-pack, and
  streaming/batch/multi-output usage in a browser or bundler.
- Data-Layer.md: the wickra-data crate — CandleReader, TickAggregator
  (including the opt-in gap fill), Resampler/resample_all, and the
  feature-gated Binance live feed.
- Home.md links both from the wiki contents list.
2026-05-22 16:36:29 +02:00
kingchenc 9d822d26aa E18: make the RollingVwap documentation directly linkable
RollingVwap is a separate public type (pub struct RollingVwap in
vwap.rs) and Indicator-Vwap.md already documents it in a full
"## RollingVwap (finite window)" section, but it was not directly
reachable: the Overview row added in E12 pointed at a #rollingvwap
anchor that does not exist.

Fix the Overview link to the real #rollingvwap-finite-window anchor and
add a jump-to note at the top of Indicator-Vwap.md so both public types
are reachable in one click.
2026-05-22 16:35:01 +02:00
kingchenc 0d20973a4d E12: link every Overview row to its deep-dive page
Indicators-Overview.md only had a "Deep dive" column in the Trend
tables; the Momentum, Volatility and Volume tables left readers without
a path to the per-indicator pages.

Add a "Deep dive" column to all eight remaining tables, linking each of
the 18 rows to its indicators/<family>/Indicator-*.md page. RollingVwap
points at the RollingVwap section of Indicator-Vwap.md (added in E18).
All link targets verified to exist.
2026-05-22 16:33:44 +02:00
kingchenc f628bd5fb7 E11: classify TRIX as a momentum indicator consistently
Indicators-Overview.md listed Trix in the Trend section's EMA-family
table, while the README and the docs folder layout
(indicators/momentum/Indicator-Trix.md) place it under Momentum.

Move the Trix row into the Momentum "Unbounded oscillators" table — it
emits a rate of change, not a price-scale trend line — and leave a note
in the Trend section pointing there. Momentum is now the single
canonical family across the README, the folder layout, and the
overview.
2026-05-22 16:31:43 +02:00
kingchenc 87b3f383d6 E5: update the warmup docs to the post-A5 behavior
A5 changed Keltner and HMA to feed their sibling sub-indicators
unconditionally, so warmup_period() is now the exact first-emission
index for every indicator. The wiki still described the old
?-starvation behavior as correct.

- Indicator-Keltner.md: the Warmup section, the worked example output
  (first emission now at i=2, not i=4), the summary table row, and the
  "reported warmup understates" pitfall now state that warmup_period()
  is exact. Example output regenerated by running the code.
- Indicator-Hma.md: the Warmup section, all three language examples
  (first Some at index 10, not 13), the table row, and the chaining
  pitfall corrected. Outputs regenerated.
- Indicators-Overview.md: dropped the claim that Hma and Kama lag their
  reported warmup — both were verified exact.
2026-05-22 16:30:56 +02:00
kingchenc 71e46a1ea6 E10: add cargo-deny supply-chain checks
The repository had no supply-chain auditing — no deny.toml and no CI
job to catch vulnerable, unmaintained, wrongly-licensed, or
unexpectedly-sourced dependencies.

Add deny.toml covering advisories, bans, licenses and sources:

- licenses: an allow-list of the permissive licenses the dependency
  tree actually uses, plus the workspace's own PolyForm-Noncommercial
  license and a scoped LLVM-exception for target-lexicon.
- bans: warn on duplicate versions, deny external wildcard deps
  (internal path deps are allowed).
- sources: only crates.io.
- advisories: RUSTSEC-2025-0020 (pyo3 0.22) is ignored with a documented
  reason — it is reachable only through bindings/python and the pyo3
  upgrade is tracked separately; the published crates do not use pyo3.

Add a `supply-chain` CI job running cargo-deny-action (SHA-pinned).
`cargo deny check` passes locally: advisories/bans/licenses/sources ok.
2026-05-22 16:25:58 +02:00
kingchenc 51f64b53c0 E7: correct inaccuracies in the README
- "## Indicators in 0.1.0" -> "## Indicators" (the heading drifted from
  the actual version; making it version-neutral stops the drift).
- Project layout: there is no top-level benches/ directory — Rust
  benches and examples live inside their crate. The tree now shows
  crates/wickra/benches, the per-crate examples, and the new
  bindings/node and bindings/wasm examples/ directories.
- Node "Example" pointed at a test file; it now points at the real
  bindings/node/examples/streaming.js (added in E17).
- "## Test counts" hardcoded numbers (171/11/56/7) that drift on every
  added test. Replaced with a version-neutral "## Testing" section that
  describes what each suite covers, including the WASM tests.
2026-05-22 16:23:43 +02:00
kingchenc b919c33dee E17: add a runnable Node example
bindings/node had no examples/ directory — the README pointed at a test
file as its "Example". (bindings/wasm/examples/index.html already
exists and is a complete browser demo, so only the Node side was
missing.)

Add bindings/node/examples/streaming.js: a deterministic synthetic
price series fed tick by tick through SMA, EMA, RSI and MACD, printing
a status line and flagging overbought/oversold candidates — the same
O(1)-per-update streaming model a live bot would use. Verified against
the built native module.
2026-05-22 16:22:52 +02:00
kingchenc a79606b4ce E9: complete the published crate manifests
The three published crates had no documentation link and no docs.rs
configuration, so wickra-data's feature-gated live-binance module would
not render on docs.rs.

Add documentation = "https://docs.rs/<crate>" and a
[package.metadata.docs.rs] section with all-features = true to
wickra-core, wickra, and wickra-data. No `exclude` is added: each crate
directory contains only src/ (plus benches/examples that are useful
source), so there is nothing irrelevant to drop from the .crate.
2026-05-22 16:20:43 +02:00
kingchenc 9fd926ecd8 E19: unify the author metadata
The workspace Cargo.toml declared authors = ["Wickra Contributors"]
while the npm package.json and the WASM package.json enrich step in
release.yml both use "kingchenc <kingchencp@gmail.com>".

Make the canonical author "kingchenc <kingchencp@gmail.com>" — the
actual maintainer, already used by both npm packages — and align the
workspace manifest to it. All three registries now agree.
2026-05-22 16:19:22 +02:00
kingchenc b3ddbea584 E14: remove hardcoded local paths from the docs
Indicators-Overview.md referenced the absolute author-machine paths
D:\Coding\Wickra\crates\... and D:\Coding\Wickra\bindings\... in its
"Source-of-truth files" section, and seven trend-indicator pages had
Node examples that did require('D:/Coding/Wickra/bindings/node').

Replace the overview paths with repo-relative GitHub links and change
the Node examples to require('wickra'), the published npm package name
a reader would actually use. No D:/Coding path remains anywhere in docs.
2026-05-22 16:18:48 +02:00
kingchenc 278b6afaa4 E4: commit the documentation sources
The 33 Markdown files under docs/wiki/ were never tracked. Commit them
into the repository so the documentation is versioned alongside the
code: 8 top-level pages plus 25 per-indicator deep dives under
indicators/{momentum,trend,volatility,volume}/.

The pages are kept in-repo (not pushed to a flat GitHub Wiki), so the
relative indicators/<family>/... links in Home.md resolve correctly
when rendered on GitHub.
2026-05-22 16:18:04 +02:00
kingchenc 94cab88278 E3: add community health files
The repository had no contributor-facing documentation or automation
config. Add the standard set:

- CHANGELOG.md (Keep a Changelog format, 0.1.0-0.1.4 plus Unreleased)
- CONTRIBUTING.md (build/test steps, change standards, PolyForm-NC note)
- SECURITY.md (private reporting, supported versions)
- CODE_OF_CONDUCT.md (Contributor Covenant 2.1)
- .github/ISSUE_TEMPLATE (bug report, feature request, config)
- .github/PULL_REQUEST_TEMPLATE.md
- .github/dependabot.yml (cargo, npm, pip, github-actions — the last
  keeps the D1 SHA pins current)
- .github/CODEOWNERS
2026-05-22 16:17:15 +02:00
kingchenc 53b8b6e282 E2: add an MSRV verification job to CI
Every CI job used dtolnay/rust-toolchain on stable, so the declared
minimum supported Rust version was never exercised — an accidental use
of a newer API would only break for downstream users on an older
compiler.

Add an `msrv` job with a two-row matrix: the workspace crates
(wickra-core, wickra, wickra-data) build and test on Rust 1.75, and the
node binding on Rust 1.77, matching the rust-version each manifest
declares. Both rows use the SHA-pinned toolchain action.
2026-05-22 12:37:15 +02:00
kingchenc 9b11d73273 D1: pin all GitHub Actions to commit SHAs
Every action in ci.yml and release.yml was pinned to a movable tag
(actions/checkout@v4, dtolnay/rust-toolchain@stable, ...). A compromised
upstream tag would run with access to the crates.io / PyPI / npm
publish tokens.

Pin every `uses:` to the full 40-character commit SHA the referenced
ref currently resolves to, with the human-readable version kept as a
trailing comment so Dependabot can still bump them:

  actions/checkout            v4.3.1
  actions/setup-python        v5.6.0
  actions/setup-node          v4.4.0
  actions/upload-artifact     v4.6.2
  actions/download-artifact   v4.3.0
  dtolnay/rust-toolchain      stable branch @ 2026-03-27
  Swatinem/rust-cache         v2
  jetli/wasm-pack-action      v0.4.0
  PyO3/maturin-action         v1.51.0
  softprops/action-gh-release v2.6.2

SHAs were resolved against the GitHub API. The github-actions Dependabot
ecosystem that keeps these pins current is added with E3.
2026-05-22 12:35:02 +02:00
kingchenc 0d451ac584 D2: gate the publish jobs behind a protected environment
release.yml triggers on every v* tag push and the four publish jobs
(crates.io, PyPI, npm, wasm) inject long-lived registry tokens straight
from secrets with no environment, no reviewer and no tag restriction.

Bind all four jobs to a `release` GitHub environment. With the
environment's protection rules (required reviewers, tag/branch
restrictions) configured under repo Settings -> Environments, the
registry secrets become reachable only from an approved release run
rather than from any workflow execution.
2026-05-22 12:32:47 +02:00
kingchenc 8ccb885906 D4: pass --ignore-scripts to per-platform npm publish/pack
The main npm package already publishes and packs with --ignore-scripts,
but the per-platform subpackage loop did not: `npm publish --access
public`, its retry, and the per-platform `npm pack` all ran lifecycle
scripts from the package directory with the npm token in scope.

Add --ignore-scripts to all three, matching the main package, so no
prepublish/prepare hook can execute during a release.
2026-05-22 12:32:23 +02:00
kingchenc ad17915e49 D3: drop --allow-dirty --no-verify from release cargo package
The release workflow built the .crate attachments with
`cargo package --allow-dirty --no-verify`, so the attached artefact
could diverge from the tagged tree and was never proven to build.

Remove both flags. actions/checkout provides a clean tree and no prior
step mutates it, so --allow-dirty is unnecessary. The crates are
published to crates.io earlier in the same job, so the verification
build now resolves workspace dependencies from the registry and
confirms each .crate compiles before it is attached.
2026-05-22 12:32:04 +02:00
kingchenc 79d705a746 C13: report clear CSV errors in the offline examples
backtest.py and multi_timeframe.py read OHLCV CSVs with csv.DictReader
and crashed opaquely on malformed input: a missing column raised a bare
KeyError, a non-numeric cell surfaced NumPy's column-less ValueError,
and an empty or all-NaN series hit IndexError deep in summarize.

Validate the header against the required columns up front, catch
non-numeric cells and report the offending row/column, reject a
header-only file distinctly from a headerless one, and guard resample
and summarize against empty input. Every failure mode now raises a
ValueError naming the file, row and column.
2026-05-22 12:29:40 +02:00
kingchenc a8fb0b8181 C12: fix falsy-value display and validate symbol/interval
Two issues in the live_trading example:

- The status line rendered indicator values with `... if snap.rsi
  else "--"`. A genuine reading of 0.0 is falsy, so an RSI / MACD
  histogram / Bollinger value of exactly zero was misreported as "--".
  Switch to explicit `is not None` checks.

- --symbol and --interval were interpolated straight into the stream
  name and WebSocket URL with no checks. Add validate_args: the symbol
  must be strictly alphanumeric and the interval must be one Binance
  recognises. main() validates before connecting and exits with a clear
  error and code 2 otherwise; the strict values keep the URL well-formed
  without escaping.
2026-05-22 12:27:13 +02:00
kingchenc f0471ba824 C11: validate volume when finalising aggregated candles
OpenBar::into_candle and RolledBar::into_candle built their result with
Candle::new_unchecked, skipping the finiteness check. volume is summed
across every absorbed tick/candle, so a long or large run can drift it
to +inf — and an inf-volume candle would silently poison every
downstream indicator.

Switch both to Candle::new, which validates volume finiteness, and
return Result<Candle>. The OHLC fields are finite and correctly ordered
by construction, so the only invariant Candle::new can reject here is a
non-finite volume. push propagates the error with `?`; both flush
methods now return Result<Option<Candle>> and resample_all pulls the
result through.
2026-05-22 12:25:56 +02:00
kingchenc 2cebb3cca1 C10: reject same-bucket out-of-order ticks
push rejected ticks that went backwards across buckets but absorbed any
tick whose timestamp fell inside the open bucket — including one older
than the last tick already absorbed. Such a stale tick silently
overwrote the bar's close with an outdated price.

Track last_ts on OpenBar (set in from_tick, advanced in absorb) and, on
the same-bucket path, reject a tick whose timestamp predates it with
Error::Malformed, leaving the open bar untouched. Ticks that share a
timestamp are still accepted, since several trades can land in the same
millisecond.
2026-05-22 12:22:33 +02:00
kingchenc f33f59ad68 C9: saturate Timeframe::floor instead of overflowing at i64::MIN
Timeframe::floor computed `ts - ts.rem_euclid(bucket)`. For a timestamp
within one bucket of i64::MIN the subtrahend is a positive remainder
and the true boundary lies below i64::MIN, so the subtraction overflowed
and panicked in debug builds.

Switch to saturating_sub: the result clamps to i64::MIN in that
practically unreachable case and stays exact everywhere else. floor
keeps its infallible `-> i64` signature, so neither push path changes.
2026-05-22 12:21:25 +02:00
kingchenc 783e40069d C8: skip non-kline frames in the live_trading example
The combined Binance stream interleaves the kline payloads with
subscription acks, heartbeats and error objects. The example pulled
k = payload.get("k", {}) and immediately did float(k.get("c")) — for
any non-kline frame k is {}, k.get("c") is None, and float(None) raises
TypeError, crashing the script the moment it connects.

Skip frames without a kline payload (no "k" object, or no "c" close
field) with a debug log line, matching the C2 fix on the Rust adapter.
2026-05-22 12:20:19 +02:00
kingchenc 6b468824ce C7: validate the CSV header and tolerate BOM / whitespace
The CSV reader set has_headers(true) with no trimming and no header
check, so three real-world inputs failed silently or opaquely:

- A file with no header row had its first data row consumed as the
  header and silently dropped.
- A leading UTF-8 BOM (Excel exports it) became part of the first
  header name, breaking the `timestamp` column mapping.
- Leading/trailing whitespace around values broke serde parsing.

Add a BomStripReader<R> Read adapter that discards a leading EF BB BF,
set csv::Trim::All on the builder, and validate after opening that the
header names every required OHLCV column — a missing column now yields
a clear Error::Malformed instead of a silent misread. open/from_reader
route through a shared build() helper; from_reader and from_csv_reader
now return Result because header validation can fail.
2026-05-22 12:19:46 +02:00
kingchenc 81680bbb4b C6: add opt-in gap filling to the tick aggregator
A tick that jumped across one or more empty buckets previously opened
the next non-empty bar directly, so the candle series silently grew
time holes — downstream indicators (EMA, ATR, ...) computed over such a
series drift from one computed over an unbroken series.

Add an opt-in gap-fill mode: with_gap_fill(true) makes push emit a flat
placeholder candle (open == high == low == close = the pre-gap close,
volume = 0) for every skipped bucket. push now returns Result<Vec<Candle>>
so a single tick can yield the closed bar plus its trailing fillers;
the empty vector replaces the former Ok(None). Timestamp overflow while
filling is reported as Error::Malformed. Default behaviour is unchanged
(gaps skipped) and is now documented on the type and on push.
2026-05-22 12:14:21 +02:00
kingchenc 80295eec87 C5: reject out-of-order candles in the resampler
Resampler::push previously closed the open bar and opened a new one for
any candle whose bucket differed from the open bar, including buckets
strictly before it — silently corrupting the output for out-of-order
input. TickAggregator::push already rejects this case with an error.

Change push to return Result<Option<Candle>>: candles in an earlier
bucket than the open bar now yield Error::Malformed, matching the
aggregator. resample_all propagates the error via `?`. The doc comment
keeps the input/output multiple relationship as a documented caller
responsibility, since Resampler does not know the input timeframe.
2026-05-22 12:11:21 +02:00
kingchenc 0910ee6d37 C1: reconnect the Binance stream with exponential backoff
A 24-hour forced disconnect or a network blip permanently killed the
feed: next_event returned Ok(None)/Err and the stream was dead. The
struct now retains the subscribed symbols, an open() helper rebuilds the
socket, and reconnect() retries with exponential backoff (1s..30s, up to
MAX_RECONNECT_ATTEMPTS). next_event transparently reconnects on a
protocol error, a server close or a read stall, and only reports Ok(None)
after the caller has closed the stream. close() now takes &mut self.
2026-05-22 04:26:23 +02:00
kingchenc 62d0fb623e C3: add a read timeout and message-size limits to the Binance stream
connect() used connect_async with no WebSocketConfig and next_event
awaited the socket with no deadline, so a stalled server hung the feed
forever and an oversized message could force an unbounded allocation.
connect() now passes a WebSocketConfig capping message/frame size, and
next_event wraps the read in a 300s tokio timeout (well above Binance's
~3-minute ping), surfacing a stall as the new Error::Timeout.
2026-05-22 04:22:46 +02:00
kingchenc 23e5890265 C4: track a closed flag on the Binance stream
BinanceKlineStream had no closed-state flag, so after the server closed
the connection (Ok(None)) a caller could keep calling next_event and
poll a dead socket. A closed: bool is now set when the server closes or
sends a Close frame; next_event short-circuits to Ok(None) once set, and
is_closed() exposes the state.
2026-05-22 04:21:09 +02:00
kingchenc 90aa695a02 C2: skip non-kline Binance frames instead of aborting the stream
next_event deserialized every text frame straight into RawWsEnvelope, so
a subscription acknowledgement, heartbeat or error object propagated a
decode Err and killed the feed. Frames are now routed through
parse_frame, which inspects data.e: kline frames yield an event,
everything else is skipped, and an Err is raised only when a genuine
kline frame fails to decode. Adds tests for skipped acks/errors.
2026-05-22 04:19:31 +02:00
kingchenc 2fc7a90ec0 B11: ship npm binaries for linux-arm64 and win32-arm64
The napi loader resolves wickra-linux-arm64-gnu and
wickra-win32-arm64-msvc, but neither was published, so require('wickra')
failed on those platforms. Adds both to napi.triples and
optionalDependencies, adds their npm/ package templates, and extends the
release node-build matrix to build them on GitHub's native ARM runners
(ubuntu-24.04-arm, windows-11-arm).
2026-05-22 04:17:23 +02:00
kingchenc 490ce28645 B10: document the interleaved layout of Node MACD/Bollinger batch
MacdNode.batch and BollingerNode.batch return flat interleaved arrays
(3*n and 4*n) but index.d.ts only said Array<number>. Adds /// doc
comments describing the layout; napi-rs now propagates them into the
generated index.d.ts as JSDoc.
2026-05-22 04:15:31 +02:00
kingchenc 59c435fbd5 chore: apply rustfmt to binding/core sources and sync Cargo.lock
Normalises whitespace in sources committed earlier in this branch
before rustfmt was run over them (Node/WASM bindings, and three core
indicator test modules), and records the wasm-bindgen-test dependency
tree added in B6 into Cargo.lock. No functional change; cargo fmt --all
--check is now clean.
2026-05-22 04:14:18 +02:00
kingchenc 41d52ec5be B9: raise ValueError instead of panicking on non-contiguous arrays
Every Python batch() did prices.as_slice().expect("contiguous"), so a
non-contiguous NumPy input (e.g. a strided view) aborted with a Rust
panic instead of a catchable exception. as_slice() failures now map to a
PyValueError pointing at np.ascontiguousarray; the scalar / MACD /
Bollinger batch methods that returned a bare array were lifted to
PyResult so the error can propagate. Adds input-validation tests
(non-contiguous arrays, unequal-length candle batches, ROC/TRIX
defaults). All 60 Python tests pass against the freshly built wheel.
2026-05-22 04:14:11 +02:00
kingchenc aeea6a89bb B8: add a comprehensive Node binding test suite
The Node binding had only 7 smoke cases with no streaming-vs-batch or
candle-indicator coverage. Adds indicators.test.js: streaming update()
matches batch() for all 25 indicators (scalar, candle-scalar and
interleaved multi-output), a lifecycle check that every indicator
exposes reset/isReady/warmupPeriod, and reference values (SMA(3),
MFI(2)=1200/23, RSI uptrend, MACD histogram). 38 Node tests pass.
2026-05-22 04:07:42 +02:00
kingchenc 4a9d27fb52 B7: give Python ROC and TRIX constructor defaults
Every other Python momentum indicator (RSI, CCI, ...) carries a
#[pyo3(signature)] default, but ROC and TRIX required an explicit
period. Both now default to the TA-Lib convention (ROC period=10, TRIX
period=30), and the .pyi stubs reflect the defaults. Node and WASM
constructors deliberately stay explicit-only -- napi-rs and
wasm-bindgen do not support default arguments, and every constructor in
those bindings is uniformly explicit.
2026-05-22 04:06:18 +02:00
kingchenc 8192e576cf B6: add a WASM binding test suite
The WASM binding had no tests; CI only checked that artefacts existed.
Adds a wasm-bindgen-test suite covering SMA reference values, EMA
batch==streaming equivalence, RSI pure-uptrend behaviour, fallible
constructors returning JsError, and the unequal-length batch guards from
B3. Wires wasm-pack test --node into the CI wasm job. The suite
type-checks on the host; it executes under wasm-pack in CI (the local
environment is a non-rustup Rust install without the wasm32 target).
2026-05-22 04:05:15 +02:00
kingchenc 4880fea075 B5: complete the Python type stubs for all 25 indicators
The .pyi shipped stubs for only 9 of the 25 exported classes, so with
py.typed set, type checkers flagged DEMA, TEMA, HMA, KAMA, CCI, ROC,
WilliamsR, ADX, MFI, TRIX, PSAR, Keltner, Donchian, VWAP,
AwesomeOscillator and Aroon as missing. All 16 are now stubbed with
signatures matching python/src/lib.rs (constructor defaults, update
return types, batch array shapes, lifecycle methods). Verified: the
stub set equals the 25 registered classes and mypy type-checks a script
exercising every class with no issues.
2026-05-22 04:02:17 +02:00
kingchenc ad3b068d47 B4: complete reset/isReady/warmupPeriod across Node indicators
KAMA and the nine candle indicators (CCI, WilliamsR, MFI, PSAR,
Keltner, Donchian, VWAP, AO, Aroon) exposed none of the three lifecycle
methods; Stochastic/OBV/ADX exposed only reset; MACD/Bollinger/ATR
lacked warmupPeriod. Every indicator now exposes reset(), isReady() and
warmupPeriod(), matching the scalar-macro surface. Verified against the
rebuilt module (e.g. MACD warmupPeriod 34, Stochastic 16, KAMA 11).
2026-05-22 03:59:20 +02:00
kingchenc b4613a74c8 B3: guard candle batch methods against unequal-length arrays
Candle batch() methods that index parallel high/low/close/volume arrays
without first checking their lengths panic on a length mismatch. Adds an
equal-length guard returning a clean error to the 11 affected Node
methods (Stochastic, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian,
VWAP, AO, Aroon), the 10 affected WASM methods, and the 8 affected
Python methods (WilliamsR, ADX, MFI, PSAR, Keltner, VWAP, AO, Aroon) --
matching the guard ATR/OBV already had. Verified in Node: mismatched
arrays now throw instead of crashing.
2026-05-22 03:55:27 +02:00
kingchenc a0884fa010 B2: make fallible Node constructors throw instead of panicking
The 14 candle and multi-parameter indicator constructors passed raw
parameters through must() (an expect()), so invalid arguments such as
new MACD(0,0,0) or new BollingerBands(20,-1) aborted the whole process
over the napi boundary (the release profile sets panic=abort).

napi-rs 2.16 does accept a #[napi(constructor)] returning
napi::Result<Self> (the old must() comment was wrong), so each now
returns napi::Result<Self> and throws a clean JS error via map_err.
must()/clamp_period stay for the scalar macro, where period is clamped
and the Result is provably Ok. Verified: every invalid constructor
throws, valid ones still build.
2026-05-22 03:44:56 +02:00
kingchenc 4b6f25a32c B1: add update() to the 12 Node candle indicators
Stochastic, OBV, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian,
VWAP, AwesomeOscillator and Aroon previously exposed only batch() in the
Node binding, so a streaming-first library could not actually stream
them from Node. Each now has an update() mirroring the AtrNode pattern,
with the same input arity and output type as its batch() counterpart.
Verified against the rebuilt native module.
2026-05-22 03:41:47 +02:00
kingchenc 014e9afa51 A5: feed Keltner and HMA sibling sub-indicators in parallel
Keltner::update gated atr.update behind ema.update(...)? and Hma::update
gated full_wma.update behind half_wma.update(...)?. The ? short-circuit
starved the trailing sibling of every candle consumed during the leading
one's warmup, so warmup_period() understated the true first emission
(Keltner classic: 29 instead of 20; HMA(9): 14 instead of 11) and
Keltner's ATR seeded over the wrong window.

Both now feed every sub-indicator unconditionally and gate only the
output, matching the MACD / Awesome Oscillator pattern. warmup_period()
is now exact. Adds first-emission tests and cross-checks against
independent EMA+ATR (Keltner) and independent WMAs (HMA).
2026-05-22 03:37:40 +02:00
kingchenc 8aa480101e A4: align ROC non-finite handling with SMA/EMA
ROC now stores its last emitted value and returns it on a non-finite
input instead of None, leaving the window untouched. This matches the
SMA / EMA convention. reset() clears the new field. Adds a
non-finite-input test.
2026-05-22 03:35:49 +02:00
kingchenc 5627612d44 A3: close core test-coverage gaps
Adds the reset tests the audit named as missing (aroon, awesome
oscillator, donchian, keltner, williams_r, and both VWAP variants),
non-finite-input tests for every scalar indicator that guards is_finite
(WMA, RSI, MACD, Bollinger, KAMA), and naive-reference proptests for EMA,
RSI and ATR. 189 core tests pass.
2026-05-22 03:34:19 +02:00
kingchenc f3dcee1cb5 A2: complete PSAR reset() and correct the seeding comment
reset() now restores prev_high, prev_low and trend in addition to the
previously reset fields, keeping the struct fully consistent for
inspection. The misleading inline comment that claimed direction-dependent
seeding is corrected to describe the actual fixed-Up seed, which
self-corrects through PSAR's reversal logic. Adds a reset-reuse test.
2026-05-22 03:34:11 +02:00
kingchenc bdc4c744f2 A1: MFI emits first value on the (period+1)-th candle
The first candle now only seeds the previous typical price instead of
pushing a fabricated (0,0) money-flow pair into the window, matching the
TA-Lib / pandas-ta convention. warmup_period() returns period + 1 and the
dead prev_tp.is_none() guard is removed. Adds a first-emission test and a
hand-computed reference-value test (MFI(2) = 1200/23).
2026-05-22 03:34:06 +02:00
kingchenc 528e5c9174 Release 0.1.4: add GitHub Release asset attachments
Pure tooling release on top of 0.1.3. The library code is unchanged;
only the release workflow grew a new github-release job that attaches
every built artefact to the GitHub Release page so users have direct
download links next to the source archives:

- Python wheels (5 platforms) + sdist
- Native Node bindings (linux-x64-gnu, darwin-x64, darwin-arm64, win32-x64-msvc)
- npm-pack tarballs for the main wickra package, every per-platform
  subpackage, and wickra-wasm
- Cargo .crate files for wickra-core, wickra-data, wickra

The job runs at the end of the release pipeline and also accepts
workflow_dispatch so future asset-only fixups don't require a version
bump.
2026-05-21 22:29:12 +02:00
kingchenc 323e9ce153 ci(release): attach all build artefacts to the GitHub Release
The Releases page previously showed only the source archives GitHub
auto-generates for every tag. Add an explicit github-release job that
runs after every publish job finishes, downloads every uploaded
artefact, and attaches them all to the release.

New per-publish-job upload-artifact additions:
- cargo-publish: 'cargo package' each crate and upload the .crate files
- wasm-publish:  'npm pack' inside pkg/ and upload the wickra-wasm tgz
- node-publish:  'npm pack' the main package + each per-platform subpackage,
                  upload all six tgz files (main + linux + 2*darwin + win32)

Wheels and .node binaries were already being uploaded earlier in the
matrix builds, so the new job just consumes them via download-artifact.

github-release job:
- Runs on tag pushes (normal) AND workflow_dispatch (so we can backfill
  assets to an existing release without rebumping the version).
- Resolves the target tag from github.ref on a tag push, or from
  'git tag --sort=-v:refname | head' on dispatch.
- Stages all files into release-assets/, uses softprops/action-gh-release
  to create or update the release. generate_release_notes lets GitHub
  fill in the commit-list changelog automatically.
2026-05-21 22:28:25 +02:00
kingchenc 529f302f73 Release 0.1.3: full pipeline working end to end
CI is now green across all 20 jobs:
- Rust on Linux/macOS/Windows
- Python 3.9/3.11/3.12 on Linux/macOS/Windows
- Node 18/20 on Linux/macOS/Windows (Windows previously failed
  because ci.yml built the native module without --platform; fixed
  in the previous commit)
- WASM build
- Cross-library benchmark report

This tag re-publishes 0.1.3 across crates.io / PyPI / npm so a single
version covers every working binding. The release workflow's idempotent
publish steps mean re-runs are safe; the new code in this version is
just the build-script and loader changes that fixed CI.
2026-05-21 22:08:48 +02:00
kingchenc 5c40acd288 ci+loader: build with --platform; ship napi-generated loader
The Windows Node 18 and Node 20 CI jobs failed because:

- ci.yml ran 'napi build --release' (no --platform), which produces a
  filename without the target triple ('wickra.node').
- The committed loader at bindings/node/index.js looked for the
  triple-suffixed file ('wickra.win32-x64-msvc.node') and then for the
  per-platform npm subpackage as a fallback.
- 'wickra-win32-x64-msvc' isn't on npm yet (blocked by the spam filter),
  so Windows had nothing to load. Linux and macOS passed only because
  their optionalDependencies do exist on npm and got fetched.

Two-part fix:

- ci.yml now runs 'napi build --platform --release', matching release.yml.
  --platform encodes the target triple in the filename, so the loader's
  primary lookup always finds the freshly built binary on every host.

- bindings/node/index.js is now the canonical napi-rs auto-generated
  loader (it gets regenerated by 'napi build'). It covers all the platforms
  napi knows about (linux glibc/musl, Android, FreeBSD, ARM, etc.) rather
  than just the four we publish, so unsupported platforms get a clear
  'this binding isn't built for your system' error instead of a confusing
  ENOENT.

Local sanity: 'npx napi build --platform --release' then 'node --test
__tests__/' succeeds end to end on Windows; the eight existing tests
pass.
2026-05-21 21:53:49 +02:00
kingchenc de39415413 ci(release): drop prepublishOnly hook + ignore-scripts on main publish
The root cause of the previous failure was the package.json
"prepublishOnly": "napi prepublish -t npm" script. When the workflow
ran `npm publish` for the main wickra package it implicitly invoked
that hook, which re-attempted to publish every platform subpackage and
hit 403 "cannot publish over 0.1.2" because they were already on
the registry. The error trail looked like it came from the main
publish step but the failing command was actually the hook.

Two-part fix:
- Remove prepublishOnly entirely from bindings/node/package.json. The
  release workflow already does the per-platform publish itself, in a
  loop, idempotently.
- Belt-and-braces: pass --ignore-scripts when publishing the main
  package so any prepublish-hook drift in the future is suppressed.
2026-05-21 21:43:57 +02:00
kingchenc 827cdc7a6b ci(release): make the main-package publish step tolerant of 'npm view' 404
GitHub Actions runs shell steps with bash -e, so when npm view wickra@<v>
returned exit 1 (because the package was not yet on the registry) the
whole step aborted before reaching npm publish. Switch the step to
`set +e` and capture the rc explicitly, so a 404 from npm view is
treated as 'not published yet, go publish' instead of a fatal error.
Also adds a single retry after 30s for spam-filter blocks.
2026-05-21 21:39:05 +02:00
kingchenc ccf2b46482 ci(release): per-platform idempotent npm publish + spam-filter retry
The previous 'napi prepublish -t npm' step was atomic — one failure killed
the whole step, and on retry it tried to republish already-uploaded
versions which 403'd. v0.1.2 left 3 of 4 platform packages and the wasm
package on npm but the main 'wickra' package and 'wickra-win32-x64-msvc'
never got out.

Replace it with a small bash loop that:

- Walks every npm/<platform>/ directory.
- Skips the publish if 'npm view <pkg>@<version>' confirms the version
  is already on the registry (idempotent re-runs).
- Tolerates per-package failures (sets rc but always returns 0 from the
  helper) so spam-filter blocks on one platform don't take down the
  others. A 30-second retry handles transient rate-limit spam blocks.
- Publishes the main 'wickra' meta-package as a separate step with the
  same skip-existing guard.

