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.
218 lines
12 KiB
Markdown
218 lines
12 KiB
Markdown
# Changelog
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All notable changes to Wickra are documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Fixed
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- `Psar::is_ready` now matches the convention shared by every other indicator:
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`is_ready() == true` iff a real value has been produced (audit finding R6).
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The previous implementation returned `self.initialised`, which flipped to
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`true` after the seed candle even though the seed candle itself returns
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`None`. A streaming consumer that wrote
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`if ind.is_ready() { use(ind.update(c)?) }` would hit an unexpected `None`
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on the first post-seed update. The fix introduces a `has_emitted` gate set
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when the first `Some` value is returned.
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- `Psar::reset` now restores the compute fields (`prev_high`, `prev_low`,
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`sar`, `ep`) to `f64::NAN` sentinels instead of `0.0` (audit Opus-Bonus 1).
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The fields are gated by `initialised` today, so the `0.0` sentinel never
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leaked into output — but a future refactor that read them pre-init would
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have silently treated `0.0` as a real price. A `debug_assert!` at the read
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site makes the invariant explicit.
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### Changed
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- Fuzz suite expanded from 2 indicators to the full catalogue (audit finding
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R9). The existing `indicator_update` target now exercises every scalar-input
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indicator (~33 classes including MACD and Bollinger Bands); a new
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`indicator_update_candle` target exercises every candle-input indicator (~37
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classes, including ATR, ADX, Stochastic, PSAR, Keltner, SuperTrend,
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ChandelierExit, AwesomeOscillator, OBV, MFI, VWAP, RollingVWAP, and the rest
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of the volume / volatility / trailing-stop / price-statistics families). Each
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iteration sweeps every indicator through both the streaming `update` loop
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and a full `batch` call so any state-mutation bug surfaces on either path.
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CI gains a `fuzz-smoke` job that runs each of the five targets for 30 s on
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every push and pull-request.
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- `UlcerIndex::update` now tracks the trailing maximum with a monotonically-
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decreasing deque of `(index, price)` pairs instead of scanning the whole
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trailing window on every tick. The indicator now honours the `Indicator`
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trait's O(1)-per-tick contract; values and warmup semantics are unchanged
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(verified by a new adversarial-input test that compares the deque output
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bar-by-bar against a naive O(n) trailing-max scan on strictly increasing,
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strictly decreasing, constant, and sawtooth inputs). The doc comment on
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`warmup_period()` is also corrected: the two windows overlap by one bar, so
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the formula is `2 * period - 1`.
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### Added
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- `RollingVWAP` is now exposed in Python, Node and WASM under that name
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(previously the rolling-window VWAP existed only in the Rust core, even
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though the README's volume-family table already advertised
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`VWAP (cumulative + rolling)`). All four bindings now ship the same
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cumulative `VWAP` plus the finite-window `RollingVWAP(period)`. The wiki page
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`Indicator-Vwap.md` adds Python, Node and WASM examples and drops the
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"Rust-only" caveat.
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- WASM binding now exposes the streaming `update()` method on every candle-input
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indicator: `Adx`, `WilliamsR`, `Cci`, `Mfi`, `Psar`, `Keltner`, `Donchian`,
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`Vwap`, `AwesomeOscillator`, `Aroon`, `Stochastic`, and `Obv`. Multi-output
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indicators (`Adx`, `Keltner`, `Donchian`, `Aroon`, `Stochastic`) return a
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named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
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`{ up, down }`, `{ k, d }`) once warm, or `null` during warmup — matching the
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existing `SuperTrend` convention. Each class also gains `reset()`, `isReady()`
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and `warmupPeriod()`, bringing the WASM surface to full parity with Python
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and Node so browser-side streaming code no longer has to replay `batch()`
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on every tick. `WasmKama` gains the previously missing `warmupPeriod()`.
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- New `wasm-bindgen` integration test exercises `update == batch` plus the full
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lifecycle (`reset` / `isReady` / `warmupPeriod`) for all twelve newly wired
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classes against a deterministic 40-bar synthetic OHLCV stream.
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### Security
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- Upgrade `pyo3` (0.22 → 0.28) and `numpy` (0.22 → 0.28) in the Python binding.
