Commit Graph

27 Commits

Author SHA1 Message Date
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 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 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 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 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 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 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 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 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 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 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 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 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