Same publishing semantics, just deconstructed into individually
recoverable steps.
2026-05-21 21:34:33 +02:00
767 changed files with 426850 additions and 1571 deletions
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# EditorConfig: https://editorconfig.org
# Keeps indentation and line-endings consistent across IDEs.
root = true
[*]
charset = utf-8
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
indent_style = space
# Rust + Python + most config files use 4-space indents.
[*.{rs,py,toml}]
indent_size = 4
# JS / TS / JSON / YAML / Markdown use 2-space indents per ecosystem conventions.
[*.{js,ts,jsx,tsx,json,yml,yaml,md}]
indent_size = 2
# Markdown allows trailing whitespace as a hard line break — keep it intact.
[*.md]
trim_trailing_whitespace = false
# Makefiles must use tabs.
[Makefile]
indent_style = tab
# Generated files are not authored by humans; leave them alone.
[bindings/node/index.{js,d.ts}]
indent_style = unset
indent_size = unset
trim_trailing_whitespace = unset
insert_final_newline = unset
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@@ -0,0 +1,18 @@
# Shell scripts must keep LF line endings so they run on Linux/macOS CI and
# local shells regardless of the committer's platform autocrlf setting.
*.sh text eol=lf
# The cbindgen-generated C header is committed; pin it to LF so its CI drift
# check (regenerate + `git diff`) never trips on a CRLF normalization.
bindings/c/include/wickra.h text eol=lf
# C# sources (including the generated binding) are pinned to LF so the committed
# files stay stable regardless of the committer's autocrlf setting.
*.cs text eol=lf
# Go sources (including the generated binding) are pinned to LF so gofmt's CI
# check never trips on a CRLF checkout on Windows.
*.go text eol=lf
go.mod text eol=lf
go.sum text eol=lf
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@@ -0,0 +1,6 @@
# Code owners for Wickra.
#
# The owner listed here is requested for review automatically on every pull
# request. See https://docs.github.com/articles/about-code-owners.
* @wickra-lib
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# Funding sources surfaced on the repository "Sponsor" button.
# Each platform's value is the username/handle on that platform.
# Leave a key empty (e.g. patreon:) to skip a platform.
github: [kingchenc]
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---
name: Bug report
about: Report incorrect behaviour in Wickra
title: "[Bug] "
labels: bug
assignees: ""
---
## Description
<!-- A clear description of what is wrong. -->
## Reproduction
<!-- Minimal code that reproduces the problem. -->
```rust
// or python / javascript
```
## Expected behaviour
<!-- What you expected to happen, ideally with a reference value
(TA-Lib, pandas-ta, hand-computed). -->
## Actual behaviour
<!-- What happened instead. -->
## Environment
- Wickra version:
- Language / binding: <!-- Rust crate / Python / Node / WASM / C ABI / C# (.NET) / Go -->
- OS and architecture:
- Rust / Python / Node / .NET version (If relevant):
## Additional context
<!-- Logs, screenshots, anything else. -->
@@ -0,0 +1,56 @@
---
name: Bug report (Detailed)
about: Long-form bug report with environment matrix, minimal reproducer, and expected-vs-actual sections.
title: "[Bug] <short description>"
labels: ["bug", "triage"]
assignees: []
---
## Summary
<!-- One or two sentences. What did you expect, what happened instead? -->
## Affected binding
- [ ] Rust crate (`wickra`)
- [ ] Python (`pip install wickra`)
- [ ] Node.js (`npm install wickra`)
- [ ] WebAssembly
- [ ] Docs / examples only
## Environment
| Field | Value |
| -------------------- | -------------------------------------- |
| Wickra version | `e.g. 0.4.2` |
| Binding version | `e.g. python 0.4.2 / node 0.4.2` |
| OS / arch | `e.g. Windows 11 x86_64, Linux glibc` |
| Rust toolchain | `rustc --version` (If building from source) |
| Python / Node / .NET version | `python --version` / `node --version` / `dotnet --version` |
## Minimal reproducer
<!--
Paste the smallest possible code snippet that triggers the bug.
If the input data matters, attach a CSV/JSON or paste a few rows inline.
-->
```python
# or rust / js
import wickra as ta
...
```
## Actual output
```
<paste stack trace, panic, wrong values, etc.>
```
## Expected output
<!-- What should the indicator / API have returned? Reference a paper, TA-Lib, or another implementation if possible. -->
## Additional context
<!-- Logs, screenshots, links to related issues, anything else useful. -->
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blank_issues_enabled: false
contact_links:
- name: Security vulnerability
url: https://github.com/wickra-lib/wickra/security/advisories/new
about: Report security issues privately — do not open a public issue.
- name: Question or discussion
url: https://github.com/wickra-lib/wickra/discussions
about: Ask usage questions and discuss ideas here.
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@@ -0,0 +1,33 @@
---
name: Documentation issue
about: Something in the README, rustdoc, examples, or guides is wrong, missing, or confusing.
title: "[Docs] <short description>"
labels: ["documentation", "good first issue"]
assignees: []
---
## Where
<!-- Link or path. e.g. README.md#streaming-vs-batch, docs/guide/ema.md, rustdoc for `wickra::Ema::update`. -->
## What's wrong / missing
<!--
- [ ] Incorrect information
- [ ] Outdated for current API
- [ ] Missing example
- [ ] Unclear wording
- [ ] Broken link / broken code block
- [ ] Other
-->
## Suggested change
<!--
Paste the corrected wording, a clearer example, or a sketch of the
section you'd like to see. PRs welcome.
-->
## Additional context
<!-- Quote of the confusing passage, screenshot, etc. -->
+34
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---
name: Feature request
about: Suggest a new indicator or capability for Wickra
title: "[Feature] "
labels: enhancement
assignees: ""
---
## Problem
<!-- What are you trying to do that Wickra cannot do today? -->
## Proposed solution
<!-- For a new indicator: its name, formula, and the standard parameters.
Link a reference implementation (TA-Lib, pandas-ta) if one exists. -->
## Alternatives considered
<!-- Other approaches and why they fall short. -->
## Scope
- [ ] Affects the Rust core
- [ ] Should be exposed in the Python binding
- [ ] Should be exposed in the Node binding
- [ ] Should be exposed in the WASM binding
- [ ] Should be exposed in the C ABI
- [ ] Should be exposed in the C# / .NET binding
- [ ] Should be exposed in the Go binding
## Additional context
<!-- Anything else that helps. -->
@@ -0,0 +1,55 @@
---
name: Feature request (Detailed)
about: Long-form proposal with API sketch, scope checkboxes, prior-art links, and contribution intent.
title: "[Feat] <short description>"
labels: ["enhancement", "triage"]
assignees: []
---
## Problem / motivation
<!--
What are you trying to do that Wickra doesn't support today?
Describe the user-facing pain point, not the implementation.
-->
## Proposed solution
<!--
Sketch the API or behavior you'd like. A short code snippet of how
you'd want to call it is worth a thousand words.
-->
```python
import wickra as ta
# proposed API
ind = ta.SuperTrend(period=10, multiplier=3.0)
ind.update(close, high, low)
```
## Scope
- [ ] New indicator
- [ ] New method on an existing indicator
- [ ] New binding / platform target
- [ ] Performance improvement
- [ ] Ergonomics / API cleanup
- [ ] Other (Explain below)
## Reference / prior art
<!--
Link the paper, book chapter, TA-Lib function, TradingView Pine source,
or other implementations you'd like Wickra to match.
-->
## Alternatives considered
<!-- What workarounds exist today? Why aren't they enough? -->
## Willingness to contribute
- [ ] I'd like to implement this myself with guidance
- [ ] I can help review / test
- [ ] Requesting only — no bandwidth to implement
@@ -0,0 +1,54 @@
---
name: Performance regression
about: Report a measurable slowdown, memory blowup, or throughput drop.
title: "[Perf] <indicator / API> regressed in <version>"
labels: ["performance", "regression", "triage"]
assignees: []
---
## Summary
<!-- Which code path got slower, by how much, and since when? -->
## Affected code path
- Indicator / API: `e.g. EMA.update`
- Binding: `Rust / Python / Node / Wasm / C ABI / C# (.NET) / Go`
- Hot loop or one-shot call?
## Versions compared
| Version | Throughput / latency / memory | Notes |
| -------- | ----------------------------- | ----- |
| `0.4.1` | `e.g. 12.3 ns/iter` | baseline (Good) |
| `0.4.2` | `e.g. 38.7 ns/iter` | regressed |
## Benchmark / reproducer
<!--
Paste the criterion / pytest-benchmark / hyperfine command and its output.
For one-off measurements, include the timing snippet inline.
-->
```bash
cargo bench --bench ema -- --save-baseline new
```
```
ema/update time: [38.5 ns 38.7 ns 38.9 ns]
change: [+213.4% +214.8% +216.1%] (p = 0.00 < 0.05)
Performance has regressed.
```
## Hardware / environment
| Field | Value |
| ------------ | -------------------------------------- |
| CPU | `e.g. Ryzen 9 9950X, AVX2 + AVX512` |
| OS / arch | `e.g. Linux 6.8 x86_64` |
| Toolchain | `rustc 1.x.y` |
| Build flags | `RUSTFLAGS=...`, `--release`, profile |
## Suspected cause
<!-- Optional. Link the commit / PR if you've bisected it. -->
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---
name: Question / usage help
about: Ask how to do something with Wickra. For open-ended discussion prefer GitHub Discussions.
title: "[Question] <short description>"
labels: ["question"]
assignees: []
---
> [!NOTE]
> If this is open-ended ("which indicator should I use for X?") please
> use **Discussions** instead — issues are for actionable items.
## What are you trying to do?
<!-- The end goal, not the API call. -->
## What have you tried?
<!--
Code, docs you've read, search terms that didn't help.
Show that you've spent a few minutes before asking.
-->
```python
import wickra as ta
...
```
## What's confusing or blocking you?
<!-- Specific question. "Why does X return NaN for the first N points?" beats "doesn't work". -->
## Environment (Only if relevant)
- Wickra version: `e.g. 0.4.2`
- Binding: `Rust / Python / Node / Wasm / C ABI / C# (.NET) / Go`
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<!-- Thanks for contributing to Wickra. Please fill in the sections below. -->
## Summary
<!-- What does this PR change, and why? -->
## Related issue
<!-- e.g. Closes #123 -->
## Type of change
- [ ] Bug fix
- [ ] New feature
- [ ] Indicator addition / change
- [ ] Documentation
- [ ] CI / build / tooling
## Checklist
- [ ] `cargo fmt --all --check` is clean.
- [ ] `cargo clippy --workspace --all-targets -- -D warnings` is clean.
- [ ] `cargo test --workspace` passes.
- [ ] New behaviour has tests; bug fixes have a regression test.
- [ ] Public API changes are mirrored in the Python / Node / WASM bindings, and the C ABI + C# + Go bindings are regenerated
and their type stubs (If applicable).
- [ ] The relevant page on the [documentation site](https://docs.wickra.org)
and the `README.md` are updated (If applicable). Docs edits go to a
separate repository: `https://github.com/wickra-lib/wickra-docs`.
- [ ] An entry was added under `## [Unreleased]` in `CHANGELOG.md`.
## Notes for reviewers
<!-- Anything that needs extra attention, trade-offs, follow-ups. -->
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<!--
Thanks for contributing to Wickra!
Please fill in the sections below. Delete any that don't apply.
-->
## Summary
<!-- 13 sentences: what does this PR change and why? -->
## Type of change
- [ ] Bug fix (Non-breaking change which fixes an issue)
- [ ] New feature (Non-breaking change which adds functionality)
- [ ] Breaking change (Fix or feature that changes existing public API)
- [ ] Performance improvement
- [ ] Refactor (No functional change)
- [ ] Documentation only
- [ ] CI / build / tooling
## Affected surfaces
- [ ] Rust crate (`crates/wickra`)
- [ ] Python binding (`bindings/python`)
- [ ] Node.js binding (`bindings/node`)
- [ ] WebAssembly binding (`bindings/wasm`)
- [ ] C ABI (`bindings/c`)
- [ ] C# / .NET binding (`bindings/csharp`)
- [ ] Go binding (`bindings/go`)
- [ ] Examples / docs
## Linked issues
<!-- "Closes #123", "Refs #456". One per line. -->
Closes #
## How was this tested?
<!--
- Unit tests added / updated under `crates/*/tests/` or `bindings/*/tests/`
- Property / fuzz tests touched? (Under `fuzz/`)
- Manual repro steps, if applicable
- Benchmarks run (Paste before/after if perf-sensitive)
-->
## Numerical correctness (If you touched an indicator)
- [ ] Output matches an existing reference (TA-Lib, paper, prior Wickra release) within documented tolerance
- [ ] Streaming `update()` matches batch / `from_slice` output on the same input
- [ ] Edge cases covered: empty input, single point, NaN, leading warm-up window
## Performance impact (If applicable)
| Benchmark | Before | After | Δ |
| --------- | ------ | ----- | - |
| | | | |
## Checklist
- [ ] `cargo fmt --all` and `cargo clippy --all-targets -- -D warnings` are clean
- [ ] `cargo test --workspace` passes locally
- [ ] Binding tests run (If a binding changed)
- [ ] Public API changes are reflected in `CHANGELOG.md`
- [ ] Public API changes are reflected in rustdoc / README / examples
- [ ] No `todo*.md` or other local-only notes are staged
- [ ] License header / `LICENSE` reference unchanged (MIT OR Apache-2.0)
## Notes for reviewers
<!-- Anything reviewers should look at first, known follow-ups, deliberately out-of-scope items. -->
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version: 2
updates:
# Rust workspace (root Cargo.toml + all member crates).
- package-ecosystem: cargo
directory: "/"
schedule:
interval: weekly
open-pull-requests-limit: 10
cooldown:
default-days: 7
commit-message:
prefix: "deps(cargo)"
# Node binding npm dependencies.
- package-ecosystem: npm
directory: "/bindings/node"
schedule:
interval: weekly
open-pull-requests-limit: 10
cooldown:
default-days: 7
commit-message:
prefix: "deps(npm)"
# Python binding pip dependencies.
- package-ecosystem: pip
directory: "/bindings/python"
schedule:
interval: weekly
open-pull-requests-limit: 10
cooldown:
default-days: 7
commit-message:
prefix: "deps(pip)"
# Hash-pinned CI/bench Python tooling under .github/requirements/. Each
# <name>.in is the loose source; the matching hash-locked <name>.txt is the
# output regenerated by scripts/update-lockfiles.sh (uv). Dependabot keeps the
# pins fresh; ci-dev-py39.in caps numpy <2.1 so 3.9 stays installable. Any
# bump that breaks a matrix row surfaces in the PR's CI run.
- package-ecosystem: pip
directory: "/.github/requirements"
schedule:
interval: weekly
open-pull-requests-limit: 10
cooldown:
default-days: 7
commit-message:
prefix: "deps(ci-pip)"
# GitHub Actions — keeps the SHA-pinned actions current (Dependabot reads
# the version comment after each pinned SHA and bumps both together).
- package-ecosystem: github-actions
directory: "/"
schedule:
interval: weekly
open-pull-requests-limit: 10
cooldown:
default-days: 7
commit-message:
prefix: "deps(actions)"
+11
View File
@@ -0,0 +1,11 @@
# Python deps + peer TA libraries for the bench.yml cross-library benchmark.
# Loose source spec — the pinned, hash-locked output is generated from this:
# bench.txt (Python 3.11) via scripts/update-lockfiles.sh
# bench.yml runs on a single Python version (3.11), so one output suffices.
maturin
numpy
pandas
TA-Lib
tulipy
talipp
finta
+247
View File
@@ -0,0 +1,247 @@
# This file was autogenerated by uv via the following command:
# ./scripts/update-lockfiles.sh
build==1.5.0 \
--hash=sha256:13f3eecb844759ab66efec90ca17639bbf14dc06cb2fdf37a9010322d9c50a6f \
--hash=sha256:302c22c3ba2a0fd5f3911918651341ebb3896176cbdec15bd421f80b1afc7647
# via ta-lib
colorama==0.4.6 \
--hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
--hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
# via build
finta==1.3 \
--hash=sha256:b94b94df311c18bf5402eb2fe8fd2db5e1bdaff08baf58a7367d05c7abdd10d3 \
--hash=sha256:f2fa0673748f4be8f57e57cf6d5c00a4d44bc6071ea69dbb9a1d329d045cbba2
# via -r .github/requirements/bench.in
maturin==1.13.3 \
--hash=sha256:0ef257e692cc756c87af5bea95ddfe7d3ac49d3376a7a87f728d63f06e7b6f8b \
--hash=sha256:1cc0a110b224ca90406b668a3e3c1f5a515062e59e26292f6dbaf5fd4909c6f3 \
--hash=sha256:2389fe92d017cea9d94e521fa0175314a4c52f79a1057b901fbc9f8686ef7d0b \
--hash=sha256:3cc13929ca82aefa4adbf0f2c35419369796213c6fb0eb24e914945f50ef5d8c \
--hash=sha256:3db93337ed97e60ffc878aa8b493cd7ae44d3a5e1a37256db3a4491f57565018 \
--hash=sha256:4667ef609ab446c1b5e0bfe4f9fb99699ab6d8548433f8d1a684256e0b67217f \
--hash=sha256:49fd6ab08da28098ccf37afca24cdba72376ba9c1eedf9dd25ff82ed771961ff \
--hash=sha256:4cd478e6e4c56251e48ed079b8efd55b30bc5c09cf695a1bdafaeb582ee735a0 \
--hash=sha256:53b08bd075649ce96513ad9abf241a43cb685ed6e9e7790f8dbc2d66e95d8323 \
--hash=sha256:771e1e9e71a278e56db01552e0d1acfd1464259f9575b6e72842f893cd299079 \
--hash=sha256:a2675e25f313034ae6f57388cf14818f87d8961c4a96795287f3e155f59beb11 \
--hash=sha256:b6741d7bf4af97da937528fd1e523c6ab54f53d9a21870fa735d6e67fd88e273 \
--hash=sha256:c00ea6428dea17bf616fe93770837634454b28c2de1a876e42ef8036c616079a \
--hash=sha256:def4a435ea9d2ee93b18ba579dc8c9cf898889a66f312cd379b5e374ec3e3ad6
# via -r .github/requirements/bench.in
numpy==2.4.6 \
--hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \
--hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \
--hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \
--hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \
--hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \
--hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \
--hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \
--hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \
--hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \
--hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \
--hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \
--hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \
--hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \
--hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \
--hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \
--hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \
--hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \
--hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \
--hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \
--hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \
--hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \
--hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \
--hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \
--hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \
--hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \
--hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \
--hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \
--hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \
--hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \
--hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \
--hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \
--hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \
--hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \
--hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \
--hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \
--hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \
--hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \
--hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \
--hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \
--hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \
--hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \
--hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \
--hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \
--hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \
--hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \
--hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \
--hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \
--hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \
--hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \
--hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \
--hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \
--hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \
--hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \
--hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \
--hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \
--hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \
--hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \
--hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \
--hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \
--hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \
--hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \
--hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \
--hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \
--hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \
--hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \
--hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \
--hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \
--hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \
--hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \
--hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \
--hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \
--hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20
# via
# -r .github/requirements/bench.in
# finta
# pandas
# ta-lib
# tulipy
packaging==26.2 \
--hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \
--hash=sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661
# via build
pandas==3.0.3 \
--hash=sha256:0383c72c75cdcca61a9e116e611143902dbfd08bff356829c2f6d1cf40a9ca8c \
--hash=sha256:05f1f1752b8533ea03f7f39a9c15b1a058d067bb48f4748948e7a8691e0510f2 \
--hash=sha256:08d789b41f87e0905880e293cedf6197ce71fe67cc081358b1e148a491b9bd13 \
--hash=sha256:0d589105b3c14645af1738ff279b2995102d8f7a03b0a66dc8d95550eb513e04 \
--hash=sha256:13fc1e853d9e04743d11ba75a985ccbc2a317fe07d8af61e445a6fd24dacd6a6 \
--hash=sha256:14da8316da4d0c5a77618425996bfb1248ca87fc2c1486e6fde4652bd18b5824 \
--hash=sha256:1928e07221f82db493cd4af1e23c1bfca524a19a4699887975bff68f49a72bfb \
--hash=sha256:261e308dfb22448384b7580cf719d2f998fe2966c92893c3e77d14008af1f066 \
--hash=sha256:275c14e0fce14a2ec20eee474aecd305478ea3c1e6f6a9d8fe219a165542717e \
--hash=sha256:335f62418ed562cfc3c49e9e196375c28b729dcef8543abf4f9438e381bf3c76 \
--hash=sha256:3650109c0f22879df8bd6179ab9ee3d7f1d1d4e7e0094a3f0032d9f51e2e64ac \
--hash=sha256:39436b377d56d2a2e52d0395bdbee171f01068e99af5250509aceeb929f765c7 \
--hash=sha256:3c20a521bbb85902f79f7270c80a59e1b5452d96d170c034f207181870f97ac5 \
--hash=sha256:3e91cec1879ada0624fc3dc9953c5cbd60208e59c0db28f540c5d6d47502422f \
--hash=sha256:455f6f8139d4282188f526868dbc3c828470e88a3d9d59a891bd46a455f21b98 \
--hash=sha256:46997386d528eb40376ecd6b033cf4a8a1e5282580f68f43de875b78cba2199d \
--hash=sha256:4db8c527972a821cf5286b40ccc57642a39bc62e62022b42f99f8a67fca8c3a1 \
--hash=sha256:4e15135e2ee5df1063313e2425ceef8ac0f4ae775893815b0923651b806a5639 \
--hash=sha256:51b1fe551acb77dac643c6fda86084d8d446c10fe64b06a9cc29c4cc8540e7f2 \
--hash=sha256:557409bc4178e70ee8d9ddb494798e51ebf6ea59330f6be22c51bab2a7db6c49 \
--hash=sha256:5cc09a68b3120e0f54870dede8287a7bb1fa463907e4fcec1ea77cab6179bf7a \
--hash=sha256:60ae316d3fd75d1858d450d0db0103ea2be3e7d4a95ec2f064f7e2ae63f7b028 \
--hash=sha256:6674ab18ad8c57802867264b00e15e7bb904700cdd9046e3b2fa1fce237439ea \
--hash=sha256:67b3b64c11910cfa29f4e94a14d3bff9ee693b6fc76055e7cad549cee0aec5fa \
--hash=sha256:696a4a00a2a2a35d4e5deb3fc946641b96c944f02230e4f76137fe35d806c4fc \
--hash=sha256:6dc0b3fd2169c9157deed50b4d519553a3655c8c6a96027136d654592be973a9 \
--hash=sha256:7e65d5407dc0b394f509699650e4a2ec01c0514f21850f453fa60f3be79a5dbf \
--hash=sha256:819959dab7bbd0049c15623fbac4e29a191b9528160a61fb1032242d8ced2d9c \
--hash=sha256:8a1e45c80cceb3b4a21bc5939d52e8cbd8d9b7305309219d59e9754d9ce09e27 \
--hash=sha256:9c39be2d709d01fa972a0cabc522389fceca4f3969332ba25a7d6c5802cf976a \
--hash=sha256:9d71c63ae4ebdbf70209742096f1fc46a83a0613c99d4b23766cced9ff8cd62a \
--hash=sha256:a2d2dff8a04f3917b55ab3910c32990f8ddf7eceba114947838cefa976a68977 \
--hash=sha256:a4eeb6830daf35a71cc09649bd823e2b542dac246cdee9614c6e4bd65028cd6a \
--hash=sha256:a55066a0505dae0ba2b50a46637db34b46f9094c65c5d4800794ef6335010938 \
--hash=sha256:a82d532a3351d435432cd913edbccaf8b8e01d4dd0e5ced5a8d2e8ecd94c7e44 \
--hash=sha256:b168fc218fd80a6cbdbdbc1a97ddc7889ed057d7eb45f50d866ceab5f39904c4 \
--hash=sha256:b2c95f8bfc1ee412bf482605d7bfd30c12d1d26bd59fdd91efeef1d4718decb1 \
--hash=sha256:ba7e08b9ac1d54569cd1e256e3668975ed624d6826f7b68df0342b012007bddb \
--hash=sha256:bab900348131a7db1f69a7309ef141fd5680f1487094193bcbbb61791573bf8f \
--hash=sha256:bd3a518890b400d32f9023722dc9a9a5c969f00b415419a3c06c043f09bb5d7d \
--hash=sha256:c7be265b62cef88e253a941e4698604973736dcfe242fdb5198f0f7bc473cdcc \
--hash=sha256:d26cbe1fcfc12e8fd900e2454163e466b2d3af84f7c75481df7683ffc073d870 \
--hash=sha256:d4be06d68f9ddcfc645b87534911da79a8fbffc7573c80e0edcf42a5020624d8 \
--hash=sha256:d72828c20c6d6e83e1e22a6a3b47b326b71664112fa9705dcbccfd7a39b62085 \
--hash=sha256:dd1a5d1def6a46002e964510bdc67c368aa0951df5d1d9f8365336f5a1f490cd \
--hash=sha256:e3a2ec42c98ffa2565a67e08e218d06d72576d758d90facb7c00805194d8f360 \
--hash=sha256:f8894dc474d648fe7b6ff0ca9b0bd73950d19952bc1a6534540762c5d79d305c \
--hash=sha256:fed2ff7fd9779120e388e285fc029bd5cf9490cdd2e4166a9ee22c0e49a9ab09
# via
# -r .github/requirements/bench.in
# finta
pyproject-hooks==1.2.0 \
--hash=sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8 \
--hash=sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913
# via build
python-dateutil==2.9.0.post0 \
--hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
--hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
# via pandas
six==1.17.0 \
--hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
--hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
# via python-dateutil
ta-lib==0.6.8 \
--hash=sha256:02388054c059945e5f02625f5075bac20a1803573cb43e7d096091027511961f \
--hash=sha256:094677b279a59c3f01c3aca8a889fda3523fd641a3805f69a2d642121b72e55e \
--hash=sha256:0a08a29690a922ba92a6cf42902a8a93c6fbda4cfed62c3c5b0471560ef60135 \
--hash=sha256:0ccd478ff5735831bf2a61d653466bfda8afadc26ad58ca6b1edb9e7521cc674 \
--hash=sha256:0e371d14b49e70caa973a234c8823341dd446f5c5d7acc826868bb42b272bdc0 \
--hash=sha256:11a373c9308eae3bac2d56d37017f9ab63968cc074a8b95be879aae3d13133aa \
--hash=sha256:128ec92e6a0e9ff7a38edef80e3b74f15bb2ed1c531d5d3252c8dca22677651b \
--hash=sha256:1fb4028437201e19014e4e374272b739867c8a3eb655da46675ef4c2ff14b616 \
--hash=sha256:282e49c766b5952dd8796f77d7ed3ae412cdd88e31f845b1fbbb86ac6cb7bebf \
--hash=sha256:2b369cabb48485fbf444beb3f5a878075367b99c2c86db2f796afeabebc749e0 \
--hash=sha256:2bf714333788bf5175f2512b86d2ed129e89ae6f6c2923e8a297a1e3395e13b5 \
--hash=sha256:30de46b55873b51be945a09edf486afcc190dc47eff9fb5d2b12c9f7e3d743da \
--hash=sha256:34e3b12407ddf99f6627435aa8a165f094339bb7dc33de92e1d7472e9f237304 \
--hash=sha256:36b2a516fce57309840f5ef3fa2fd0c4449293fc72536a0400d2e1e26b414da8 \
--hash=sha256:3a9195299df9d7d2a6e9d16bebd6b706b0ea99e4b871864c4b034c2577e21a77 \
--hash=sha256:3c32fc0f546ceecc47dd45f33d72ab4a1e341b80d9081c2d77b100add5d49104 \
--hash=sha256:3d7333e907bff3e3997e54f89733ffa8d619842a3e1cd962bca34bdc11944c28 \
--hash=sha256:4795e93d130c9b7fb661f0cead49752ae6a980437df74b99d5918026c212443e \
--hash=sha256:490e19a45cd3cdd6dfe6b46019f7ffe1103500750b41b51996a870e7c1c5f066 \
--hash=sha256:4aa0fe08383f3e5fc7d2f8cf9b42ac778f4d53fd75bcd2799a858225954eab89 \
--hash=sha256:559326d8f3d904cd4aa61f6a392d5626f35eec6a9f6cc83bcddb0abf88c40516 \
--hash=sha256:5929c83bd8cb7572d1c17ffdbf0eac235bf3c4d53cde1950cf89d944eaf97525 \
--hash=sha256:5bfd21b6acb32e20d4e279c34405a34e63da345be4b2b6eabd683e1a88857406 \
--hash=sha256:613cf06313331f49dd7b85a5a24fbddb1156c9723b6921a231906241726e5aee \
--hash=sha256:66a8e1c1e899d15a2f7510e43527fba22d895e7f6058d027db3e3837d88a69de \
--hash=sha256:691a62926ba09f2653ec0908554b3635497efb7751c5d46b916cd1ebbb1d3c25 \
--hash=sha256:6c1fd18e45c39d5a4be4b0d6a20c141e43fe46daeb1b2e2f304ebae7015ab6e6 \
--hash=sha256:6c6a1e8f98de92e817491b50aa4d01d69a1b41a4ed3173747e8f16f0d4cf81cc \
--hash=sha256:6cf029b886cfb28a2701503b7c602b811f2daa45276bd6459b0c71e051deb497 \
--hash=sha256:71506116eac0d3e3598d6325b4b818c3a0f6acb3222b24d30ad726e8c4bf7ea8 \
--hash=sha256:7993164e8e9f78ec31d38c47850ca6ba5451788b5b49a8a2dbb3322b36b5693b \
--hash=sha256:7a5cc6bf60791d8274edfdfe2dd7cec3f00f656dcc92e2b0a9af06c8b18ce6a6 \
--hash=sha256:87c1cc1057d903b78a8257a7c5f497db6fd5284f5080392bd57b66031d7389a3 \
--hash=sha256:98376c75bd6c103c74396953084a5e0798ffe476aecbfcc51ec6d100a685ac38 \
--hash=sha256:a395524b0fafa10446d11e11acb4742e919523de58aac03b791f26d7a783bcf0 \
--hash=sha256:a5100a4be91b7d4b7c8fe16a3600bd0951e10205eb1066b6873afd3996b51ee4 \
--hash=sha256:a63a52221f8c73f82f4e00493351d987f594931198589287aee96f8da673cfd5 \
--hash=sha256:a89734a7bcb2ea3b6fd600a74d6fbcdb8d3fa3f7917dbd978e039710b5509c9c \
--hash=sha256:b165f5e6de1ccc964e863bd2035807a4d3bad3e0481f9db2dc52034d6ad4f9de \
--hash=sha256:b3845e4c2fa32963fb7f384ebbaa2761b0e6b96145239bf80e956d4aff4b071c \
--hash=sha256:b3b017d9103e7a7372a146773be32b184ff7330bd708d40b1f56f06a686756ed \
--hash=sha256:b6c6e4858d8c3f88e19b7aa94b6a7619108f0bee51da9fa67b0785a8b59955f9 \
--hash=sha256:bfad1202fb1f9140e3810cc607058395f59032d9128cc0d716900c78bea5f337 \
--hash=sha256:c01809fb602e2fefc8cbfb3b603bb59d2a2eaee8708410896d48a835ba00e7c5 \
--hash=sha256:cce8de9d48289927ed18aaa420740efd52b2cd9289da32e3799afbb3a02822e8 \
--hash=sha256:ce2bc1ea01200b6d8130ab917296d05d77a1a571ec6c1ee25cfca6d55cd5db4a \
--hash=sha256:d4601e2a8b46ffbf540601a4926fd6cc5aae8a13b36fdd467f1040f01f9edaed \
--hash=sha256:d556d1c256b3700b60b6b061664a667b2e49d599c2772d46a9f2348f2dc4ab5c \
--hash=sha256:ddf7453acd03b966624ebefdb38169b5bbbeea1a1a58c90b095667247f9de327 \
--hash=sha256:e781eeb65b2007af553389c8a7fb7bc53cb856118b0fcffb2c26b0f49561c686 \
--hash=sha256:e920c272cd9e70a6b10eae9203cc96845da142e1dd4482de9343dda3738a9862 \
--hash=sha256:f5b6174bf4bf9152e368561dff410203c6921e4dd2afbcda3283a95957158112 \
--hash=sha256:f69bd42fd2515060af69b120668213121264bb7976b113954b6f9db327727c65 \
--hash=sha256:f823d0f6b04a6797fbe253bcf91666e71a6b63c290683819650c68b2468ebe64 \
--hash=sha256:fa7e9f2e80a9535f9692e113d02b4268b5f88675a730d1b0ef0abeb74c9a4e80
# via -r .github/requirements/bench.in
talipp==2.7.0 \
--hash=sha256:567f59ad74366cb59a14a00d350f35fd9d22e6924d6228bad581e6dcf1de2205 \
--hash=sha256:f749f22b9ad615605e71faf26457bb7f5e3fe16f04d3287f4ca54fd16bc3d4eb
# via -r .github/requirements/bench.in
tulipy==0.4.0 \
--hash=sha256:540704956b5b940a5f6306aa393a37536a6d7c3cbc07efe47512f3496e5203ab \
--hash=sha256:95542e40537afdd345d875baf37485eac993c6a819d00c51432e9de8df21eba8 \
--hash=sha256:fbc31727ef7657c93ad910bfdce65fecc6aaa7a5e961fe00240718e7a3fc79d8
# via -r .github/requirements/bench.in
tzdata==2026.2 \
--hash=sha256:9173fde7d80d9018e02a662e168e5a2d04f87c41ea174b139fbef642eda62d10 \
--hash=sha256:bbe9af844f658da81a5f95019480da3a89415801f6cc966806612cc7169bffe7
# via pandas
+7
View File
@@ -0,0 +1,7 @@
# Python 3.10+ dev/test tooling for the ci.yml binding test job
# (covers the 3.11 / 3.12 / 3.13 matrix rows). Locked output: ci-dev-py3.txt
# Refresh via scripts/update-lockfiles.sh.
maturin
pytest
numpy
hypothesis
+124
View File
@@ -0,0 +1,124 @@
# This file was autogenerated by uv via the following command:
# ./scripts/update-lockfiles.sh
colorama==0.4.6 \
--hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
--hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
# via pytest
hypothesis==6.155.1 \
--hash=sha256:07c102031612b98d7c1be15ca3608c43e1234d9d07e3a190a53fa01536700196 \
--hash=sha256:2753f469df3ba3c483b08e0c37dbcbc41d8316ebb921abcc07493ee9c8a7d187
# via -r .github/requirements/ci-dev-py3.in
iniconfig==2.3.0 \
--hash=sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730 \
--hash=sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12
# via pytest
maturin==1.13.3 \
--hash=sha256:0ef257e692cc756c87af5bea95ddfe7d3ac49d3376a7a87f728d63f06e7b6f8b \
--hash=sha256:1cc0a110b224ca90406b668a3e3c1f5a515062e59e26292f6dbaf5fd4909c6f3 \
--hash=sha256:2389fe92d017cea9d94e521fa0175314a4c52f79a1057b901fbc9f8686ef7d0b \
--hash=sha256:3cc13929ca82aefa4adbf0f2c35419369796213c6fb0eb24e914945f50ef5d8c \
--hash=sha256:3db93337ed97e60ffc878aa8b493cd7ae44d3a5e1a37256db3a4491f57565018 \
--hash=sha256:4667ef609ab446c1b5e0bfe4f9fb99699ab6d8548433f8d1a684256e0b67217f \
--hash=sha256:49fd6ab08da28098ccf37afca24cdba72376ba9c1eedf9dd25ff82ed771961ff \
--hash=sha256:4cd478e6e4c56251e48ed079b8efd55b30bc5c09cf695a1bdafaeb582ee735a0 \
--hash=sha256:53b08bd075649ce96513ad9abf241a43cb685ed6e9e7790f8dbc2d66e95d8323 \
--hash=sha256:771e1e9e71a278e56db01552e0d1acfd1464259f9575b6e72842f893cd299079 \
--hash=sha256:a2675e25f313034ae6f57388cf14818f87d8961c4a96795287f3e155f59beb11 \
--hash=sha256:b6741d7bf4af97da937528fd1e523c6ab54f53d9a21870fa735d6e67fd88e273 \
--hash=sha256:c00ea6428dea17bf616fe93770837634454b28c2de1a876e42ef8036c616079a \
--hash=sha256:def4a435ea9d2ee93b18ba579dc8c9cf898889a66f312cd379b5e374ec3e3ad6
# via -r .github/requirements/ci-dev-py3.in
numpy==2.4.6 \
--hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \
--hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \
--hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \
--hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \
--hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \
--hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \
--hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \
--hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \
--hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \
--hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \
--hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \
--hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \
--hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \
--hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \
--hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \
--hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \
--hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \
--hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \
--hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \
--hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \
--hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \
--hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \
--hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \
--hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \
--hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \
--hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \
--hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \
--hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \
--hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \
--hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \
--hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \
--hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \
--hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \
--hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \
--hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \
--hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \
--hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \
--hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \
--hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \
--hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \
--hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \
--hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \
--hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \
--hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \
--hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \
--hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \
--hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \
--hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \
--hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \
--hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \
--hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \
--hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \
--hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \
--hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \
--hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \
--hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \
--hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \
--hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \
--hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \
--hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \
--hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \
--hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \
--hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \
--hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \
--hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \
--hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \
--hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \
--hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \
--hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \
--hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \
--hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \
--hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20
# via -r .github/requirements/ci-dev-py3.in
packaging==26.2 \
--hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \
--hash=sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661
# via pytest
pluggy==1.6.0 \
--hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \
--hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746
# via pytest
pygments==2.20.0 \
--hash=sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f \
--hash=sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176
# via pytest
pytest==9.0.3 \
--hash=sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9 \
--hash=sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c
# via -r .github/requirements/ci-dev-py3.in
sortedcontainers==2.4.0 \
--hash=sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88 \
--hash=sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0
# via hypothesis
+8
View File
@@ -0,0 +1,8 @@
# Python 3.9 dev/test tooling for the ci.yml binding test job.
# numpy is capped <2.1 because that is the last series shipping cp39 wheels
# (>=2.1 dropped Python 3.9). Locked output: ci-dev-py39.txt
# Refresh via scripts/update-lockfiles.sh.
maturin
pytest
numpy<2.1
hypothesis
+162
View File
@@ -0,0 +1,162 @@
# This file was autogenerated by uv via the following command:
# ./scripts/update-lockfiles.sh
attrs==26.1.0 \
--hash=sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309 \
--hash=sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32
# via hypothesis
colorama==0.4.6 \
--hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
--hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
# via pytest
exceptiongroup==1.3.1 \
--hash=sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219 \
--hash=sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598
# via
# hypothesis
# pytest
hypothesis==6.141.1 \
--hash=sha256:8ef356e1e18fbeaa8015aab3c805303b7fe4b868e5b506e87ad83c0bf951f46f \
--hash=sha256:a5b3c39c16d98b7b4c3c5c8d4262e511e3b2255e6814ced8023af49087ad60b3
# via -r .github/requirements/ci-dev-py39.in
iniconfig==2.1.0 \
--hash=sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7 \
--hash=sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760
# via pytest
maturin==1.13.3 \
--hash=sha256:0ef257e692cc756c87af5bea95ddfe7d3ac49d3376a7a87f728d63f06e7b6f8b \
--hash=sha256:1cc0a110b224ca90406b668a3e3c1f5a515062e59e26292f6dbaf5fd4909c6f3 \
--hash=sha256:2389fe92d017cea9d94e521fa0175314a4c52f79a1057b901fbc9f8686ef7d0b \
--hash=sha256:3cc13929ca82aefa4adbf0f2c35419369796213c6fb0eb24e914945f50ef5d8c \
--hash=sha256:3db93337ed97e60ffc878aa8b493cd7ae44d3a5e1a37256db3a4491f57565018 \
--hash=sha256:4667ef609ab446c1b5e0bfe4f9fb99699ab6d8548433f8d1a684256e0b67217f \
--hash=sha256:49fd6ab08da28098ccf37afca24cdba72376ba9c1eedf9dd25ff82ed771961ff \
--hash=sha256:4cd478e6e4c56251e48ed079b8efd55b30bc5c09cf695a1bdafaeb582ee735a0 \
--hash=sha256:53b08bd075649ce96513ad9abf241a43cb685ed6e9e7790f8dbc2d66e95d8323 \
--hash=sha256:771e1e9e71a278e56db01552e0d1acfd1464259f9575b6e72842f893cd299079 \
--hash=sha256:a2675e25f313034ae6f57388cf14818f87d8961c4a96795287f3e155f59beb11 \
--hash=sha256:b6741d7bf4af97da937528fd1e523c6ab54f53d9a21870fa735d6e67fd88e273 \
--hash=sha256:c00ea6428dea17bf616fe93770837634454b28c2de1a876e42ef8036c616079a \
--hash=sha256:def4a435ea9d2ee93b18ba579dc8c9cf898889a66f312cd379b5e374ec3e3ad6
# via -r .github/requirements/ci-dev-py39.in
numpy==2.0.2 \
--hash=sha256:0123ffdaa88fa4ab64835dcbde75dcdf89c453c922f18dced6e27c90d1d0ec5a \
--hash=sha256:11a76c372d1d37437857280aa142086476136a8c0f373b2e648ab2c8f18fb195 \
--hash=sha256:13e689d772146140a252c3a28501da66dfecd77490b498b168b501835041f951 \
--hash=sha256:1e795a8be3ddbac43274f18588329c72939870a16cae810c2b73461c40718ab1 \
--hash=sha256:26df23238872200f63518dd2aa984cfca675d82469535dc7162dc2ee52d9dd5c \
--hash=sha256:286cd40ce2b7d652a6f22efdfc6d1edf879440e53e76a75955bc0c826c7e64dc \
--hash=sha256:2b2955fa6f11907cf7a70dab0d0755159bca87755e831e47932367fc8f2f2d0b \
--hash=sha256:2da5960c3cf0df7eafefd806d4e612c5e19358de82cb3c343631188991566ccd \
--hash=sha256:312950fdd060354350ed123c0e25a71327d3711584beaef30cdaa93320c392d4 \
--hash=sha256:423e89b23490805d2a5a96fe40ec507407b8ee786d66f7328be214f9679df6dd \
--hash=sha256:496f71341824ed9f3d2fd36cf3ac57ae2e0165c143b55c3a035ee219413f3318 \
--hash=sha256:49ca4decb342d66018b01932139c0961a8f9ddc7589611158cb3c27cbcf76448 \
--hash=sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece \
--hash=sha256:5fec9451a7789926bcf7c2b8d187292c9f93ea30284802a0ab3f5be8ab36865d \
--hash=sha256:671bec6496f83202ed2d3c8fdc486a8fc86942f2e69ff0e986140339a63bcbe5 \
--hash=sha256:7f0a0c6f12e07fa94133c8a67404322845220c06a9e80e85999afe727f7438b8 \
--hash=sha256:807ec44583fd708a21d4a11d94aedf2f4f3c3719035c76a2bbe1fe8e217bdc57 \
--hash=sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78 \
--hash=sha256:8c5713284ce4e282544c68d1c3b2c7161d38c256d2eefc93c1d683cf47683e66 \
--hash=sha256:8cafab480740e22f8d833acefed5cc87ce276f4ece12fdaa2e8903db2f82897a \
--hash=sha256:8df823f570d9adf0978347d1f926b2a867d5608f434a7cff7f7908c6570dcf5e \
--hash=sha256:9059e10581ce4093f735ed23f3b9d283b9d517ff46009ddd485f1747eb22653c \
--hash=sha256:905d16e0c60200656500c95b6b8dca5d109e23cb24abc701d41c02d74c6b3afa \
--hash=sha256:9189427407d88ff25ecf8f12469d4d39d35bee1db5d39fc5c168c6f088a6956d \
--hash=sha256:96a55f64139912d61de9137f11bf39a55ec8faec288c75a54f93dfd39f7eb40c \
--hash=sha256:97032a27bd9d8988b9a97a8c4d2c9f2c15a81f61e2f21404d7e8ef00cb5be729 \
--hash=sha256:984d96121c9f9616cd33fbd0618b7f08e0cfc9600a7ee1d6fd9b239186d19d97 \
--hash=sha256:9a92ae5c14811e390f3767053ff54eaee3bf84576d99a2456391401323f4ec2c \
--hash=sha256:9ea91dfb7c3d1c56a0e55657c0afb38cf1eeae4544c208dc465c3c9f3a7c09f9 \
--hash=sha256:a15f476a45e6e5a3a79d8a14e62161d27ad897381fecfa4a09ed5322f2085669 \
--hash=sha256:a392a68bd329eafac5817e5aefeb39038c48b671afd242710b451e76090e81f4 \
--hash=sha256:a3f4ab0caa7f053f6797fcd4e1e25caee367db3112ef2b6ef82d749530768c73 \
--hash=sha256:a46288ec55ebbd58947d31d72be2c63cbf839f0a63b49cb755022310792a3385 \
--hash=sha256:a61ec659f68ae254e4d237816e33171497e978140353c0c2038d46e63282d0c8 \
--hash=sha256:a842d573724391493a97a62ebbb8e731f8a5dcc5d285dfc99141ca15a3302d0c \
--hash=sha256:becfae3ddd30736fe1889a37f1f580e245ba79a5855bff5f2a29cb3ccc22dd7b \
--hash=sha256:c05e238064fc0610c840d1cf6a13bf63d7e391717d247f1bf0318172e759e692 \
--hash=sha256:c1c9307701fec8f3f7a1e6711f9089c06e6284b3afbbcd259f7791282d660a15 \
--hash=sha256:c7b0be4ef08607dd04da4092faee0b86607f111d5ae68036f16cc787e250a131 \
--hash=sha256:cfd41e13fdc257aa5778496b8caa5e856dc4896d4ccf01841daee1d96465467a \
--hash=sha256:d731a1c6116ba289c1e9ee714b08a8ff882944d4ad631fd411106a30f083c326 \
--hash=sha256:df55d490dea7934f330006d0f81e8551ba6010a5bf035a249ef61a94f21c500b \
--hash=sha256:ec9852fb39354b5a45a80bdab5ac02dd02b15f44b3804e9f00c556bf24b4bded \
--hash=sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04 \