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Fixes [RUSTSEC-2025-0020](https://rustsec.org/advisories/RUSTSEC-2025-0020) —
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a buffer overflow in `PyString::from_object` that affected the published
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Python wheels. The `cargo-deny` ignore entry that previously suppressed the
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advisory has been removed; `cargo deny check` is now clean without
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suppression. Migrated `into_pyarray_bound` to `into_pyarray`,
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`downcast::<PyDict>` to `cast::<PyDict>`, and opted every `#[pyclass]` out of
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the deprecated automatic `FromPyObject` derive via `skip_from_py_object`.
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### Added
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- 46 new technical indicators, taking the library from 25 to 71 and
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reorganising the catalogue into **eight families**, each with at least five
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members. Every indicator is implemented once in the Rust core and wired
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through the Python, Node and WASM bindings, with reference-value tests and a
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dedicated wiki page:
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- Moving Averages: `Smma`, `Trima`, `Zlema`, `T3`, `Vwma`.
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- Momentum Oscillators: `Mom`, `Cmo`, `Tsi`, `Pmo`, `StochRsi`,
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`UltimateOscillator`.
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- Trend & Directional: `AroonOscillator`, `Vortex`, `MassIndex`,
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`ChoppinessIndex`, `VerticalHorizontalFilter`.
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- Price Oscillators: `Ppo`, `Dpo`, `Coppock`, `AcceleratorOscillator`,
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`BalanceOfPower`.
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- Volatility & Bands: `Natr`, `StdDev`, `UlcerIndex`,
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`HistoricalVolatility`, `BollingerBandwidth`, `PercentB`, `TrueRange`,
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`ChaikinVolatility`.
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- Trailing Stops: `SuperTrend`, `ChandelierExit`, `ChandeKrollStop`,
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`AtrTrailingStop`.
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- Volume: `Adl`, `VolumePriceTrend`, `ChaikinMoneyFlow`,
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`ChaikinOscillator`, `ForceIndex`, `EaseOfMovement`.
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- Price Statistics: `TypicalPrice`, `MedianPrice`, `WeightedClose`,
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`LinearRegression`, `LinRegSlope`, `ZScore`, `LinRegAngle`.
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- `TickAggregator::with_gap_fill` — opt-in mode that emits a flat placeholder
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candle for every empty bucket between two ticks, keeping the candle series
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evenly spaced for downstream indicators.
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- CSV reader: a leading UTF-8 byte-order mark is stripped, fields are trimmed,
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and the header is validated against the required OHLCV columns.
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- CI: an `msrv` job that builds and tests the workspace on Rust 1.75 and the
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node binding on Rust 1.77.
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- Community health files: `CONTRIBUTING.md`, `SECURITY.md`,
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`CODE_OF_CONDUCT.md`, issue / pull-request templates, `CODEOWNERS`, and a
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Dependabot configuration.
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- Seven example OHLCV datasets under `examples/data/`, one per timeframe
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(1m / 5m / 15m / 1h / 12h / 1d / 1month), holding real BTCUSDT spot klines,
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alongside the `fetch_btcusdt` example that regenerates them from the
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Binance REST API.
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- `Timeframe::minutes`, `Timeframe::hours` and `Timeframe::days` convenience
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constructors, each building on seconds with a checked-multiplication
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overflow guard.
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### Changed
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- The indicator wiki is reorganised into eight family folders under
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`docs/wiki/indicators/` (`moving-averages/`, `momentum-oscillators/`,
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`trend-directional/`, `price-oscillators/`, `volatility-bands/`,
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`trailing-stops/`, `volume/`, `price-statistics/`); `Indicators-Overview.md`,
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`Home.md` and the README indicator table follow the same eight families.
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- `TickAggregator::push` returns `Result<Vec<Candle>>` (was
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`Result<Option<Candle>>`) so a single tick can yield a closed bar plus gap
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fillers.
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- `Resampler::push` returns `Result<Option<Candle>>`: a candle in a bucket
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earlier than the open bar is now rejected as out of order.
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- Aggregated candles are finalised through the validating `Candle::new`, so a
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volume that overflows to a non-finite value is surfaced as an error instead
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of producing a poisoned candle.
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- All GitHub Actions are pinned to commit SHAs; the four publish jobs run in a
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protected `release` environment.
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- The indicator benchmarks (`crates/wickra/benches/indicators.rs`) now run
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against the checked-in real BTCUSDT 1-minute dataset instead of a synthetic
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price series.
