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.
This commit is contained in:
kingchenc
2026-06-04 12:00:35 +02:00
committed by GitHub
parent a93af60796
commit fcb221ec03
37 changed files with 6697 additions and 84 deletions
+11 -3
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@@ -14,9 +14,7 @@
//! `Ema(20)`. This target now covers every scalar indicator in the catalogue.
use libfuzzer_sys::fuzz_target;
use wickra_core::{
AdaptiveCycle, Alma, AnchoredRsi, Apo, Autocorrelation, AverageDrawdown, BatchExt, Beta, BollingerBands, CalmarRatio, CenterOfGravity, Cfo, Cmo, CoefficientOfVariation, ConditionalValueAtRisk, ConnorsRsi, Coppock, CyberneticCycle, Decycler, DecyclerOscillator, Dema, DetrendedStdDev, DoubleBollinger, Dpo, DrawdownDuration, EhlersStochastic, ElderImpulse, Ema, EmpiricalModeDecomposition, Fama, FisherTransform, Frama, GainLossRatio, HilbertDominantCycle, HistoricalVolatility, Hma, HtDcPhase, HtPhasor, HtTrendMode, HurstExponent, Indicator, InstantaneousTrendline, InverseFisherTransform, Jma, Kama, KellyCriterion, Kst, Kurtosis, LaguerreRsi, LinRegAngle, LinRegChannel, LinRegIntercept, LinRegSlope, LinearRegression, MaEnvelope, MaType, MacdExt, MacdFix, MacdIndicator, Mama, MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MidPoint, Mom, OmegaRatio, PainIndex, PearsonCorrelation, PercentageTrailingStop, Pmo, Ppo, ProfitFactor, RSquared, RecoveryFactor, RenkoTrailingStop, Roc, Rocp, Rocr, Rocr100, RoofingFilter, Rsi, RviVolatility, SharpeRatio, SineWave, Skewness, Sma, Smma, SortinoRatio, SpearmanCorrelation, StandardError, StandardErrorBands, Stc, StdDev, StepTrailingStop, StochRsi, SuperSmoother, Tema, Tii, Trima, Trix, Tsf, Tsi, UlcerIndex, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, Wma, ZScore, ZeroLagMacd, Zlema, T3
};
use wickra_core::{AdaptiveCycle, Alma, AnchoredRsi, Apo, Autocorrelation, AverageDrawdown, BatchExt, Beta, BollingerBands, CalmarRatio, CenterOfGravity, Cfo, Cmo, CoefficientOfVariation, ConditionalValueAtRisk, ConnorsRsi, Coppock, CyberneticCycle, Decycler, DecyclerOscillator, Dema, DetrendedStdDev, DoubleBollinger, Dpo, DrawdownDuration, EhlersStochastic, ElderImpulse, Ema, EmpiricalModeDecomposition, Expectancy, Fama, FisherTransform, Frama, GainLossRatio, HilbertDominantCycle, HistoricalVolatility, Hma, HtDcPhase, HtPhasor, HtTrendMode, HurstExponent, Indicator, InstantaneousTrendline, InverseFisherTransform, Jma, JumpIndicator, Kama, KellyCriterion, Kst, Kurtosis, LaguerreRsi, LinRegAngle, LinRegChannel, LinRegIntercept, LinRegSlope, LinearRegression, LogReturn, MaEnvelope, MaType, MacdExt, MacdFix, MacdIndicator, Mama, MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MidPoint, Mom, OmegaRatio, PainIndex, PearsonCorrelation, PercentageTrailingStop, Pmo, Ppo, ProfitFactor, RSquared, RealizedVolatility, RecoveryFactor, RegimeLabel, RenkoTrailingStop, Roc, Rocp, Rocr, Rocr100, RollingIqr, RollingPercentileRank, RollingQuantile, RoofingFilter, Rsi, RviVolatility, SharpeRatio, SineWave, Skewness, Sma, Smma, SortinoRatio, SpearmanCorrelation, StandardError, StandardErrorBands, Stc, StdDev, StepTrailingStop, StochRsi, SuperSmoother, Tema, Tii, TrendLabel, Trima, Trix, Tsf, Tsi, UlcerIndex, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, WinRate, Wma, ZScore, ZeroLagMacd, Zlema, T3};
/// Drive a single streaming + batch run through one scalar indicator. Marked
/// `#[inline(never)]` so a panic backtrace pin-points the specific indicator.