--hash=sha256:f26b258c385842546006213344c50655ff1555a9338e2e5e02a0756dc3e803dd
# via -r .github/requirements/ci-dev-py39.in
packaging==26.2 \
--hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \
--hash=sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661
# via pytest
pluggy==1.6.0 \
--hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \
--hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746
# via pytest
pygments==2.20.0 \
--hash=sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f \
--hash=sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176
# via pytest
pytest==8.4.2 \
--hash=sha256:86c0d0b93306b961d58d62a4db4879f27fe25513d4b969df351abdddb3c30e01 \
--hash=sha256:872f880de3fc3a5bdc88a11b39c9710c3497a547cfa9320bc3c5e62fbf272e79
# via -r .github/requirements/ci-dev-py39.in
sortedcontainers==2.4.0 \
--hash=sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88 \
--hash=sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0
# via hypothesis
tomli==2.4.1 \
--hash=sha256:01f520d4f53ef97964a240a035ec2a869fe1a37dde002b57ebc4417a27ccd853 \
--hash=sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe \
--hash=sha256:136443dbd7e1dee43c68ac2694fde36b2849865fa258d39bf822c10e8068eac5 \
--hash=sha256:1d8591993e228b0c930c4bb0db464bdad97b3289fb981255d6c9a41aedc84b2d \
--hash=sha256:2190f2e9dd7508d2a90ded5ed369255980a1bcdd58e52f7fe24b8162bf9fedbd \
--hash=sha256:2c1c351919aca02858f740c6d33adea0c5deea37f9ecca1cc1ef9e884a619d26 \
--hash=sha256:36d2bd2ad5fb9eaddba5226aa02c8ec3fa4f192631e347b3ed28186d43be6b54 \
--hash=sha256:3d48a93ee1c9b79c04bb38772ee1b64dcf18ff43085896ea460ca8dec96f35f6 \
--hash=sha256:47149d5bd38761ac8be13a84864bf0b7b70bc051806bc3669ab1cbc56216b23c \
--hash=sha256:4ab97e64ccda8756376892c53a72bd1f964e519c77236368527f758fbc36a53a \
--hash=sha256:4b605484e43cdc43f0954ddae319fb75f04cc10dd80d830540060ee7cd0243cd \
--hash=sha256:504aa796fe0569bb43171066009ead363de03675276d2d121ac1a4572397870f \
--hash=sha256:51529d40e3ca50046d7606fa99ce3956a617f9b36380da3b7f0dd3dd28e68cb5 \
--hash=sha256:52c8ef851d9a240f11a88c003eacb03c31fc1c9c4ec64a99a0f922b93874fda9 \
--hash=sha256:559db847dc486944896521f68d8190be1c9e719fced785720d2216fe7022b662 \
--hash=sha256:5a881ab208c0baf688221f8cecc5401bd291d67e38a1ac884d6736cbcd8247e9 \
--hash=sha256:5cb41aa38891e073ee49d55fbc7839cfdb2bc0e600add13874d048c94aadddd1 \
--hash=sha256:5e262d41726bc187e69af7825504c933b6794dc3fbd5945e41a79bb14c31f585 \
--hash=sha256:5ee18d9ebdb417e384b58fe414e8d6af9f4e7a0ae761519fb50f721de398dd4e \
--hash=sha256:7008df2e7655c495dd12d2a4ad038ff878d4ca4b81fccaf82b714e07eae4402c \
--hash=sha256:734e20b57ba95624ecf1841e72b53f6e186355e216e5412de414e3c51e5e3c41 \
--hash=sha256:7c7e1a961a0b2f2472c1ac5b69affa0ae1132c39adcb67aba98568702b9cc23f \
--hash=sha256:7f86fd587c4ed9dd76f318225e7d9b29cfc5a9d43de44e5754db8d1128487085 \
--hash=sha256:7f94b27a62cfad8496c8d2513e1a222dd446f095fca8987fceef261225538a15 \
--hash=sha256:88dceee75c2c63af144e456745e10101eb67361050196b0b6af5d717254dddf7 \
--hash=sha256:8a650c2dbafa08d42e51ba0b62740dae4ecb9338eefa093aa5c78ceb546fcd5c \
--hash=sha256:8d65a2fbf9d2f8352685bc1364177ee3923d6baf5e7f43ea4959d7d8bc326a36 \
--hash=sha256:96481a5786729fd470164b47cdb3e0e58062a496f455ee41b4403be77cb5a076 \
--hash=sha256:a120733b01c45e9a0c34aeef92bf0cf1d56cfe81ed9d47d562f9ed591a9828ac \
--hash=sha256:b1d22e6e9387bf4739fbe23bfa80e93f6b0373a7f1b96c6227c32bef95a4d7a8 \
--hash=sha256:b8c198f8c1805dc42708689ed6864951fd2494f924149d3e4bce7710f8eb5232 \
--hash=sha256:c2541745709bad0264b7d4705ad453b76ccd191e64aa6f0fc66b69a293a45ece \
--hash=sha256:c742f741d58a28940ce01d58f0ab2ea3ced8b12402f162f4d534dfe18ba1cd6a \
--hash=sha256:c7f2c7f2b9ca6bdeef8f0fa897f8e05085923eb091721675170254cbc5b02897 \
--hash=sha256:d312ef37c91508b0ab2cee7da26ec0b3ed2f03ce12bd87a588d771ae15dcf82d \
--hash=sha256:d4d8fe59808a54658fcc0160ecfb1b30f9089906c50b23bcb4c69eddc19ec2b4 \
--hash=sha256:da25dc3563bff5965356133435b757a795a17b17d01dbc0f42fb32447ddfd917 \
--hash=sha256:eab21f45c7f66c13f2a9e0e1535309cee140182a9cdae1e041d02e47291e8396 \
--hash=sha256:eb0dc4e38e6a1fd579e5d50369aa2e10acfc9cace504579b2faabb478e76941a \
--hash=sha256:ec9bfaf3ad2df51ace80688143a6a4ebc09a248f6ff781a9945e51937008fcbc \
--hash=sha256:ede3e6487c5ef5d28634ba3f31f989030ad6af71edfb0055cbbd14189ff240ba \
--hash=sha256:f3c6818a1a86dd6dca7ddcaaf76947d5ba31aecc28cb1b67009a5877c9a64f3f \
--hash=sha256:f758f1b9299d059cc3f6546ae2af89670cb1c4d48ea29c3cacc4fe7de3058257 \
--hash=sha256:f8f0fc26ec2cc2b965b7a3b87cd19c5c6b8c5e5f436b984e85f486d652285c30 \
--hash=sha256:fd0409a3653af6c147209d267a0e4243f0ae46b011aa978b1080359fddc9b6cf \
--hash=sha256:ff18e6a727ee0ab0388507b89d1bc6a22b138d1e2fa56d1ad494586d61d2eae9 \
--hash=sha256:ff2983983d34813c1aeb0fa89091e76c3a22889ee83ab27c5eeb45100560c049
# via
# maturin
# pytest
typing-extensions==4.15.0 \
--hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \
--hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548
# via exceptiongroup
+113
View File
@@ -0,0 +1,113 @@
"""Audit that no file in the repo contains the pre-migration org slug or
maintainer email. Driven by `repo-metadata.toml` at the repo root.
This is the read-only side of the metadata pipeline. It does not patch any
files — it just fails CI when drift sneaks in. Pair with a future
`--write` mode (auto-fix + signed commit on main) once the migration has
settled.
"""
from __future__ import annotations
import argparse
import os
import subprocess
import sys
import tomllib
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[2]
METADATA_PATH = REPO_ROOT / "repo-metadata.toml"
def load_metadata() -> dict:
with METADATA_PATH.open("rb") as f:
return tomllib.load(f)
def is_allowlisted(rel_path: str, allowlist: list[str]) -> bool:
norm = rel_path.replace(os.sep, "/")
for entry in allowlist:
entry_norm = entry.replace(os.sep, "/")
if entry_norm.endswith("/"):
if norm.startswith(entry_norm):
return True
else:
if norm == entry_norm:
return True
return False
def tracked_files() -> list[str]:
"""List git-tracked files relative to the repo root."""
out = subprocess.run(
["git", "ls-files"],
cwd=REPO_ROOT,
check=True,
capture_output=True,
text=True,
)
return [line for line in out.stdout.splitlines() if line]
def scan(forbidden: list[str], allowlist: list[str]) -> list[tuple[str, int, str, str]]:
"""Return a list of (rel_path, line_no, needle, line_text) findings.
Only git-tracked files are scanned, so local-only ghost-ignored files
(`.claude/`, drafts) never trigger false positives.
"""
findings: list[tuple[str, int, str, str]] = []
for rel_path in tracked_files():
if is_allowlisted(rel_path, allowlist):
continue
abs_path = REPO_ROOT / rel_path
if not abs_path.is_file():
continue
try:
lines = abs_path.read_text(encoding="utf-8", errors="replace").splitlines()
except (OSError, UnicodeDecodeError):
continue
for lineno, line in enumerate(lines, start=1):
for needle in forbidden:
if needle in line:
findings.append((rel_path, lineno, needle, line.strip()))
return findings
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--check", action="store_true", help="audit-only (default)")
args = parser.parse_args()
_ = args # currently only --check is supported
meta = load_metadata()
audit = meta.get("audit", {})
forbidden: list[str] = list(audit.get("forbidden", []))
allowlist: list[str] = list(audit.get("allowlist", []))
if not forbidden:
print("repo-metadata.toml [audit].forbidden is empty — nothing to scan.")
return 0
findings = scan(forbidden, allowlist)
if findings:
print(f"sync-metadata: {len(findings)} forbidden-substring hits:", file=sys.stderr)
for rel_path, lineno, needle, text in findings:
print(f" {rel_path}:{lineno}: matched {needle!r}", file=sys.stderr)
print(f" {text}", file=sys.stderr)
print(
"\nUpdate the offending lines to use the values from repo-metadata.toml,",
"or add the path to [audit].allowlist if the reference is intentional",
"(e.g. historical CHANGELOG entries).",
file=sys.stderr,
)
return 1
org = meta["repo"]["org"]
email = meta["maintainer"]["email"]
print(f"sync-metadata: clean. org={org!r} email={email!r}")
return 0
if __name__ == "__main__":
sys.exit(main())
+145
View File
@@ -0,0 +1,145 @@
name: Cross-library benchmark
# Audit finding R10: previously the cross-library benchmark ran on every push
# and every pull-request to `main`, adding 510 minutes of build + bench time
# per CI run with no consumer of the resulting artefact. The benchmark is now
# scheduled (nightly at 03:00 UTC) and on-demand via `workflow_dispatch`. The
# CI pipeline proper (.github/workflows/ci.yml) still verifies build / tests /
# lints on every push and pull-request.
on:
schedule:
# Nightly at 03:00 UTC. Pick a slot well away from common European /
# American working-hours pushes to keep this off the critical path.
- cron: "0 3 * * *"
workflow_dispatch:
inputs:
size:
description: "Number of bars per indicator (default 20000)"
required: false
default: "20000"
iterations:
description: "Batch iterations per indicator (default 10)"
required: false
default: "10"
# Least-privilege default for the auto-injected GITHUB_TOKEN. The single job
# only builds and uploads an artifact (upload-artifact uses the artifact
# storage API, not the contents scope), so it never needs repo write (OpenSSF
# Scorecard: Token-Permissions).
permissions:
contents: read
env:
CARGO_TERM_COLOR: always
# Network-flake resilience: retry transient registry/DNS failures at the tool
# level so a blip fetching crates.io / PyPI inside any build step (cargo,
# maturin, pip) retries automatically instead of failing the job. Cargo treats
# "couldn't resolve host" / connect / timeout as spurious and retries with
# backoff; 10 attempts ride out a transient DNS blip on a runner.
CARGO_NET_RETRY: "10"
CARGO_NET_GIT_FETCH_WITH_CLI: "true"
npm_config_fetch_retries: "5"
npm_config_fetch_retry_maxtimeout: "120000"
PIP_RETRIES: "5"
PIP_DEFAULT_TIMEOUT: "120"
jobs:
cross-library-bench:
name: Cross-library benchmark report
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Set up Python
id: setup_python
continue-on-error: true
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.11"
cache: pip
cache-dependency-path: .github/requirements/bench.txt
- name: Wait before Python retry
if: steps.setup_python.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-python failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Python (retry)
if: steps.setup_python.outcome == 'failure'
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.11"
cache: pip
cache-dependency-path: .github/requirements/bench.txt
- name: Install Python deps + peer libs
run: |
python -m pip install --upgrade pip
# Hash-locked deps (OpenSSF Scorecard PinnedDependencies). bench.yml
# runs on a single Python version (3.11), so one lock file suffices.
python -m pip install --require-hashes -r .github/requirements/bench.txt
- name: Build Wickra wheel
working-directory: bindings/python
run: maturin build --release --out dist
- name: Install Wickra wheel
working-directory: bindings/python
run: python -m pip install --find-links dist --force-reinstall wickra
- name: Run cross-library benchmark
working-directory: bindings/python
# workflow_dispatch inputs are untrusted; pass them through the
# environment and quote them rather than interpolating into the shell
# command (OpenSSF Scorecard: Dangerous-Workflow).
env:
BENCH_SIZE: ${{ github.event.inputs.size || '20000' }}
BENCH_ITERATIONS: ${{ github.event.inputs.iterations || '10' }}
run: |
python -m benchmarks.compare_libraries \
--size "$BENCH_SIZE" \
--iterations "$BENCH_ITERATIONS" \
--streaming-window 5000 --streaming-iterations 2 \
| tee benchmark.txt
- name: Upload report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: cross-library-bench
path: bindings/python/benchmark.txt
rust-cross-bench:
name: Rust cross-library benchmark report
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# Wickra vs the other Rust TA crates (kand, ta-rs, yata) on an identical
# candle series — the like-for-like engine comparison with no binding
# overhead. Streaming + batch, in crates/wickra-bench/benches/cross_lib.rs.
- name: Run Rust cross-library benchmark
run: cargo bench -p wickra-bench --bench cross_lib | tee rust_cross_bench.txt
- name: Upload Rust report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: rust-cross-bench
path: rust_cross_bench.txt
+694 -57
View File
@@ -6,9 +6,29 @@ on:
pull_request:
branches: [main]
# Least-privilege default for the auto-injected GITHUB_TOKEN. None of the CI
# jobs write back to the repo — coverage uploads via CODECOV_TOKEN, everything
# else is build/test/lint — so a read-only token is sufficient (OpenSSF
# Scorecard: Token-Permissions).
permissions:
contents: read
env:
CARGO_TERM_COLOR: always
RUSTFLAGS: "-D warnings"
# Network-flake resilience: retry transient registry/DNS failures at the tool
# level so a blip fetching crates.io / npm / PyPI inside any build step (cargo,
# napi, maturin, wasm-pack, npm ci, pip) retries automatically instead of
# failing the job and needing a manual re-run. Cargo treats "couldn't resolve
# host" / connect / timeout as spurious and retries with backoff; 10 attempts
# ride out a transient DNS blip on a runner. Complements the setup-action /
# cache retries (which only covered toolchain download + cache restore).
CARGO_NET_RETRY: "10"
CARGO_NET_GIT_FETCH_WITH_CLI: "true"
npm_config_fetch_retries: "5"
npm_config_fetch_retry_maxtimeout: "120000"
PIP_RETRIES: "5"
PIP_DEFAULT_TIMEOUT: "120"
jobs:
rust:
@@ -19,15 +39,35 @@ jobs:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
components: rustfmt, clippy
- name: Cache cargo
uses: Swatinem/rust-cache@v2
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Warm cargo registry (retry transient DNS/registry flakes)
shell: bash
# CARGO_NET_RETRY rides out short blips, but a longer runner DNS outage
# outlasts cargo's rapid in-process retries: the crates.io index fetch
# the first cargo step does ("Could not resolve host: index.crates.io")
# then fails the whole job. Pre-fetch the dependency graph here with real
# backoff so clippy/build/test resolve from the warmed local cache.
run: |
for attempt in 1 2 3 4 5; do
if cargo fetch; then exit 0; fi
echo "::warning::cargo fetch failed (attempt $attempt/5) — likely a registry/DNS flake; retrying in $((attempt * 20))s..."
sleep $((attempt * 20))
done
echo "::error::cargo fetch still failing after 5 attempts"
exit 1
- name: Format check
run: cargo fmt --all -- --check
@@ -48,9 +88,350 @@ jobs:
run: cargo build -p wickra --benches --verbose
- name: Compile examples
# All runnable examples now live in the dedicated wickra-examples crate
# (examples/rust/src/bin/*.rs) which enables the live-binance feature
# on its wickra-data dep, so a single --bins build covers backtest,
# live_binance, fetch_btcusdt, multi_timeframe, parallel_assets and
# streaming.
run: cargo build -p wickra-examples --bins
# Syntax/parse smoke for the non-Rust examples. The Rust examples are built
# in the `rust` job above (`cargo build -p wickra-examples --bins`); the Node,
# browser-WASM and Python examples otherwise have no build gate, so a broken
# edit could land unnoticed. This is a parse-only smoke — actually running the
# examples needs the built native binding / wasm module / wheel, which the
# binding jobs provide separately.
examples-smoke:
name: Examples (syntax smoke)
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Set up Node
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
cargo build -p wickra --example backtest
cargo build -p wickra-data --example live_binance --features live-binance
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- name: Set up Python
id: setup_python
continue-on-error: true
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.12"
- name: Wait before Python retry
if: steps.setup_python.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-python failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Python (retry)
if: steps.setup_python.outcome == 'failure'
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.12"
- name: Node examples — syntax check
run: |
shopt -s nullglob
count=0
for f in examples/node/*.js examples/wasm/*.js; do
echo "node --check $f"
node --check "$f"
count=$((count + 1))
done
echo "checked $count Node/WASM .js files"
- name: WASM demo module scripts — syntax check
# The .html demos embed an ES module; extract it and parse-check so a
# broken edit to the in-page strategy logic fails CI.
run: |
shopt -s nullglob
count=0
for f in examples/wasm/*.html; do
node -e 'const fs=require("fs");const h=fs.readFileSync(process.argv[1],"utf8");const m=h.match(/<script type="module">([\s\S]*?)<\/script>/);if(!m){console.error("no <script type=module> in "+process.argv[1]);process.exit(1);}fs.writeFileSync("module-check.mjs",m[1]);' "$f"
echo "node --check (module of) $f"
node --check module-check.mjs
count=$((count + 1))
done
rm -f module-check.mjs
echo "checked $count WASM .html module scripts"
- name: Python examples — byte-compile
run: |
shopt -s nullglob
count=0
for f in examples/python/*.py; do
echo "py_compile $f"
python -m py_compile "$f"
count=$((count + 1))
done
echo "compiled $count Python files"
# Clippy for the Python and Node bindings. These are kept out of the main
# `rust` job because PyO3 / napi build scripts need a Python interpreter and
# a Node toolchain on PATH, which the 3-OS matrix job does not provision.
# Ubuntu-only is sufficient: the lints are platform-independent.
clippy-bindings:
name: Clippy bindings
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
components: clippy
- name: Set up Python
id: setup_python
continue-on-error: true
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.12"
- name: Wait before Python retry
if: steps.setup_python.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-python failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Python (retry)
if: steps.setup_python.outcome == 'failure'
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.12"
- name: Set up Node
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Warm cargo registry (retry transient DNS/registry flakes)
shell: bash
# See the rust job: pre-fetch with backoff so the clippy index update
# can't fail the job on a transient "Could not resolve host" DNS blip.
run: |
for attempt in 1 2 3 4 5; do
if cargo fetch; then exit 0; fi
echo "::warning::cargo fetch failed (attempt $attempt/5) — likely a registry/DNS flake; retrying in $((attempt * 20))s..."
sleep $((attempt * 20))
done
echo "::error::cargo fetch still failing after 5 attempts"
exit 1
- name: Clippy (bindings, all targets)
run: cargo clippy -p wickra-node -p wickra-python --all-targets -- -D warnings
# Verify the crates still build and test on their declared minimum supported
# Rust version. The workspace pins rust-version = "1.86" — that floor is
# set by criterion 0.8.2 (the bench dev-dep), which itself rolled past the
# clap_lex 1.1.0 / edition2024 / Rust 1.85 floor and now needs 1.86; the
# earlier rayon-core 1.13.0 (1.80) and clap_lex (1.85) requirements are
# subsumed. bindings/node pins rust-version = "1.88" because napi-build
# 2.3.2 requires it (and that subsumes the older 1.77 floor needed for
# `cargo::` directives). Without this job an accidental use of a newer
# API would only surface for downstream users.
msrv:
name: ${{ matrix.name }}
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
include:
- name: MSRV workspace (Rust 1.86)
toolchain: "1.86"
packages: "-p wickra-core -p wickra -p wickra-data"
- name: MSRV node binding (Rust 1.88)
toolchain: "1.88"
packages: "-p wickra-node"
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust ${{ matrix.toolchain }}
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
toolchain: ${{ matrix.toolchain }}
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Warm cargo registry (retry transient DNS/registry flakes)
shell: bash
# See the rust job: pre-fetch with backoff so the first cargo step can't
# fail the job on a transient "Could not resolve host" DNS blip.
run: |
for attempt in 1 2 3 4 5; do
if cargo fetch; then exit 0; fi
echo "::warning::cargo fetch failed (attempt $attempt/5) — likely a registry/DNS flake; retrying in $((attempt * 20))s..."
sleep $((attempt * 20))
done
echo "::error::cargo fetch still failing after 5 attempts"
exit 1
- name: Build on MSRV
run: cargo build ${{ matrix.packages }} --verbose
- name: Test on MSRV
run: cargo test ${{ matrix.packages }} --verbose
# Code coverage for the pure-Rust crates, uploaded to Codecov.
coverage:
name: Coverage
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
components: llvm-tools-preview
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Install cargo-llvm-cov
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
tool: cargo-llvm-cov
- name: Generate coverage (lcov)
run: >
cargo llvm-cov
-p wickra-core -p wickra -p wickra-data
--features wickra-data/live-binance
--lcov --output-path lcov.info
- name: Upload to Codecov
uses: codecov/codecov-action@e79a6962e0d4c0c17b229090214935d2e33f8354 # v6.0.1
with:
files: lcov.info
fail_ci_if_error: false
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
# Supply-chain audit: security advisories, license policy, banned crates,
# and source restrictions. Configured by deny.toml at the repo root.
supply-chain:
name: Supply-chain (cargo-deny)
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: cargo-deny
uses: EmbarkStudios/cargo-deny-action@bb137d7af7e4fb67e5f82a49c4fce4fad40782fe # v2.0.20
with:
command: check
# Time-boxed fuzz smoke. Each target runs for ~30 s with libfuzzer; any panic
# fails the job. The goal is to catch a regression in the harness (e.g. a
# newly added indicator that panics on a particular input shape), not to
# discover novel bugs — long fuzz campaigns should be run on dedicated
# infrastructure with persistent corpora.
fuzz-smoke:
name: Fuzz (smoke)
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install nightly Rust
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
toolchain: nightly
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
with:
workspaces: fuzz
- name: Install cargo-fuzz
# Use the prebuilt binary from taiki-e/install-action instead of
# `cargo install cargo-fuzz --locked`. The latter resolves the
# version graph from cargo-fuzz's own Cargo.lock, which pins to
# rustix 0.36.5 — a version that still uses internal `rustc_*`
# attributes the modern nightly compiler rejects, so the install
# never gets off the ground. The prebuilt binary avoids the entire
# transitive-dep compile.
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
tool: cargo-fuzz
- name: Fuzz csv_reader (30 s)
run: cargo +nightly fuzz run --target x86_64-unknown-linux-gnu csv_reader -- -max_total_time=30
working-directory: fuzz
- name: Fuzz binance_envelope (30 s)
run: cargo +nightly fuzz run --target x86_64-unknown-linux-gnu binance_envelope -- -max_total_time=30
working-directory: fuzz
- name: Fuzz indicator_update (30 s)
run: cargo +nightly fuzz run --target x86_64-unknown-linux-gnu indicator_update -- -max_total_time=30
working-directory: fuzz
- name: Fuzz indicator_update_candle (30 s)
run: cargo +nightly fuzz run --target x86_64-unknown-linux-gnu indicator_update_candle -- -max_total_time=30
working-directory: fuzz
- name: Fuzz tick_aggregator (30 s)
run: cargo +nightly fuzz run --target x86_64-unknown-linux-gnu tick_aggregator -- -max_total_time=30
working-directory: fuzz
python:
name: Python ${{ matrix.python-version }} on ${{ matrix.os }}
@@ -59,25 +440,61 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: ["3.9", "3.11", "3.12"]
python-version: ["3.9", "3.11", "3.12", "3.13"]
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- name: Cache cargo
uses: Swatinem/rust-cache@v2
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# setup-python downloads the interpreter from the Actions tool cache /
# nodejs CDN and occasionally hangs or 5xx's on the Windows runners.
# Run it with continue-on-error, then retry once after a backoff so a
# single CDN flake does not fail the whole job (see also: GitHub
# Actions runner-images#7061).
- name: Set up Python
uses: actions/setup-python@v5
id: setup_python
continue-on-error: true
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: .github/requirements/ci-dev-*.txt
- name: Wait before Python retry
if: steps.setup_python.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-python failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Python (retry)
if: steps.setup_python.outcome == 'failure'
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: .github/requirements/ci-dev-*.txt
- name: Install Python dev dependencies
shell: bash
run: |
python -m pip install --upgrade pip
python -m pip install maturin pytest numpy hypothesis
# Hash-locked dev tooling (OpenSSF Scorecard PinnedDependencies).
# Split by Python version: numpy ships no single release with wheels
# for both cp39 and cp313 (<=2.0.2 has cp39 only, >=2.1 drops cp39).
if [ "${{ matrix.python-version }}" = "3.9" ]; then
python -m pip install --require-hashes -r .github/requirements/ci-dev-py39.txt
else
python -m pip install --require-hashes -r .github/requirements/ci-dev-py3.txt
fi
- name: Build wheel
working-directory: bindings/python
@@ -86,7 +503,12 @@ jobs:
- name: Install wheel
shell: bash
working-directory: bindings/python
run: python -m pip install --find-links dist --force-reinstall wickra
# --no-index forces pip to ignore PyPI; --no-deps skips re-resolving
# numpy (already installed in the previous step). Without --no-index
# pip prefers the PyPI 0.2.x wheel over our freshly built one when
# platform tags overlap (e.g. macOS arm64), so tests would run
# against the released package and miss any new symbols the PR adds.
run: python -m pip install --no-index --find-links dist --force-reinstall --no-deps wickra
- name: Run Python tests
working-directory: bindings/python
@@ -96,22 +518,39 @@ jobs:
name: WASM build
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain (with wasm target)
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
targets: wasm32-unknown-unknown
- name: Cache cargo
uses: Swatinem/rust-cache@v2
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Install wasm-pack
uses: jetli/wasm-pack-action@v0.4.0
# jetli/wasm-pack-action@v0.4.0 with no `version:` input installs an
# old wasm-pack (~0.10.x) whose `build` subcommand does not yet accept
# `--features`, so `wasm-pack build … --features panic-hook` fails
# with "Found argument '--features' which wasn't expected". Use the
# same taiki-e prebuilt-binary installer we already use for
# cargo-llvm-cov and cargo-fuzz; it tracks the latest wasm-pack
# release, which has `--features` as a top-level flag (since 0.12).
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
tool: wasm-pack
- name: Build WASM package
run: wasm-pack build bindings/wasm --target web --release --features panic-hook
- name: Run WASM tests
run: wasm-pack test --node bindings/wasm
- name: Verify generated artefacts
run: |
test -f bindings/wasm/pkg/wickra_wasm.js
@@ -127,69 +566,267 @@ jobs:
os: [ubuntu-latest, macos-latest, windows-latest]
node-version: ["18", "20"]
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@stable
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- name: Cache cargo
uses: Swatinem/rust-cache@v2
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# setup-node downloads Node from nodejs.org and we've seen it fail on
# Windows runners with "Attempting to download 18..." followed by a
# silent hang or curl error. Retry once after a backoff so a single
# CDN flake does not fail the whole job.
- name: Set up Node
uses: actions/setup-node@v4
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: ${{ matrix.node-version }}
cache: npm
cache-dependency-path: bindings/node/package-lock.json
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: ${{ matrix.node-version }}
cache: npm
cache-dependency-path: bindings/node/package-lock.json
- name: Install Node dependencies
working-directory: bindings/node
run: npm install
run: npm ci
- name: Build native module
working-directory: bindings/node
run: npx napi build --release
# --platform puts the target triple into the filename so the loader's
# `wickra.<target>.node` lookup finds the freshly built binary instead
# of falling back to the per-platform npm subpackage (which doesn't
# exist yet for win32-x64-msvc).
run: npx napi build --platform --release
- name: Run Node tests
working-directory: bindings/node
run: node --test __tests__/
cross-library-bench:
name: Cross-library benchmark report
runs-on: ubuntu-latest
needs: [python]
c-abi:
name: C ABI on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@v4
- uses: dtolnay/rust-toolchain@stable
- uses: Swatinem/rust-cache@v2
- name: Set up Python
uses: actions/setup-python@v5
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
python-version: "3.11"
persist-credentials: false
- name: Install Python deps + peer libs
run: |
python -m pip install --upgrade pip
python -m pip install maturin numpy pandas talipp finta
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- name: Build Wickra wheel
working-directory: bindings/python
run: maturin build --release --out dist
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Install Wickra wheel
working-directory: bindings/python
run: python -m pip install --find-links dist --force-reinstall wickra
- name: Run cross-library benchmark
working-directory: bindings/python
run: |
python -m benchmarks.compare_libraries --size 20000 --iterations 10 \
--streaming-window 5000 --streaming-iterations 2 \
| tee benchmark.txt
- name: Upload report
uses: actions/upload-artifact@v4
- name: Install cbindgen
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
name: cross-library-bench
path: bindings/python/benchmark.txt
tool: cbindgen
- name: Build the C ABI library (cdylib + staticlib)
run: cargo build -p wickra-c --release
- name: Rust unit tests
run: cargo test -p wickra-c
# The generated header is platform-independent, so checking drift on one OS
# is enough — and avoids a spurious CRLF/LF diff on the Windows runner.
- name: Check the committed header is in sync with cbindgen
if: runner.os == 'Linux'
shell: bash
run: |
cbindgen --config bindings/c/cbindgen.toml --crate wickra-c --output bindings/c/include/wickra.h
if ! git diff --quiet -- bindings/c/include/wickra.h; then
echo "::error::bindings/c/include/wickra.h is out of sync — run cbindgen and commit the result"
git --no-pager diff -- bindings/c/include/wickra.h
exit 1
fi
# The real cross-language test: a foreign C consumer links the generated
# header + the compiled library and runs. If this passes on all three OSes,
# every C-capable language can link the same way.
- name: Build and run the C smoke example (CMake + ctest)
shell: bash
run: |
cmake -S examples/c -B examples/c/build
cmake --build examples/c/build --config Release
ctest --test-dir examples/c/build -C Release --output-on-failure
csharp:
name: C# on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# The binding links against the C ABI hub at runtime; build it first so the
# DllImportResolver finds target/release/wickra.{dll,so,dylib}. .NET 8 SDK is
# preinstalled on the GitHub runners, so no setup-dotnet step is needed.
- name: Build the C ABI library
run: cargo build -p wickra-c --release
- name: .NET info
run: dotnet --info
- name: Test the C# binding
run: dotnet test bindings/csharp/Wickra.Tests/Wickra.Tests.csproj -c Release
- name: Build the C# examples
shell: bash
run: |
for d in streaming backtest multi_timeframe parallel_assets \
strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze \
fetch_btcusdt live_binance; do
dotnet build "examples/csharp/$d" -c Release
done
# Run only the offline examples (fetch_btcusdt / live_binance need network).
- name: Run the offline C# examples
shell: bash
run: |
for d in streaming backtest multi_timeframe parallel_assets \
strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze; do
dotnet run --project "examples/csharp/$d" -c Release --no-build
done
go:
name: Go on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
# Go is not reliably on PATH on every runner image, so install it
# explicitly. cache: false — the cargo build dominates and the modules
# have no external Go deps worth caching.
- name: Set up Go
id: setup-go
continue-on-error: true
uses: actions/setup-go@40f1582b2485089dde7abd97c1529aa768e1baff # v5
with:
go-version: "stable"
cache: false
- name: Retry Go setup (CDN flake)
if: steps.setup-go.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-go failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Go (retry)
if: steps.setup-go.outcome == 'failure'
uses: actions/setup-go@40f1582b2485089dde7abd97c1529aa768e1baff # v5
with:
go-version: "stable"
cache: false
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- name: Cache cargo
uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# The binding links against the C ABI hub via cgo; build it first and stage
# the platform library under bindings/go/lib so cgo's LDFLAGS find it. Go is
# preinstalled on the GitHub runners, so no setup-go step is needed.
- name: Build the C ABI library
run: cargo build -p wickra-c --release
- name: Stage the native library
shell: bash
run: |
mkdir -p bindings/go/lib
case "$RUNNER_OS" in
Linux) cp target/release/libwickra.so bindings/go/lib/ ;;
macOS) cp target/release/libwickra.dylib bindings/go/lib/ ;;
Windows) cp target/release/wickra.dll bindings/go/lib/ ;;
esac
- name: Go info
run: go version
- name: Check gofmt
shell: bash
run: |
unformatted="$(gofmt -l bindings/go examples/go)"
if [ -n "$unformatted" ]; then
echo "gofmt needed on:"; echo "$unformatted"; exit 1
fi
- name: Vet and test the Go binding
shell: bash
# On Windows there is no rpath; the loader resolves wickra.dll via PATH.
run: |
export PATH="$PWD/bindings/go/lib:$PATH"
cd bindings/go
go vet ./...
go test ./...
- name: Build the Go examples
shell: bash
run: |
export PATH="$PWD/bindings/go/lib:$PATH"
cd examples/go
go build ./...
# Run only the offline examples (fetch_btcusdt / live_binance need network).
- name: Run the offline Go examples
shell: bash
run: |
export PATH="$PWD/bindings/go/lib:$PATH"
cd examples/go
for d in streaming backtest multi_timeframe parallel_assets \
strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze; do
go run "./$d"
done
# The cross-library benchmark has moved to a dedicated scheduled workflow
# (.github/workflows/bench.yml) — see audit finding R10. It runs nightly
# at 03:00 UTC and on-demand via `workflow_dispatch`, and is no longer on
# the every-push / every-PR critical path.
+56
View File
@@ -0,0 +1,56 @@
name: CodeQL
# Static analysis security testing (findings P13.x). Analyses the Rust core and
# the Python / JavaScript binding surfaces with GitHub's CodeQL engine. Results
# appear under Security → Code scanning. `build-mode: none` analyses source
# directly — no compilation step — for every language here.
on:
push:
branches: [main]
pull_request:
branches: [main]
schedule:
- cron: '31 3 * * 0' # Sundays 03:31 UTC
# Least-privilege default for the auto-injected GITHUB_TOKEN. The analyze job
# raises exactly the scopes CodeQL needs (security-events: write to upload
# results) in its own job-level block below; this top-level read-only default
# covers any future job (OpenSSF Scorecard: Token-Permissions).
permissions:
contents: read
jobs:
analyze:
name: Analyze (${{ matrix.language }})
runs-on: ubuntu-latest
permissions:
security-events: write # upload CodeQL results to code-scanning
packages: read
actions: read
contents: read
strategy:
fail-fast: false
matrix:
include:
- language: rust
build-mode: none
- language: python
build-mode: none
- language: javascript-typescript
build-mode: none
steps:
- name: Checkout
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Initialize CodeQL
uses: github/codeql-action/init@03e4368ac7daa2bd82b3e85262f3bf87ee112f57 # v3.36.0
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
- name: Perform CodeQL analysis
uses: github/codeql-action/analyze@03e4368ac7daa2bd82b3e85262f3bf87ee112f57 # v3.36.0
with:
category: "/language:${{ matrix.language }}"
+708 -39
View File
@@ -5,8 +5,30 @@ on:
tags: ["v*"]
workflow_dispatch:
# Least-privilege default for the auto-injected GITHUB_TOKEN. The publish jobs
# (cargo/python/node) push to external registries via their own secrets
# (CARGO_REGISTRY_TOKEN / PYPI_API_TOKEN / NPM_TOKEN), not the GITHUB_TOKEN, so
# they need no repo write. The jobs that genuinely write through the
# GITHUB_TOKEN — github-release (contents: write), node-/wasm-publish and
# attestations (id-token / attestations: write) — declare those rights in their
# own job-level permissions blocks, which override this default (OpenSSF
# Scorecard: Token-Permissions).
permissions:
contents: read
env:
CARGO_TERM_COLOR: always
# Network-flake resilience: retry transient registry/DNS failures at the tool
# level so a blip fetching crates.io / npm inside any build or publish step
# (cargo, napi, maturin, wasm-pack, npm) retries automatically instead of
# failing the job. Cargo treats "couldn't resolve host" / connect / timeout as
# spurious and retries with backoff; 10 attempts ride out a transient DNS blip.
CARGO_NET_RETRY: "10"
CARGO_NET_GIT_FETCH_WITH_CLI: "true"
npm_config_fetch_retries: "5"
npm_config_fetch_retry_maxtimeout: "120000"
PIP_RETRIES: "5"
PIP_DEFAULT_TIMEOUT: "120"
jobs:
# --------------------------------------------------------------------------
@@ -15,10 +37,21 @@ jobs:
cargo-publish:
name: Publish to crates.io
runs-on: ubuntu-latest
# The publish jobs run with long-lived registry tokens. Binding them to a
# protected GitHub environment lets the org require a reviewer to approve
# each release and restrict which tags/branches may deploy, so the secrets
# are not reachable from an arbitrary workflow run. The `release`
# environment and its protection rules are configured under repo
# Settings -> Environments.
environment: release
steps:
- uses: actions/checkout@v4
- uses: dtolnay/rust-toolchain@stable
- uses: Swatinem/rust-cache@v2
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
- uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
# Idempotent publishing: if the version is already on crates.io we
# treat that as success so re-runs of the workflow don't fail.
@@ -52,48 +85,129 @@ jobs:
env:
CARGO_REGISTRY_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
# Produce .crate files for the GitHub Release attachments. `cargo package`
# writes them to target/package/<name>-<version>.crate.
#
# No --allow-dirty: `actions/checkout` gives a clean tree and nothing
# above mutates it. No --no-verify: every crate was just published to
# crates.io in the steps above, so the verification build resolves its
# workspace dependencies from the registry and confirms each .crate
# actually builds before it is attached to the release.
- name: Build .crate files for release attachment
run: |
cargo package -p wickra-core
cargo package -p wickra-data
cargo package -p wickra
- name: Upload .crate files
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: crate-files
path: target/package/*.crate
# CycloneDX SBOM per published crate. Attached to the GitHub Release
# alongside the .crate / .whl / .tgz artefacts so downstream
# consumers can audit the published dependency tree without
# re-resolving Cargo.lock.
- name: Install cargo-cyclonedx
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
tool: cargo-cyclonedx
- name: Generate CycloneDX SBOMs
run: |
# cargo-cyclonedx walks the whole workspace in a single pass and
# writes a <package>.cdx.json next to each member's Cargo.toml; it
# has no -p/--package selector. Collect the three crates.io crates
# (the .crate files published by this job) into the upload dir.
cargo cyclonedx --format json --top-level
mkdir -p sboms
cp crates/wickra-core/wickra-core.cdx.json sboms/
cp crates/wickra-data/wickra-data.cdx.json sboms/
cp crates/wickra/wickra.cdx.json sboms/
ls -lh sboms/
- name: Upload SBOMs
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: sboms
path: sboms/*.cdx.json
# --------------------------------------------------------------------------
# PyPI: cross-platform wheels + sdist
# --------------------------------------------------------------------------
python-wheels:
name: Build wheels (${{ matrix.target }} on ${{ matrix.os }})
name: Build wheels (${{ matrix.target }}/${{ matrix.manylinux }} on ${{ matrix.os }})
strategy:
fail-fast: false
matrix:
include:
# glibc Linux (manylinux)
- { os: ubuntu-latest, target: x86_64, manylinux: auto }
- { os: ubuntu-latest, target: aarch64, manylinux: auto }
# musl Linux (Alpine and other musl distros)
- { os: ubuntu-latest, target: x86_64, manylinux: musllinux_1_2 }
- { os: ubuntu-latest, target: aarch64, manylinux: musllinux_1_2 }
# macOS
- { os: macos-latest, target: x86_64, manylinux: auto }
- { os: macos-latest, target: aarch64, manylinux: auto }
# Windows
- { os: windows-latest, target: x64, manylinux: auto }
- { os: windows-11-arm, target: aarch64, manylinux: auto }
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Set up Python
id: setup_python
continue-on-error: true
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.11"
- uses: PyO3/maturin-action@v1
- name: Wait before Python retry
if: steps.setup_python.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-python failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Python (retry)
if: steps.setup_python.outcome == 'failure'
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.11"
- name: Sync root README into bindings/python so it ships with the wheel
shell: bash
run: cp README.md bindings/python/README.md
- uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1.51.0
with:
working-directory: bindings/python
target: ${{ matrix.target }}
args: --release --strip --out dist
manylinux: ${{ matrix.manylinux }}
- uses: actions/upload-artifact@v4
- uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: wheels-${{ matrix.os }}-${{ matrix.target }}
# Include manylinux in the name so the glibc and musl x86_64/aarch64
# builds do not collide on the same artifact name.
name: wheels-${{ matrix.os }}-${{ matrix.target }}-${{ matrix.manylinux }}
path: bindings/python/dist/*
python-sdist:
name: Build Python sdist
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: PyO3/maturin-action@v1
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Sync root README into bindings/python so it ships in the sdist
run: cp README.md bindings/python/README.md
- uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1.51.0
with:
working-directory: bindings/python
command: sdist
args: --out dist
- uses: actions/upload-artifact@v4
- uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: wheels-sdist
path: bindings/python/dist/*
@@ -102,15 +216,16 @@ jobs:
name: Publish to PyPI
needs: [python-wheels, python-sdist]
runs-on: ubuntu-latest
environment: release
steps:
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
path: dist
pattern: wheels-*
merge-multiple: true
- name: Upload to PyPI
uses: PyO3/maturin-action@v1
uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1.51.0
with:
command: upload
args: --skip-existing dist/*
@@ -127,33 +242,55 @@ jobs:
matrix:
include:
- { host: ubuntu-latest, target: x86_64-unknown-linux-gnu }
- { host: ubuntu-24.04-arm, target: aarch64-unknown-linux-gnu }
- { host: macos-latest, target: x86_64-apple-darwin }
- { host: macos-latest, target: aarch64-apple-darwin }
- { host: windows-latest, target: x86_64-pc-windows-msvc }
- { host: windows-11-arm, target: aarch64-pc-windows-msvc }
runs-on: ${{ matrix.host }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: actions/setup-node@v4
- name: Set up Node
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- uses: dtolnay/rust-toolchain@stable
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
targets: ${{ matrix.target }}
- uses: Swatinem/rust-cache@v2
- uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Install Node deps
working-directory: bindings/node
run: npm install
run: npm ci
- name: Build native module
working-directory: bindings/node
run: npx napi build --platform --release --target ${{ matrix.target }}
- name: Upload artifact
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: bindings-${{ matrix.target }}
path: bindings/node/wickra.*.node
@@ -163,20 +300,48 @@ jobs:
name: Publish to npm
needs: node-build
runs-on: ubuntu-latest
environment: release
# `id-token: write` lets npm publish embed a Sigstore provenance
# attestation generated from the GitHub Actions OIDC token. The npm
# registry then shows a "Verified provenance" badge and lets
# consumers verify the package was built from this exact workflow
# run.
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: actions/setup-node@v4