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- Every language's examples now live under a uniform `examples/<lang>/`
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tree: Rust moved into a new `examples/rust/` workspace member crate
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(`wickra-examples`, run via `cargo run -p wickra-examples --bin <name>`),
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Node into `examples/node/` with its own `package.json` linking `wickra` via
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`file:../../bindings/node`, and the WASM browser demos into
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`examples/wasm/`. The bundled BTCUSDT datasets move alongside them at
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`examples/data/`. Six new examples close the cross-language parity matrix:
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streaming demos for Python and Rust; multi-timeframe and parallel-assets
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demos for both Rust and Node.
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- Cross-language data-generator parity: `examples/python/fetch_btcusdt.py`
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(stdlib only: `urllib` + `json` + `csv`) and `examples/node/fetch_btcusdt.js`
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(Node 18+ built-in `fetch`) mirror the Rust `fetch_btcusdt` binary —
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byte-for-byte identical CSV output on the same Binance snapshot.
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- Four additional WebAssembly browser demos under `examples/wasm/`
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alongside the original `index.html`: `backtest.html` (fetch + basket of
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indicators), `live_trading.html` (browser-native `WebSocket` to
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Binance), `multi_timeframe.html` (in-page resample) and
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`parallel_assets.html` + `parallel_worker.js` (module-Worker pool with
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serial-vs-parallel speedup). The cross-language matrix is now closed
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for every cell where the pattern makes sense.
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- Three new wiki pages: `TA-Lib-Migration.md` (full mapping table from
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`talib.X(...)` calls to Wickra), `Cookbook.md` (seven concrete
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strategy recipes — RSI mean reversion, MACD crossover, Bollinger
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breakout, ADX-gated trend, multi-timeframe confirmation, SuperTrend,
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chained indicators) and `FAQ.md`. All three linked from `Home.md`.
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### Fixed
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- `Timeframe::floor` no longer overflows for timestamps near `i64::MIN`.
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- The aggregator rejects same-bucket ticks that arrive out of order instead of
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silently overwriting the bar's close with a stale price.
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- The Binance live stream reconnects with exponential backoff, skips non-kline
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frames, applies a read timeout and message-size limits, and tracks a closed
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flag.
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- Example scripts: `live_trading.py` skips non-kline frames and validates the
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symbol/interval; `backtest.py` and `multi_timeframe.py` report clear errors
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for malformed CSV input.
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## [0.1.4] - 2026-05-21
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### Added
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- GitHub Release runs now attach every built artefact (wheels, sdist, native
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Node binaries, npm-pack tarballs, cargo `.crate` files) to the tag's
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release page.
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## [0.1.3] - 2026-05-21
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### Fixed
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- npm package ships the napi-generated loader and is built with `--platform`
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so the per-platform binary is resolved correctly.
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## [0.1.2] - 2026-05-21
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### Fixed
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- Release pipeline: per-platform idempotent npm publishing with a spam-filter
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retry, and committed `npm/<platform>/` package templates.
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## [0.1.1] - 2026-05-21
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### Fixed
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- Node publish step and coordinated version bump across all bindings.
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## [0.1.0] - 2026-05-21
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### Added
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- Initial release: a streaming-first technical-analysis library with 25
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indicators (SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA, RSI, MACD, ROC, Stochastic,
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CCI, Williams %R, ADX, MFI, TRIX, Aroon, Awesome Oscillator, Bollinger Bands,
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ATR, Keltner Channels, Donchian Channels, Parabolic SAR, OBV, VWAP).
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- Rust core (`wickra-core`), umbrella crate (`wickra`), and a data layer
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(`wickra-data`) with a CSV reader, tick aggregator, resampler, and an
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optional Binance live feed.
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- Bindings for Python, Node.js, and WebAssembly.
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[Unreleased]: https://github.com/kingchenc/wickra/compare/v0.1.4...HEAD
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[0.1.4]: https://github.com/kingchenc/wickra/compare/v0.1.3...v0.1.4
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[0.1.3]: https://github.com/kingchenc/wickra/compare/v0.1.2...v0.1.3
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[0.1.2]: https://github.com/kingchenc/wickra/compare/v0.1.1...v0.1.2
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[0.1.1]: https://github.com/kingchenc/wickra/compare/v0.1.0...v0.1.1
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[0.1.0]: https://github.com/kingchenc/wickra/releases/tag/v0.1.0
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