- name: Set up Node
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
registry-url: "https://registry.npmjs.org"
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
registry-url: "https://registry.npmjs.org"
- name: Install Node deps
working-directory: bindings/node
run: npm install
run: npm ci
- name: Download all platform binaries
uses: actions/download-artifact@v4
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
path: bindings/node/artifacts
pattern: bindings-*
@@ -188,38 +353,175 @@ jobs:
working-directory: bindings/node
run: npx napi artifacts --dir artifacts
- name: Prepublish platform packages to npm
# Publish each platform package individually. Skip versions that are
# already on npm. A first-attempt 403 from npm's spam filter is
# tolerated for a single 30-second retry — that historically clears
# rate-limit-driven false positives. Anything that still fails after
# the retry is a *real* failure (the platform binary will be missing
# from `optionalDependencies` and Windows-style installs will break,
# exactly the regression that produced audit finding R20) — fail the
# job loudly so the release does not silently land in a half-published
# state. Previously this loop swallowed the second-attempt failure with
# a `::warning::` and `return 0`; that mask is removed.
- name: Publish platform packages (idempotent)
working-directory: bindings/node
run: npx napi prepublish -t npm --skip-gh-release
env:
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
run: |
set +e
version=$(node -p "require('./package.json').version")
fail=0
publish_dir() {
local dir=$1
local pkg=$(basename "$dir")
local pkgname="wickra-$pkg"
local existing
existing=$(npm view "$pkgname@$version" version 2>/dev/null)
if [ "$existing" = "$version" ]; then
echo "::notice::skip $pkgname@$version (already on npm)"
return 0
fi
echo "::group::publish $pkgname@$version"
# --ignore-scripts: a per-platform package must never run lifecycle
# scripts during publish (npm runs prepublishOnly/prepare/etc. from
# the package being published — a malicious or stray script would
# execute with the npm token in the environment).
(cd "$dir" && npm publish --access public --ignore-scripts --provenance)
local rc=$?
echo "::endgroup::"
if [ "$rc" -ne 0 ]; then
echo "::warning::first attempt of $pkgname failed (rc=$rc); retrying after 30s"
sleep 30
(cd "$dir" && npm publish --access public --ignore-scripts --provenance)
rc=$?
fi
if [ "$rc" -ne 0 ]; then
echo "::error::$pkgname could not be published — the release would land with a missing platform binary; failing the job."
return 1
fi
return 0
}
for dir in npm/*/; do
publish_dir "$dir" || fail=1
done
exit $fail
- name: Publish main package to npm
- name: Sync root README into bindings/node so it ships with the npm tarball
# npm reads README.md from the package directory at publish time. Copy
# the canonical root README in just before the publish so every
# registry shows the same project page.
shell: bash
run: cp ../../README.md README.md
working-directory: bindings/node
- name: Publish main package to npm (idempotent)
working-directory: bindings/node
run: npm publish --access public
env:
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
shell: bash
run: |
# GitHub Actions defaults to `bash -e`. `npm view` on a not-yet-
# published package returns 1, which would kill the step before
# we got to publish. Force a graceful empty result instead.
set +e
version=$(node -p "require('./package.json').version")
existing=$(npm view "wickra@$version" version 2>/dev/null)
if [ "$existing" = "$version" ]; then
echo "::notice::skip wickra@$version (already on npm)"
exit 0
fi
# --ignore-scripts so any leftover prepublish hooks (which would
# otherwise try to republish the already-published platform
# subpackages) can't sabotage the main publish.
npm publish --access public --ignore-scripts --provenance
rc=$?
if [ "$rc" -ne 0 ]; then
echo "::warning::first attempt failed (rc=$rc); retrying after 30s"
sleep 30
npm publish --access public --ignore-scripts --provenance
rc=$?
fi
exit $rc
- name: Pack node tarballs for release attachment
working-directory: bindings/node
run: |
# Main package
npm pack --ignore-scripts
# Each per-platform package (the binaries were already moved in by
# napi artifacts). --ignore-scripts for the same reason as publish:
# packing must not execute lifecycle scripts from the packed dir.
for d in npm/*/; do
(cd "$d" && npm pack --ignore-scripts)
done
- name: Upload Node tarballs
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: node-tarballs
path: |
bindings/node/*.tgz
bindings/node/npm/*/*.tgz
# --------------------------------------------------------------------------
# WASM: wasm-pack build + npm publish (as `wickra-wasm`)
# --------------------------------------------------------------------------
# Note: this job's npm publish call uses `--provenance` (see below),
# which requires the `id-token: write` permission set at the job level.
wasm-publish:
name: Publish wickra-wasm to npm
runs-on: ubuntu-latest
environment: release
# `id-token: write` lets npm publish embed a Sigstore provenance
# attestation generated from the GitHub Actions OIDC token (same
# mechanism as the node-publish job above).
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: actions/setup-node@v4
- name: Set up Node
id: setup_node
continue-on-error: true
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
registry-url: "https://registry.npmjs.org"
- uses: dtolnay/rust-toolchain@stable
- name: Wait before Node retry
if: steps.setup_node.outcome == 'failure'
shell: bash
run: |
echo "::warning::setup-node failed (likely CDN flake), waiting 30s before retry..."
sleep 30
- name: Set up Node (retry)
if: steps.setup_node.outcome == 'failure'
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0
with:
node-version: "20"
registry-url: "https://registry.npmjs.org"
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
targets: wasm32-unknown-unknown
- uses: jetli/wasm-pack-action@v0.4.0
- name: Install wasm-pack (latest, via prebuilt binary)
# See the matching note in ci.yml: jetli's default installs an old
# 0.10.x wasm-pack whose build subcommand rejects --features.
uses: taiki-e/install-action@0fd46367812ee04360509b4169d9f659d6892bb2 # v2.79.15
timeout-minutes: 10 # fail fast on a stuck download instead of hanging the job
with:
tool: wasm-pack
- name: Sync root README into bindings/wasm so wasm-pack ships it in pkg/
# wasm-pack copies the crate's README.md into the generated pkg/
# directory it then publishes. Refresh it from the canonical root
# README right before the build.
run: cp README.md bindings/wasm/README.md
- name: Build WASM package (bundler target)
run: wasm-pack build bindings/wasm --target bundler --release --features panic-hook
@@ -230,19 +532,386 @@ jobs:
node -e "
const fs = require('fs');
const pkg = JSON.parse(fs.readFileSync('package.json'));
pkg.author = 'kingchenc <kingchencp@gmail.com>';
pkg.repository = { type: 'git', url: 'https://github.com/kingchenc/wickra' };
pkg.homepage = 'https://github.com/kingchenc/wickra';
pkg.bugs = { url: 'https://github.com/kingchenc/wickra/issues' };
pkg.license = 'SEE LICENSE IN LICENSE';
pkg.author = 'kingchenc <support@wickra.org>';
pkg.repository = { type: 'git', url: 'https://github.com/wickra-lib/wickra' };
pkg.homepage = 'https://github.com/wickra-lib/wickra';
pkg.bugs = { url: 'https://github.com/wickra-lib/wickra/issues' };
pkg.license = 'MIT OR Apache-2.0';
fs.writeFileSync('package.json', JSON.stringify(pkg, null, 2));
"
- name: Pack wickra-wasm for release attachment
working-directory: bindings/wasm/pkg
run: npm pack
- name: Upload WASM tarball
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: wasm-tarball
path: bindings/wasm/pkg/wickra-wasm-*.tgz
- name: Publish wickra-wasm to npm (idempotent)
working-directory: bindings/wasm/pkg
run: |
out=$(npm publish --access public 2>&1) && echo "$out" \
out=$(npm publish --access public --provenance 2>&1) && echo "$out" \
|| (echo "$out" | grep -q "You cannot publish over" && echo "skip: version already on npm" \
|| (echo "$out"; exit 1))
env:
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
# --------------------------------------------------------------------------
# GitHub Release: attach every built artefact to the tag's release page.
#
# The release is created as a DRAFT here and only flipped to published by the
# downstream publish-release job, after the provenance bundle is attached. That
# ordering (draft -> attach everything -> publish) makes the pipeline compatible
# with GitHub release immutability, which locks assets at publish time (P24):
# the old "publish, then upload provenance" order would have the provenance
# upload rejected once immutability is enabled.
# --------------------------------------------------------------------------
# --------------------------------------------------------------------------
# C ABI native libraries (bindings/c) — built per target on a native runner
# (no cross toolchain needed) and attached to the GitHub Release as the
# distribution channel. There is no package registry for the C ABI.
# --------------------------------------------------------------------------
c-abi-build:
name: C ABI library (${{ matrix.target }})
strategy:
fail-fast: false
matrix:
include:
- { host: ubuntu-latest, target: x86_64-unknown-linux-gnu }
- { host: ubuntu-24.04-arm, target: aarch64-unknown-linux-gnu }
- { host: macos-latest, target: x86_64-apple-darwin }
- { host: macos-latest, target: aarch64-apple-darwin }
- { host: windows-latest, target: x86_64-pc-windows-msvc }
- { host: windows-11-arm, target: aarch64-pc-windows-msvc }
runs-on: ${{ matrix.host }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
with:
targets: ${{ matrix.target }}
- uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
timeout-minutes: 6
- name: Build the C ABI library (cdylib + staticlib)
run: cargo build -p wickra-c --release --target ${{ matrix.target }}
- name: Package header + libraries
shell: bash
run: |
set -e
dir="wickra-c-${{ matrix.target }}"
mkdir -p "$dir/include" "$dir/lib"
cp bindings/c/include/wickra.h bindings/c/include/wickra.hpp "$dir/include/"
for f in libwickra.so libwickra.a libwickra.dylib wickra.dll wickra.dll.lib wickra.lib; do
src="target/${{ matrix.target }}/release/$f"
[ -f "$src" ] && cp "$src" "$dir/lib/"
done
tar -czf "$dir.tar.gz" "$dir"
echo "packaged $dir:"; ls -lR "$dir"
- name: Upload artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: c-abi-${{ matrix.target }}
path: wickra-c-${{ matrix.target }}.tar.gz
if-no-files-found: error
# Pack and publish the .NET binding to NuGet. Independent of the GitHub-release
# job so a C# hiccup never blocks the C/C++ asset release. Authentication uses
# NuGet Trusted Publishing (OIDC) — no long-lived API key. The 'wickra-release'
# trusted-publishing policy on nuget.org (owner KingchenC, repo wickra-lib/wickra,
# workflow release.yml) exchanges the GitHub OIDC token for a short-lived key.
csharp-publish:
name: Publish to NuGet
needs: c-abi-build
runs-on: ubuntu-latest
environment: release
permissions:
contents: read
id-token: write # request the GitHub OIDC token for trusted publishing
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Download the C ABI native libraries
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: c-abi-*
path: c-abi-artifacts
- name: Stage native libraries into runtimes/<rid>/native
shell: bash
run: |
set -e
declare -A RID=(
[x86_64-unknown-linux-gnu]=linux-x64
[aarch64-unknown-linux-gnu]=linux-arm64
[x86_64-apple-darwin]=osx-x64
[aarch64-apple-darwin]=osx-arm64
[x86_64-pc-windows-msvc]=win-x64
[aarch64-pc-windows-msvc]=win-arm64
)
base=bindings/csharp/Wickra/runtimes
for target in "${!RID[@]}"; do
archive=$(find c-abi-artifacts -name "wickra-c-$target.tar.gz" | head -1)
if [ -z "$archive" ]; then
echo "::error::missing native artifact for $target"; exit 1
fi
tmp=$(mktemp -d); tar -xzf "$archive" -C "$tmp"
dest="$base/${RID[$target]}/native"; mkdir -p "$dest"
for f in libwickra.so libwickra.dylib wickra.dll; do
src=$(find "$tmp" -name "$f" | head -1)
[ -n "$src" ] && cp "$src" "$dest/"
done
echo "staged ${RID[$target]}:"; ls -l "$dest"
done
- name: Pack
shell: bash
run: |
version="${GITHUB_REF_NAME#v}"
dotnet pack bindings/csharp/Wickra/Wickra.csproj -c Release -p:Version="$version" -o nupkg
# Exchange the GitHub OIDC token for a short-lived (~1h) NuGet API key.
# 'user' is the nuget.org profile name (the package owner), not an email.
- name: NuGet login (OIDC -> temporary API key)
uses: NuGet/login@8d196754b4036150537f80ac539e15c2f1028841 # v1.2.0
id: nuget_login
with:
user: KingchenC
# Pass the temporary key through the environment (not string-interpolated
# into the script) so it cannot be parsed as shell — avoids template injection.
- name: Push to NuGet
shell: bash
env:
NUGET_API_KEY: ${{ steps.nuget_login.outputs.NUGET_API_KEY }}
run: |
dotnet nuget push "nupkg/*.nupkg" --api-key "$NUGET_API_KEY" \
--source https://api.nuget.org/v3/index.json --skip-duplicate
- name: Upload the NuGet package as a build artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: nuget-package
path: nupkg/*.nupkg
if-no-files-found: error
github-release:
name: Attach assets to the draft GitHub Release
needs: [cargo-publish, python-publish, node-publish, wasm-publish, c-abi-build]
runs-on: ubuntu-latest
permissions:
contents: write
# Expose the resolved tag so the attestations job can attach the provenance
# bundle to this same release without re-resolving it.
outputs:
tag: ${{ steps.tag.outputs.tag }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
fetch-depth: 0
- name: Resolve target tag
id: tag
# Pass the (potentially attacker-influenceable on a tag push) ref context
# through the environment instead of interpolating it into the shell
# script, so a crafted tag name cannot inject commands (zizmor:
# template-injection).
env:
EVENT_NAME: ${{ github.event_name }}
REF: ${{ github.ref }}
REF_NAME: ${{ github.ref_name }}
run: |
if [ "$EVENT_NAME" = "push" ] && [[ "$REF" == refs/tags/* ]]; then
tag="$REF_NAME"
else
# workflow_dispatch / non-tag push: attach to the latest v* tag.
tag=$(git tag --list 'v*' --sort=-v:refname | head -n1)
fi
if [ -z "$tag" ]; then
echo "::error::no v* tag found to attach assets to"
exit 1
fi
echo "tag=$tag" >> "$GITHUB_OUTPUT"
echo "::notice::attaching assets to release $tag"
- name: Download all build artifacts
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
path: artifacts
- name: Stage release assets
run: |
set -e
mkdir -p release-assets
# Python wheels + sdist (5 wheel artifacts + 1 sdist artifact).
find artifacts -type f -name "*.whl" -exec cp {} release-assets/ \;
find artifacts -type f -name "*.tar.gz" -exec cp {} release-assets/ \;
# Native Node binaries (one per platform).
find artifacts -type f -name "*.node" -exec cp {} release-assets/ \;
# Node npm-pack tarballs (main + per-platform).
find artifacts -type f -name "wickra-*.tgz" -exec cp {} release-assets/ \;
# Cargo .crate files (one per workspace member).
find artifacts -type f -name "*.crate" -exec cp {} release-assets/ \;
# CycloneDX SBOMs (one per published crate).
find artifacts -type f -name "*.cdx.json" -exec cp {} release-assets/ \;
ls -lh release-assets/
echo "asset-count=$(ls release-assets/ | wc -l)"
- name: Create / update the draft GitHub Release with assets
uses: softprops/action-gh-release@b4309332981a82ec1c5618f44dd2e27cc8bfbfda # v3.0.0
with:
tag_name: ${{ steps.tag.outputs.tag }}
name: Wickra ${{ steps.tag.outputs.tag }}
files: release-assets/*
generate_release_notes: true
fail_on_unmatched_files: false
# Created as a draft; publish-release flips it to published + latest once
# the provenance bundle is attached (P24, immutability-ready).
draft: true
body: |
Wickra ${{ github.ref_name }} — streaming-first technical indicators across 4 language registries plus a C ABI.
### Install
```bash
cargo add wickra
pip install wickra
npm install wickra
npm install wickra-wasm
```
### Attached assets
Pre-built artefacts for every supported platform — the same files that
were uploaded to crates.io, PyPI, and npm by this workflow run.
- `*.whl` / `wickra-*.tar.gz` — Python wheels + sdist (5 platforms, ABI3 ≥ 3.9)
- `wickra.*.node` — native Node bindings (linux-x64-gnu, darwin-x64,
darwin-arm64, win32-x64-msvc)
- `wickra-*.tgz` — npm-pack tarballs (main package + per-platform subpackages + WASM)
- `*.crate` — cargo source crates (wickra-core, wickra-data, wickra)
- `wickra-c-<target>.tar.gz` — C ABI: `include/wickra.h` + `wickra.hpp`
and the cdylib/staticlib per target (linux/macos/windows × x64/arm64),
the hub for C / C++ / Go / C# / Java / R
### Auto-generated changelog
See below; GitHub computes it from the commits since the previous tag.
# --------------------------------------------------------------------------
# Build provenance attestations (findings P13.2)
# --------------------------------------------------------------------------
attestations:
name: Attest build provenance
needs: [cargo-publish, python-wheels, python-sdist, github-release]
runs-on: ubuntu-latest
# Signed SLSA build-provenance attestations for the published crates and
# Python wheels/sdist. npm tarballs already carry inline Sigstore provenance
# from `npm publish --provenance`, so they are covered there.
#
# The job stays isolated from the *publishes*: cargo/PyPI/npm all run upstream
# of github-release, so a Sigstore hiccup here can never block or corrupt a
# publish (the isolation the SBOM step lacked before #79). It additionally
# `needs: github-release` so the (still-draft) GitHub Release already exists
# when it attaches the provenance bundle as a release asset (P21.1e) — OpenSSF
# Scorecard's Signed-Releases check scans release *assets* (*.intoto.jsonl),
# not GitHub's separate attestations store, so the bundle has to live on the
# release. The release is published afterwards by the publish-release job
# whether or not this attestation succeeds (P24), so a failure here still only
# costs the provenance asset, never the release.
permissions:
id-token: write # OIDC for keyless Sigstore signing
attestations: write # write the attestations to this repo
contents: write # upload the provenance bundle as a release asset
steps:
- name: Download crate files
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: crate-files
path: artifacts/crates
- name: Download wheels + sdist
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: wheels-*
path: artifacts/python
merge-multiple: true
- name: Attest build provenance
id: attest
uses: actions/attest-build-provenance@a2bbfa25375fe432b6a289bc6b6cd05ecd0c4c32 # v4.1.0
with:
subject-path: |
artifacts/crates/*.crate
artifacts/python/*.whl
artifacts/python/*.tar.gz
# Attach the Sigstore provenance bundle to the GitHub Release as a
# `*.intoto.jsonl` asset so OpenSSF Scorecard's Signed-Releases check finds
# signed provenance on the release itself (P21.1e). attest-build-provenance
# writes a single JSONL bundle covering every subject above; copy it to a
# `.intoto.jsonl`-suffixed name and upload with --clobber so re-runs are
# idempotent. github.token has contents: write here, which is all gh needs.
- name: Attach provenance bundle to the GitHub Release
env:
GH_TOKEN: ${{ github.token }}
TAG: ${{ needs.github-release.outputs.tag }}
BUNDLE: ${{ steps.attest.outputs.bundle-path }}
run: |
if [ -z "$TAG" ]; then
echo "::error::no tag resolved from github-release; cannot attach provenance."
exit 1
fi
if [ -z "$BUNDLE" ] || [ ! -f "$BUNDLE" ]; then
echo "::error::attestation bundle not found at '$BUNDLE'."
exit 1
fi
dest="wickra-${TAG}.provenance.intoto.jsonl"
cp "$BUNDLE" "$dest"
echo "Uploading $dest to release $TAG"
gh release upload "$TAG" "$dest" --clobber --repo "${{ github.repository }}"
# --------------------------------------------------------------------------
# Publish the drafted release LAST (P24 — immutability-ready).
#
# github-release creates the release as a draft and attestations attaches the
# provenance bundle to it; only now, with every asset in place, is it flipped to
# published + latest. With GitHub release immutability enabled, assets lock at
# this publish step — so the provenance bundle and every build artefact are
# already present and never need a (rejected) post-publish upload.
#
# `if: always() && needs.github-release.result == 'success'` preserves the old
# robustness: the release is published whenever the draft was created, even if
# the attestations job hit a Sigstore hiccup — that only costs the provenance
# asset, exactly as before. If github-release was skipped (a publish job failed)
# there is no draft, so this is skipped too and no release is published.
# --------------------------------------------------------------------------
publish-release:
name: Publish the GitHub Release
needs: [github-release, attestations]
if: always() && needs.github-release.result == 'success'
runs-on: ubuntu-latest
permissions:
contents: write # flip the draft release to published
steps:
- name: Flip the draft release to published (latest)
env:
GH_TOKEN: ${{ github.token }}
TAG: ${{ needs.github-release.outputs.tag }}
run: |
if [ -z "$TAG" ]; then
echo "::error::no tag resolved from github-release; cannot publish."
exit 1
fi
echo "::notice::publishing release $TAG (draft -> published, latest)"
gh release edit "$TAG" --draft=false --latest=true --repo "${{ github.repository }}"
+56
View File
@@ -0,0 +1,56 @@
name: OpenSSF Scorecard
# Supply-chain / security-posture analysis (findings P13.1). Runs on a weekly
# schedule, on branch-protection changes, and on push to main. `publish_results`
# uploads the score to the public OpenSSF API so the README badge resolves, and
# the SARIF is surfaced under the repo's Security → Code scanning tab.
on:
branch_protection_rule:
schedule:
- cron: '27 7 * * 2' # Tuesdays 07:27 UTC
push:
branches: [main]
workflow_dispatch:
# Read-only by default; the analysis job widens to exactly what it needs.
permissions: read-all
jobs:
analysis:
name: Scorecard analysis
runs-on: ubuntu-latest
permissions:
security-events: write # upload the SARIF result to code-scanning
id-token: write # OIDC token to publish results to the OpenSSF API
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Run Scorecard analysis
uses: ossf/scorecard-action@4eaacf0543bb3f2c246792bd56e8cdeffafb205a # v2.4.3
with:
results_file: results.sarif
results_format: sarif
# The default GITHUB_TOKEN cannot read classic branch-protection
# rules, so the Branch-Protection check fails with an internal error
# and scores -1. A read-only fine-grained PAT (Administration: read,
# Contents: read, Metadata: read) supplied as SCORECARD_TOKEN lets the
# check read the protection settings. See
# https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
repo_token: ${{ secrets.SCORECARD_TOKEN }}
# Publish to the public OpenSSF endpoint that backs the README badge.
publish_results: true
- name: Upload SARIF artifact
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: SARIF file
path: results.sarif
retention-days: 5
- name: Upload SARIF to code-scanning
uses: github/codeql-action/upload-sarif@03e4368ac7daa2bd82b3e85262f3bf87ee112f57 # v3.36.0
with:
sarif_file: results.sarif
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@@ -0,0 +1,451 @@
name: Sync indicator count
# Indicator count appears in four places that must stay in sync with
# the number of public indicator types exported from
# crates/wickra-core/src/lib.rs (the `pub use indicators::{ ... }` block,
# minus the `FAMILIES` constant and any `*Output` companion structs):
#
# 1. README.md prose — synced on PR branches (this workflow)
# 2. GitHub repo "About" description — synced on push to main / v* tag
# 3. Docs site: index.md / overview.md / Indicators-Overview.md
# (wickra-lib/wickra-docs) — synced on push to main / v* tag*
# 4. Marketing site count (wickra-lib/webpage: index.md / about.md /
# .vitepress/config.ts) — push to main / v* tag*
# 5. org profile README count (wickra-lib/.github, profile/README.md)
# — synced on push to main / v* tag*
# 6. org description ("… N indicators, install-free.")
# — synced on push to main / v* tag*
# 7. docs site published version (wickra-lib/wickra-docs: the
# "Published versions" table in overview.md + the Rust quickstart prose)
# — synced on v* tag only*
# 8. Marketing site version (wickra-lib/webpage: api/*.md "Latest" lines, the
# nav version label, and the wickra-wasm dep) — synced on v* tag only*
# 9. Wiki pointer page count (wickra-lib/wickra.wiki, Home.md — the wiki was
# collapsed to a single page that points at docs.wickra.org but still names
# the count) — synced on push to main / v* tag*
#
# *Surfaces 3 + 7 need the ABOUT_SYNC_TOKEN to have write on
# wickra-lib/wickra-docs, surfaces 4 + 8 on wickra-lib/webpage; surfaces 5 + 6
# need write on wickra-lib/.github and admin:org for the org-description PATCH;
# surface 9 needs write on wickra-lib/wickra (the wiki rides on the parent
# repo's permission).
# Until that scope is granted these steps emit a ::warning:: and soft-skip —
# they never fail the run. The repo "About" homepage URL is also enforced in
# step 2 (constant value, no extra scope); it points at docs.wickra.org.
#
# Note: surface 7 carries the release *version*, not the indicator count, so
# it is driven by the v* tag (which is the version) rather than the count.
#
# We count public types (not `mod xxx;` lines) because some modules export
# more than one indicator — e.g. `vwap.rs` exposes both `Vwap` and
# `RollingVwap`, so the mod-count under-reports by one. lib.rs is the
# single source of truth for what the bindings reach.
#
# Design: on PRs this workflow is a READ-ONLY check. The indicator wiring
# bumps both README.md and docs/README.md inside the author's code commit, so
# the counter is already correct by the time CI runs. If it is not, the check
# below fails loud and asks the author to re-run the wiring — it never pushes a
# fix-up commit.
#
# (An earlier version pushed a GITHUB_TOKEN "sync indicator count" commit to
# the PR head. Because GITHUB_TOKEN pushes trigger no workflows, that commit
# moved the PR head onto a commit with no CI run, which hid the Codecov patch
# status — keyed to the PR head sha — from the PR. Keeping the counter in the
# code commit avoids that entirely.)
on:
push:
branches: [main]
tags: ['v*']
pull_request:
types: [opened, synchronize, reopened]
workflow_dispatch:
# Least-privilege default for the auto-injected GITHUB_TOKEN. The `contents:
# write` the workflow needs — to push the counter fix-up commit to the PR head
# branch — is raised at the job level below, not here, so the top-level default
# stays read-only (OpenSSF Scorecard: Token-Permissions). The wider About /
# docs / webpage / org writes still go through the fine-grained PAT
# (ABOUT_SYNC_TOKEN), which the `permissions:` key does not govern at all.
permissions:
contents: read
pull-requests: read
jobs:
sync:
runs-on: ubuntu-latest
# This workflow never writes to wickra-lib/wickra with GITHUB_TOKEN: the PR
# flow is a read-only check, and the main/tag flow writes only to other
# repos (About metadata, docs, webpage, wiki, org) through the fine-grained
# ABOUT_SYNC_TOKEN PAT. So GITHUB_TOKEN stays read-only (OpenSSF Scorecard:
# Token-Permissions).
permissions:
contents: read
pull-requests: read
steps:
# On PRs we check out the PR *head* commit (the author's code, not the
# merge ref) so the counter check validates exactly what will land. On
# push events we check out the default ref. No push is made, so a shallow
# checkout is enough.
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
fetch-depth: 1
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.ref || github.ref }}
repository: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name || github.repository }}
- name: Count indicators
id: count
run: |
# Parse the `pub use indicators::{ ... }` block from lib.rs, strip
# the FAMILIES constant and any `*Output` companion structs, count
# the remaining identifiers. Pure-shell so the workflow doesn't
# require a python runtime.
n=$(sed -n '/^pub use indicators::{/,/^};/p' crates/wickra-core/src/lib.rs \
| tr ',{}' '\n' \
| sed 's/[[:space:]]//g' \
| grep -E '^[A-Z][A-Za-z0-9_]*$' \
| grep -vE '^FAMILIES$|Output$' \
| sort -u | wc -l)
echo "count=$n" >> "$GITHUB_OUTPUT"
echo "Indicator count: $n"
# ----- PR flow ---------------------------------------------------
- name: Check README counter (PR, read-only)
if: github.event_name == 'pull_request'
run: |
n="${{ steps.count.outputs.count }}"
ok=true
if ! grep -qE "^${n} streaming-first indicators" README.md; then
echo "::error::README.md does not say '${n} streaming-first indicators' — lib.rs exports ${n}. Re-run the indicator wiring (it bumps README.md), then push again."
ok=false
fi
if ! grep -qE "\*\*${n} indicators\*\*" docs/README.md; then
echo "::error::docs/README.md does not say '**${n} indicators**' — lib.rs exports ${n}. Re-run the indicator wiring (it bumps docs/README.md), then push again."
ok=false
fi
if [ "$ok" = "true" ]; then
echo "README.md + docs/README.md counter already at ${n}; nothing to do."
else
exit 1
fi
# ----- main / tag flow ------------------------------------------
#
# After a PR squash-merges, this workflow runs again on the push to main.
# README.md / docs/README.md are already correct (the indicator wiring
# bumped them in the merged code commit); the only outward syncs left are
# the GitHub About description (repo metadata, not a commit) and the docs /
# webpage / wiki / org repos (separate repos, no main history pollution).
# The wickra repo's own README is not touched on main any more.
- name: Update GitHub About (description + homepage)
if: github.event_name != 'pull_request'
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
# Canonical homepage — the docs site (P8.3). This is enforced on every
# run, so it must only point at docs.wickra.org once that domain is
# actually live (Cloudflare Pages, P8.1); merging this PR is therefore
# gated on the domain resolving, otherwise the About link would 404.
homepage="https://docs.wickra.org"
desc="Streaming-first technical indicators with a Rust core and Python, Node.js, WebAssembly, C ABI, .NET, and Go bindings. ${n} indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement."
# Enforce the homepage unconditionally — it is a constant, so this both
# corrects the stale kingchenc URL and self-heals any future drift.
# Same Administration-write permission as --description (no extra scope).
gh repo edit --homepage "$homepage"
current=$(gh repo view --json description -q .description)
if [ "$current" = "$desc" ]; then
echo "About description unchanged; homepage enforced."
else
gh repo edit --description "$desc"
echo "About description + homepage updated."
fi
# Counter sync target moved from the retired GitHub wiki to the docs site
# repo (wickra-lib/wickra-docs). The count appears in index.md (hero),
# overview.md prose, and Indicators-Overview.md prose. Soft-skips like the
# org steps so a token/scope gap never fails the run. Uses its own clone
# dir (docs-count) so it cannot collide with the tag-only version step
# below, which clones the same repo into `docs`.
- name: Sync docs indicator count (wickra-docs)
if: github.event_name != 'pull_request'
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/wickra-docs.git" docs-count 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/wickra-docs — ABOUT_SYNC_TOKEN likely lacks write on that repo (findings P10.0a). Skipping docs count sync."
exit 0
fi
cd docs-count
sed -i -E "s/[0-9]+ (streaming-first )?indicators/${n} \1indicators/g" index.md overview.md Indicators-Overview.md .vitepress/config.ts
if git diff --quiet; then
echo "Docs indicator count unchanged."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add index.md overview.md Indicators-Overview.md .vitepress/config.ts
git commit -m "chore: sync indicator count to ${n}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/wickra-docs failed — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a)."
else
echo "Docs indicator count synced to ${n}."
fi
# The GitHub wiki (wickra-lib/wickra.wiki) was collapsed to a single
# Home.md pointer page that sends visitors to docs.wickra.org, but that
# page still names the count ("… for all N indicators"), so keep it in
# sync here too. Mirrors the docs/webpage count steps: own clone dir
# (wiki-count) and the same soft-skip contract. Wiki write rides on the
# parent repo's permission, so the PAT needs write on wickra-lib/wickra;
# the wiki has no signing gate, so a plain wickra-bot commit is fine.
- name: Sync wiki pointer indicator count (wickra.wiki)
if: github.event_name != 'pull_request'
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/wickra.wiki.git" wiki-count 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/wickra.wiki — ABOUT_SYNC_TOKEN likely lacks write on the wiki. Skipping wiki count sync."
exit 0
fi
cd wiki-count
sed -i -E "s/[0-9]+ (streaming-first )?indicators/${n} \1indicators/g" Home.md
if git diff --quiet; then
echo "Wiki pointer indicator count unchanged."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add Home.md
git commit -m "chore: sync indicator count to ${n}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/wickra.wiki failed — ABOUT_SYNC_TOKEN likely lacks write on the wiki."
else
echo "Wiki pointer indicator count synced to ${n}."
fi
# ----- org-profile sync (soft-skip until PAT scope lands) -------
#
# These two steps keep the org page (github.com/wickra-lib) in sync
# with the same count. They need ABOUT_SYNC_TOKEN scope the main-repo
# syncs do not: write on wickra-lib/.github, and admin:org for the org
# description PATCH. Both are written to soft-skip with a ::warning::
# (never fail the run) so this workflow stays green before the scope is
# granted — once it is, they start syncing with no further code change.
- name: Sync org profile README count
if: github.event_name != 'pull_request'
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/.github.git" orgprofile 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/.github — ABOUT_SYNC_TOKEN likely lacks write on that repo (findings P10.0a). Skipping org profile sync."
exit 0
fi
cd orgprofile
sed -i -E "s/[0-9]+ (streaming-first )?indicators/${n} \1indicators/g" profile/README.md
if git diff --quiet; then
echo "Org profile README count unchanged."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add profile/README.md
git commit -m "chore: sync indicator count to ${n}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/.github failed — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a)."
else
echo "Org profile README synced to ${n}."
fi
- name: Sync org description
if: github.event_name != 'pull_request'
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
org="wickra-lib"
# Reading the org description is public; the PATCH needs admin:org.
current=$(gh api "orgs/${org}" --jq '.description // ""' 2>/dev/null || true)
if [ -z "$current" ]; then
echo "::warning::could not read org description (network/PAT?). Skipping."
exit 0
fi
updated=$(printf '%s' "$current" | sed -E "s/[0-9]+ indicators/${n} indicators/")
if [ "$current" = "$updated" ]; then
echo "Org description count unchanged."
exit 0
fi
if gh api -X PATCH "orgs/${org}" -f description="$updated" >/dev/null 2>&1; then
echo "Org description synced to ${n}."
else
echo "::warning::org description PATCH failed — ABOUT_SYNC_TOKEN likely lacks admin:org (findings P10.0b)."
fi
# ----- docs version sync (tag-only, soft-skip until PAT scope lands) -----
#
# Surface 7: the docs site (wickra-lib/wickra-docs) carries the published
# version in the "Published versions" table (overview.md) and the Rust
# quickstart prose. Unlike the indicator count these change only on a
# release, so this step runs on v* tag pushes only and takes the version
# straight from the tag. It needs ABOUT_SYNC_TOKEN to have write on
# wickra-lib/wickra-docs (findings P10.0a). Until that scope is granted it
# soft-skips with a ::warning:: and never fails the run; once granted, every
# release self-heals the docs version with no code change (replaces the old
# manual P0.5 post-release wiki bump).
- name: Sync docs version (wickra-docs)
if: startsWith(github.ref, 'refs/tags/v')
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
version="${GITHUB_REF#refs/tags/v}"
if ! printf '%s' "$version" | grep -qE '^[0-9]+\.[0-9]+\.[0-9]+$'; then
echo "::warning::tag '${GITHUB_REF}' is not a plain vMAJOR.MINOR.PATCH release; skipping docs version sync."
exit 0
fi
# Clone into `docs-ver`, NOT `docs`: on a tag push this job checks out
# the wickra repo at the workspace root, which already contains a
# top-level `docs/` directory, so `git clone … docs` fails with
# "destination path 'docs' already exists" — silently, because of the
# 2>/dev/null below — and the version sync never runs (this is exactly
# why v0.4.0 did not bump the docs table). `docs-ver` mirrors the
# `docs-count` dir used by the count step above and collides with
# nothing in the repo.
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/wickra-docs.git" docs-ver 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/wickra-docs — ABOUT_SYNC_TOKEN likely lacks write on that repo (findings P10.0a). Skipping docs version sync."
exit 0
fi
cd docs-ver
# Published-versions table rows (crates.io / PyPI / npm): replace only the
# version number, leaving the trailing padding + pipe intact. The '.' in
# the quickstart pattern matches the literal backtick around the version
# without needing a backtick in this shell string. Historical "since
# X.Y.Z" references contain no such anchor and are never matched.
sed -i -E "s/^(\| (crates\.io|PyPI|npm) .*\| )[0-9]+\.[0-9]+\.[0-9]+/\1${version}/" overview.md
sed -i -E "s/(published crate is at version .)[0-9]+\.[0-9]+\.[0-9]+/\1${version}/" Quickstart-Rust.md
if git diff --quiet; then
echo "Docs version already at ${version}."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add overview.md Quickstart-Rust.md
git commit -m "chore: sync published version to ${version}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/wickra-docs failed — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a)."
else
echo "Docs version synced to ${version}."
fi
# ----- webpage (marketing site) self-update (findings P12.1) ------------
#
# The marketing site (wickra-lib/webpage) carries the same indicator count
# and published version as the docs. Mirrors the docs steps above: the
# count syncs on push-to-main + tag, the version syncs on v* tags only.
# Distinct clone dirs (webpage-count / webpage-ver) avoid any collision on
# a tag run. Soft-skips with a ::warning:: if the token can't reach the
# repo, so the run never fails.
- name: Sync webpage indicator count (wickra-lib/webpage)
if: github.event_name != 'pull_request'
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
n="${{ steps.count.outputs.count }}"
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/webpage.git" webpage-count 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/webpage — ABOUT_SYNC_TOKEN likely lacks write on that repo (findings P10.0a). Skipping webpage count sync."
exit 0
fi
cd webpage-count
sed -i -E "s/[0-9]+ (streaming-first )?indicators/${n} \1indicators/g" index.md about.md .vitepress/config.ts
if git diff --quiet; then
echo "Webpage indicator count unchanged."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add index.md about.md .vitepress/config.ts
git commit -m "chore: sync indicator count to ${n}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/webpage failed — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a)."
else
echo "Webpage indicator count synced to ${n}."
fi
- name: Sync webpage version (wickra-lib/webpage)
if: startsWith(github.ref, 'refs/tags/v')
continue-on-error: true
env:
GH_TOKEN: ${{ secrets.ABOUT_SYNC_TOKEN }}
run: |
version="${GITHUB_REF#refs/tags/v}"
if ! printf '%s' "$version" | grep -qE '^[0-9]+\.[0-9]+\.[0-9]+$'; then
echo "::warning::tag '${GITHUB_REF}' is not a plain vMAJOR.MINOR.PATCH release; skipping webpage version sync."
exit 0
fi
# The webpage pins wickra-wasm to the released version in package.json,
# and its Cloudflare Pages build runs `npm clean-install`. release.yml
# publishes wickra-wasm to npm in parallel on this same tag and finishes
# minutes later, so committing the bump immediately would point the site
# at a version npm cannot resolve yet (ETARGET) and break the build —
# exactly what happened on v0.4.0. Wait until wickra-wasm@$version is
# actually live on npm before committing; if it never appears (the wasm
# publish failed), skip rather than push a build-breaking commit.
echo "Waiting for wickra-wasm@${version} on npm before bumping the webpage..."
attempts=0
until npm view "wickra-wasm@${version}" version >/dev/null 2>&1; do
attempts=$((attempts + 1))
if [ "$attempts" -ge 30 ]; then
echo "::warning::wickra-wasm@${version} not on npm after ~15 min; skipping webpage version sync to avoid a broken Cloudflare build."
exit 0
fi
echo " not on npm yet (attempt ${attempts}/30); waiting 30s..."
sleep 30
done
echo "wickra-wasm@${version} is live on npm; proceeding with the webpage version bump."
if ! git clone "https://x-access-token:${GH_TOKEN}@github.com/wickra-lib/webpage.git" webpage-ver 2>/dev/null; then
echo "::warning::cannot clone wickra-lib/webpage — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a). Skipping webpage version sync."
exit 0
fi
cd webpage-ver
# api/*.md "Latest" lines, the nav version label, and the wickra-wasm
# dep pin. The '.' anchors match the backtick / quote / caret without a
# literal in this shell string; historical "Since X.Y.Z" prose has no
# such anchor and is never matched.
sed -i -E "s/(Latest:\*\* \[.wickra(-wasm)? )[0-9]+\.[0-9]+\.[0-9]+/\1${version}/" api/*.md
sed -i -E "s/(text: .v)[0-9]+\.[0-9]+\.[0-9]+/\1${version}/" .vitepress/config.ts
sed -i -E "s/(.wickra-wasm.: .\^)[0-9]+\.[0-9]+\.[0-9]+/\1${version}/" package.json
# Keep package-lock.json in sync with the package.json bump. The site's
# Cloudflare build runs `npm clean-install` (npm ci), which hard-fails
# with EUSAGE if the lockfile still pins the previous wickra-wasm —
# editing package.json alone is not enough. The npm-wait above already
# proved wickra-wasm@$version is resolvable, so --package-lock-only
# regenerates the lock (version + resolved + integrity) without fetching
# node_modules. Guard it: if the regen fails, skip the whole commit so we
# never push a package.json/lock mismatch that would break the build.
if ! npm install --package-lock-only --no-audit --no-fund; then
echo "::warning::could not regenerate package-lock.json for wickra-wasm@${version}; skipping webpage version sync to avoid a lockfile-drift build break."
exit 0
fi
if git diff --quiet; then
echo "Webpage version already at ${version}."
exit 0
fi
git config user.name "wickra-bot"
git config user.email "wickra-bot@users.noreply.github.com"
git add api/*.md .vitepress/config.ts package.json package-lock.json
git commit -m "chore: sync published version to ${version}"
if ! git push 2>/dev/null; then
echo "::warning::push to wickra-lib/webpage failed — ABOUT_SYNC_TOKEN likely lacks write (findings P10.0a)."
else
echo "Webpage version synced to ${version}."
fi
+24
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@@ -0,0 +1,24 @@
name: sync-metadata
on:
push:
branches: [main]
pull_request:
workflow_dispatch:
permissions:
contents: read
jobs:
audit:
name: metadata audit
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.12"
- name: Audit repo-metadata.toml drift
run: python .github/scripts/sync-metadata.py --check
+40
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@@ -0,0 +1,40 @@
name: zizmor
# Static analysis of the GitHub Actions workflows themselves — the surface the
# CodeQL pass does not cover. zizmor flags template injection, overly broad
# GITHUB_TOKEN permissions, unpinned actions, cache poisoning, and dangerous
# triggers. Findings appear under Security -> Code scanning alongside CodeQL.
#
# Report-only: with `advanced-security: true` the action runs zizmor in SARIF
# mode, which exits 0 regardless of findings, so this job never blocks CI —
# triage happens in the Security tab. Switch to gating later (e.g. a
# `min-severity` input) once the existing findings are triaged.
on:
push:
branches: [main]
pull_request:
branches: [main]
schedule:
- cron: '17 4 * * 1' # Mondays 04:17 UTC
# Least-privilege default for the auto-injected GITHUB_TOKEN; the job raises
# exactly the scopes it needs below (matches codeql.yml's pattern).
permissions:
contents: read
jobs:
zizmor:
name: Audit workflows
runs-on: ubuntu-latest
permissions:
security-events: write # upload SARIF to code-scanning
contents: read # checkout
actions: read # online audits resolve referenced actions
steps:
- name: Checkout
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: Run zizmor
uses: zizmorcore/zizmor-action@5f14fd08f7cf1cb1609c1e344975f152c7ee938d # v0.5.6
+49
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@@ -0,0 +1,49 @@
# zizmor configuration — https://docs.zizmor.sh/configuration/
#
# cache-poisoning (release.yml):
# The release pipeline restores build caches (Swatinem/rust-cache for the Rust
# compilation, actions/setup-node) as a deliberate, accepted optimisation.
# zizmor flags these under cache-poisoning because release.yml publishes
# artifacts to crates.io / PyPI / npm, so a poisoned cache could in theory
# reach a released build. Our caches are maintainer-controlled and the
# restore speedup is kept on purpose; we accept this risk rather than running
# cache-free release builds. (Six of the eight hits are actions/setup-node,
# which zizmor reports at "Low" confidence.)
#
# artipacked (sync-about.yml):
# The sync-about job checks out with persisted credentials on purpose: it
# pushes the indicator-count fix-up back to the PR head branch (git commit +
# git push), which needs the token in the runner's git config. It uploads no
# artifacts, so the persisted token is never packaged or leaked; accept it.
#
# template-injection (sync-about.yml):
# False positive. Every flagged expansion is steps.count.outputs.count, the
# indicator count produced by an internal `grep -c` over lib.rs. It is not
# attacker-controllable, so there is nothing to inject.
#
# use-trusted-publishing (release.yml):
# Informational suggestion to use OIDC trusted publishing for PyPI / npm
# instead of long-lived tokens. A worthwhile migration, but it reconfigures
# the live publish pipeline on the registry side; tracked separately rather
# than blocking on it here.
#
# superfluous-actions (release.yml):
# The GitHub release step uses softprops/action-gh-release. The runner ships
# `gh`, so this is replaceable by a script step, but the action is stable and
# battle-tested; we keep it deliberately.
rules:
cache-poisoning:
ignore:
- release.yml
artipacked:
ignore:
- sync-about.yml
template-injection:
ignore:
- sync-about.yml
use-trusted-publishing:
ignore:
- release.yml
superfluous-actions:
ignore:
- release.yml
+8 -3
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@@ -42,11 +42,16 @@ tarpaulin-report.html
*.local.toml
# Node binding artifacts
bindings/node/node_modules/
**/node_modules/
bindings/node/*.node
bindings/node/index.d.ts
bindings/node/npm-debug.log*
package-lock.json
# index.js + index.d.ts are generated by `napi build` but committed (a matched
# pair) so consumers and the repo get TypeScript types; CONTRIBUTING requires
# regenerating both when a binding's public API changes.
# package-lock.json is committed for the tracked Node packages — bindings/node/
# and examples/node/ — so contributors get reproducible npm installs. There is
# no top-level npm package, and the ghost-ignored site/ keeps its lockfile local.
# See CONTRIBUTING.md "Lockfile policy" for the full per-component breakdown.
# WASM build output
bindings/wasm/pkg/
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# Architecture
A walkthrough of how Wickra is organised internally — written for new
contributors who want to know **where the code lives, why it's split that
way, and which invariants they must not break**. Pair it with [`CONTRIBUTING.md`](CONTRIBUTING.md)
for the day-to-day workflow.
## Workspace layout
Wickra is a Cargo workspace of three Rust crates plus three binding crates.
The split is deliberate: every concern that one user might want to disable
or replace lives behind a separate crate boundary.
```
┌────────────────────────────────────────────────────────────────────┐
│ wickra (facade) │
│ re-exports wickra-core::* + wickra-data::* │
└──────────────┬──────────────────────────────────┬──────────────────┘
│ │
┌───────────▼──────────┐ ┌──────────▼─────────┐
│ wickra-core │ │ wickra-data │
│ indicator engine │ │ i/o + aggregation │
│ • 214 indicators │ │ • CSV reader │
│ • Indicator trait │ │ • Tick aggregator │
│ • BatchExt impl │ │ • Resampler │
│ • OHLCV / Candle │ │ • Live feeds │
│ no I/O, no deps │ │ optional features │
└──────────────────────┘ └────────────────────┘
│ every binding wraps the same core
┌────────────┼────────────┬────────────────┐
│ │ │ │
┌──▼───────┐ ┌──▼───────┐ ┌──▼───────────┐ ┌──▼──────────────────┐
│ Python │ │ Node │ │ WASM │ │ C ABI (cbindgen) │
│ (PyO3) │ │ (napi-rs)│ │(wasm-bindgen)│ │ cdylib + header │
└──────────┘ └──────────┘ └──────────────┘ └─────────┬───────────┘
│ linked by
┌──────────▼──────────┐
│ C · C++ · C# · Go │
│ · Java · R │
└─────────────────────┘
```
Python, Node and WASM are *native* Rust bindings (PyO3 / napi-rs /
wasm-bindgen). The C ABI is the *hub* every other C-capable language links
against: it builds to a `cdylib`/`staticlib` plus a generated `wickra.h`, and
downstream languages link that one artifact rather than each re-wrapping the
core. C and C++ link it directly; the **C# / .NET** binding (`bindings/csharp`,
on NuGet) and the **Go** binding (`bindings/go`, cgo) are generated from
`wickra.h`, with Java / R planned the same way.
| Crate | Path | What it owns | Public deps |
|---|---|---|---|
| `wickra-core` | `crates/wickra-core` | every indicator, the `Indicator` trait, `BatchExt`, `Candle`/`Tick` types, `Error` | `thiserror`, `rayon` (parallel batch) |
| `wickra` | `crates/wickra` | thin facade — re-exports everything user-facing from `wickra-core` and `wickra-data` | both internal crates |
| `wickra-data` | `crates/wickra-data` | CSV reader, tick aggregator, resampler, live exchange feeds (feature-gated) | `tokio`, `tokio-tungstenite` (live), `serde_json` |
| `wickra-python` | `bindings/python` | `_wickra` PyO3 module + Python package | `pyo3`, `numpy`, depends on `wickra-core` |
| `wickra-node` | `bindings/node` | NAPI-RS native binding | `napi`, depends on `wickra-core` |
| `wickra-wasm` | `bindings/wasm` | WebAssembly binding | `wasm-bindgen`, depends on `wickra-core` |
| `wickra-c` | `bindings/c` | C ABI hub — `cdylib`/`staticlib` + generated `wickra.h` (cbindgen) | depends on `wickra-core` |
| `wickra-examples` | `examples/rust` | runnable binary examples | depends on `wickra`, `wickra-data` |
The `fuzz/` directory is **excluded** from the workspace (it has its own
`Cargo.toml`) because the libfuzzer-sys harness requires a nightly
toolchain, which would otherwise infect the stable workspace lints.
## The `Indicator` trait
Every indicator in Wickra implements one trait, defined in
`crates/wickra-core/src/traits.rs`:
```rust
pub trait Indicator {
type Input;
type Output;
fn update(&mut self, input: Self::Input) -> Option<Self::Output>;
fn reset(&mut self);
fn warmup_period(&self) -> usize;
fn is_ready(&self) -> bool;
fn name(&self) -> &'static str;
}
```
Four design choices that are non-negotiable:
1. **Streaming-first.** `update` is the only computation entry point. Each
call must be O(1) amortised — no replays over history, no `clone`s of
the input window unless absolutely necessary.
2. **`Option<Output>` warmup.** A new indicator returns `None` until it has
ingested `warmup_period()` inputs. After that it returns `Some(value)`
on every call. The `None``Some` transition happens exactly once per
`reset()`.
3. **Reset is mandatory.** Calling `reset()` returns the indicator to the
state of a newly constructed one. Tests verify this for every indicator.
4. **No interior mutability across `update` calls.** Indicators may hold
`VecDeque` / array state, but no `Cell`/`RefCell`/`Mutex` should be
needed — `&mut self` is the only mutation channel.
### Batch is free
`BatchExt` is a blanket impl over `Indicator`:
```rust
impl<I: Indicator> BatchExt for I {
fn batch<'a>(&mut self, input: &'a [I::Input]) -> Vec<Option<I::Output>>
where I::Input: Copy
{
input.iter().map(|x| self.update(*x)).collect()
}
fn batch_parallel(...) // rayon-based for multi-asset processing
}
```
Consequence: **every indicator gets batch and parallel-batch for free** as
soon as `Indicator` is implemented. Tests verify `batch == streaming`
equivalence on every indicator — this is the `batch_equals_streaming` test
that appears in every indicator module.
## Indicator-module convention
Each indicator lives in its own file under
`crates/wickra-core/src/indicators/`. Naming: snake-case of the struct,
e.g. `Sma``sma.rs`, `MacdIndicator``macd.rs`.
Layout inside an indicator file is uniform:
```rust
//! Doc-comment with the formula and one-line summary.
use std::collections::VecDeque;
use crate::error::{Error, Result};
use crate::traits::Indicator;
/// Public struct + rustdoc with mathematical definition + a runnable example.
#[derive(Debug, Clone)]
pub struct Foo { /* state fields */ }
impl Foo {
/// Constructor with parameter validation.
pub fn new(period: usize, ...) -> Result<Self> { ... }
/// Const accessors for configured params.
pub const fn period(&self) -> usize { ... }
}
impl Indicator for Foo {
type Input = f64; // or (f64, f64), or Candle
type Output = f64; // or FooOutput { ... }
fn update(...) -> ... { ... }
fn reset(...) { ... }
fn warmup_period(...) -> usize { ... }
fn is_ready(...) -> bool { ... }
fn name(...) -> &'static str { "Foo" }
}
#[cfg(test)]
mod tests {
// mandatory tests (every indicator):
// - rejects_invalid_params
// - accessors_and_metadata
// - reference_value (vs TA-Lib / pandas-ta / hand-calculated)
// - ignores_non_finite_input
// - reset_clears_state
// - batch_equals_streaming
// plus indicator-specific edge cases
}
```
The `FAMILIES` constant in `mod.rs` (introduced in PR #60) is the
machine-readable index of which family every indicator belongs to. It is
the canonical taxonomy; README and Wiki tables should be derived from it.
## Input types
| Input | Used for | Examples |
|---|---|---|
| `f64` | Scalar inputs — usually a price or a return | SMA, EMA, RSI, ROC |
| `Candle` | OHLCV bar — `{open, high, low, close, volume, timestamp}` | ATR, Bollinger, Ichimoku, all candlestick patterns |
| `(f64, f64)` | Two-series indicators — `(asset, benchmark)` or `(x, y)` | PearsonCorrelation, Beta, Alpha, TreynorRatio |
The `Candle` type lives in `wickra-core::ohlcv` and is the binding
contract across bindings — Python's `Candle` namedtuple, Node's
`Candle` object, and WASM's `Candle` JS class all map 1:1.
## Output types
Most indicators emit `f64`. Multi-output indicators emit a dedicated
struct in the same module, named `FooOutput`:
```rust
pub struct BollingerOutput {
pub upper: f64,
pub middle: f64,
pub lower: f64,
}
```
Bindings flatten these into matrix outputs (NumPy 2-D array for Python,
typed object arrays for Node/WASM).
## Numerical-stability notes
A handful of indicators need care beyond naive accumulation:
- **Welford's online variance** is used in `StdDev`, `Variance`, `ZScore`,
`BollingerBands`, and several others. Standard sum-of-squares is
catastrophically lossy for low-variance inputs; Welford's recurrence
keeps O(eps) error.
- **Kahan summation** is used wherever rolling sums could span > 1e6
elements without resetting — currently only Hurst-exponent's R/S
chunks. Most rolling sums are bounded by the window size and don't need
it.
- **Logarithm bases** matter for some indicators (Hurst, MFI). Wickra
uses natural log everywhere unless the reference math explicitly
requires `log10` or `log2` — and then it documents the choice in the
rustdoc.
- **NaN / infinity guards.** Every indicator's `update` rejects
non-finite input early (returns `None` without state mutation). Tests
cover this with `ignores_non_finite_input`.
## Cross-crate flow
A typical full-stack call sequence for a Python live-trading example:
```
[ Python: live_trading.py ]
[ binance.AsyncClient WebSocket ] ──── wickra_data live feed ───┐
┌──────────────────┘
[ Candle struct conversion ]
[ PyRsi.update(close) ]
wraps │
[ wickra_core::Rsi::update(f64) ] <-- the only place math runs
[ Option<f64> -> Py<PyFloat> ]
[ Python user code ]
```
The same call sequence happens identically for Node (via NAPI),
WASM (via wasm-bindgen → JS), and Rust (no FFI overhead, just direct
calls).
## What lives where — the navigation cheat sheet
| You want to … | Look in |
|---|---|
| add a new indicator | `crates/wickra-core/src/indicators/<name>.rs` + add to `mod.rs` + add to `FAMILIES` + re-export in `lib.rs` |
| change the `Indicator` trait surface | `crates/wickra-core/src/traits.rs` — this affects every indicator, treat as breaking |
| add a new Candle field | `crates/wickra-core/src/ohlcv.rs` — also propagates to every binding's `Candle` mapping |
| add a new exchange / data source | `crates/wickra-data/src/live/<exchange>.rs`, feature-gated under `live-<exchange>` |
| expose a new binding | new crate under `bindings/` + macro-driven boilerplate in `bindings/<lang>/src/lib.rs` |
| change benchmark coverage | `crates/wickra/benches/indicators.rs` |
| add a new fuzz target | `fuzz/fuzz_targets/<name>.rs` + register in `fuzz/Cargo.toml` |
| change CI matrix | `.github/workflows/ci.yml` |
| change release pipeline | `.github/workflows/release.yml` (irreversible on `v*` tag — test on a throwaway tag first) |
## What is **deliberately** not in this repo
- **Backtest framework.** Wickra is an indicator library, not a backtester.
Strategy + PnL + fills logic is for the user (see `examples/` for
illustrative scripts).
- **Multi-exchange aggregation.** Binance is the demo feed; full
exchange-agnostic aggregation is `ccxt`'s job. Wickra's
`wickra-data::live` is intentionally minimal.
- **Order-book / L2 data.** Wickra works on OHLCV bars and ticks, not
full depth. Tick-data variants (cumulative delta, single print) are on
the roadmap but require new input types.
- **Charting / visualization.** Out of scope for the Rust core. The
WASM examples include a `lightweight-charts` integration as a
starting point, but no charting code lives in the published packages.
- **GPU / SIMD optimisation.** Indicators are O(1) per update — the
bottleneck is not vector throughput. SIMD would only help large-batch
workloads, which already saturate memory bandwidth via the cache-
friendly `VecDeque` window.
## Performance characteristics
Every indicator is amortised O(1) per `update`. The constant factor
varies:
| Class | Indicators | Per-`update` cost (approx) |
|---|---|---|
| Simple rolling | SMA, EMA, WMA, Mom | 1-2 floating-point ops |
| Recursive smoothers | KAMA, FRAMA, VIDYA, JMA | 5-15 ops |
| Window-sort | OmegaRatio, percentile-based VaR | O(period · log period) per update |
| Multi-buffer DSP | MAMA, HilbertDominantCycle, EmpiricalModeDecomposition | 30-80 ops |
| Multi-component | MacdIndicator, TtmSqueeze, Alligator | sum of components |
Benchmarks against real BTCUSDT 1-minute data live in
`crates/wickra/benches/indicators.rs`. Cross-library comparison vs
TA-Lib / pandas-ta / talipp / finta lives in
`bindings/python/benchmarks/compare_libraries.py`.
## Stability commitments
- **MSRV.** Workspace: Rust 1.86. Node binding: 1.88 (NAPI-RS pins it).
- **`Indicator` trait surface.** Breaking changes here are major-version
events. Adding a new method with a default impl is minor.
- **Indicator removal.** Once an indicator ships in a release, it stays
callable. Renames go through a deprecation period of at least one
minor version.
- **Output structs.** Adding a field to a `FooOutput` is non-breaking
because the binding contracts go through serde and accept extra keys.
## Open questions / known sharp edges
These are documented for contributors so you don't waste time
re-discovering them.
- **`Rvi`** (Relative Vigor Index) and `RviVolatility` (Relative
Volatility Index) are different indicators with the same short
acronym — make sure you import the right one.
- **Fuzz coverage of pair indicators** uses `indicator_update_pair.rs`,
which is small because pair indicators are simpler — but coverage
should grow as more pair indicators land.
- **`FAMILIES` (from PR #60) is hand-maintained.** Adding a new
indicator requires a separate entry in `FAMILIES`. The
`total_count_matches_expected` test will fail if you forget.
- **WASM does not have automated tests yet.** Smoke-validated only
through the manual examples. Adding `wasm-bindgen-test` coverage is
on the roadmap.
For the high-level project goals see [`ROADMAP.md`](ROADMAP.md); for
day-to-day contribution mechanics see [`CONTRIBUTING.md`](CONTRIBUTING.md).
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# Benchmarks
Read these as **relative** speedups on identical input — absolute µs depend on
CPU, memory clock and OS scheduler, not a universal contract. **Streaming is the
headline**: it is where Wickra's design pays off and where the gap is measured in
orders of magnitude, not percent. The batch numbers come second and are shown
honestly — the leanest crates edge Wickra out on the simple recurrences, and that
is a deliberate trade for warmup/NaN semantics, not a ceiling.
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 9950X, 64 GB DDR5,
Rust 1.92 (release: `lto = "fat"`, `codegen-units = 1`), Python 3.12.
- **Reproduce yourself:**
- Rust core vs Rust crates: `cargo bench -p wickra-bench`
- Python vs Python libs: `pip install -e bindings/python[bench]` then
`python -m benchmarks.compare_libraries` (auto-detects installed peers).
## 1. Streaming — the structural win
Live trading feeds one tick at a time. Wickra updates every indicator in **O(1)**;
batch-only libraries (TA-Lib, tulipy, finta, pandas-ta) have no incremental API
and must recompute the whole history on every tick. Only `talipp` (Python) and
`ta-rs` / `yata` (Rust) carry real per-tick state. This is the gap the library
was built to expose.
**Python — per-tick latency** (seed 5 000 bars, then feed ticks one at a time):
| Indicator | **★&nbsp;Wickra** | talipp | TA-Lib (recompute) |
|------------------|------------------:|------------------|-----------------------|
| SMA(20) | **0.089 µs ★** | 0.96 µs (11×) | 422 µs (4 700×) |
| EMA(20) | **0.111 µs ★** | 1.19 µs (11×) | 430 µs (3 900×) |
| RSI(14) | **0.061 µs ★** | 0.95 µs (16×) | 298 µs (4 900×) |
| MACD(12, 26, 9) | **0.079 µs ★** | 3.30 µs (42×) | 327 µs (4 100×) |
| Bollinger(20, 2) | **0.089 µs ★** | 4.97 µs (56×) | 296 µs (3 300×) |
Against the only other incremental Python peer Wickra is **1156× faster**;
against the recompute-on-every-tick libraries it is **2 80019 000× faster**
(`finta` RSI hits 19 000×). tulipy / pandas-ta land in the same recompute band
as TA-Lib.
**Rust — per-tick latency** (whole 50 000-bar series, lower = faster):
| Indicator | **★&nbsp;Wickra** | kand | ta-rs | yata |
|------------------|------------------:|-----:|------:|-----:|
| SMA(20) | 50 | 38 | 47 | 38 |
| EMA(20) | 154 | 69 | 56 | 69 |
| RSI(14) | 164 | 216 | 74 | — |
| MACD(12, 26, 9) | 275 | 143 | 66 | — |
| Bollinger(20, 2) | **128 ★** | 248 | 168 | — |
| ATR(14) | 152 | 166 | 61 | — |
`ta-rs` hands back a bare `f64` from the first tick with no warmup and no
validation; it leads several rows by giving those guarantees up. Against `kand`,
Wickra wins streaming RSI, Bollinger and ATR. `yata` exposes only SMA/EMA as
raw-value methods, so its other rows are omitted rather than faked.
## 2. Batch — competitive, not the headline
Whole series in one call. Here hand-tuned C (`tulipy`, TA-Lib) and the leanest
Rust crate (`kand`) win the simple recurrences — Wickra trades a few µs per pass
for the `None`-warmup, NaN-safety and bit-exact `batch == streaming` guarantees
none of them keep. It still wins several rows outright and beats the rest of the
field everywhere.
**Python** (20 000-bar pass, µs/op, lower = faster):
| Indicator | Wickra | TA-Lib | tulipy | pandas-ta | finta |
|------------------|---------:|---------:|---------:|----------:|---------:|
| SMA(20) | 22.2 | **15.6** | 15.9 | 32.7 | 290.1 |
| EMA(20) | 30.5 | **30.4** | 30.9 | 46.7 | 198.5 |
| RSI(14) | 52.3 | 72.0 | **34.2** | 88.8 | 812.3 |
| MACD(12, 26, 9) | 129.8 | 111.1 | **38.4** | 286.8 | 716.7 |
| Bollinger(20, 2) | 87.2 | 74.6 | **37.9** | 474.3 | 1255.5 |
| ATR(14) | 74.7 | 87.3 | **35.5** | — | 3496.4 |
Wickra beats pandas-ta and finta on every row and TA-Lib on RSI and ATR;
tulipy's SIMD C (and TA-Lib on SMA/EMA) lead the remaining rows.
**Rust** (50 000-bar pass, µs, lower = faster). Only Wickra and `kand` expose a
batch API; `ta-rs` and `yata` are streaming-only:
| Indicator | **★&nbsp;Wickra** | kand |
|------------------|------------------:|-------:|
| SMA(20) | 53 | **41** |
| EMA(20) | 111 | **71** |
| RSI(14) | **221 ★** | 259 |
| MACD(12, 26, 9) | 533 | **327** |
| Bollinger(20, 2) | **404 ★** | 460 |
| ATR(14) | **122 ★** | 169 |
Run the suite yourself:
```bash
cargo bench -p wickra-bench # Rust core vs kand / ta-rs / yata
pip install -e bindings/python[bench] # Python peers
python -m benchmarks.compare_libraries
```
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cff-version: 1.2.0
title: Wickra
message: >-
If you use Wickra in academic work, please cite it using the metadata
below.
type: software
authors:
- alias: kingchenc
email: support@wickra.org
repository-code: "https://github.com/wickra-lib/wickra"
url: "https://wickra.org"
abstract: >-
Wickra is a streaming-first technical-analysis library implemented in
Rust with bindings for Python, Node.js and WebAssembly. Each indicator
is a state machine that updates in constant time per new input, so
identical code paths serve live-trading workloads and historical
back-testing. The library covers 214 indicators across 16 families
(moving averages, momentum, volatility, volume, statistics, Ehlers
digital-signal-processing cycles, pivots, DeMark, Ichimoku, candlestick
patterns, market profile, and risk/performance metrics).
keywords:
- technical-analysis
- technical-indicators
- streaming
- algorithmic-trading
- quantitative-finance
- rust
- time-series
license:
- MIT
- Apache-2.0
+47
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# Code of Conduct
## Our pledge
We as members, contributors, and maintainers pledge to make participation in
the Wickra project a respectful and welcoming experience for everyone,
regardless of background or identity.
## Our standards
Behaviour that helps build a positive community includes:
- Showing empathy and kindness toward others.
- Respecting differing opinions, viewpoints, and experiences.
- Giving and gracefully accepting constructive feedback.
- Taking responsibility for mistakes and learning from them.
- Focusing on what is best for the project and the community.
Behaviour that is not acceptable includes:
- Personal attacks, insults, or derogatory comments.
- Harassment of any kind, public or private.
- Publishing others' private information without explicit permission.
- Other conduct that would reasonably be considered inappropriate in a
professional setting.
## Scope
This Code of Conduct applies in all project spaces — the repository, issues,
pull requests, and discussions — and when an individual is representing the
project in public spaces.
## Enforcement
Instances of unacceptable behaviour may be reported to the project maintainer
at **support@wickra.org**. All reports will be reviewed and investigated
promptly and fairly, and the maintainer will respect the privacy and security
of the reporter.
Maintainers may take any action they deem appropriate, including warnings,
temporary bans, or permanent removal from the project, for behaviour that
violates this Code of Conduct.
## Attribution
This Code of Conduct is adapted from the
[Contributor Covenant](https://www.contributor-covenant.org), version 2.1.
+162
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@@ -0,0 +1,162 @@
# Contributing to Wickra
Thanks for your interest in improving Wickra. This document explains how to
build the project, the standards a change must meet, and how to get it merged.
## License of contributions
Wickra is dual-licensed under the [MIT](LICENSE-MIT) and
[Apache-2.0](LICENSE-APACHE) licenses; users may choose either. Unless you
explicitly state otherwise, any contribution you intentionally submit for
inclusion in the work, as defined in the Apache-2.0 license, shall be dual
licensed as above, without any additional terms or conditions.
## Project layout
| Path | Contents |
| --- | --- |
| `crates/wickra-core` | The indicator engine — every indicator lives here. |
| `crates/wickra` | Thin umbrella crate re-exporting `wickra-core`. |
| `crates/wickra-data` | CSV reader, tick aggregator, resampler, Binance feed. |
| `bindings/python` | PyO3 bindings (`wickra` on PyPI). |
| `bindings/node` | napi-rs bindings (`wickra` on npm). |
| `bindings/wasm` | wasm-bindgen bindings (`wickra-wasm` on npm). |
| `bindings/c` | C ABI — `cdylib` + `staticlib` + generated `include/wickra.h`. The hub for C / C++ and any C-capable language. |
| `bindings/csharp` | .NET binding over the C ABI (`Wickra` on NuGet) — `[LibraryImport]` P/Invoke generated from `wickra.h`. |
| `bindings/go` | Go binding over the C ABI via cgo (module tag `bindings/go/vX.Y.Z`) — wrappers generated from `wickra.h`. |
| `examples/` | Runnable examples. |
| `docs/` | Pointer to the documentation site (docs.wickra.org); the docs live in the `wickra-lib/wickra-docs` repo. |
## Building and testing
### Rust
```bash
cargo fmt --all --check
cargo clippy --workspace --all-targets -- -D warnings
cargo test --workspace
cargo test -p wickra-data --features live-binance
```
The minimum supported Rust version is **1.86** for the workspace crates and
**1.88** for `bindings/node`; the `msrv` CI job enforces both. These floors are
not chosen freely — they are the lowest versions our dependencies allow
(criterion 0.8.2, the bench dev-dependency, requires 1.86; napi-build 2.3.2
requires 1.88). We keep the MSRV at that dependency-forced floor on purpose so
the library builds for the widest possible audience; please don't raise it
without a dependency that actually requires it.
### Python
```bash
cd bindings/python
python -m maturin build --release --out dist
python -m pip install --force-reinstall --no-deps dist/wickra-*.whl
python -m pytest -q
```
### Node
```bash
cd bindings/node
npm install
npx napi build --platform --release
node --test __tests__/
```
### WASM
```bash
wasm-pack build bindings/wasm --target web --release --features panic-hook
wasm-pack test --node bindings/wasm
```
## Lockfile policy
| Component | Lockfile | Tracked? | Why |
| --- | --- | --- | --- |
| Workspace (Rust) | `Cargo.lock` | **yes** | The workspace ships binaries (examples, fuzz harness) and CI builds, so the dependency graph is pinned for reproducible builds. |
| `bindings/node` | `package-lock.json` | **yes** | Reproducible `npm install` for the native binding. |
| `examples/node` | `package-lock.json` | **yes** | Same — the runnable Node examples link the binding via a `file:` dependency. |
| `bindings/python` | — | n/a (no lockfile) | The published package pins only `numpy>=1.22` at runtime; its native code is pinned through the workspace `Cargo.lock`. The CI/bench dev tooling it installs is hash-locked separately — see the `.github/requirements` row. |
| `.github/requirements` | `*.txt` (hash-pinned) | **yes** | CI/bench Python tooling, locked with `uv pip compile --generate-hashes` (OpenSSF Scorecard PinnedDependencies). `ci-dev` is split per Python version — `ci-dev-py39.txt` and `ci-dev-py3.txt` — because numpy ships no single release with wheels for both cp39 and cp313; `bench.txt` covers the single-version bench job. |
| `fuzz` | `fuzz/Cargo.lock` | **no** (ignored) | `fuzz/` is a detached crate; `cargo-fuzz init` generates `fuzz/.gitignore` which ignores its `Cargo.lock`. The fuzz smoke job resolves dependencies fresh, so the lock is not needed for reproducibility here. |
| `site` (marketing) | `package-lock.json` | **no** (ghost-ignored) | The VitePress site is a local-only project excluded via `.git/info/exclude`; its lockfile stays local. |
When adding a new committed Node package, commit its `package-lock.json` too and
remove any matching ignore rule. Do **not** add a top-level `package-lock.json`
the repository root is not an npm package.
To refresh every committed lockfile in the workspace — `Cargo.lock`,
`fuzz/Cargo.lock`, the Node binding lock, and the hash-pinned Python
requirements — run `./scripts/update-lockfiles.sh`. It uses `uv` for the Python
locks (and bootstraps it on Linux/macOS if absent) so each target Python
version's hashed transitive closure can be regenerated without that interpreter
installed. Dependabot also keeps the `.github/requirements` pins current.
## Standards for a change
- **Formatting & lints.** `cargo fmt` must leave the tree unchanged and
`cargo clippy ... -D warnings` must be clean. CI gates both.
- **Tests.** New behaviour needs tests; bug fixes need a regression test.
- **Indicator correctness.** A new or changed indicator must have a
reference-value test against a known-good source (TA-Lib, pandas-ta, or a
hand-computed value) and a `reset` test.
- **Streaming parity.** An indicator's `batch` output must equal the sequence
of `update` calls.
- **Bindings.** A change to a public indicator API must be mirrored across the
Python, Node, and WASM bindings, including their type stubs / `.d.ts`. The C ABI
(`bindings/c`) is generated from the core, so regenerate it from the core and
commit `src/lib.rs` + `include/wickra.h`. The C# binding (`bindings/csharp`) is
generated from `wickra.h`, so regenerate and commit its `Generated/*.g.cs` too.
The Go binding (`bindings/go`) is likewise generated from `wickra.h`, so
regenerate and commit `indicators_gen.go` (`gofmt`-clean).
- **Docs.** Update the relevant page on the
[documentation site](https://docs.wickra.org) and the
`README.md` when behaviour or the public API changes. The docs live in
a separate git repository: `https://github.com/wickra-lib/wickra-docs`.
- **Changelog.** Add an entry under `## [Unreleased]` in `CHANGELOG.md`.
## Commit and pull-request workflow
1. Branch off `main`.
2. Keep commits focused — one logical change per commit, with an imperative
subject line and a body explaining *why*.
3. Open a pull request against `main` and fill in the template.
4. CI must be green before review.
## Reporting bugs and proposing features
Use the issue templates under
[`.github/ISSUE_TEMPLATE`](.github/ISSUE_TEMPLATE). For security-sensitive
reports, follow [`SECURITY.md`](SECURITY.md) instead of opening a public issue.
## Developer Certificate of Origin (DCO)
All contributions to Wickra are made under the [Developer Certificate of
Origin (DCO) 1.1](DCO). By signing off on your commits you certify that you
wrote the patch, or otherwise have the right to submit it under the project's
`MIT OR Apache-2.0` license.
Sign off every commit by adding a `Signed-off-by` trailer with your real name
and email — Git adds it automatically with the `-s` flag:
```bash
git commit -s -m "your message"
```
This produces a trailer of the form:
```
Signed-off-by: Your Name <you@example.com>
```
The name and email must match the commit author. Commits without a valid
sign-off line cannot be merged. To sign off a commit you already made, amend it
with `git commit -s --amend`, or sign off a range with an interactive rebase.
## Governance
Wickra's decision-making and maintainership are described in
[`GOVERNANCE.md`](GOVERNANCE.md); the current maintainers are listed in
[`MAINTAINERS.md`](MAINTAINERS.md).
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[[package]]
name = "rustix"
@@ -1451,9 +1461,9 @@ dependencies = [
[[package]]
name = "serde_json"
version = "1.0.149"
version = "1.0.150"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "83fc039473c5595ace860d8c4fafa220ff474b3fc6bfdb4293327f1a37e94d86"
checksum = "e8014e44b4736ed0538adeecded0fce2a272f22dc9578a7eb6b2d9993c74cfb9"
dependencies = [
"itoa",
"memchr",
@@ -1530,10 +1540,16 @@ dependencies = [
]
[[package]]
name = "target-lexicon"
version = "0.12.16"
name = "ta"
version = "0.5.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "61c41af27dd6d1e27b1b16b489db798443478cef1f06a660c96db617ba5de3b1"
checksum = "609409d472a0a7d8d4dd9e19891bbdef546b9dce670c3057d0e02192dc541226"
[[package]]
name = "target-lexicon"
version = "0.13.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "adb6935a6f5c20170eeceb1a3835a49e12e19d792f6dd344ccc76a985ca5a6ca"
[[package]]
name = "tempfile"
@@ -1548,33 +1564,13 @@ dependencies = [
"windows-sys",
]
[[package]]
name = "thiserror"
version = "1.0.69"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b6aaf5339b578ea85b50e080feb250a3e8ae8cfcdff9a461c9ec2904bc923f52"
dependencies = [
"thiserror-impl 1.0.69",
]
[[package]]
name = "thiserror"
version = "2.0.18"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4288b5bcbc7920c07a1149a35cf9590a2aa808e0bc1eafaade0b80947865fbc4"
dependencies = [
"thiserror-impl 2.0.18",
]
[[package]]
name = "thiserror-impl"
version = "1.0.69"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4fee6c4efc90059e10f81e6d42c60a18f76588c3d74cb83a0b242a2b6c7504c1"
dependencies = [
"proc-macro2",
"quote",
"syn",
"thiserror-impl",
]
[[package]]
@@ -1646,9 +1642,9 @@ dependencies = [
[[package]]
name = "tokio-tungstenite"
version = "0.24.0"
version = "0.29.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "edc5f74e248dc973e0dbb7b74c7e0d6fcc301c694ff50049504004ef4d0cdcd9"
checksum = "8f72a05e828585856dacd553fba484c242c46e391fb0e58917c942ee9202915c"
dependencies = [
"futures-util",
"log",
@@ -1659,22 +1655,50 @@ dependencies = [
]
[[package]]
name = "tungstenite"
version = "0.24.0"
name = "toml_datetime"
version = "1.1.1+spec-1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "18e5b8366ee7a95b16d32197d0b2604b43a0be89dc5fac9f8e96ccafbaedda8a"
checksum = "3165f65f62e28e0115a00b2ebdd37eb6f3b641855f9d636d3cd4103767159ad7"
dependencies = [
"serde_core",
]
[[package]]
name = "toml_edit"
version = "0.25.12+spec-1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d2153edc6955a6c354fad8f5efd38b6a8769bdccf9fe50f8e1329f81b0baa5d7"
dependencies = [
"indexmap",
"toml_datetime",
"toml_parser",
"winnow",
]
[[package]]
name = "toml_parser"
version = "1.1.2+spec-1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a2abe9b86193656635d2411dc43050282ca48aa31c2451210f4202550afb7526"
dependencies = [
"winnow",
]
[[package]]
name = "tungstenite"
version = "0.29.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6c01152af293afb9c7c2a57e4b559c5620b421f6d133261c60dd2d0cdb38e6b8"
dependencies = [
"byteorder",
"bytes",
"data-encoding",
"http",
"httparse",
"log",
"native-tls",
"rand 0.8.6",
"rand",
"sha1",
"thiserror 1.0.69",
"utf-8",
"thiserror",
]
[[package]]
@@ -1707,12 +1731,6 @@ version = "0.2.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
[[package]]
name = "unindent"
version = "0.2.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7264e107f553ccae879d21fbea1d6724ac785e8c3bfc762137959b5802826ef3"
[[package]]
name = "url"
version = "2.5.8"
@@ -1725,12 +1743,6 @@ dependencies = [
"serde",
]
[[package]]
name = "utf-8"
version = "0.7.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "09cc8ee72d2a9becf2f2febe0205bbed8fc6615b7cb429ad062dc7b7ddd036a9"
[[package]]
name = "utf8_iter"
version = "1.0.4"
@@ -1805,6 +1817,16 @@ dependencies = [
"wasm-bindgen-shared",
]
[[package]]
name = "wasm-bindgen-futures"
version = "0.4.71"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "96492d0d3ffba25305a7dc88720d250b1401d7edca02cc3bcd50633b424673b8"
dependencies = [
"js-sys",
"wasm-bindgen",
]
[[package]]
name = "wasm-bindgen-macro"
version = "0.2.121"
@@ -1837,6 +1859,45 @@ dependencies = [
"unicode-ident",
]
[[package]]
name = "wasm-bindgen-test"
version = "0.3.71"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "af5ec93229ad9ccd0a545a516dec76dc276613f278f6a91aa6b463d5b33d42d0"
dependencies = [
"async-trait",
"cast",
"js-sys",
"libm",
"minicov",
"nu-ansi-term",
"num-traits",
"oorandom",
"serde",
"serde_json",
"wasm-bindgen",
"wasm-bindgen-futures",
"wasm-bindgen-test-macro",
"wasm-bindgen-test-shared",
]
[[package]]
name = "wasm-bindgen-test-macro"
version = "0.3.71"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3c81b9fef827e575e0e54431736d1baa0d700315d8c62cfef1f61fa3aad0cbeb"
dependencies = [
"proc-macro2",
"quote",
"syn",
]
[[package]]
name = "wasm-bindgen-test-shared"
version = "0.2.121"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4f4d8ae7ad5440360e9799dfd42857d126454a88441ddf72d288ef83fa47f527"
[[package]]
name = "wasm-encoder"
version = "0.244.0"
@@ -1883,7 +1944,7 @@ dependencies = [
[[package]]
name = "wickra"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"approx",
"criterion",
@@ -1892,19 +1953,38 @@ dependencies = [
"wickra-data",
]
[[package]]
name = "wickra-bench"
version = "0.7.7"
dependencies = [
"criterion",
"kand",
"ta",
"wickra",
"wickra-data",
"yata",
]
[[package]]
name = "wickra-c"
version = "0.7.7"
dependencies = [
"wickra-core",
]
[[package]]
name = "wickra-core"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"approx",
"proptest",
"rayon",
"thiserror 2.0.18",
"thiserror",
]
[[package]]
name = "wickra-data"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"approx",
"csv",
@@ -1912,17 +1992,26 @@ dependencies = [
"serde",
"serde_json",
"tempfile",
"thiserror 2.0.18",
"thiserror",
"tokio",
"tokio-tungstenite",
"url",
"wickra",
"wickra-core",
]
[[package]]
name = "wickra-examples"
version = "0.7.7"
dependencies = [
"serde_json",
"tokio",
"wickra",
"wickra-data",
]
[[package]]
name = "wickra-node"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"napi",
"napi-build",
@@ -1932,7 +2021,7 @@ dependencies = [
[[package]]
name = "wickra-python"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"numpy",
"pyo3",
@@ -1941,16 +2030,33 @@ dependencies = [
[[package]]
name = "wickra-wasm"
version = "0.1.2"
version = "0.7.7"
dependencies = [
"console_error_panic_hook",
"js-sys",
"serde",
"serde-wasm-bindgen",
"wasm-bindgen",
"wasm-bindgen-test",
"wickra-core",
]
[[package]]
name = "winapi"
version = "0.3.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5c839a674fcd7a98952e593242ea400abe93992746761e38641405d28b00f419"
dependencies = [
"winapi-i686-pc-windows-gnu",
"winapi-x86_64-pc-windows-gnu",
]
[[package]]
name = "winapi-i686-pc-windows-gnu"
version = "0.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ac3b87c63620426dd9b991e5ce0329eff545bccbbb34f3be09ff6fb6ab51b7b6"
[[package]]
name = "winapi-util"
version = "0.1.11"
@@ -1960,6 +2066,12 @@ dependencies = [
"windows-sys",
]
[[package]]
name = "winapi-x86_64-pc-windows-gnu"
version = "0.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "712e227841d057c1ee1cd2fb22fa7e5a5461ae8e48fa2ca79ec42cfc1931183f"
[[package]]
name = "windows-link"
version = "0.2.1"
@@ -1975,6 +2087,15 @@ dependencies = [
"windows-link",
]
[[package]]
name = "winnow"
version = "1.0.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0592e1c9d151f854e6fd382574c3a0855250e1d9b2f99d9281c6e6391af352f1"
dependencies = [
"memchr",
]
[[package]]
name = "wit-bindgen"
version = "0.51.0"
@@ -2075,6 +2196,15 @@ version = "0.6.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1ffae5123b2d3fc086436f8834ae3ab053a283cfac8fe0a0b8eaae044768a4c4"
[[package]]
name = "yata"
version = "0.7.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6b4ef8ddfa3ccd93454262c0e60a43a2bbf403d404174e1815f7581d5028229f"
dependencies = [
"serde",
]
[[package]]
name = "yoke"
version = "0.8.2"
+14 -11
View File
@@ -7,23 +7,26 @@ members = [
"bindings/python",
"bindings/wasm",
"bindings/node",
"bindings/c",
"examples/rust",
"crates/wickra-bench",
]
exclude = []
exclude = ["fuzz"]
[workspace.package]
version = "0.1.2"
authors = ["Wickra Contributors"]
version = "0.7.7"
authors = ["kingchenc <support@wickra.org>"]
edition = "2021"
rust-version = "1.75"
license = "PolyForm-Noncommercial-1.0.0"
repository = "https://github.com/kingchenc/wickra"
homepage = "https://github.com/kingchenc/wickra"
rust-version = "1.86"
license = "MIT OR Apache-2.0"
repository = "https://github.com/wickra-lib/wickra"
homepage = "https://github.com/wickra-lib/wickra"
readme = "README.md"
keywords = ["finance", "trading", "indicators", "technical-analysis", "ta"]
categories = ["finance", "mathematics", "science"]
[workspace.dependencies]
wickra-core = { path = "crates/wickra-core", version = "0.1.2" }
wickra-core = { path = "crates/wickra-core", version = "0.7.7" }
thiserror = "2"
rayon = "1.10"
@@ -31,11 +34,11 @@ rayon = "1.10"
# Testing
proptest = "1.5"
approx = "0.5"
criterion = { version = "0.5", features = ["html_reports"] }
criterion = { version = "0.8", features = ["html_reports"] }
# Python binding
pyo3 = { version = "0.22", features = ["extension-module", "abi3-py39"] }
numpy = "0.22"
pyo3 = { version = "0.28", features = ["extension-module", "abi3-py39"] }
numpy = "0.28"
[workspace.lints.rust]
unsafe_code = "forbid"
+34
View File
@@ -0,0 +1,34 @@
Developer Certificate of Origin
Version 1.1
Copyright (C) 2004, 2006 The Linux Foundation and its contributors.
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
Developer's Certificate of Origin 1.1
By making a contribution to this project, I certify that:
(a) The contribution was created in whole or in part by me and I
have the right to submit it under the open source license
indicated in the file; or
(b) The contribution is based upon previous work that, to the best
of my knowledge, is covered under an appropriate open source
license and I have the right under that license to submit that
work with modifications, whether created in whole or in part
by me, under the same open source license (unless I am
permitted to submit under a different license), as indicated
in the file; or
(c) The contribution was provided directly to me by some other
person who certified (a), (b) or (c) and I have not modified
it.
(d) I understand and agree that this project and the contribution
are public and that a record of the contribution (including all
personal information I submit with it, including my sign-off) is
maintained indefinitely and may be redistributed consistent with
this project or the open source license(s) involved.
+71
View File
@@ -0,0 +1,71 @@
# Governance
Wickra is an open-source project maintained under a **single-maintainer
("BDFL") model**. This document describes how decisions are made and how the
project is run, so contributors know what to expect.
## Roles
- **Maintainer.** The maintainer (see [`MAINTAINERS.md`](MAINTAINERS.md)) is
responsible for the project's direction, reviews and merges changes, cuts
releases, and has final say on all technical and project decisions.
- **Contributors.** Anyone who proposes changes via pull requests, files
issues, improves documentation, or otherwise participates. Contributors do
not need any special status to take part.
## Decision-making
- Day-to-day technical decisions (APIs, indicator implementations, refactors)
are made by the maintainer, informed by discussion on issues and pull
requests.
- Proposals are raised as GitHub issues or pull requests. Significant or
breaking changes should be opened as an issue first to agree on the approach
before implementation.
- The maintainer aims to act transparently: rationale for non-trivial decisions
is recorded in the relevant issue, pull request, or commit message.
## Contribution flow
All changes — including the maintainer's own — go through pull requests so that
CI (tests, linting, static analysis) runs against them, and so the change
history is reviewable. Contribution requirements are documented in
[`CONTRIBUTING.md`](CONTRIBUTING.md), including the Developer Certificate of
Origin sign-off that every commit must carry.
## Becoming a maintainer
The project currently has one maintainer. Maintainership may be extended to
contributors who have demonstrated sustained, high-quality involvement, at the
current maintainer's discretion. If the project grows to multiple maintainers,
this document will be updated to describe shared decision-making.
## Continuity and succession
The project is designed to survive the loss of any single individual, so that
issues can be triaged, proposed changes accepted, and releases published within
one week of confirmed loss of the maintainer:
- **Credentials.** All credentials required to operate the project — the
`wickra-lib` GitHub organization, the publishing tokens for crates.io, PyPI
and npm, and the `wickra.org` domain registrar — are stored in a password
manager. A trusted contact (a family member) holds **emergency access** to
that password manager and can obtain these credentials if the maintainer can
no longer continue.
- **Continuity actions.** With that access, the trusted contact (or a delegate
they appoint) can create and close issues, accept pull requests, and publish
releases through the existing CI/CD workflows.
- **Account recovery.** The maintainer's GitHub account has recovery configured,
and ownership of the `wickra-lib` organization can be transferred to a new
maintainer.
- **Legal rights.** Legal rights to the project name and DNS are covered by the
maintainer's estate arrangements.
## Code of conduct
All participants are expected to follow the
[Code of Conduct](CODE_OF_CONDUCT.md).
## Changes to this document
This governance model may evolve as the project grows. Changes are made via
pull request and take effect once merged.
-136
View File
@@ -1,136 +0,0 @@
# PolyForm Noncommercial License 1.0.0
<https://polyformproject.org/licenses/noncommercial/1.0.0>
## Acceptance
In order to get any license under these terms, you must agree
to them as both strict obligations and conditions to all
your licenses.
## Copyright License
The licensor grants you a copyright license for the
software to do everything you might do with the software
that would otherwise infringe the licensor's copyright
in it for any permitted purpose. However, you may
only distribute the software according to [Distribution
License](#distribution-license) and make changes or new works
based on the software according to [Changes and New Works
License](#changes-and-new-works-license).
## Distribution License
The licensor grants you an additional copyright license
to distribute copies of the software. Your license to
distribute covers distributing the software with changes
and new works permitted by [Changes and New Works
License](#changes-and-new-works-license).
## Notices
You must ensure that anyone who gets a copy of any part of
the software from you also gets a copy of these terms or the
URL for them above, as well as copies of any plain-text lines
beginning with `Required Notice:` that the licensor provided
with the software. For example:
> Required Notice: Copyright 2026 kingchenc (https://github.com/kingchenc/wickra)
## Changes and New Works License
The licensor grants you an additional copyright license
to make changes and new works based on the software for any
permitted purpose.
## Patent License
The licensor grants you a patent license for the software that
covers patent claims the licensor can license, or becomes able
to license, that you would infringe by using the software.
## Noncommercial Purposes
Any noncommercial purpose is a permitted purpose.
## Personal Uses
Personal use for research, experiment, and testing for
the benefit of public knowledge, personal study, private
entertainment, hobby projects, amateur pursuits, or religious
observance, without any anticipated commercial application,
is use for a permitted purpose.
## Noncommercial Organizations
Use by any charitable organization, educational institution,
public research organization, public safety or health
organization, environmental protection organization, or
government institution is use for a permitted purpose regardless
of the source of funding or obligations resulting from the
funding.
## Fair Use
You may have "fair use" rights for the software under the
law. These terms do not limit them.
## No Other Rights
These terms do not allow you to sublicense or transfer any of
your licenses to anyone else, or prevent the licensor from
granting licenses to anyone else. These terms do not imply
any other licenses.
## Patent Defense
If you make any written claim that the software infringes or
contributes to infringement of any patent, your patent license
for the software granted under these terms ends immediately. If
your company makes such a claim, your patent license ends
immediately for work on behalf of your company.
## Violations
The first time you are notified in writing that you have
violated any of these terms, or done anything with the software
not covered by your licenses, your licenses can nonetheless
continue if you come into full compliance with these terms,
and take practical steps to correct past violations, within 32
days of receiving notice. Otherwise, all your licenses end
immediately.
## No Liability
***As far as the law allows, the software comes as is, without
any warranty or condition, and the licensor will not be liable
to you for any damages arising out of these terms or the use
or nature of the software, under any kind of legal claim.***
## Definitions
The **licensor** is the individual or entity offering these
terms, and the **software** is the software the licensor makes
available under these terms.
**You** refers to the individual or entity agreeing to these
terms.
**Your company** is any legal entity, sole proprietorship,
or other kind of organization that you work for, plus all
organizations that have control over, are under the control
of, or are under common control with that organization.
**Control** means ownership of substantially all the assets
of an entity, or the power to direct its management and
policies by vote, contract, or otherwise. Control can be
direct or indirect.
**Your licenses** are all the licenses granted to you for the
software under these terms.
**Use** means anything you do with the software requiring one
of your licenses.
---
Required Notice: Copyright 2026 kingchenc (https://github.com/kingchenc/wickra)
+201
View File
@@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
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outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
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APPENDIX: How to apply the Apache License to your work.
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Copyright 2026 kingchenc and the Wickra contributors
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MIT License
Copyright (c) 2026 kingchenc and the Wickra contributors
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+17
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# Maintainers
This file lists the current maintainers of Wickra. See
[`GOVERNANCE.md`](GOVERNANCE.md) for what the role entails and how the project
is run.
| Maintainer | GitHub | Areas |
| --- | --- | --- |
| kingchenc | [@kingchenc](https://github.com/kingchenc) | All (core, bindings, CI/release, docs) |
## Contacting the maintainers
- General questions and support: see [`SUPPORT.md`](SUPPORT.md).
- Bug reports and feature requests: open an issue using the
[issue templates](.github/ISSUE_TEMPLATE).
- Security reports: follow [`SECURITY.md`](SECURITY.md) — do **not** open a
public issue.
+247 -110
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@@ -1,16 +1,27 @@
# Wickra
<p align="center">
<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=514" alt="Wickra — streaming-first technical indicators" width="100%"></a>
</p>
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**Streaming-first technical indicators. Install with `pip install wickra` — no system dependencies.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js, and WebAssembly. Every indicator is a state
machine that updates in O(1) per new data point, so live trading bots and
native bindings for Python, Node.js and WebAssembly, plus a C ABI that C, C++,
C# / .NET, Go and any other C-capable language links against. Every indicator is a
state machine that updates in O(1) per new data point, so live trading bots and
historical backtests share the exact same implementation.
```python
@@ -30,95 +41,160 @@ for price in live_feed:
print("overbought")
```
## Documentation
Full documentation lives at **[docs.wickra.org](https://docs.wickra.org)**:
- **Quickstarts** — [Rust](https://docs.wickra.org/Quickstart-Rust),
[Python](https://docs.wickra.org/Quickstart-Python),
[Node](https://docs.wickra.org/Quickstart-Node),
[WASM](https://docs.wickra.org/Quickstart-WASM),
[C](https://docs.wickra.org/Quickstart-C),
[C#](https://docs.wickra.org/Quickstart-CSharp),
[Go](https://docs.wickra.org/Quickstart-Go).
- **Indicators** — a per-indicator deep dive (formula, parameters, warmup) for
every one of the 514 indicators; start at the
[indicators overview](https://docs.wickra.org/Indicators-Overview).
- **Reference** — [warmup periods](https://docs.wickra.org/Warmup-Periods),
[streaming vs batch](https://docs.wickra.org/Streaming-vs-Batch),
[indicator chaining](https://docs.wickra.org/Indicator-Chaining), the
[data layer](https://docs.wickra.org/Data-Layer).
- **Guides** — [Cookbook](https://docs.wickra.org/Cookbook),
[TA-Lib migration](https://docs.wickra.org/TA-Lib-Migration),
[FAQ](https://docs.wickra.org/FAQ).
## Why Wickra
Most TA libraries are fast, *or* multi-language, *or* broad. Wickra refuses to
pick. It's the streaming-first engine built for the workload the others treat as
an afterthought — **live, tick-by-tick data** — without giving up the breadth of
a full batch library, and without making you reimplement your indicators four
times to get there.
- **The biggest streaming-native catalogue, period.** 514 indicators across 24
families — candlesticks, harmonic & chart patterns, market profile, market
breadth, Renko/Kagi/Point&Figure bars, Ehlers DSP cycles, risk/performance
metrics — every single one updating in **O(1) per tick**. TA-Lib ships ~150 and
none of them stream.
- **One Rust core, five first-class targets.** Native **Python · Node.js ·
WebAssembly · Rust** plus a **C ABI** for C / C++, C# / .NET, Go and any other C-capable language —
identical math, identical results, zero per-language reimplementation and zero
GIL bottleneck.
- **Correct by construction, not by hope.** Every `update` validates its input,
runs a real warmup, and returns an `Option` so a single bad tick can't silently
poison state. `batch == streaming` is **bit-exact, fuzzed and 100 %-line-covered
for all 514 indicators**.
- **Orders of magnitude faster where it counts.** In streaming Wickra is **1156×**
faster than the only other incremental peer and **thousands of times** faster
than recompute-on-every-tick libraries. On batch it wins several rows outright
and trades the simple recurrences (SMA, EMA, MACD) for its guarantees — and
the losses are shown, not hidden.
- **Install in one line, anywhere.** `pip install wickra` / `npm install wickra`
precompiled wheels and binaries, **no C toolchain, none of TA-Lib's setup pain**.
macOS · Linux · Windows.
- **Batteries included.** Indicator chaining, a streaming OHLCV CSV reader, and a
live Binance kline feed ship in the box.
- **Truly permissive.** **MIT OR Apache-2.0** — drop it straight into commercial
and closed-source work.
Every other library forces one of those compromises. Wickra doesn't:
| Library | Install | Streaming | Languages | Indicators | Active |
|------------------|-------------|-------------|-----------------------------|-----------:|--------|
| **★&nbsp;Wickra**| **clean** | **yes, O(1)** | **Rust · Python · Node · WASM** | **514** | **yes** |
| | | | **C · C# · Go** | | |
| kand | clean | yes | Python · WASM · Rust | ~60 | yes |
| ta-rs | clean | yes | Rust only | ~30 | stale |
| yata | clean | partial | Rust only | ~35 | yes |
| TA-Lib | yes (C deps)| no | many bindings | ~150 | barely |
| pandas-ta | clean | no | Python | ~130 | slow |
| finta | clean | no | Python | ~80 | stale |
| talipp | clean | yes | Python | ~40 | yes |
Broad, multi-language, streaming-native **and** honest about its trade-offs — at
the same time. That's the combination no one else ships.
## Why Wickra exists
The Python TA ecosystem has plenty of libraries — TA-Lib, pandas-ta, finta,
talipp, tulipy — and every one of them shares the same blind spot:
Wickra started as a personal itch. The existing TA libraries never quite fit the
projects I was building, so I decided to build one from the ground up — partly to
learn, partly because I genuinely enjoy taking something that already exists and
trying to do it differently (and, ideally, better). It's open source because the
useful version of that itch is the one other people can build on too.
| Library | Install pain | Streaming | Multi-language | Active |
|--------------------|-----------------|-----------|----------------|--------|
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
| **Wickra** | **clean** | **yes** | **Python+Node+WASM+Rust** | **yes** |
## Benchmarks
Wickra is the only library that combines all of: clean install, streaming,
multi-language reach, and active maintenance.
Wickra updates every indicator in **O(1)** per tick. In **streaming** — the
workload it is built for — it is **1156× faster** than the only other incremental
peer and **thousands of times** faster than recompute-on-every-tick libraries.
**Batch** is competitive: it wins several rows outright and trades a few µs
elsewhere for `None`-warmup, NaN-safety and bit-exact `batch == streaming`.
## Benchmark: how much faster is "streaming-first"?
Full tables (Rust + Python, streaming + batch) and how to reproduce them live in
**[BENCHMARKS.md](BENCHMARKS.md)**.
Reproduced on this machine with `python -m benchmarks.compare_libraries`.
Lower µs/op = faster. Wickra wins every batch category outright, and the
streaming gap widens linearly with how much history a batch-only library has
to recompute on every tick.
## Indicators
### Batch — single full pass over a 5 000-bar series
Reading the table: each cell shows that library's runtime, plus how many times
slower it is than Wickra in parentheses. **★** marks the winner per row.
| Indicator | Wickra | finta | talipp |
|---------------------|---------------------|------------------------|------------------------------|
| SMA(20) | **26.0 µs ★** | 295.3 µs (11.4× slower) | 1 812.8 µs (69.7× slower) |
| EMA(20) | **16.8 µs ★** | 205.5 µs (12.2× slower) | 2 534.4 µs (150.9× slower) |
| RSI(14) | **31.2 µs ★** | 714.1 µs (22.9× slower) | 3 751.7 µs (120.2× slower) |
| MACD(12, 26, 9) | **30.8 µs ★** | 359.5 µs (11.7× slower) | 11 642.2 µs (378.0× slower) |
| Bollinger(20, 2.0) | **26.7 µs ★** | 690.6 µs (25.9× slower) | 27 482.4 µs (1 030.1× slower) |
| ATR(14) | **40.6 µs ★** | 1 120.3 µs (27.6× slower) | 3 760.2 µs (92.7× slower) |
### Streaming — per-tick latency after seeding with 2 000 historical bars
A batch-only library has to re-run its full indicator over the entire history on
every new tick; Wickra updates state in O(1).
| Indicator | Wickra (per tick) | talipp (per tick) |
|-----------|---------------------|---------------------------|
| RSI(14) | **0.07 µs ★** | 1.16 µs (17.5× slower) |
> TA-Lib and pandas-ta are not included here because both fail to install
> cleanly on Windows without C build tooling — which is precisely the install
> pain Wickra was built to remove. The benchmark script auto-detects every
> peer library it can find and runs them on the same inputs as Wickra; install
> them in your environment to see those rows light up too.
Run the suite yourself:
```bash
pip install -e bindings/python[bench]
python -m benchmarks.compare_libraries
```
## Indicators in 0.1.0
25 streaming-first indicators across four families. Every one passes the
514 streaming-first indicators across twenty-four families. Every one passes the
`batch == streaming` equivalence test, reference-value tests, and reset
semantics tests.
semantics tests. Each has a per-indicator deep dive (formula, parameters,
warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
| Family | Indicators |
|-------------|-----------|
| Trend | SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA |
| Momentum | RSI (Wilder), MACD, Stochastic, CCI, ROC, Williams %R, ADX (+DI/-DI), MFI, TRIX, Awesome Oscillator, Aroon |
| Volatility | Bollinger Bands, ATR, Keltner Channels, Donchian Channels, Parabolic SAR |
| Volume | OBV, VWAP (cumulative + rolling) |
| Family | Indicators |
|--------|-----------|
| Moving Averages | SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA, SMMA, TRIMA, ZLEMA, T3, VWMA, ALMA, McGinley Dynamic, FRAMA, VIDYA, JMA, Alligator, EVWMA, SWMA, GMA, EHMA, Median MA, Adaptive Laguerre, GD, Holt-Winters |
| Momentum Oscillators | RSI (Wilder), Anchored RSI, Stochastic, CCI, ROC, Williams %R, MFI, Awesome Oscillator, MOM, CMO, TSI, PMO, StochRSI, Ultimate Oscillator, RVI, PGO, KST, SMI, Laguerre RSI, Connors RSI, Inertia, ROC Percentage (ROCP), ROC Ratio (ROCR), ROC Ratio 100 (ROCR100), Disparity Index, Fisher RSI, RSX, Dynamic Momentum Index, Stochastic CCI, RMI, Derivative Oscillator, Elder Ray, Intraday Momentum Index, QQE |
| Trend & Directional | MACD, MACD Fixed (MACDFIX), MACD Extended (MACDEXT), ADX (+DI/-DI), ADXR, Aroon, TRIX, Aroon Oscillator, Vortex, Random Walk Index, Trend Intensity Index, Wave Trend Oscillator, Mass Index, Choppiness Index, Vertical Horizontal Filter, Plus DM, Minus DM, Plus DI, Minus DI, DX, TTM Trend, Trend Strength Index, Qstick, Polarized Fractal Efficiency, Wave PM, Gator Oscillator, Kase Permission Stochastic |
| Price Oscillators | PPO, DPO, Coppock, Accelerator Oscillator, Balance of Power, APO, AO Histogram, CFO, Zero-Lag MACD, Elder Impulse, STC, TSF Oscillator, MACD Histogram, PPO Histogram |
| Volatility & Bands | ATR, Bollinger Bands, Keltner Channels, Donchian Channels, NATR, StdDev, Ulcer Index, Historical Volatility, Bollinger Bandwidth, %B, True Range, Chaikin Volatility, RVI (Relative Volatility Index), Parkinson Volatility, Garman-Klass Volatility, Rogers-Satchell Volatility, Yang-Zhang Volatility, Volatility Cone |
| Bands & Channels | MA Envelope, Acceleration Bands, STARC Bands, ATR Bands, Hurst Channel, LinReg Channel, Standard Error Bands, Double Bollinger Bands, TTM Squeeze, Fractal Chaos Bands, VWAP StdDev Bands, Quartile Bands, Bomar Bands, Median Channel, Projection Bands, Projection Oscillator |
| Trailing Stops | Parabolic SAR, Parabolic SAR Extended (SAREXT), SuperTrend, Chandelier Exit, Chande Kroll Stop, ATR Trailing Stop, HiLo Activator, Volty Stop, Yo-Yo Exit, Donchian Channel Stop, Percentage Trailing Stop, Step Trailing Stop, Renko Trailing Stop, Kase DevStop, Elder SafeZone, ATR Ratchet, NRTR, Time-Based Stop, Modified MA Stop |
| Volume | OBV, VWAP (cumulative + rolling), ADL, Volume-Price Trend, Chaikin Money Flow, Chaikin Oscillator, Force Index, Ease of Movement, Klinger Volume Oscillator, Volume Oscillator, NVI, PVI, Williams A/D, Anchored VWAP, Demand Index, TSV, VZO, Market Facilitation Index, Volume RSI, Williams Accumulation/Distribution, Twiggs Money Flow, Trade Volume Index, Intraday Intensity Index, Better Volume, Volume-Weighted MACD |
| Price Statistics | Typical Price, Median Price, Weighted Close, Linear Regression, Linear Regression Slope, Z-Score, Linear Regression Angle, Variance, Coefficient of Variation, Skewness, Kurtosis, Standard Error, Detrended StdDev, R², Median Absolute Deviation, Autocorrelation, Hurst Exponent, Pearson Correlation, Beta, Pairwise Beta, Pair Spread Z-Score, Lead-Lag Cross-Correlation, Cointegration, Relative Strength A-vs-B, Spearman Correlation, Mid Price, Mid Point, Average Price, Linear Regression Intercept, Time Series Forecast, Rolling Correlation, Rolling Covariance, OU Half-Life, Spread Hurst, Distance SSD, Beta-Neutral Spread, Variance Ratio, Granger Causality, Kalman Hedge Ratio, Spread Bollinger Bands, Spread AR(1) Coefficient, Jarque-Bera, Rolling Min-Max Scaler, Shannon Entropy, Sample Entropy, Kendall Tau |
| Ehlers / Cycle (DSP) | MAMA, FAMA, Fisher Transform, Inverse Fisher Transform, SuperSmoother, Hilbert Dominant Cycle, Hilbert Phasor, Hilbert DC Phase, Hilbert Trend Mode, Sine Wave, Decycler, Decycler Oscillator, Roofing Filter, Center of Gravity, Cybernetic Cycle, Adaptive Cycle, Empirical Mode Decomposition, Ehlers Stochastic, Instantaneous Trendline, Highpass Filter, Reflex, Trendflex, Correlation Trend Indicator, Adaptive RSI, Universal Oscillator, Adaptive CCI, Bandpass Filter, Even Better Sinewave, Autocorrelation Periodogram |
| Pivots & S/R | Classic Pivots, Fibonacci Pivots, Camarilla, Woodie Pivots, DeMark Pivots, Williams Fractals, ZigZag, Central Pivot Range, Murrey Math Lines, Andrews Pitchfork, Volume-Weighted Support/Resistance, Pivot Reversal |
| DeMark | TD Setup, TD Sequential, TD DeMarker, TD REI, TD Pressure, TD Combo, TD Countdown, TD Lines, TD Range Projection, TD Differential, TD Open, TD Risk Level, TD Camouflage, TD Clop, TD Clopwin, TD Propulsion, TD Trap, TD D-Wave, TD Moving Averages |
| Ichimoku & Charts | Ichimoku Kinko Hyo (Tenkan, Kijun, Senkou A/B, Chikou), Heikin-Ashi, Heikin-Ashi Oscillator, Three Line Break, Smoothed Heikin-Ashi, Equivolume, CandleVolume |
| Alt-Chart Bars | Renko (box-size bricks), Kagi (reversal-amount lines), Point & Figure (X/O columns), Range, Tick, Volume, Dollar, Imbalance, Run, Three-Line Break |
| Candlestick Patterns | Doji, Hammer, Inverted Hammer, Hanging Man, Shooting Star, Engulfing, Harami, Morning/Evening Star, Three White Soldiers/Black Crows, Piercing Line/Dark Cloud Cover, Marubozu, Tweezer, Spinning Top, Three Inside Up/Down, Three Outside Up/Down, Two Crows, Upside Gap Two Crows, Identical Three Crows, Three Line Strike, Three Stars in the South, Abandoned Baby, Advance Block, Belt-hold, Breakaway, Counterattack, Doji Star, Dragonfly Doji, Gravestone Doji, Long-Legged Doji, Rickshaw Man, Evening Doji Star, Morning Doji Star, Gap Side-by-Side White, High-Wave, Hikkake, Modified Hikkake, Homing Pigeon, On-Neck, In-Neck, Thrusting, Separating Lines, Kicking, Kicking by Length, Ladder Bottom, Mat Hold, Matching Low, Long Line, Short Line, Rising Three Methods, Falling Three Methods, Upside Gap Three Methods, Downside Gap Three Methods, Stalled Pattern, Stick Sandwich, Takuri, Closing Marubozu, Opening Marubozu, Tasuki Gap, Unique Three River, Concealing Baby Swallow, Tristar, Harami Cross, Tower Top/Bottom, Dumpling Top, New Price Lines, Frying Pan Bottom |
| Chart Patterns | Double Top / Bottom, Triple Top / Bottom, Head and Shoulders, Triangle (asc/desc/sym), Wedge (rising/falling), Flag / Pennant, Rectangle / Range, Cup and Handle |
| Harmonic Patterns | AB=CD, Gartley, Butterfly, Bat, Crab, Shark, Cypher, Three Drives |
| Fibonacci | Fibonacci Retracement, Fibonacci Extension, Fibonacci Projection, Auto-Fibonacci, Golden Pocket, Fibonacci Confluence, Fibonacci Fan, Fibonacci Arcs, Fibonacci Channel, Fibonacci Time Zones |
| Microstructure | Order-Book Imbalance (Top-1 / Top-N / Full), Microprice, Quoted Spread, Depth Slope, Signed Volume, Cumulative Volume Delta, Trade Imbalance, Effective Spread, Realized Spread, Kyle's Lambda, Footprint, Order Flow Imbalance, VPIN, Amihud Illiquidity, Roll Measure, Trade-Sign Autocorrelation, Hasbrouck Information Share |
| Derivatives | Funding Rate, Funding Rate Mean, Funding Rate Z-Score, Funding Basis, Open-Interest Delta, OI / Price Divergence, OI-Weighted Price, Long/Short Ratio, Taker Buy/Sell Ratio, Liquidation Features, Term-Structure Basis, Calendar Spread, Estimated Leverage Ratio, OI-to-Volume Ratio, Perpetual Premium Index, Funding-Implied APR, Open-Interest Momentum |
| Market Profile | Value Area (POC / VAH / VAL), Volume Profile (histogram), TPO Profile, Initial Balance, Opening Range, Naked POC, Single Prints, Profile Shape, High/Low Volume Nodes, Composite Profile |
| Market Breadth | Advance/Decline Line, Advance/Decline Ratio, Advance/Decline Volume Line, McClellan Oscillator, McClellan Summation Index, TRIN / Arms Index, Breadth Thrust, New Highs - New Lows, High-Low Index, Percent Above Moving Average, Up/Down Volume Ratio, Bullish Percent Index, Cumulative Volume Index, Absolute Breadth Index, TICK Index |
| Risk / Performance | Sharpe Ratio, Sortino Ratio, Calmar Ratio, Omega Ratio, Max Drawdown, Average Drawdown, Drawdown Duration, Pain Index, Value at Risk, Conditional Value at Risk (CVaR), Profit Factor, Gain/Loss Ratio, Recovery Factor, Kelly Criterion, Treynor Ratio, Information Ratio, Alpha (Jensen) |
| Seasonality & Session | Session VWAP, Session High/Low, Session Range, Average Daily Range, Overnight Gap, Overnight/Intraday Return, Turn-of-Month, Seasonal Z-Score, Time-of-Day Return Profile, Day-of-Week Profile, Intraday Volatility Profile, Volume-by-Time Profile |
Adding a new indicator means implementing one trait in Rust; all four bindings
inherit it automatically.
Every candlestick pattern emits a signed per-bar value — `+1.0` bullish,
`1.0` bearish, `0.0` none — so the family drops straight into a feature matrix
as one column each. `Doji` is direction-less by default (`+1.0` / `0.0`);
construct it in signed mode (`Doji::new().signed()`, `Doji(signed=True)`,
`new Doji(true)`) for a dragonfly / gravestone `±1` reading.
Adding a new indicator means implementing one trait in Rust; every binding
inherits it automatically (the C ABI — and the C# and Go bindings generated from
it — regenerate from the core).
## Languages
| Binding | Install | Example |
|-------------------|-----------------------------------------------|---------|
| Python (PyO3) | `pip install wickra` | `examples/python/backtest.py` |
| Node.js (napi-rs) | `npm install wickra` | `bindings/node/__tests__/smoke.test.js` |
| Browser / WASM | `npm install wickra-wasm` | `bindings/wasm/examples/index.html` |
| Rust | `cargo add wickra` | `crates/wickra/examples/backtest.rs` |
| Node.js (napi-rs) | `npm install wickra` | `examples/node/backtest.js` |
| Browser / WASM | `npm install wickra-wasm` | `examples/wasm/index.html` |
| Rust | `cargo add wickra` | `examples/rust/src/bin/backtest.rs` |
| C / C++ (C ABI) | header + library, see [`bindings/c`](bindings/c) | `examples/c/streaming.c` |
| C# / .NET (C ABI) | `dotnet add package Wickra`, see [`bindings/csharp`](bindings/csharp) | `examples/csharp/streaming` |
| Go (cgo, C ABI) | `go get github.com/wickra-lib/wickra/bindings/go`, see [`bindings/go`](bindings/go) | `examples/go/streaming` |
The wickra-core crate is `unsafe`-forbidden, so every binding inherits a
memory-safe implementation.
Each binding ships several runnable examples (streaming, backtest, live feed);
[`examples/README.md`](examples/README.md) is the full cross-language index.
The wickra-core crate is `unsafe`-forbidden, so the native bindings are
memory-safe end to end. The C ABI runs the same safe core; only its thin FFI
boundary uses `unsafe`, and the caller owns handle lifetimes (`_new` / `_free`).
## Rust API
@@ -173,27 +249,42 @@ A Python live-trading example using the public `websockets` package lives at
```
wickra/
├── crates/
│ ├── wickra-core/ core engine + all 25 indicators
│ ├── wickra/ top-level facade crate (publishes on crates.io)
── wickra-data/ CSV reader, tick aggregator, live exchange feeds
│ ├── wickra-core/ core engine + all 514 indicators
│ ├── wickra/ top-level facade crate (publishes on crates.io) + benches/
── wickra-data/ CSV reader, tick aggregator, live exchange feeds
│ └── wickra-bench/ internal cross-library benchmark harness (not published)
├── bindings/
│ ├── python/ PyO3 + maturin (publishes on PyPI)
│ ├── node/ napi-rs (publishes on npm)
── wasm/ wasm-bindgen (browsers, bundlers, Node)
├── examples/
── python/ backtest, live trading, parallel assets, multi-tf
(Rust examples live inside their crate at crates/<name>/examples/)
├── benches/ cargo bench targets
── wasm/ wasm-bindgen (browsers, bundlers, Node)
│ ├── c/ C ABI (cdylib + staticlib) + generated include/wickra.h
── csharp/ .NET binding over the C ABI (publishes on NuGet)
└── go/ Go binding over the C ABI via cgo (module tag)
├── examples/ examples/README.md indexes every language
│ ├── data/ real BTCUSDT OHLCV datasets, one per timeframe
│ ├── rust/ Rust workspace member (`wickra-examples`)
│ ├── python/ backtest, live trading, parallel assets, multi-tf
│ ├── node/ streaming, backtest, live trading (load `wickra`)
│ ├── wasm/ browser demo for `wickra-wasm`
│ ├── c/ C smoke + streaming, C++ RAII wrapper
│ ├── csharp/ streaming, backtest, strategies (load `Wickra`)
│ └── go/ streaming, backtest, strategies (cgo binding)
└── .github/workflows/ CI and release pipelines
```
Wickra's own regression benchmarks live in `crates/wickra/benches/`; the
cross-library comparison against kand, ta-rs and yata lives in the internal
`crates/wickra-bench/` crate. Runnable Rust examples live in the workspace member
crate at `examples/rust/`. There is no top-level `benches/` directory.
## Building everything from source
```bash
# Rust core + tests
cargo test --workspace
cargo clippy --workspace --all-targets -- -D warnings
cargo bench -p wickra
cargo bench -p wickra # Wickra's own regression benchmarks
cargo bench -p wickra-bench # cross-library comparison (kand, ta-rs, yata)
# Python binding (requires Rust toolchain + maturin)
cd bindings/python
@@ -205,22 +296,44 @@ wasm-pack build bindings/wasm --target web --release --features panic-hook
# Node binding (requires @napi-rs/cli)
cd bindings/node && npm install && npm run build && npm test
# C ABI (cdylib + staticlib + generated header)
cargo build -p wickra-c --release
cmake -S examples/c -B examples/c/build -DWICKRA_LIB_DIR="$PWD/target/release"
cmake --build examples/c/build && ctest --test-dir examples/c/build --output-on-failure
# C# / .NET binding (requires the .NET 8 SDK; links the C ABI above)
dotnet test bindings/csharp/Wickra.Tests/Wickra.Tests.csproj
# Go binding (requires a C compiler for cgo; links the C ABI above)
cp target/release/libwickra.so bindings/go/lib/ # .dylib on macOS, wickra.dll on Windows
cd bindings/go && go test ./...
```
## Test counts
## Testing
- `wickra-core`: 171 unit tests + 2 doctests, including textbook-value tests
for Wilder RSI, Bollinger Bands, MACD, ATR, and Stochastic.
- `wickra-data`: 11 unit tests + 1 doctest, covers CSV decoding, the tick
aggregator, the resampler, and the Binance payload parser.
- `bindings/python`: 56 pytest tests covering smoke checks, streaming==batch
equivalence, reference values, lifecycle, and dict/tuple candle inputs.
- `bindings/node`: 7 Node test-runner cases via `node --test`.
Every layer is covered; run the suites with the commands in
[Building everything from source](#building-everything-from-source).
- `wickra-core`: unit tests per indicator — textbook reference values
(Wilder RSI, Bollinger Bands, MACD, ATR, Stochastic), `batch == streaming`
equivalence, `reset` semantics, NaN/Inf handling, and property tests.
- `wickra-data`: unit tests for CSV decoding, the tick aggregator, the
resampler, and the Binance payload parser.
- `bindings/python`: pytest covering smoke checks, streaming/batch
equivalence, reference values, lifecycle, input validation, and
dict/tuple candle inputs.
- `bindings/node`: `node --test` cases for batch, streaming, and reference
values across all indicators.
- `bindings/wasm`: `wasm-bindgen-test` cases for constructors, equivalence,
and reference values.
- `bindings/go`: `go test` cases covering one indicator per FFI archetype
(scalar/batch, multi-output, bars, profile, array input), reset, and lifecycle.
## Contributing
Contributions are very welcome — issues, bug reports, ideas, and pull requests
all land in the same place: <https://github.com/kingchenc/wickra>.
all land in the same place: <https://github.com/wickra-lib/wickra>.
A short orientation for first-time contributors:
@@ -243,28 +356,52 @@ shape together before you invest the time.
## License
Licensed under the **PolyForm Noncommercial License 1.0.0**. See [LICENSE](LICENSE).
Licensed under either of
In plain English: use it, fork it, modify it, redistribute it, file issues, send
pull requests — all welcome. Personal projects, research, education, non-profits,
government, hobby trading bots: all fine. The one thing that's not allowed is
commercial sale of the software or of services built around it. If you want to
use Wickra commercially, get in touch about a license.
- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or
<http://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or <http://opensource.org/licenses/MIT>)
at your option. Use it, fork it, modify it, redistribute it — commercially or
not — file issues, send pull requests; all welcome.
### Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in the work by you, as defined in the Apache-2.0 license, shall be
dual licensed as above, without any additional terms or conditions.
## Disclaimer
Wickra is an indicator toolkit, not a trading system. Values it computes are
deterministic transforms of the input data — they are not financial advice and
they do not predict the market. Any use of this library in a production
trading context is at your own risk.
The library is provided **as is**, without warranty of any kind; see
[LICENSE](LICENSE) for the full terms.
---
<p align="center">
<a href="https://github.com/kingchenc/wickra/stargazers">
<img alt="GitHub stars" src="https://img.shields.io/github/stars/kingchenc/wickra?style=for-the-badge&logo=github&logoColor=white&color=ffd866">
<a href="https://github.com/wickra-lib/wickra/stargazers">
<img alt="GitHub stars" src="https://img.shields.io/github/stars/wickra-lib/wickra?style=for-the-badge&logo=github&logoColor=white&color=ffd866">
</a>
<a href="https://github.com/kingchenc/wickra/network/members">
<img alt="GitHub forks" src="https://img.shields.io/github/forks/kingchenc/wickra?style=for-the-badge&logo=github&logoColor=white&color=78dce8">
<a href="https://github.com/wickra-lib/wickra/network/members">
<img alt="GitHub forks" src="https://img.shields.io/github/forks/wickra-lib/wickra?style=for-the-badge&logo=github&logoColor=white&color=78dce8">
</a>
<a href="https://github.com/kingchenc/wickra/issues">
<img alt="GitHub issues" src="https://img.shields.io/github/issues/kingchenc/wickra?style=for-the-badge&logo=github&logoColor=white&color=ff6188">
<a href="https://github.com/wickra-lib/wickra/issues">
<img alt="GitHub issues" src="https://img.shields.io/github/issues/wickra-lib/wickra?style=for-the-badge&logo=github&logoColor=white&color=ff6188">
</a>
</p>
<p align="center">
If Wickra saved you time, the cheapest way to say thanks is to ⭐ the repo.
</p>
<p align="center">
<a href="https://star-history.com/#wickra-lib/wickra&Date">
<img alt="Wickra star history" width="640"
src="https://api.star-history.com/svg?repos=wickra-lib/wickra&type=Date&theme=dark">
</a>
</p>
+37
View File
@@ -0,0 +1,37 @@
# Roadmap
This roadmap describes the project's direction at a high level. It is
intentionally non-binding: priorities shift with feedback and available time,
and the authoritative, up-to-date view of planned work is the
[issue tracker](https://github.com/wickra-lib/wickra/issues). Shipped changes
are recorded in [`CHANGELOG.md`](CHANGELOG.md).
## Status
Wickra is **pre-1.0**. The public API is largely stable but may still change in
minor releases; breaking changes are called out in the changelog.
## Themes
- **Indicator coverage.** Continue broadening the indicator catalogue across
families (trend, momentum, volatility, volume, statistics, market profile,
and more), each with the same streaming/batch parity and test guarantees.
- **API stabilization toward 1.0.** Settle the public `Indicator` and
`BarBuilder` traits and the binding surfaces, then commit to semantic
versioning stability for a 1.0 release.
- **Performance.** Keep per-tick updates O(1) and maintain the benchmark suite;
investigate further allocation and cache improvements.
- **Bindings parity.** Keep the Python, Node.js and WebAssembly bindings — plus
the C ABI and the C# / .NET and Go bindings generated from it — in lockstep with the
Rust core, including type stubs and platform coverage.
- **Documentation.** Maintain a deep-dive page per indicator on
<https://docs.wickra.org>, plus quickstarts and cookbook material.
- **Project health.** Maintain test coverage, static and dynamic analysis,
signed releases, and supply-chain monitoring.
## How to influence the roadmap
Open or comment on an issue, or start with the
[feature-request template](.github/ISSUE_TEMPLATE/feature_request.md).
Well-scoped proposals and pull requests are the most effective way to move an
item forward.
+143
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@@ -0,0 +1,143 @@
# Security Policy
## Supported versions
Wickra is pre-1.0. Security fixes are applied to the latest released `0.5.x`
version only; please upgrade to the newest release before reporting an issue.
| Version | Supported |
| --- | --- |
| 0.5.x (latest) | :white_check_mark: |
| older 0.5.x | :x: |
## Reporting a vulnerability
**Do not open a public issue for a security vulnerability.**
Report it privately through one of:
- GitHub's [private vulnerability reporting](https://github.com/wickra-lib/wickra/security/advisories/new)
("Report a vulnerability" under the repository's *Security* tab), or
- email to **support@wickra.org** with a subject line starting with
`[wickra security]`.
Please include:
- the affected version(s) and platform / language binding,
- a description of the issue and its impact,
- steps to reproduce, ideally a minimal proof of concept.
## What to expect
- An acknowledgement within **5 working days**.
- An assessment and, if confirmed, a planned fix with a target release.
- Coordinated disclosure: we will agree on a disclosure date with you and
credit you in the release notes unless you prefer to stay anonymous.
## Scope
In scope: the published crates (`wickra-core`, `wickra-data`, `wickra`), the
PyPI/npm packages, and the build/release workflows in `.github/workflows/`.
Out of scope: vulnerabilities in third-party dependencies (report those
upstream; we track them via Dependabot and `cargo-deny`).
## Security assurance case
This is a short, evidence-backed argument for why Wickra can be used safely.
**Security requirements.** Wickra is a computational library: it ingests
numeric market data and produces indicator values. It stores no user
credentials, authenticates no external users, and implements no cryptography of
its own. The requirements are therefore: (1) memory safety and freedom from
undefined behaviour, (2) robust handling of untrusted/degenerate numeric input
without panics or unbounded resource use, (3) integrity of the published
artifacts, and (4) a healthy dependency supply chain.
**How the requirements are met.**
- *Memory safety* — the core and all bindings are written in Rust. The crates
forbid or minimise `unsafe`, so the compiler guarantees memory and thread
safety for the indicator logic. The one exception is the C ABI
([`bindings/c`](bindings/c)), whose thin FFI shim is necessarily `unsafe`
because it dereferences caller-supplied pointers; it adds no indicator logic,
validates every handle for NULL, and never lets a panic cross the boundary, so
the safe core's guarantees still cover all computation.
- *Input robustness* — every indicator validates its parameters and rejects
non-finite inputs at construction; behaviour on edge cases (flat markets,
warmup, reset) is pinned by unit tests, and the public update paths are
exercised by coverage-guided fuzzing (`cargo-fuzz` / libFuzzer) in CI.
- *Static and dynamic analysis* — every push and pull request runs Clippy
(`clippy::pedantic`, warnings-as-errors), CodeQL, fuzzing, and the full test
suite, with 100% line coverage on the core crate tracked by Codecov.
- *Artifact integrity* — releases are built in CI, commits and tags are signed,
the `main` branch requires signed commits, and release artifacts carry build
provenance attestations.
- *Supply chain* — dependencies are pinned and monitored with Dependabot and
audited with `cargo-deny` (license + advisory checks) on every change.
**Residual risk.** The optional `live-binance` feature opens a TLS WebSocket to
an exchange using the platform TLS library; transport security therefore
depends on that library, not on Wickra. Wickra is not a trading system and is
provided "as is" — see the disclaimers in `README.md` and the licenses.
## Secrets management
The project stores **no** secrets or credentials in the version control system.
Secrets required by automation (publishing tokens, the about-sync PAT) are kept
exclusively as **GitHub Actions encrypted secrets** and referenced via the
`secrets.*` context; they are never written to the repository, logs, or build
artifacts. GitHub **secret scanning with push protection** is enabled to block
accidental commits of credentials. Secrets follow least privilege (the narrowest
scope that works) and are rotated when a holder changes or on suspected
exposure.
## Verifying releases
Released artifacts can be verified for integrity and authenticity:
- **Build provenance.** Release assets carry GitHub build provenance
attestations. Verify a downloaded asset with the GitHub CLI:
`gh attestation verify <file> --repo wickra-lib/wickra`.
- **Signed tags.** Each release corresponds to a signed git tag (`vX.Y.Z`);
the tag signature identifies the maintainer who authorised the release.
- **Registry integrity.** Packages are distributed over HTTPS from crates.io,
PyPI and npm, which serve package checksums that package managers verify on
install.
The release is published only by the maintainer through the tag-triggered
release workflow, so a verified tag signature establishes the expected
publisher identity.
## Support timeline and end of support
Wickra is **pre-1.0**: only the **latest released `0.y.z`** version receives
security fixes. When a newer release is published, the previous version
**immediately reaches end of support** and will not receive further fixes;
users should upgrade to the latest release. The supported-versions table above
is authoritative. After the `1.0.0` release this policy will be revised to
support a defined window of releases.
## Remediation policy (dependencies and code scanning)
- **Severity threshold.** Vulnerabilities of **medium severity or higher** in
the project's own code or its dependencies are remediated promptly and before
the next release; lower-severity findings are addressed on a best-effort
basis.
- **Automated enforcement (SCA).** Every change is evaluated by `cargo-deny`
(RUSTSEC advisories + license policy) and Dependabot; a known-vulnerable
dependency fails CI and **blocks the change** until resolved or explicitly
waived with justification.
- **Automated enforcement (SAST).** Every change is evaluated by CodeQL and
Clippy (`-D warnings`); findings **block the change** in CI until fixed.
- **Pre-release gate.** A release is not cut while an unresolved medium-or-higher
SCA/SAST finding is outstanding.
## Vulnerability exploitability (VEX)
Advisories reported by `cargo-deny`/Dependabot for third-party dependencies that
do **not** affect Wickra (e.g. the vulnerable code path is not reachable, or the
affected feature is not enabled) are triaged and recorded — with the
not-affected justification — in the `cargo-deny` configuration (`deny.toml`) and
the relevant pull request, rather than forcing an unnecessary dependency bump.
This serves as the project's exploitability (VEX) record.
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# Support
Thanks for using Wickra! Here is where to get help, depending on what you need.
## Documentation first
Most questions are answered in the documentation:
- **Docs site:** <https://docs.wickra.org> — quickstarts for Rust, Python,
Node.js, WebAssembly, C, C# and Go, a per-indicator reference, warmup periods, the
data layer, and an FAQ.
- **README:** <https://github.com/wickra-lib/wickra#readme> — installation and a
quick overview.
- **API docs (Rust):** <https://docs.rs/wickra>.
## Questions and help
- Ask a question with the
[question issue template](.github/ISSUE_TEMPLATE/question.md).
- Browse [existing issues](https://github.com/wickra-lib/wickra/issues) — your
question may already be answered.
## Bugs and feature requests
- **Bugs:** use the bug-report issue template.
- **Feature requests / new indicators:** use the feature-request template.
## Security issues
Please do **not** report security vulnerabilities through public issues. Follow
the process in [`SECURITY.md`](SECURITY.md) (private GitHub advisory or email).
## Support expectations
Wickra is maintained by a single maintainer on a best-effort basis. Issues are
triaged and acknowledged as time allows; there is no commercial support or SLA.
Clear, reproducible reports get help fastest.
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# Threat model
This document describes Wickra's attack surface and the threats considered,
together with their mitigations. It complements the security assurance case in
[`SECURITY.md`](SECURITY.md). Wickra is a computational technical-analysis
library (a Rust core with Python, Node.js and WebAssembly bindings plus a C ABI
and the .NET and Go bindings built on it),
not a network service or trading system; the attack surface is correspondingly
small.
## Assets
- **Integrity of computed indicator values** — consumers may use them in
automated decisions, so silently wrong output is the primary concern.
- **Availability of the calling process** — a library must not crash or hang
its host on malformed input.
- **Integrity of published artifacts** — the crates, wheels and npm packages
users install.
- **The build and release pipeline** and its secrets (publishing tokens).
## Actors / trust boundaries
- **Library consumer** (trusted) — calls the API with numeric data. Data may
originate from untrusted sources (e.g. a market feed), so *input values* are
treated as untrusted even though the caller is trusted.
- **Optional live feed** — with the `live-binance` feature, data crosses a
network boundary from an exchange over TLS.
- **Contributors** (semi-trusted) — propose changes via pull requests.
- **Supply chain** — upstream dependencies and the CI/CD platform.
## Threats and mitigations
| Threat | Mitigation |
| --- | --- |
| Memory-safety exploit (buffer overflow, UAF) via crafted input | Pure safe Rust; `unsafe` is forbidden/minimised, so the compiler precludes these classes. |
| Misuse of the C ABI FFI boundary (invalid/dangling handle, undersized batch buffer) | The C ABI (`bindings/c`) is the sole `unsafe` surface. Its shim adds no logic, NULL-checks every handle (returning `NaN`/no-op), writes only into caller-sized buffers, and catches panics so none cross the boundary. A caller passing a non-NULL but dangling pointer is undefined behaviour by C's own contract — out of scope, the same as any C library. |
| Denial of service via malformed/degenerate input (NaN, infinities, extreme magnitudes) | Indicators reject non-finite inputs and validate parameters at construction; update paths are exercised by coverage-guided fuzzing and unit tests for edge cases. |
| Silently incorrect results | 100% line coverage on the core crate; reference-value tests against known-good sources; streaming/batch parity tests. |
| Integer overflow / panics | `clippy::pedantic` with `-D warnings`; debug assertions and overflow checks enabled in test/fuzz builds. |
| Adversary-in-the-middle on the optional live feed | Connection uses TLS via the platform library; transport security is delegated to that reviewed implementation. |
| Compromised dependency (supply chain) | Dependencies pinned (`Cargo.lock`, hash-locked CI requirements), monitored by Dependabot, audited by `cargo-deny` (advisories + licenses) on every change. |
| Malicious or accidental change to `main` | Branch protection requires signed commits and blocks force-push and deletion; all changes flow through pull requests with required CI; static analysis (CodeQL, Clippy) and fuzzing run on every change. |
| Compromised CI / leaked secrets | Workflows use least-privilege `permissions:`; secrets live only as encrypted GitHub Actions secrets; secret scanning with push protection is enabled; workflows are linted by `zizmor`. |
| Tampered release artifact | Releases are built in CI, tags are signed, and assets carry build provenance attestations (verifiable with `gh attestation verify`). |
## Out of scope
- Wickra implements no authentication, authorization or cryptography of its own,
stores no user data, and exposes no network listener; those threat classes do
not apply.
- Vulnerabilities in third-party dependencies that do not affect Wickra are
tracked as exploitability (VEX) records (see [`SECURITY.md`](SECURITY.md)).
## Maintenance
This threat model is reviewed when the architecture changes materially (for
example, a new input family, a new network feature, or a new release channel).
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[package]
name = "wickra-c"
description = "C ABI (cdylib + staticlib) for the Wickra streaming-first technical indicators library — the hub every C-capable language (C, C++, Go, C#, Java, R) links against."
version.workspace = true
authors.workspace = true
edition.workspace = true
rust-version.workspace = true
license.workspace = true
repository.workspace = true
homepage.workspace = true
readme = "README.md"
keywords.workspace = true
categories.workspace = true
publish = false
[lib]
name = "wickra"
crate-type = ["cdylib", "staticlib"]
# The C ABI inherently needs `unsafe` (raw pointers across the FFI boundary,
# `#[export_name]` symbol control). The workspace forbids `unsafe_code`, so this
# crate cannot inherit `workspace = true`; it mirrors every workspace lint and
# only relaxes `unsafe_code` to `allow` (parity with how the proc-macro bindings
# emit their unsafe). The Rust core stays `unsafe`-forbidden — this is the one
# crate where the boundary lives.
[lints.rust]
unsafe_code = "allow"
missing_debug_implementations = "warn"
unreachable_pub = "warn"
unused_must_use = "deny"
[lints.clippy]
all = { level = "warn", priority = -1 }
pedantic = { level = "warn", priority = -1 }
module_name_repetitions = "allow"
must_use_candidate = "allow"
missing_errors_doc = "allow"
missing_panics_doc = "allow"
cast_precision_loss = "allow"
cast_possible_truncation = "allow"
cast_sign_loss = "allow"
similar_names = "allow"
float_cmp = "allow"
[dependencies]
wickra-core = { workspace = true }
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# Wickra — C / C++
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![GitHub release](https://img.shields.io/github/v/release/wickra-lib/wickra?logo=github&color=green)](https://github.com/wickra-lib/wickra/releases/latest)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for C and C++. A prebuilt shared/static
library plus a generated `wickra.h` — no system dependencies.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading bots and historical backtests share
the exact same implementation. This package is the **C ABI hub**: it compiles the
core to a C-compatible shared/static library plus a generated header, so any
C-capable language (C, C++, Go, C#, Java, R) links against one artifact instead
of re-wrapping every indicator natively.
## Install
Grab the prebuilt header + library for your platform from the
[GitHub releases](https://github.com/wickra-lib/wickra/releases) — each archive
has `wickra.h`, the optional `wickra.hpp` C++ wrapper, and the shared/static
library — or build from source:
```bash
cargo build -p wickra-c --release
# -> target/release/libwickra.{so,dylib} or wickra.dll (+ import lib) + a staticlib
```
Then compile against the header and link the library
(`cc app.c -I include -L lib -lwickra -lm -o app`).
## Quick start
```c
#include "wickra.h"
struct Rsi *rsi = wickra_rsi_new(14); /* NULL on invalid params */
for (size_t i = 0; i < n; ++i) {
double v = wickra_rsi_update(rsi, prices[i]); /* NaN during warmup */
if (v == v && v > 70.0) /* v == v is the NaN check */
printf("overbought\n");
}
wickra_rsi_free(rsi); /* exactly once per _new */
```
Every indicator is an opaque handle with the same five functions —
`_new` / `_update` / `_batch` / `_reset` / `_free`. `update` is O(1); there is no
RAII across the C boundary, so each `_new` needs exactly one `_free`, and every
function is NULL-safe (a NULL handle yields `NaN` or a no-op, never a crash).
Multi-output indicators (MACD, Bollinger, ADX, …) take a pointer to a `#[repr(C)]`
struct and return a `bool`. The optional `wickra.hpp` wraps any handle in a
move-only `wickra::Handle` for exception-safe C++ lifetimes.
## Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in
the main repository and documentation site:
- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (C quickstart, cookbook, TA-Lib migration): <https://docs.wickra.org/Quickstart-C>
- **Runnable examples:** [`examples/c/`](https://github.com/wickra-lib/wickra/tree/main/examples/c)
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus this
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared Rust core.
## Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes
are deterministic transforms of the input data — they are not financial advice
and do not predict the market. Any use in a live trading context is at your own
risk. The library is provided **as is**, without warranty of any kind.
## License
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
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language = "C"
header = "/* Wickra C ABI — generated by cbindgen. Do not edit by hand. */"
include_guard = "WICKRA_H"
pragma_once = true
# Wrap the declarations in `extern "C"` under __cplusplus so the header is usable
# from C++ (the optional wickra.hpp RAII layer and any C++ consumer).
cpp_compat = true
tab_width = 4
# Off: cbindgen copies the Rust struct/fn doc comments verbatim, and some core
# indicator docs contain markdown (e.g. `**1/8**/**7/8**`) whose `*/` would close
# the C block comment early and break the header. Usage docs live in the crate
# README and examples; the header is a pure declaration contract.
documentation = false
[parse]
# Parse wickra-core too so the opaque indicator handle types (Sma, Ema, …) are
# discovered and emitted as forward-declared opaque structs. Their fields are
# never exposed — only `T *` handles cross the boundary.
parse_deps = true
include = ["wickra-core"]
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// Optional C++ convenience layer over the Wickra C ABI (`wickra.h`).
//
// The C ABI hands out raw handles that must be released exactly once with the
// matching `wickra_<ind>_free`. `wickra::Handle` wraps that in a move-only RAII
// owner so the free happens automatically at scope exit:
//
// #include "wickra.hpp"
//
// wickra::Handle<Sma, wickra_sma_free> sma(wickra_sma_new(14));
// if (sma) {
// double v = wickra_sma_update(sma.get(), 42.0); // NaN during warmup
// }
// // sma is freed here
//
// This is header-only and adds no runtime cost beyond the C calls themselves.
#ifndef WICKRA_HPP
#define WICKRA_HPP
#include "wickra.h"
#include <utility>
namespace wickra {
/// Move-only RAII owner of a Wickra handle. `T` is the opaque indicator type and
/// `Free` its `wickra_<ind>_free` function.
template <typename T, void (*Free)(T *)>
class Handle {
public:
explicit Handle(T *ptr) noexcept : ptr_(ptr) {}
~Handle() {
if (ptr_ != nullptr) {
Free(ptr_);
}
}
Handle(const Handle &) = delete;
Handle &operator=(const Handle &) = delete;
Handle(Handle &&other) noexcept : ptr_(std::exchange(other.ptr_, nullptr)) {}
Handle &operator=(Handle &&other) noexcept {
if (this != &other) {
if (ptr_ != nullptr) {
Free(ptr_);
}
ptr_ = std::exchange(other.ptr_, nullptr);
}
return *this;
}
/// The raw handle, for passing to the `wickra_<ind>_*` functions.
T *get() const noexcept { return ptr_; }
/// True if the handle is non-null (construction succeeded).
explicit operator bool() const noexcept { return ptr_ != nullptr; }
private:
T *ptr_;
};
} // namespace wickra
#endif // WICKRA_HPP
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# .NET build output
bin/
obj/
*.user
# NuGet packaging output
*.nupkg
*.snupkg
# Native libraries staged for packaging (produced by the release pipeline from
# the wickra-c-<triple>.tar.gz assets; never committed to source).
Wickra/runtimes/
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# Wickra — .NET
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![NuGet](https://img.shields.io/nuget/v/Wickra.svg?logo=nuget&color=blue)](https://www.nuget.org/packages/Wickra)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for .NET. `dotnet add package Wickra`
prebuilt native library, no system dependencies.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading bots and historical backtests share
the exact same implementation. This package is the .NET binding; it consumes the
C ABI hub through `[LibraryImport]` P/Invoke and exposes all 514 streaming-first
indicators as idiomatic `IDisposable` classes.
## Install
```bash
dotnet add package Wickra
```
The native library ships prebuilt per platform (Linux, macOS, Windows — x64 and
arm64) under `runtimes/<rid>/native/`, selected automatically. There is nothing
to compile. Targets .NET 8 and later.
## Quick start
```csharp
using Wickra;
// Batch: run an indicator over a whole series (NaN at warmup positions).
var prices = Enumerable.Range(0, 1000).Select(i => 100.0 + i * 0.1).ToArray();
using var sma = new Sma(20);
double[] values = sma.Batch(prices);
// Streaming: the same indicator, fed tick by tick in O(1).
using var rsi = new Rsi(14);
foreach (var price in liveFeed)
{
var value = rsi.Update(price); // NaN during warmup, no recomputation
if (double.IsFinite(value) && value > 70)
{
Console.WriteLine("overbought");
}
}
```
`Batch(prices)` and feeding the same prices through `Update()` produce identical
values — the equivalence is enforced by the test suite. Multi-output indicators
(MACD, Bollinger, ADX, …) return a nullable `record struct`, `null` while warming up.
## Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in
the main repository and documentation site:
- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
- **Runnable examples:** [`examples/csharp/`](https://github.com/wickra-lib/wickra/tree/main/examples/csharp)
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
## Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes
are deterministic transforms of the input data — they are not financial advice
and do not predict the market. Any use in a live trading context is at your own
risk. The library is provided **as is**, without warranty of any kind.
## License
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
@@ -0,0 +1,144 @@
using Wickra;
using Xunit;
namespace Wickra.Tests;
/// <summary>
/// One representative per FFI archetype, exercising every marshalling path the
/// generator produces (scalar, candle, pairwise, multi-output, bars, profile,
/// values-profile, array-input). Garbage marshalling surfaces as NaN, wild
/// values, or crashes — so finite/sane assertions are the real check.
/// </summary>
public class ArchetypeTests
{
private static (double open, double high, double low, double close, double volume, long ts) Candle(int i)
{
var close = 100.0 + 10.0 * Math.Sin(i * 0.3);
var open = 100.0 + 10.0 * Math.Sin((i - 1) * 0.3);
var high = Math.Max(open, close) + 1.0;
var low = Math.Min(open, close) - 1.0;
return (open, high, low, close, 1_000.0, i * 60_000L);
}
[Fact]
public void Scalar_Ema_IsFiniteAfterWarmup()
{
using var ema = new Ema(3);
double last = double.NaN;
for (var i = 1; i <= 10; i++)
{
last = ema.Update(i);
}
Assert.True(double.IsFinite(last));
Assert.InRange(last, 1.0, 10.0);
}
[Fact]
public void Candle_Atr_IsFinitePositive()
{
using var atr = new Atr(3);
double last = double.NaN;
for (var i = 0; i < 20; i++)
{
var (o, h, l, c, v, ts) = Candle(i);
last = atr.Update(o, h, l, c, v, ts);
}
Assert.True(double.IsFinite(last));
Assert.True(last > 0.0);
}
[Fact]
public void Pairwise_Beta_IsFinite()
{
using var beta = new Beta(5);
double last = double.NaN;
for (var i = 0; i < 30; i++)
{
var market = 100.0 + 10.0 * Math.Sin(i * 0.5);
var asset = 50.0 + 6.0 * Math.Sin(i * 0.5 + 0.2);
last = beta.Update(market, asset);
}
Assert.True(double.IsFinite(last));
}
[Fact]
public void MultiOutput_Adx_ReturnsFiniteStruct()
{
using var adx = new Adx(5);
AdxOutput? result = null;
for (var i = 0; i < 60; i++)
{
var (o, h, l, c, v, ts) = Candle(i);
result = adx.Update(o, h, l, c, v, ts);
}
Assert.NotNull(result);
Assert.True(double.IsFinite(result!.Value.Adx));
Assert.True(double.IsFinite(result.Value.PlusDi));
Assert.True(double.IsFinite(result.Value.MinusDi));
}
[Fact]
public void Bars_DollarBars_EmitsBars()
{
using var bars = new DollarBars(5_000.0);
var total = 0;
for (var i = 0; i < 200; i++)
{
var (o, h, l, c, v, ts) = Candle(i);
total += bars.Update(o, h, l, c, v, ts).Length;
}
Assert.True(total > 0);
}
[Fact]
public void Profile_VolumeProfile_ReturnsValues()
{
using var profile = new VolumeProfile(20, 8);
VolumeProfileOutputScalars? result = null;
for (var i = 0; i < 60; i++)
{
var (o, h, l, c, v, ts) = Candle(i);
result = profile.Update(o, h, l, c, v, ts);
}
Assert.NotNull(result);
Assert.NotNull(result!.Value.Values);
Assert.True(result.Value.PriceLow <= result.Value.PriceHigh);
}
[Fact]
public void ProfileValues_DayOfWeekProfile_NoCrash()
{
using var profile = new DayOfWeekProfile(0);
double[]? result = null;
for (var i = 0; i < 60; i++)
{
var close = 100.0 + 5.0 * Math.Sin(i * 0.2);
// one day apart so the day-of-week buckets fill
result = profile.Update(close, close + 1, close - 1, close, 1_000.0, i * 86_400_000L);
}
if (result is not null)
{
Assert.All(result, v => Assert.True(double.IsFinite(v)));
}
}
[Fact]
public void ArrayInput_DepthSlope_IsFinite()
{
using var slope = new DepthSlope();
ReadOnlySpan<double> bidPrice = stackalloc double[] { 99.0, 98.0, 97.0 };
ReadOnlySpan<double> bidSize = stackalloc double[] { 10.0, 20.0, 30.0 };
ReadOnlySpan<double> askPrice = stackalloc double[] { 101.0, 102.0, 103.0 };
ReadOnlySpan<double> askSize = stackalloc double[] { 12.0, 22.0, 32.0 };
var result = slope.Update(bidPrice, bidSize, askPrice, askSize);
Assert.True(double.IsFinite(result));
}
}
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using Wickra;
using Xunit;
namespace Wickra.Tests;
public class SmaTests
{
[Fact]
public void StreamingMatchesReference()
{
using var sma = new Sma(3);
Assert.True(double.IsNaN(sma.Update(1)));
Assert.True(double.IsNaN(sma.Update(2)));
Assert.Equal(2.0, sma.Update(3), 9);
Assert.Equal(3.0, sma.Update(4), 9);
Assert.Equal(4.0, sma.Update(5), 9);
}
[Fact]
public void BatchMatchesStreaming()
{
using var sma = new Sma(3);
var output = sma.Batch(new double[] { 1, 2, 3, 4, 5 });
Assert.True(double.IsNaN(output[0]));
Assert.True(double.IsNaN(output[1]));
Assert.Equal(2.0, output[2], 9);
Assert.Equal(3.0, output[3], 9);
Assert.Equal(4.0, output[4], 9);
}
[Fact]
public void ResetClearsState()
{
using var sma = new Sma(3);
sma.Update(1);
sma.Update(2);
sma.Update(3);
sma.Reset();
Assert.True(double.IsNaN(sma.Update(10)));
}
[Fact]
public void ZeroPeriodThrows()
{
// Zero is rejected by the native constructor (returns NULL) -> ArgumentException;
// a negative period is caught earlier by the wrapper guard.
Assert.Throws<ArgumentException>(() => new Sma(0));
Assert.Throws<ArgumentOutOfRangeException>(() => new Sma(-1));
}
}
@@ -0,0 +1,21 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<LangVersion>latest</LangVersion>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<IsPackable>false</IsPackable>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.11.1" />
<PackageReference Include="xunit" Version="2.9.2" />
<PackageReference Include="xunit.runner.visualstudio" Version="2.8.2" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\Wickra\Wickra.csproj" />
</ItemGroup>
</Project>
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File diff suppressed because it is too large Load Diff
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@@ -0,0 +1,57 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<LangVersion>latest</LangVersion>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
<RootNamespace>Wickra</RootNamespace>
<AssemblyName>Wickra</AssemblyName>
<!-- NuGet package metadata -->
<PackageId>Wickra</PackageId>
<Version>0.7.7</Version>
<Authors>kingchenc</Authors>
<Description>High-performance streaming technical-analysis indicators (514 indicators) for .NET, backed by the native Rust core via the Wickra C ABI.</Description>
<PackageLicenseExpression>MIT OR Apache-2.0</PackageLicenseExpression>
<PackageProjectUrl>https://github.com/wickra-lib/wickra</PackageProjectUrl>
<RepositoryUrl>https://github.com/wickra-lib/wickra</RepositoryUrl>
<RepositoryType>git</RepositoryType>
<PackageTags>technical-analysis;indicators;trading;finance;streaming;ffi;native</PackageTags>
<PackageReadmeFile>README.md</PackageReadmeFile>
<IncludeSymbols>true</IncludeSymbols>
<SymbolPackageFormat>snupkg</SymbolPackageFormat>
<GenerateDocumentationFile>true</GenerateDocumentationFile>
<!-- A managed package carrying per-RID native assets; not built per-RID itself. -->
<IncludeBuildOutput>true</IncludeBuildOutput>
<!-- NU5128: managed package carrying only per-RID native assets.
CS1591: generated members are self-descriptive; hand-written API is documented. -->
<NoWarn>$(NoWarn);NU5128;CS1591</NoWarn>
</PropertyGroup>
<!--
Supported native runtime identifiers. The release pipeline builds the C ABI
per target triple and stages the libraries under
Wickra/runtimes/<rid>/native/ before `dotnet pack`:
win-x64 win-arm64 linux-x64 linux-arm64 osx-x64 osx-arm64
-->
<PropertyGroup>
<WickraRuntimeIdentifiers>win-x64;win-arm64;linux-x64;linux-arm64;osx-x64;osx-arm64</WickraRuntimeIdentifiers>
</PropertyGroup>
<ItemGroup>
<None Include="..\README.md" Pack="true" PackagePath="\" />
</ItemGroup>
<!--
Native libraries are packed under runtimes/<rid>/native/ by the release pipeline,
which unpacks the wickra-c-<triple>.tar.gz assets into the matching RID folders.
For local development and tests the natives are resolved from the cargo target dir
via WickraNative's DllImportResolver.
-->
<ItemGroup>
<None Include="runtimes/**/native/*" Pack="true" PackagePath="runtimes" Condition="Exists('runtimes')" />
</ItemGroup>
</Project>
+26
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@@ -0,0 +1,26 @@
using Microsoft.Win32.SafeHandles;
namespace Wickra;
/// <summary>
/// Owns an opaque native indicator handle and releases it via the indicator's
/// <c>_free</c> function. One generic handle type backs every indicator; the
/// correct free routine is captured at construction time.
/// </summary>
internal sealed class WickraHandle : SafeHandleZeroOrMinusOneIsInvalid
{
private readonly Action<nint> _free;
internal WickraHandle(nint handle, Action<nint> free)
: base(ownsHandle: true)
{
_free = free;
SetHandle(handle);
}
protected override bool ReleaseHandle()
{
_free(handle);
return true;
}
}
+87
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@@ -0,0 +1,87 @@
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace Wickra;
/// <summary>
/// Native library resolution for the Wickra C ABI.
/// </summary>
/// <remarks>
/// When consumed as a NuGet package the native library ships under
/// <c>runtimes/&lt;rid&gt;/native/</c> and the default runtime resolver finds it
/// automatically. For local development (project reference against a cargo build)
/// the resolver additionally walks up the directory tree to locate
/// <c>target/release</c> or <c>target/debug</c>. Every candidate is validated to
/// actually export the Wickra ABI before it is accepted, so an unrelated library
/// of the same name cannot shadow the real one.
/// </remarks>
internal static class WickraNative
{
/// <summary>The library name passed to <c>[LibraryImport]</c>.</summary>
internal const string LibraryName = "wickra";
// Any exported symbol works as a fingerprint; sma_new exists in every build.
private const string SentinelSymbol = "wickra_sma_new";
[ModuleInitializer]
internal static void Register()
{
NativeLibrary.SetDllImportResolver(typeof(WickraNative).Assembly, Resolve);
}
private static nint Resolve(string libraryName, System.Reflection.Assembly assembly, DllImportSearchPath? searchPath)
{
if (libraryName != LibraryName)
{
return nint.Zero;
}
// 1. Default resolution (NuGet runtimes/ layout, app-local copies). Accept
// only if it is genuinely the Wickra ABI; otherwise discard and fall through.
if (NativeLibrary.TryLoad(libraryName, assembly, searchPath, out var handle))
{
if (Exports(handle))
{
return handle;
}
NativeLibrary.Free(handle);
}
// 2. Development fallback: locate the cargo build output.
var fileName = NativeFileName();
var dir = AppContext.BaseDirectory;
for (var i = 0; i < 16 && dir is not null; i++)
{
foreach (var profile in new[] { "release", "debug" })
{
var candidate = Path.Combine(dir, "target", profile, fileName);
if (File.Exists(candidate) && NativeLibrary.TryLoad(candidate, out var devHandle))
{
if (Exports(devHandle))
{
return devHandle;
}
NativeLibrary.Free(devHandle);
}
}
dir = Path.GetDirectoryName(dir.TrimEnd(Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar));
}
return nint.Zero;
}
private static bool Exports(nint handle) => NativeLibrary.TryGetExport(handle, SentinelSymbol, out _);
private static string NativeFileName()
{
if (OperatingSystem.IsWindows())
{
return "wickra.dll";
}
return OperatingSystem.IsMacOS() ? "libwickra.dylib" : "libwickra.so";
}
}
+100
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@@ -0,0 +1,100 @@
# Wickra — Go
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![Go Reference](https://pkg.go.dev/badge/github.com/wickra-lib/wickra/bindings/go.svg)](https://pkg.go.dev/github.com/wickra-lib/wickra/bindings/go)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for Go, over the Wickra C ABI hub via cgo.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and
any other C-capable language. Every indicator is an O(1) streaming state machine,
so live trading bots and historical backtests share the exact same
implementation. This package is the Go binding; it consumes the C ABI hub through
cgo and exposes all 514 streaming-first indicators as idiomatic types.
## Install
```bash
go get github.com/wickra-lib/wickra/bindings/go
```
The binding uses cgo, so a C compiler is required, and it links against the
prebuilt Wickra C ABI library. Build that library from the workspace and stage
it under this package's `lib/` directory:
```bash
cargo build -p wickra-c --release
cp target/release/libwickra.so bindings/go/lib/ # Linux
cp target/release/libwickra.dylib bindings/go/lib/ # macOS
cp target/release/wickra.dll bindings/go/lib/ # Windows (also on PATH at run time)
```
On Linux and macOS the library path is baked in via rpath; on Windows the DLL
must be discoverable at run time (next to the executable or on `PATH`).
## Quick start
```go
package main
import (
"fmt"
wickra "github.com/wickra-lib/wickra/bindings/go"
)
func main() {
// Batch: run an indicator over a whole series (NaN at warmup positions).
prices := make([]float64, 1000)
for i := range prices {
prices[i] = 100.0 + float64(i)*0.1
}
sma, _ := wickra.NewSma(20)
defer sma.Close()
values := sma.Batch(prices)
// Streaming: the same indicator, fed tick by tick in O(1).
rsi, _ := wickra.NewRsi(14)
defer rsi.Close()
for _, price := range prices {
value := rsi.Update(price) // NaN during warmup, no recomputation
if value > 70 {
fmt.Println("overbought")
}
}
_ = values
}
```
`Batch(prices)` and feeding the same prices through `Update()` produce identical
values — the equivalence is enforced by the test suite. Multi-output indicators
(MACD, Bollinger, ADX, …) return `(Output, bool)`, with `false` while warming up.
Every indicator owns a native handle freed by `Close()`; a finalizer is wired as
a backstop, but call `Close()` (e.g. with `defer`) to release memory promptly.
## Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in the
main repository and documentation site:
- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
- **Runnable examples:** [`examples/go/`](https://github.com/wickra-lib/wickra/tree/main/examples/go)
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
## Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes are
deterministic transforms of the input data — they are not financial advice and
do not predict the market. Any use in a live trading context is at your own risk.
The library is provided **as is**, without warranty of any kind.
## License
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
+3
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@@ -0,0 +1,3 @@
module github.com/wickra-lib/wickra/bindings/go
go 1.23
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@@ -0,0 +1,7 @@
# Prebuilt Wickra C ABI libraries are provisioned locally / in CI, not committed.
*.so
*.dylib
*.dll
*.a
*.lib
*.exp
+25
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@@ -0,0 +1,25 @@
// Package wickra provides idiomatic Go bindings for the Wickra
// technical-analysis library over its C ABI hub.
//
// Each indicator is an opaque-handle type with a New<Indicator> constructor and
// Update/Batch/Reset/Close methods. Handles are freed by Close and, as a
// backstop, by a finalizer; call Close explicitly to release native memory
// promptly. The binding links against the prebuilt Wickra C ABI library
// (libwickra.so/.dylib or wickra.dll) staged under ./lib — see the package
// README for how to provision it.
package wickra
/*
#cgo CFLAGS: -I${SRCDIR}/../c/include
#cgo linux LDFLAGS: -L${SRCDIR}/lib -lwickra -Wl,-rpath,${SRCDIR}/lib
#cgo darwin LDFLAGS: -L${SRCDIR}/lib -lwickra -Wl,-rpath,${SRCDIR}/lib
#cgo windows LDFLAGS: -L${SRCDIR}/lib -l:wickra.dll
#include "wickra.h"
*/
import "C"
import "errors"
// ErrInvalidParams is returned by a New<Indicator> constructor when the native
// constructor rejects the supplied parameters (for example a zero period).
var ErrInvalidParams = errors.New("wickra: invalid indicator parameters")
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@@ -0,0 +1,151 @@
package wickra
import (
"math"
"testing"
)
// One indicator per FFI archetype, exercising the full New/Update/Batch/Reset/
// Close surface against the real native library.
func TestScalarKnownValue(t *testing.T) {
s, err := NewSma(3)
if err != nil {
t.Fatalf("NewSma: %v", err)
}
defer s.Close()
var last float64
for _, v := range []float64{1, 2, 3, 4, 5} {
last = s.Update(v)
}
if math.Abs(last-4.0) > 1e-9 {
t.Fatalf("sma(3) last = %v, want 4.0", last)
}
}
func TestScalarBatchMatchesStreaming(t *testing.T) {
input := []float64{1, 2, 3, 4, 5, 6, 7, 8}
stream, _ := NewSma(3)
defer stream.Close()
want := make([]float64, len(input))
for i, v := range input {
want[i] = stream.Update(v)
}
batchInd, _ := NewSma(3)
defer batchInd.Close()
got := batchInd.Batch(input)
if len(got) != len(want) {
t.Fatalf("batch len = %d, want %d", len(got), len(want))
}
for i := range want {
if math.IsNaN(want[i]) && math.IsNaN(got[i]) {
continue
}
if math.Abs(got[i]-want[i]) > 1e-9 {
t.Fatalf("batch[%d] = %v, streaming = %v", i, got[i], want[i])
}
}
}
func TestMultiOutput(t *testing.T) {
m, err := NewMacdIndicator(3, 6, 3)
if err != nil {
t.Fatalf("NewMacdIndicator: %v", err)
}
defer m.Close()
var ok bool
var out MacdOutput
for i := 0; i < 30; i++ {
out, ok = m.Update(100 + float64(i))
}
if !ok {
t.Fatal("macd never produced a value after warmup")
}
if math.IsNaN(out.Macd) {
t.Fatal("macd value is NaN after warmup")
}
}
func TestBars(t *testing.T) {
rb, err := NewRangeBars(2.0)
if err != nil {
t.Fatalf("NewRangeBars: %v", err)
}
defer rb.Close()
total := 0
for _, p := range []float64{100, 101, 103, 104, 99, 96, 102, 108, 95, 110} {
bars := rb.Update(p, p, p, p, 1, 0)
total += len(bars)
}
if total == 0 {
t.Fatal("range bars produced no bars over a 15-point move")
}
}
func TestProfile(t *testing.T) {
vp, err := NewVolumeProfile(10, 24)
if err != nil {
t.Fatalf("NewVolumeProfile: %v", err)
}
defer vp.Close()
var ok bool
var snap VolumeProfileOutputScalars
for i := 0; i < 50; i++ {
price := 100 + 5*math.Sin(float64(i)*0.3)
snap, ok = vp.Update(price, price+1, price-1, price, 1000, int64(i))
}
if !ok {
t.Fatal("volume profile never produced a snapshot")
}
if len(snap.Values) == 0 {
t.Fatal("volume profile returned an empty values buffer")
}
}
func TestArrayInput(t *testing.T) {
ob, err := NewOrderBookImbalanceFull()
if err != nil {
t.Fatalf("NewOrderBookImbalanceFull: %v", err)
}
defer ob.Close()
bidPrice := []float64{99.9, 99.8, 99.7}
bidSize := []float64{5, 3, 2}
askPrice := []float64{100.1, 100.2, 100.3}
askSize := []float64{1, 1, 1}
v := ob.Update(bidPrice, bidSize, askPrice, askSize)
if math.IsNaN(v) {
t.Fatal("order-book imbalance is NaN on a populated book")
}
}
func TestResetReturnsToWarmup(t *testing.T) {
s, _ := NewSma(3)
defer s.Close()
for _, v := range []float64{1, 2, 3} {
s.Update(v)
}
s.Reset()
if got := s.Update(10); !math.IsNaN(got) {
t.Fatalf("after reset first update = %v, want NaN (warmup)", got)
}
}
func TestInvalidParams(t *testing.T) {
if _, err := NewSma(0); err == nil {
t.Fatal("NewSma(0) should return ErrInvalidParams")
}
}
func TestCloseIsIdempotent(t *testing.T) {
s, _ := NewSma(3)
s.Close()
s.Close() // must not panic or double-free
}
+5 -3
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@@ -4,9 +4,11 @@ description = "Node.js bindings for the Wickra streaming-first technical indicat
version.workspace = true
authors.workspace = true
edition.workspace = true
# napi-build emits `cargo::` directives that require Rust >= 1.77; the rest of
# the workspace stays at 1.75 because the core crate has no such dependency.
rust-version = "1.77"
# napi-build 2.3.2 requires Rust >= 1.88 (newer than the workspace 1.80
# minimum, which itself was lifted to satisfy rayon-core 1.13.0). napi-build
# also emits `cargo::` directives that require >= 1.77 — that older floor is
# subsumed by the 1.88 requirement now.
rust-version = "1.88"
license.workspace = true
repository.workspace = true
homepage.workspace = true
+58 -30
View File
@@ -1,45 +1,73 @@
# @wickra/wickra
# Wickra — Node.js
Node.js bindings for the Wickra streaming-first technical indicators library.
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![npm](https://img.shields.io/npm/v/wickra.svg?logo=npm&color=red)](https://www.npmjs.com/package/wickra)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for Node.js. `npm install wickra`
prebuilt native binary, no system dependencies.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading bots and historical backtests share
the exact same implementation. This package is the Node.js binding (napi-rs);
it exposes 200+ streaming-first indicators across sixteen families.
## Install
Once published, install per platform via the precompiled native package:
```bash
npm install @wickra/wickra
npm install wickra
```
## Build from source
The native addon ships as a prebuilt binary per platform (Linux, macOS,
Windows — x64 and arm64), selected automatically through optional
dependencies. There is nothing to compile.
```bash
cd bindings/node
npm install
npm run build
npm test
```
The native module is built via [napi-rs](https://napi.rs/). The build script
produces a `wickra.<platform>-<arch>.node` binary in the package root that
`index.js` loads at runtime.
## Usage
## Quick start
```js
import { SMA, RSI, MACD, version } from '@wickra/wickra';
const wickra = require('wickra');
console.log('wickra', version());
// Batch: run an indicator over a whole array.
const prices = Array.from({ length: 1000 }, (_, i) => 100 + i * 0.1);
const values = new wickra.RSI(14).batch(prices); // null during warmup
// Batch:
const prices = Array.from({ length: 1000 }, (_, i) => 100 + Math.sin(i * 0.1) * 5);
const rsi = new RSI(14).batch(prices);
// Streaming:
const macd = new MACD(12, 26, 9);
for (const p of livePriceStream) {
const v = macd.update(p);
if (v && v.histogram > 0) console.log('bullish crossover candidate');
// Streaming: the same indicator, fed tick by tick in O(1).
const rsi = new wickra.RSI(14);
for (const price of liveFeed) {
const value = rsi.update(price); // no recomputation over history
if (value !== null && value > 70) {
console.log('overbought');
}
}
```
See `index.d.ts` for the full TypeScript surface.
`batch(prices)` and feeding the same prices through `update()` produce
identical values — the equivalence is enforced by the test suite.
## Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in
the main repository and documentation site:
- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
- **Runnable examples:** [`examples/node/`](https://github.com/wickra-lib/wickra/tree/main/examples/node)
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
## Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes
are deterministic transforms of the input data — they are not financial advice
and do not predict the market. Any use in a live trading context is at your own
risk. The library is provided **as is**, without warranty of any kind.
## License
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
@@ -0,0 +1,90 @@
// Completeness contract for the Wickra Node bindings: every exported indicator
// class must expose the full streaming + batch + lifecycle interface. This
// catches a new indicator being wired into the binding without the standard
// methods (or an export silently disappearing) without needing a hand-written
// test per indicator.
const test = require('node:test');
const assert = require('node:assert/strict');
const wickra = require('..');
// Bar builders (Renko / Kagi / Point & Figure) implement the `BarBuilder`
// contract, not `Indicator`: they emit a variable number of completed bars per
// candle and have no fixed warmup or ready state. They expose update/batch/reset
// but intentionally not isReady/warmupPeriod, so they are excluded from the
// Indicator completeness contract below (their interface is covered by the
// dedicated bar-builder tests).
const BAR_BUILDERS = new Set([
'RenkoBars',
'KagiBars',
'PointAndFigureBars',
'RangeBars',
'TickBars',
'VolumeBars',
'DollarBars',
'ImbalanceBars',
'RunBars',
'ThreeLineBreakBars',
]);
// An "indicator class" is an exported constructor whose prototype carries the
// streaming `update` method. This excludes `version` (a plain function), the bar
// builders, and any non-indicator export.
function indicatorClasses() {
return Object.keys(wickra).filter((name) => {
const value = wickra[name];
return (
typeof value === 'function' &&
value.prototype &&
typeof value.prototype.update === 'function' &&
!BAR_BUILDERS.has(name)
);
});
}
test('the binding exports the full indicator catalogue', () => {
const names = indicatorClasses();
// The published catalogue is 214 indicators. Guard against a regression that
// silently drops exported classes (e.g. a stale or partial native build).
assert.ok(
names.length >= 200,
`expected at least 200 indicator classes, got ${names.length}`,
);
});
test('every exported indicator exposes update / batch / reset / isReady / warmupPeriod', () => {
const required = ['update', 'batch', 'reset', 'isReady', 'warmupPeriod'];
const missing = [];
for (const name of indicatorClasses()) {
const proto = wickra[name].prototype;
for (const method of required) {
if (typeof proto[method] !== 'function') {
missing.push(`${name}.${method}`);
}
}
}
assert.deepEqual(
missing,
[],
`indicator classes missing required methods: ${missing.join(', ')}`,
);
});
test('a freshly constructed indicator reports not-ready with a positive warmup', () => {
// Every indicator that takes no constructor arguments must still satisfy the
// pre-warmup contract. (Indicators with required parameters are exercised by
// the dedicated suites; here we cover the zero-arg ones generically.)
let checked = 0;
for (const name of indicatorClasses()) {
let instance;
try {
instance = new wickra[name]();
} catch {
continue; // needs constructor arguments — covered elsewhere
}
assert.equal(instance.isReady(), false, `${name} should start un-ready`);
assert.ok(instance.warmupPeriod() >= 1, `${name} warmup must be >= 1`);
checked += 1;
}
assert.ok(checked > 0, 'expected at least one zero-arg indicator to check');
});
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@@ -0,0 +1,84 @@
// Input-validation tests for the Wickra Node bindings: malformed constructor
// parameters and mismatched batch inputs must raise a JS Error (the napi
// wrapper turns the Rust `Err` into a thrown Error), not crash the process.
// Node counterpart of bindings/python/tests/test_input_validation.py.
const test = require('node:test');
const assert = require('node:assert/strict');
const wickra = require('..');
// --- Constructors reject invalid periods / parameters ---
test('ATR rejects a zero period at construction', () => {
// ATR validates its period (it drives the Wilder-smoothing length). The
// plain moving averages (SMA/EMA/RSI/StdDev) instead treat period 0 as a
// warmup-1 pass-through rather than an error, so they are not asserted here.
assert.throws(() => new wickra.ATR(0), /.*/);
});
test('MACD rejects zero and non-increasing fast/slow periods', () => {
assert.throws(() => new wickra.MACD(0, 0, 0), /.*/);
// fast must be strictly less than slow.
assert.throws(() => new wickra.MACD(26, 12, 9), /.*/);
});
test('BollingerBands rejects a negative standard-deviation multiplier', () => {
assert.throws(() => new wickra.BollingerBands(20, -1), /.*/);
});
test('PSAR rejects a step greater than its maximum', () => {
assert.throws(() => new wickra.PSAR(0.3, 0.02, 0.2), /.*/);
});
test('ValueArea rejects zero periods and out-of-range value-area percentages', () => {
assert.throws(() => new wickra.ValueArea(0, 50, 0.7), /.*/);
assert.throws(() => new wickra.ValueArea(20, 0, 0.7), /.*/);
assert.throws(() => new wickra.ValueArea(20, 50, 0.0), /.*/);
assert.throws(() => new wickra.ValueArea(20, 50, 1.5), /.*/);
});
test('InitialBalance and OpeningRange reject a zero period', () => {
assert.throws(() => new wickra.InitialBalance(0), /.*/);
assert.throws(() => new wickra.OpeningRange(0), /.*/);
});
test('Ichimoku rejects zero and non-increasing periods', () => {
assert.throws(() => new wickra.Ichimoku(0, 26, 52, 26), /.*/);
assert.throws(() => new wickra.Ichimoku(9, 26, 52, 0), /.*/);
// Periods must satisfy tenkan < kijun < senkouB.
assert.throws(() => new wickra.Ichimoku(26, 9, 52, 26), /.*/);
assert.throws(() => new wickra.Ichimoku(9, 52, 52, 26), /.*/);
});
test('Family 10 (Ehlers / cycle) indicators reject invalid parameters', () => {
// InverseFisherTransform needs a non-zero scaling factor.
assert.throws(() => new wickra.InverseFisherTransform(0.0), /.*/);
// DecyclerOscillator / RoofingFilter need the short cutoff below the long one.
assert.throws(() => new wickra.DecyclerOscillator(30, 10), /.*/);
assert.throws(() => new wickra.RoofingFilter(48, 10), /.*/);
// MAMA needs fast limit > slow limit.
assert.throws(() => new wickra.MAMA(0.05, 0.5), /.*/);
// EmpiricalModeDecomposition needs a positive fraction.
assert.throws(() => new wickra.EmpiricalModeDecomposition(20, 0.0), /.*/);
// NOTE: SuperSmoother(0) / FisherTransform(0) are NOT asserted: the Node
// binding treats their period 0 as a warmup-1 pass-through (same as the
// simple moving averages) rather than an error.
});
// --- Batch methods reject mismatched input lengths ---
test('candle batch methods reject unequal-length columns', () => {
const high = [10, 11, 12];
const low = [9, 10]; // one short
const close = [9.5, 10.5, 11.5];
assert.throws(() => new wickra.ATR(14).batch(high, low, close), /.*/);
assert.throws(() => new wickra.WilliamsR(14).batch(high, low, close), /.*/);
assert.throws(() => new wickra.Aroon(14).batch(high, low), /.*/);
});
test('ValueArea batch rejects unequal-length columns', () => {
const high = [1, 2, 3];
const low = [0.5, 1.5]; // short
const volume = [10, 10, 10];
assert.throws(() => new wickra.ValueArea(2, 10, 0.7).batch(high, low, volume), /.*/);
});
@@ -0,0 +1,96 @@
// Streaming-vs-batch equivalence and reference values for the Seasonality &
// Session family. These indicators consume the full candle (open, high, low,
// close, volume, timestamp), so they have a dedicated suite.
const test = require('node:test');
const assert = require('node:assert/strict');
const wickra = require('..');
const HOUR = 3_600_000;
const N = 240;
const close = Array.from({ length: N }, (_, i) => 100 + Math.sin(i * 0.3) * 5 + Math.cos(i * 0.1) * 3);
const open = close.map((c, i) => c + Math.sin(i * 0.5) * 0.5);
const high = close.map((c, i) => Math.max(open[i], c) + 1);
const low = close.map((c, i) => Math.min(open[i], c) - 1);
const volume = Array.from({ length: N }, (_, i) => 1000 + (i % 24) * 50);
const ts = Array.from({ length: N }, (_, i) => i * HOUR);
function eq(a, b) {
if (Number.isNaN(a)) return Number.isNaN(b);
return Math.abs(a - b) < 1e-9;
}
function streamScalar(ind, i) {
const v = ind.update(open[i], high[i], low[i], close[i], volume[i], ts[i]);
return v === null || v === undefined ? NaN : v;
}
function checkScalar(name, make) {
test(`${name} streaming equals batch`, () => {
const a = make();
const b = make();
const batch = b.batch(open, high, low, close, volume, ts);
for (let i = 0; i < N; i += 1) {
assert.ok(eq(streamScalar(a, i), batch[i]), `${name} row ${i}`);
}
});
}
function checkMatrix(name, make, k, pick) {
test(`${name} streaming equals batch`, () => {
const a = make();
const b = make();
const batch = b.batch(open, high, low, close, volume, ts);
for (let i = 0; i < N; i += 1) {
const out = a.update(open[i], high[i], low[i], close[i], volume[i], ts[i]);
for (let j = 0; j < k; j += 1) {
const s = out === null || out === undefined ? NaN : pick(out, j);
assert.ok(eq(s, batch[i * k + j]), `${name} row ${i} col ${j}`);
}
}
});
}
checkScalar('SessionVwap', () => new wickra.SessionVwap(0));
checkScalar('OvernightGap', () => new wickra.OvernightGap(0));
checkScalar('SeasonalZScore', () => new wickra.SeasonalZScore(0));
checkScalar('AverageDailyRange', () => new wickra.AverageDailyRange(3, 0));
checkScalar('TurnOfMonth', () => new wickra.TurnOfMonth(3, 1, 0));
checkMatrix('SessionHighLow', () => new wickra.SessionHighLow(0), 2, (o, j) => (j === 0 ? o.high : o.low));
checkMatrix('SessionRange', () => new wickra.SessionRange(0), 3, (o, j) => [o.asia, o.eu, o.us][j]);
checkMatrix(
'OvernightIntradayReturn',
() => new wickra.OvernightIntradayReturn(0),
2,
(o, j) => (j === 0 ? o.overnight : o.intraday),
);
checkMatrix('TimeOfDayReturnProfile', () => new wickra.TimeOfDayReturnProfile(24, 0), 24, (o, j) => o[j]);
checkMatrix('IntradayVolatilityProfile', () => new wickra.IntradayVolatilityProfile(12, 0), 12, (o, j) => o[j]);
checkMatrix('VolumeByTimeProfile', () => new wickra.VolumeByTimeProfile(24, 0), 24, (o, j) => o[j]);
checkMatrix('DayOfWeekProfile', () => new wickra.DayOfWeekProfile(0), 7, (o, j) => o[j]);
test('SessionVwap reference value', () => {
const vwap = new wickra.SessionVwap(0);
assert.ok(eq(vwap.update(100, 100, 100, 100, 10, 0), 100));
assert.ok(eq(vwap.update(110, 110, 110, 110, 30, HOUR), 107.5));
assert.ok(eq(vwap.update(200, 200, 200, 200, 5, 24 * HOUR), 200));
});
test('OvernightGap reference value', () => {
const gap = new wickra.OvernightGap(0);
assert.equal(gap.update(99, 101, 98, 100, 1, 0), null);
assert.ok(eq(gap.update(105, 106, 104, 105.5, 1, 24 * HOUR), 0.05));
});
test('SessionHighLow reference object', () => {
const shl = new wickra.SessionHighLow(0);
shl.update(100, 105, 99, 101, 1, 0);
const out = shl.update(101, 108, 100, 107, 1, HOUR);
assert.ok(eq(out.high, 108));
assert.ok(eq(out.low, 99));
});
test('AverageDailyRange rejects zero period', () => {
assert.throws(() => new wickra.AverageDailyRange(0, 0));
});
+6 -6
View File
@@ -73,10 +73,10 @@ test('ATR batch shape', () => {
}
});
test('zero period is clamped to a valid window', () => {
// Constructors cannot throw from JS (napi-rs 2.16 limitation), so they
// clamp pathological values like period=0 to the smallest valid window.
const sma = new wickra.SMA(0);
assert.equal(sma.warmupPeriod(), 1);
assert.equal(sma.update(42), 42);
test('zero period is rejected at construction', () => {
// The core rejects period 0 (Error::PeriodZero); the Node binding propagates
// it as a thrown JS error, consistent with the Python and WASM bindings.
assert.throws(() => new wickra.SMA(0), /period must be greater than zero/);
// A valid period still constructs and runs.
assert.equal(new wickra.SMA(1).update(42), 42);
});
+99
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@@ -0,0 +1,99 @@
// Throughput benchmark for the Wickra Node bindings.
//
// Measures how many indicator updates per second the native binding sustains,
// both per-tick (streaming `update`) and bulk (`batch`), over a synthetic
// OHLCV series. It is the Node counterpart of the Rust criterion benches and
// the Python `benchmarks/compare_libraries.py`; it benchmarks Wickra's own
// O(1) streaming engine (there is no install-free TA library on npm with a
// comparable surface to compare against), so the headline number is raw
// throughput, not a cross-library ratio.
//
// Run after building the binding:
//
// cd bindings/node && npm install && npx napi build --platform --release
// node benchmarks/throughput.js # 200k bars (default)
// node benchmarks/throughput.js --bars 1000000
const wickra = require('..');
function parseBars() {
const idx = process.argv.indexOf('--bars');
if (idx !== -1 && process.argv[idx + 1]) {
const n = Number(process.argv[idx + 1]);
if (Number.isFinite(n) && n >= 1000) return Math.floor(n);
console.error('--bars must be a number >= 1000');
process.exit(1);
}
return 200_000;
}
const BARS = parseBars();
// Deterministic synthetic OHLCV (no RNG, so runs are comparable).
const close = new Array(BARS);
const high = new Array(BARS);
const low = new Array(BARS);
const volume = new Array(BARS);
for (let i = 0; i < BARS; i++) {
const mid = 100 + Math.sin(i * 0.001) * 20 + i * 1e-4;
close[i] = mid + Math.sin(i * 0.05) * 2;
high[i] = Math.max(close[i], mid) + 1.5;
low[i] = Math.min(close[i], mid) - 1.5;
volume[i] = 1000 + (i % 97) * 13;
}
// Median elapsed-ns over a few repetitions, after one warmup pass.
function timeNs(fn, reps = 3) {
fn(); // warmup (JIT + cache)
const samples = [];
for (let r = 0; r < reps; r++) {
const t0 = process.hrtime.bigint();
fn();
samples.push(Number(process.hrtime.bigint() - t0));
}
samples.sort((a, b) => a - b);
return samples[Math.floor(samples.length / 2)];
}
function mupsFromNs(ns) {
return (BARS / (ns / 1e9)) / 1e6; // million updates per second
}
// Each indicator: a streaming step and a batch call over the full series.
const indicators = [
{ name: 'SMA(20)', make: () => new wickra.SMA(20), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'EMA(20)', make: () => new wickra.EMA(20), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'RSI(14)', make: () => new wickra.RSI(14), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'StdDev(20)', make: () => new wickra.StdDev(20), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'MACD(12,26,9)', make: () => new wickra.MACD(12, 26, 9), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'BollingerBands(20,2)', make: () => new wickra.BollingerBands(20, 2), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'KAMA(10,2,30)', make: () => new wickra.KAMA(10, 2, 30), step: (ind, i) => ind.update(close[i]), batch: (ind) => ind.batch(close) },
{ name: 'ATR(14)', make: () => new wickra.ATR(14), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
{ name: 'ADX(14)', make: () => new wickra.ADX(14), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
{ name: 'Stochastic(14,3)', make: () => new wickra.Stochastic(14, 3), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
{ name: 'SuperTrend(10,3)', make: () => new wickra.SuperTrend(10, 3), step: (ind, i) => ind.update(high[i], low[i], close[i]), batch: (ind) => ind.batch(high, low, close) },
{ name: 'OBV', make: () => new wickra.OBV(), step: (ind, i) => ind.update(close[i], volume[i]), batch: (ind) => ind.batch(close, volume) },
];
console.log(`Wickra Node throughput — ${BARS.toLocaleString('en-US')} bars (median of 3 runs)\n`);
console.log(`${'Indicator'.padEnd(22)}${'streaming (Mupd/s)'.padStart(20)}${'batch (Mupd/s)'.padStart(18)}`);
console.log('-'.repeat(60));
for (const ind of indicators) {
const streamNs = timeNs(() => {
const inst = ind.make();
for (let i = 0; i < BARS; i++) ind.step(inst, i);
});
const batchNs = timeNs(() => {
ind.batch(ind.make());
});
console.log(
`${ind.name.padEnd(22)}${mupsFromNs(streamNs).toFixed(1).padStart(20)}${mupsFromNs(batchNs).toFixed(1).padStart(18)}`,
);
}
console.log(
'\nMupd/s = million indicator updates per second. Streaming is the per-tick\n' +
'`update` path (one value at a time); batch is the bulk array path. Higher is\n' +
'better. Numbers are machine-dependent — use them for relative comparison.',
);
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+819 -40
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+5 -5
View File
@@ -1,14 +1,14 @@
{
"name": "wickra-darwin-arm64",
"version": "0.1.2",
"version": "0.7.7",
"description": "Native binding for wickra (macOS Apple Silicon). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.darwin-arm64.node",
"files": [
"wickra.darwin-arm64.node"
],
"license": "SEE LICENSE IN LICENSE",
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 16"
"node": ">= 18"
},
"os": [
"darwin"
@@ -18,7 +18,7 @@
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/kingchenc/wickra"
"homepage": "https://github.com/wickra-lib/wickra"
}
+5 -5
View File
@@ -1,14 +1,14 @@
{
"name": "wickra-darwin-x64",
"version": "0.1.2",
"version": "0.7.7",
"description": "Native binding for wickra (macOS Intel). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.darwin-x64.node",
"files": [
"wickra.darwin-x64.node"
],
"license": "SEE LICENSE IN LICENSE",
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 16"
"node": ">= 18"
},
"os": [
"darwin"
@@ -18,7 +18,7 @@
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/kingchenc/wickra"
"homepage": "https://github.com/wickra-lib/wickra"
}
@@ -0,0 +1,27 @@
{
"name": "wickra-linux-arm64-gnu",
"version": "0.7.7",
"description": "Native binding for wickra (linux arm64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.linux-arm64-gnu.node",
"files": [
"wickra.linux-arm64-gnu.node"
],
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 18"
},
"os": [
"linux"
],
"cpu": [
"arm64"
],
"libc": [
"glibc"
],
"repository": {
"type": "git",
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/wickra-lib/wickra"
}
+5 -5
View File
@@ -1,14 +1,14 @@
{
"name": "wickra-linux-x64-gnu",
"version": "0.1.2",
"version": "0.7.7",
"description": "Native binding for wickra (linux x64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.linux-x64-gnu.node",
"files": [
"wickra.linux-x64-gnu.node"
],
"license": "SEE LICENSE IN LICENSE",
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 16"
"node": ">= 18"
},
"os": [
"linux"
@@ -21,7 +21,7 @@
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/kingchenc/wickra"
"homepage": "https://github.com/wickra-lib/wickra"
}
@@ -0,0 +1,24 @@
{
"name": "wickra-win32-arm64-msvc",
"version": "0.7.7",
"description": "Native binding for wickra (Windows arm64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.win32-arm64-msvc.node",
"files": [
"wickra.win32-arm64-msvc.node"
],
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 18"
},
"os": [
"win32"
],
"cpu": [
"arm64"
],
"repository": {
"type": "git",
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/wickra-lib/wickra"
}
@@ -1,14 +1,14 @@
{
"name": "wickra-win32-x64-msvc",
"version": "0.1.2",
"version": "0.7.7",
"description": "Native binding for wickra (Windows x64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.win32-x64-msvc.node",
"files": [
"wickra.win32-x64-msvc.node"
],
"license": "SEE LICENSE IN LICENSE",
"license": "MIT OR Apache-2.0",
"engines": {
"node": ">= 16"
"node": ">= 18"
},
"os": [
"win32"
@@ -18,7 +18,7 @@
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
"url": "https://github.com/wickra-lib/wickra"
},
"homepage": "https://github.com/kingchenc/wickra"
"homepage": "https://github.com/wickra-lib/wickra"
}
+140
View File
@@ -0,0 +1,140 @@
{
"name": "wickra",
"version": "0.7.7",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "wickra",
"version": "0.7.7",
"license": "MIT OR Apache-2.0",
"devDependencies": {
"@napi-rs/cli": "^2.18.0"
},
"engines": {
"node": ">= 18"
},
"optionalDependencies": {
"wickra-darwin-arm64": "0.7.7",
"wickra-darwin-x64": "0.7.7",
"wickra-linux-arm64-gnu": "0.7.7",
"wickra-linux-x64-gnu": "0.7.7",
"wickra-win32-arm64-msvc": "0.7.7",
"wickra-win32-x64-msvc": "0.7.7"
}
},
"node_modules/@napi-rs/cli": {
"version": "2.18.4",
"resolved": "https://registry.npmjs.org/@napi-rs/cli/-/cli-2.18.4.tgz",
"integrity": "sha512-SgJeA4df9DE2iAEpr3M2H0OKl/yjtg1BnRI5/JyowS71tUWhrfSu2LT0V3vlHET+g1hBVlrO60PmEXwUEKp8Mg==",
"dev": true,
"license": "MIT",
"bin": {
"napi": "scripts/index.js"
},
"engines": {
"node": ">= 10"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
}
},
"node_modules/wickra-darwin-arm64": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-darwin-arm64/-/wickra-darwin-arm64-0.7.7.tgz",
"integrity": "sha512-4eZiBR/yGUdr4nzhEUFy2i69XgNx64iI2ax/LPamsThgylC0KpHOZKK19QzJ2d9KbK4C8nMjME5FLuR+4GNEwQ==",
"cpu": [
"arm64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": ">= 18"
}
},
"node_modules/wickra-darwin-x64": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-darwin-x64/-/wickra-darwin-x64-0.7.7.tgz",
"integrity": "sha512-6hf8zI3QPjTFp4zCpmgUwDvNtu6jHqNUHKD5e55POo0CgA52HkpyxSPtVm8TGTIZDI7kPjlbOdBM8CJ76mmXwA==",
"cpu": [
"x64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": ">= 18"
}
},
"node_modules/wickra-linux-arm64-gnu": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-linux-arm64-gnu/-/wickra-linux-arm64-gnu-0.7.7.tgz",
"integrity": "sha512-kSe6y0xBMSiqdPLXNjwop5WZdHtvdBNKSEBCwZ4hFq33p4apW25/wrlzv9/oDuyD4kuPabJEhCCnFOplh58CUg==",
"cpu": [
"arm64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 18"
}
},
"node_modules/wickra-linux-x64-gnu": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-linux-x64-gnu/-/wickra-linux-x64-gnu-0.7.7.tgz",
"integrity": "sha512-tWBWS4qz7hxM4xnpFb59bhf6TaLwXq0Z3jEa/2l7r8PiHA94g8r8S53NRMiT+4yiL5hSWe/nUiC/YXdRrhEZ4g==",
"cpu": [
"x64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": ">= 18"
}
},
"node_modules/wickra-win32-arm64-msvc": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-win32-arm64-msvc/-/wickra-win32-arm64-msvc-0.7.7.tgz",
"integrity": "sha512-EXIckHxAtF75PUGDKRzXyqMe9ldP0JjSdu68WFN6iJfp+McYrGu6h40TEJlQ/oUEIoPqiZB/xhVyo/el5Lg7zw==",
"cpu": [
"arm64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 18"
}
},
"node_modules/wickra-win32-x64-msvc": {
"version": "0.7.7",
"resolved": "https://registry.npmjs.org/wickra-win32-x64-msvc/-/wickra-win32-x64-msvc-0.7.7.tgz",
"integrity": "sha512-Yfsqq1Xwp6hdxMyLze411vNdo7BDwI6+lPSe7A9XdqyPecNDbtKwYLpsal2r8EHbNzqM+R8XnuRtUaEQS5VlUQ==",
"cpu": [
"x64"
],
"license": "MIT OR Apache-2.0",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": ">= 18"
}
}
}
}
+18 -14
View File
@@ -1,11 +1,11 @@
{
"name": "wickra",
"version": "0.1.2",
"version": "0.7.7",
"description": "Streaming-first technical indicators: incremental, fast, install-free. Node bindings powered by Rust.",
"author": "kingchenc <kingchencp@gmail.com>",
"author": "kingchenc <support@wickra.org>",
"main": "index.js",
"types": "index.d.ts",
"license": "SEE LICENSE IN LICENSE",
"license": "MIT OR Apache-2.0",
"keywords": [
"trading",
"indicators",
@@ -17,12 +17,12 @@
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
"url": "https://github.com/wickra-lib/wickra"
},
"bugs": {
"url": "https://github.com/kingchenc/wickra/issues"
"url": "https://github.com/wickra-lib/wickra/issues"
},
"homepage": "https://github.com/kingchenc/wickra",
"homepage": "https://github.com/wickra-lib/wickra",
"files": [
"index.js",
"index.d.ts",
@@ -35,29 +35,33 @@
"defaults": false,
"additional": [
"x86_64-unknown-linux-gnu",
"aarch64-unknown-linux-gnu",
"x86_64-apple-darwin",
"aarch64-apple-darwin",
"x86_64-pc-windows-msvc"
"x86_64-pc-windows-msvc",
"aarch64-pc-windows-msvc"
]
}
},
"engines": {
"node": ">= 16"
"node": ">= 18"
},
"optionalDependencies": {
"wickra-linux-x64-gnu": "0.1.2",
"wickra-darwin-x64": "0.1.2",
"wickra-darwin-arm64": "0.1.2",
"wickra-win32-x64-msvc": "0.1.2"
"wickra-linux-x64-gnu": "0.7.7",
"wickra-linux-arm64-gnu": "0.7.7",
"wickra-darwin-x64": "0.7.7",
"wickra-darwin-arm64": "0.7.7",
"wickra-win32-x64-msvc": "0.7.7",
"wickra-win32-arm64-msvc": "0.7.7"
},
"scripts": {
"build": "napi build --platform --release",
"build:debug": "napi build --platform",
"artifacts": "napi artifacts",
"prepublishOnly": "napi prepublish -t npm",
"universal": "napi universal",
"version": "napi version",
"test": "node --test __tests__/"
"test": "node --test __tests__/",
"bench": "node benchmarks/throughput.js"
},
"devDependencies": {
"@napi-rs/cli": "^2.18.0"
+19759 -295
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+47 -29
View File
@@ -1,54 +1,72 @@
# Wickra — Python bindings
# Wickra — Python
Streaming-first technical indicators powered by a Rust core.
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![PyPI](https://img.shields.io/pypi/v/wickra.svg?logo=pypi&color=blue)](https://pypi.org/project/wickra/)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for Python. `pip install wickra` — no
system dependencies, no C build tooling.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading bots and historical backtests share
the exact same implementation. This package is the Python binding (PyO3); it
exposes 200+ streaming-first indicators across sixteen families.
## Install
```bash
pip install wickra
```
Pre-built wheels ship for Linux, macOS, and Windows — there is nothing to
compile and no C library to track down.
## Quick start
```python
import numpy as np
import wickra as ta
# Batch TA-Lib-style usage
# Batch: classic TA-Lib-style usage over a whole array.
prices = np.linspace(100, 200, 1000)
rsi = ta.RSI(14).batch(prices) # NumPy array; NaN during warmup
# Streaming — feed ticks one at a time
rsi = ta.RSI(14)
for price in live_prices:
v = rsi.update(price) # O(1) per tick
if v is not None and v > 70:
...
values = rsi.batch(prices) # numpy array, NaN during warmup
# Streaming: the same indicator, fed tick by tick in O(1).
rsi = ta.RSI(14)
for price in live_feed:
value = rsi.update(price) # no recomputation over history
if value is not None and value > 70:
print("overbought")
```
## What's included
`batch(prices)` and feeding the same prices through `update()` produce
identical values — the equivalence is enforced by the test suite.
25 streaming-first indicators across four families. Every one passes a
`batch == streaming` equivalence test and reference-value tests:
## Documentation
- **Trend** — SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA
- **Momentum** — RSI (Wilder), MACD, Stochastic, CCI, ROC, WilliamsR, ADX,
MFI, TRIX, AwesomeOscillator, Aroon
- **Volatility** — BollingerBands, ATR, Keltner, Donchian, PSAR
- **Volume** — OBV, VWAP
The full indicator catalogue, guides, quickstarts, and API reference live in
the main repository and documentation site:
## Why streaming-first matters
- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
- **Runnable examples:** [`examples/python/`](https://github.com/wickra-lib/wickra/tree/main/examples/python)
Classic TA libraries are batch-only: every live tick triggers a full
recomputation over the entire history. Wickra updates indicator state in
O(1) per tick. On a 5K-bar history the streaming RSI gap is ~17× over the
nearest peer with a streaming API and 100×+ over batch-only libraries.
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
## Full project
## Disclaimer
See <https://github.com/kingchenc/wickra> for benchmarks, the Rust core,
Node.js and WebAssembly bindings, examples, and CI.
Wickra is an indicator toolkit, not a trading system. The values it computes
are deterministic transforms of the input data — they are not financial advice
and do not predict the market. Any use in a live trading context is at your own
risk. The library is provided **as is**, without warranty of any kind.
## License
Licensed under the **PolyForm Noncommercial License 1.0.0**. Personal,
research, educational, and non-profit use are all permitted. Commercial
sale requires a separate license — contact via the GitHub repo.
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
+368 -16
View File
@@ -49,6 +49,7 @@ TALIB = _try_import("talib")
PANDAS_TA = _try_import("pandas_ta")
TALIPP = _try_import("talipp.indicators") or _try_import("talipp")
FINTA = _try_import("finta")
TULIPY = _try_import("tulipy")
PD = _try_import("pandas")
import wickra as WICKRA # noqa: E402 -- the library under test must be importable
@@ -71,13 +72,23 @@ class Sample:
return (self.seconds / self.iterations) * 1_000_000
def time_call(fn: Callable[[], None], iterations: int) -> float:
"""Time ``fn`` over ``iterations`` calls, returning total wall seconds."""
def time_call(fn: Callable[[], None], iterations: int, rounds: int = 5) -> float:
"""Time ``fn`` over ``iterations`` calls per round, across ``rounds`` rounds.
Returns the *median* round's wall seconds for one round of ``iterations``
calls. Taking the median across several rounds damps the OS scheduling and
GC jitter that a single timing pass would otherwise bake into the result,
so the per-iteration figure is stable run-to-run. Callers keep dividing the
return value by ``iterations``.
"""
fn() # one warmup call to populate caches
start = time.perf_counter()
for _ in range(iterations):
fn()
return time.perf_counter() - start
rounds_s: List[float] = []
for _ in range(rounds):
start = time.perf_counter()
for _ in range(iterations):
fn()
rounds_s.append(time.perf_counter() - start)
return statistics.median(rounds_s)
def gen_prices(n: int, seed: int = 0xC0FFEE) -> np.ndarray:
@@ -275,6 +286,34 @@ def talipp_bollinger_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return lambda: BB(period=20, std_dev_mult=2.0, input_values=list(prices))
# tulipy wraps the C "Tulip Indicators" library; it takes contiguous float64
# arrays and indicator options as positional arguments.
def tulipy_sma_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.sma(prices, 20))
def tulipy_ema_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.ema(prices, 20))
def tulipy_rsi_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.rsi(prices, 14))
def tulipy_macd_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.macd(prices, 12, 26, 9))
def tulipy_bollinger_batch(prices: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.bbands(prices, 20, 2.0))
def tulipy_atr_batch(high: np.ndarray, low: np.ndarray, close: np.ndarray) -> Optional[Callable[[], None]]:
return None if TULIPY is None else (lambda: TULIPY.atr(high, low, close, 14))
# --------------------------------------------------------------------------- #
# Streaming scenario: per-tick latency
# --------------------------------------------------------------------------- #
@@ -329,6 +368,260 @@ def talipp_rsi_streaming(seed: np.ndarray, live: np.ndarray) -> Optional[Callabl
return run
# Scalar streaming peers: Wickra and talipp both update incrementally in O(1),
# so this is the like-for-like per-tick comparison (batch-only libs are covered
# by the batch tables and the recompute contrast on RSI above).
def wickra_sma_streaming(seed: np.ndarray, live: np.ndarray) -> Callable[[], None]:
def run() -> None:
sma = WICKRA.SMA(20)
sma.batch(seed)
for p in live:
sma.update(float(p))
return run
def talipp_sma_streaming(seed: np.ndarray, live: np.ndarray) -> Optional[Callable[[], None]]:
if TALIPP is None:
return None
from talipp.indicators import SMA # type: ignore
def run() -> None:
sma = SMA(period=20, input_values=list(seed))
for p in live:
sma.add(float(p))
return run
def wickra_ema_streaming(seed: np.ndarray, live: np.ndarray) -> Callable[[], None]:
def run() -> None:
ema = WICKRA.EMA(20)
ema.batch(seed)
for p in live:
ema.update(float(p))
return run
def talipp_ema_streaming(seed: np.ndarray, live: np.ndarray) -> Optional[Callable[[], None]]:
if TALIPP is None:
return None
from talipp.indicators import EMA # type: ignore
def run() -> None:
ema = EMA(period=20, input_values=list(seed))
for p in live:
ema.add(float(p))
return run
def wickra_macd_streaming(seed: np.ndarray, live: np.ndarray) -> Callable[[], None]:
def run() -> None:
macd = WICKRA.MACD()
macd.batch(seed)
for p in live:
macd.update(float(p))
return run
def talipp_macd_streaming(seed: np.ndarray, live: np.ndarray) -> Optional[Callable[[], None]]:
if TALIPP is None:
return None
from talipp.indicators import MACD # type: ignore
def run() -> None:
macd = MACD(
fast_period=12, slow_period=26, signal_period=9, input_values=list(seed)
)
for p in live:
macd.add(float(p))
return run
def wickra_bollinger_streaming(seed: np.ndarray, live: np.ndarray) -> Callable[[], None]:
def run() -> None:
bb = WICKRA.BollingerBands(20, 2.0)
bb.batch(seed)
for p in live:
bb.update(float(p))
return run
def talipp_bollinger_streaming(seed: np.ndarray, live: np.ndarray) -> Optional[Callable[[], None]]:
if TALIPP is None:
return None
from talipp.indicators import BB # type: ignore
def run() -> None:
bb = BB(period=20, std_dev_mult=2.0, input_values=list(seed))
for p in live:
bb.add(float(p))
return run
# Recompute streaming peers: batch-only libraries have no incremental API, so
# the only honest way to drive them tick-by-tick is to re-run the full batch
# over the grown history on every new price. These runners expose exactly that
# cost — the gap Wickra's O(1) update closes.
def _talib_recompute_streaming(seed, live, fn):
def run() -> None:
history = list(seed)
for p in live:
history.append(float(p))
fn(np.asarray(history))
return run
def _pandas_ta_recompute_streaming(seed, live, fn):
def run() -> None:
history = list(seed)
for p in live:
history.append(float(p))
fn(PD.Series(history))
return run
def _tulipy_recompute_streaming(seed, live, fn):
def run() -> None:
history = list(seed)
for p in live:
history.append(float(p))
fn(np.asarray(history, dtype=np.float64))
return run
def _finta_recompute_streaming(seed, live, fn):
def run() -> None:
history = list(seed)
for p in live:
history.append(float(p))
arr = np.asarray(history)
fn(PD.DataFrame({"open": arr, "high": arr, "low": arr, "close": arr, "volume": np.ones_like(arr)}))
return run
def talib_sma_streaming(seed, live):
if TALIB is None:
return None
return _talib_recompute_streaming(seed, live, lambda a: TALIB.SMA(a, timeperiod=20))
def pandas_ta_sma_streaming(seed, live):
if PANDAS_TA is None or PD is None:
return None
return _pandas_ta_recompute_streaming(seed, live, lambda s: PANDAS_TA.sma(s, length=20))
def tulipy_sma_streaming(seed, live):
if TULIPY is None:
return None
return _tulipy_recompute_streaming(seed, live, lambda a: TULIPY.sma(a, 20))
def finta_sma_streaming(seed, live):
if FINTA is None or PD is None:
return None
return _finta_recompute_streaming(seed, live, lambda df: FINTA.TA.SMA(df, period=20))
def talib_ema_streaming(seed, live):
if TALIB is None:
return None
return _talib_recompute_streaming(seed, live, lambda a: TALIB.EMA(a, timeperiod=20))
def pandas_ta_ema_streaming(seed, live):
if PANDAS_TA is None or PD is None:
return None
return _pandas_ta_recompute_streaming(seed, live, lambda s: PANDAS_TA.ema(s, length=20))
def tulipy_ema_streaming(seed, live):
if TULIPY is None:
return None
return _tulipy_recompute_streaming(seed, live, lambda a: TULIPY.ema(a, 20))
def finta_ema_streaming(seed, live):
if FINTA is None or PD is None:
return None
return _finta_recompute_streaming(seed, live, lambda df: FINTA.TA.EMA(df, period=20))
def tulipy_rsi_streaming(seed, live):
if TULIPY is None:
return None
return _tulipy_recompute_streaming(seed, live, lambda a: TULIPY.rsi(a, 14))
def finta_rsi_streaming(seed, live):
if FINTA is None or PD is None:
return None
return _finta_recompute_streaming(seed, live, lambda df: FINTA.TA.RSI(df, period=14))
def talib_macd_streaming(seed, live):
if TALIB is None:
return None
return _talib_recompute_streaming(seed, live, lambda a: TALIB.MACD(a))
def pandas_ta_macd_streaming(seed, live):
if PANDAS_TA is None or PD is None:
return None
return _pandas_ta_recompute_streaming(seed, live, lambda s: PANDAS_TA.macd(s))
def tulipy_macd_streaming(seed, live):
if TULIPY is None:
return None
return _tulipy_recompute_streaming(seed, live, lambda a: TULIPY.macd(a, 12, 26, 9))
def finta_macd_streaming(seed, live):
if FINTA is None or PD is None:
return None
return _finta_recompute_streaming(seed, live, lambda df: FINTA.TA.MACD(df))
def talib_bollinger_streaming(seed, live):
if TALIB is None:
return None
return _talib_recompute_streaming(seed, live, lambda a: TALIB.BBANDS(a, timeperiod=20, nbdevup=2, nbdevdn=2))
def pandas_ta_bollinger_streaming(seed, live):
if PANDAS_TA is None or PD is None:
return None
return _pandas_ta_recompute_streaming(seed, live, lambda s: PANDAS_TA.bbands(s, length=20, std=2.0))
def tulipy_bollinger_streaming(seed, live):
if TULIPY is None:
return None
return _tulipy_recompute_streaming(seed, live, lambda a: TULIPY.bbands(a, 20, 2.0))
def finta_bollinger_streaming(seed, live):
if FINTA is None or PD is None:
return None
return _finta_recompute_streaming(seed, live, lambda df: FINTA.TA.BBANDS(df, period=20, std_multiplier=2.0))
# --------------------------------------------------------------------------- #
# Runner
# --------------------------------------------------------------------------- #
@@ -339,6 +632,7 @@ BATCH_INDICATORS = [
("Wickra", wickra_sma_batch),
("TA-Lib", talib_sma_batch),
("pandas-ta", pandas_ta_sma_batch),
("tulipy", tulipy_sma_batch),
("finta", finta_sma_batch),
("talipp", talipp_sma_batch),
]),
@@ -346,6 +640,7 @@ BATCH_INDICATORS = [
("Wickra", wickra_ema_batch),
("TA-Lib", talib_ema_batch),
("pandas-ta", pandas_ta_ema_batch),
("tulipy", tulipy_ema_batch),
("finta", finta_ema_batch),
("talipp", talipp_ema_batch),
]),
@@ -353,6 +648,7 @@ BATCH_INDICATORS = [
("Wickra", wickra_rsi_batch),
("TA-Lib", talib_rsi_batch),
("pandas-ta", pandas_ta_rsi_batch),
("tulipy", tulipy_rsi_batch),
("finta", finta_rsi_batch),
("talipp", talipp_rsi_batch),
]),
@@ -360,6 +656,7 @@ BATCH_INDICATORS = [
("Wickra", wickra_macd_batch),
("TA-Lib", talib_macd_batch),
("pandas-ta", pandas_ta_macd_batch),
("tulipy", tulipy_macd_batch),
("finta", finta_macd_batch),
("talipp", talipp_macd_batch),
]),
@@ -367,6 +664,7 @@ BATCH_INDICATORS = [
("Wickra", wickra_bollinger_batch),
("TA-Lib", talib_bollinger_batch),
("pandas-ta", pandas_ta_bollinger_batch),
("tulipy", tulipy_bollinger_batch),
("finta", finta_bollinger_batch),
("talipp", talipp_bollinger_batch),
]),
@@ -376,29 +674,64 @@ OHLC_INDICATORS = [
("ATR(14)", [
("Wickra", wickra_atr_batch),
("TA-Lib", talib_atr_batch),
("tulipy", tulipy_atr_batch),
("finta", finta_atr_batch),
("talipp", talipp_atr_batch),
]),
]
STREAMING_INDICATORS = [
("SMA(20)", [
("Wickra", wickra_sma_streaming),
("talipp", talipp_sma_streaming),
("TA-Lib", talib_sma_streaming),
("pandas-ta", pandas_ta_sma_streaming),
("tulipy", tulipy_sma_streaming),
("finta", finta_sma_streaming),
]),
("EMA(20)", [
("Wickra", wickra_ema_streaming),
("talipp", talipp_ema_streaming),
("TA-Lib", talib_ema_streaming),
("pandas-ta", pandas_ta_ema_streaming),
("tulipy", tulipy_ema_streaming),
("finta", finta_ema_streaming),
]),
("RSI(14)", [
("Wickra", wickra_rsi_streaming),
("talipp", talipp_rsi_streaming),
("TA-Lib", talib_rsi_streaming),
("pandas-ta", pandas_ta_rsi_streaming),
("talipp", talipp_rsi_streaming),
("tulipy", tulipy_rsi_streaming),
("finta", finta_rsi_streaming),
]),
("MACD(12, 26, 9)", [
("Wickra", wickra_macd_streaming),
("talipp", talipp_macd_streaming),
("TA-Lib", talib_macd_streaming),
("pandas-ta", pandas_ta_macd_streaming),
("tulipy", tulipy_macd_streaming),
("finta", finta_macd_streaming),
]),
("Bollinger(20, 2.0)", [
("Wickra", wickra_bollinger_streaming),
("talipp", talipp_bollinger_streaming),
("TA-Lib", talib_bollinger_streaming),
("pandas-ta", pandas_ta_bollinger_streaming),
("tulipy", tulipy_bollinger_streaming),
("finta", finta_bollinger_streaming),
]),
]
def run_batch(prices: np.ndarray, iterations: int) -> List[Sample]:
def run_batch(prices: np.ndarray, iterations: int, rounds: int) -> List[Sample]:
out: List[Sample] = []
for indicator_name, libs in BATCH_INDICATORS:
for lib_name, factory in libs:
runner = factory(prices)
if runner is None:
continue
secs = time_call(runner, iterations)
secs = time_call(runner, iterations, rounds)
out.append(Sample(lib_name, indicator_name, "batch", secs, iterations))
return out
@@ -408,6 +741,7 @@ def run_ohlc(
low: np.ndarray,
close: np.ndarray,
iterations: int,
rounds: int,
) -> List[Sample]:
out: List[Sample] = []
for indicator_name, libs in OHLC_INDICATORS:
@@ -415,12 +749,12 @@ def run_ohlc(
runner = factory(high, low, close)
if runner is None:
continue
secs = time_call(runner, iterations)
secs = time_call(runner, iterations, rounds)
out.append(Sample(lib_name, indicator_name, "batch", secs, iterations))
return out
def run_streaming(prices: np.ndarray, streaming_window: int, iterations: int) -> List[Sample]:
def run_streaming(prices: np.ndarray, streaming_window: int, iterations: int, rounds: int) -> List[Sample]:
out: List[Sample] = []
seed = prices[:streaming_window]
live = prices[streaming_window:]
@@ -431,7 +765,7 @@ def run_streaming(prices: np.ndarray, streaming_window: int, iterations: int) ->
runner = factory(seed, live)
if runner is None:
continue
secs = time_call(runner, iterations)
secs = time_call(runner, iterations, rounds)
sample = Sample(lib_name, indicator_name, "streaming", secs, iterations)
sample.iterations = iterations * len(live) # per-tick normalization
out.append(sample)
@@ -479,6 +813,12 @@ def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__.splitlines()[0] if __doc__ else None)
parser.add_argument("--size", type=int, default=20_000, help="number of prices")
parser.add_argument("--iterations", type=int, default=20, help="batch repetitions per timing")
parser.add_argument(
"--rounds",
type=int,
default=5,
help="batch timing rounds; the median round is reported to damp jitter",
)
parser.add_argument(
"--streaming-window",
type=int,
@@ -491,6 +831,14 @@ def parse_args() -> argparse.Namespace:
default=3,
help="repetitions of the streaming workload (each iteration replays all live ticks)",
)
parser.add_argument(
"--streaming-rounds",
type=int,
default=2,
help="streaming timing rounds; the median round is reported",
)
parser.add_argument("--skip-batch", action="store_true", help="skip the batch tables")
parser.add_argument("--skip-streaming", action="store_true", help="skip the streaming tables")
return parser.parse_args()
@@ -501,6 +849,7 @@ def main() -> None:
available = []
if TALIB is not None: available.append("TA-Lib")
if PANDAS_TA is not None: available.append("pandas-ta")
if TULIPY is not None: available.append("tulipy")
if FINTA is not None: available.append("finta")
if TALIPP is not None: available.append("talipp")
print(f"Wickra benchmark suite — wickra=v{WICKRA.__version__}")
@@ -509,11 +858,14 @@ def main() -> None:
print(f"Streaming window: {args.streaming_window} seed, {args.size - args.streaming_window} live")
high, low, close, _ = gen_ohlc(args.size)
batch_rows = run_batch(prices, args.iterations)
ohlc_rows = run_ohlc(high, low, close, args.iterations)
streaming_rows = run_streaming(prices, args.streaming_window, args.streaming_iterations)
rows: List[Sample] = []
if not args.skip_batch:
rows += run_batch(prices, args.iterations, args.rounds)
rows += run_ohlc(high, low, close, args.iterations, args.rounds)
if not args.skip_streaming:
rows += run_streaming(prices, args.streaming_window, args.streaming_iterations, args.streaming_rounds)
print(render_table(batch_rows + ohlc_rows + streaming_rows))
print(render_table(rows))
if __name__ == "__main__":
+8 -6
View File
@@ -4,22 +4,23 @@ build-backend = "maturin"
[project]
name = "wickra"
version = "0.1.2"
version = "0.7.7"
description = "Streaming-first technical indicators: incremental, fast, install-free."
readme = "README.md"
license = { text = "PolyForm-Noncommercial-1.0.0" }
license = "MIT OR Apache-2.0"
authors = [{ name = "kingchenc", email = "support@wickra.org" }]
requires-python = ">=3.9"
keywords = ["finance", "trading", "indicators", "technical-analysis", "ta-lib"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Financial and Insurance Industry",
"License :: Free for non-commercial use",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Rust",
"Topic :: Office/Business :: Financial :: Investment",
"Topic :: Scientific/Engineering :: Mathematics",
@@ -38,6 +39,7 @@ bench = [
"pytest-benchmark>=4",
"TA-Lib; platform_system != 'Windows'",
"pandas-ta>=0.3.14b",
"tulipy>=0.4; platform_system != 'Windows'",
"talipp>=2",
"finta>=1.3",
"pandas>=2",
@@ -45,9 +47,9 @@ bench = [
]
[project.urls]
Homepage = "https://github.com/kingchenc/wickra"
Repository = "https://github.com/kingchenc/wickra"
Issues = "https://github.com/kingchenc/wickra/issues"
Homepage = "https://github.com/wickra-lib/wickra"
Repository = "https://github.com/wickra-lib/wickra"
Issues = "https://github.com/wickra-lib/wickra/issues"
[tool.maturin]
manifest-path = "Cargo.toml"
File diff suppressed because it is too large Load Diff
+851
View File
@@ -52,6 +52,642 @@ class WMA:
@property
def value(self) -> Optional[float]: ...
class SMMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class TRIMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class ADL:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class VolumePriceTrend:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class ChaikinMoneyFlow:
def __init__(self, period: int = 20) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class ChaikinOscillator:
def __init__(self, fast: int = 3, slow: int = 10) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
class ForceIndex:
def __init__(self, period: int = 13) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class EaseOfMovement:
def __init__(self, period: int = 14, divisor: float = 100000000.0) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def divisor(self) -> float: ...
class SuperTrend:
def __init__(self, atr_period: int = 10, multiplier: float = 3.0) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[value, direction]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def params(self) -> Tuple[int, float]: ...
class ChandelierExit:
def __init__(self, period: int = 22, multiplier: float = 3.0) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[long_stop, short_stop]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def params(self) -> Tuple[int, float]: ...
class ChandeKrollStop:
def __init__(
self, atr_period: int = 10, atr_multiplier: float = 1.0, stop_period: int = 9
) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[stop_long, stop_short]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def params(self) -> Tuple[int, float, int]: ...
class AtrTrailingStop:
def __init__(self, atr_period: int = 14, multiplier: float = 3.0) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def params(self) -> Tuple[int, float]: ...
class TypicalPrice:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class MedianPrice:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class WeightedClose:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class LinearRegression:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class LinRegSlope:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class AcceleratorOscillator:
def __init__(
self, ao_fast: int = 5, ao_slow: int = 34, signal_period: int = 5
) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def params(self) -> Tuple[int, int, int]: ...
class BalanceOfPower:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
open: NDArray[np.float64],
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class ChoppinessIndex:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class VerticalHorizontalFilter:
def __init__(self, period: int = 28) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class TrueRange:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class ChaikinVolatility:
def __init__(self, ema_period: int = 10, roc_period: int = 10) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
class ZScore:
def __init__(self, period: int = 20) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class LinRegAngle:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class BollingerBandwidth:
def __init__(self, period: int = 20, multiplier: float = 2.0) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def multiplier(self) -> float: ...
@property
def value(self) -> Optional[float]: ...
class PercentB:
def __init__(self, period: int = 20, multiplier: float = 2.0) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def multiplier(self) -> float: ...
@property
def value(self) -> Optional[float]: ...
class NATR:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class StdDev:
def __init__(self, period: int = 20) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class UlcerIndex:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class HistoricalVolatility:
def __init__(self, period: int = 20, trading_periods: int = 252) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class AroonOscillator:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class Vortex:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[plus, minus]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class MassIndex:
def __init__(self, ema_period: int = 9, sum_period: int = 25) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class PPO:
def __init__(self, fast: int = 12, slow: int = 26) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class DPO:
def __init__(self, period: int = 20) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def shift(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class Coppock:
def __init__(
self, roc_long: int = 14, roc_short: int = 11, wma_period: int = 10
) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int, int]: ...
@property
def value(self) -> Optional[float]: ...
class StochRSI:
def __init__(self, rsi_period: int = 14, stoch_period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class UltimateOscillator:
def __init__(self, short: int = 7, mid: int = 14, long: int = 28) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int, int]: ...
@property
def value(self) -> Optional[float]: ...
class MOM:
def __init__(self, period: int = 10) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class CMO:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class TSI:
def __init__(self, long: int = 25, short: int = 13) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class PMO:
def __init__(self, smoothing1: int = 35, smoothing2: int = 20) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class ZLEMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def lag(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class T3:
def __init__(self, period: int, v: float = 0.7) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def volume_factor(self) -> float: ...
@property
def value(self) -> Optional[float]: ...
class VWMA:
def __init__(self, period: int) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class RSI:
def __init__(self, period: int = 14) -> None: ...
def update(self, value: float) -> Optional[float]: ...
@@ -135,3 +771,218 @@ class OBV:
def warmup_period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class DEMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class TEMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class HMA:
def __init__(self, period: int) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class KAMA:
def __init__(self, er_period: int = 10, fast: int = 2, slow: int = 30) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class CCI:
def __init__(self, period: int = 20) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class ROC:
def __init__(self, period: int = 10) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class WilliamsR:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class ADX:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 3)`` with columns ``[plus_di, minus_di, adx]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class MFI:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class TRIX:
def __init__(self, period: int = 30) -> None: ...
def update(self, value: float) -> Optional[float]: ...
def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class PSAR:
def __init__(
self, af_start: float = 0.02, af_step: float = 0.02, af_max: float = 0.20
) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class Keltner:
def __init__(
self, ema_period: int = 20, atr_period: int = 10, multiplier: float = 2.0
) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 3)`` with columns ``[upper, middle, lower]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class Donchian:
def __init__(self, period: int = 20) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 3)`` with columns ``[upper, middle, lower]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class VWAP:
def __init__(self) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class RollingVWAP:
def __init__(self, period: int) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
volume: NDArray[np.float64],
) -> NDArray[np.float64]: ...
@property
def period(self) -> int: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class AwesomeOscillator:
def __init__(self, fast: int = 5, slow: int = 34) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
class Aroon:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[up, down]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
+25633 -144
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