@@ -96,6 +94,14 @@ fuzz_target!(|data: Vec<f64>| {
// HurstExponent needs `period >= 2 * chunks`; 16/4 is the cheapest fit
// that still exercises every code path.
drive(|| HurstExponent::new(16, 4).unwrap(), &data);
drive(|| LogReturn::new(1).unwrap(), &data);
drive(|| RealizedVolatility::new(20).unwrap(), &data);
drive(|| RollingQuantile::new(20, 0.5).unwrap(), &data);
drive(|| RollingIqr::new(14).unwrap(), &data);
drive(|| RollingPercentileRank::new(14).unwrap(), &data);
drive(|| TrendLabel::new(14).unwrap(), &data);
drive(|| JumpIndicator::new(20, 3.0).unwrap(), &data);
drive(|| RegimeLabel::new(5, 20).unwrap(), &data);
drive(|| RviVolatility::new(10).unwrap(), &data);
drive(|| LaguerreRsi::new(0.5).unwrap(), &data);
drive(|| ConnorsRsi::classic(), &data);
@@ -157,6 +163,8 @@ fuzz_target!(|data: Vec<f64>| {
drive(|| ProfitFactor::new(20).unwrap(), &data);
drive(|| GainLossRatio::new(20).unwrap(), &data);
drive(|| KellyCriterion::new(20).unwrap(), &data);
drive(|| WinRate::new(20).unwrap(), &data);
drive(|| Expectancy::new(20).unwrap(), &data);
// RecoveryFactor and DrawdownDuration produce non-`f64` outputs / have
// no `period` knob, so they cannot use the `drive` helper directly.
+5 -1
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@@ -22,7 +22,7 @@
//! WeightedClose.
use libfuzzer_sys::fuzz_target;
use wickra_core::{AbandonedBaby, Abcd, AccelerationBands, AcceleratorOscillator, AdOscillator, Adl, AdvanceBlock, Adx, Adxr, Alligator, AnchoredVwap, Aroon, AroonOscillator, Atr, AtrBands, AtrTrailingStop, AutoFib, AverageDailyRange, AwesomeOscillator, AwesomeOscillatorHistogram, BalanceOfPower, Bat, BatchExt, BeltHold, Breakaway, Butterfly, Camarilla, Candle, Cci, ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandelierExit, ChoppinessIndex, ClassicPivots, ClosingMarubozu, ConcealingBabySwallow, Counterattack, Crab, CupAndHandle, Cypher, DayOfWeekProfile, DemandIndex, DemarkPivots, Doji, DojiStar, Donchian, DonchianStop, DoubleTopBottom, DownsideGapThreeMethods, DragonflyDoji, Dx, EaseOfMovement, Engulfing, EveningDojiStar, Evwma, FallingThreeMethods, FibArcs, FibChannel, FibConfluence, FibExtension, FibFan, FibProjection, FibRetracement, FibTimeZones, FibonacciPivots, FlagPennant, ForceIndex, FractalChaosBands, GapSideBySideWhite, GarmanKlassVolatility, Gartley, GoldenPocket, GravestoneDoji, Hammer, HangingMan, Harami, HeadAndShoulders, HeikinAshi, HiLoActivator, HighWave, Hikkake, HikkakeModified, HomingPigeon, HurstChannel, Ichimoku, IdenticalThreeCrows, InNeck, Indicator, Inertia, InitialBalance, IntradayVolatilityProfile, InvertedHammer, Keltner, Kicking, KickingByLength, Kvo, LadderBottom, LongLeggedDoji, LongLine, MarketFacilitationIndex, Marubozu, MassIndex, MatHold, MatchingLow, AvgPrice, MedianPrice, Mfi, MidPrice, MinusDi, MinusDm, MorningDojiStar, MorningEveningStar, Natr, Nvi, Obv, OnNeck, OpeningMarubozu, OpeningRange, OvernightGap, OvernightIntradayReturn, ParkinsonVolatility, Pgo, PiercingDarkCloud, PlusDi, PlusDm, Psar, Pvi, RectangleRange, RickshawMan, RisingThreeMethods, RogersSatchellVolatility, RollingVwap, Rvi, Rwi, SarExt, SeasonalZScore, SeparatingLines, SessionHighLow, SessionRange, SessionVwap, Shark, ShootingStar, ShortLine, Smi, SpinningTop, StalledPattern, StarcBands, StickSandwich, Stochastic, SuperTrend, Takuri, TasukiGap, TdCombo, TdCountdown, TdDeMarker, TdDifferential, TdLines, TdOpen, TdPressure, TdRangeProjection, TdRei, TdRiskLevel, TdSequential, TdSetup, ThreeDrives, ThreeInside, ThreeLineStrike, ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TimeOfDayReturnProfile, TpoProfile, Triangle, TripleTopBottom, TrueRange, Tsv, TtmSqueeze, TurnOfMonth, Tweezer, TwoCrows, TypicalPrice, UltimateOscillator, UniqueThreeRiver, UpsideGapThreeMethods, UpsideGapTwoCrows, ValueArea, VoltyStop, VolumeByTimeProfile, VolumeOscillator, VolumePriceTrend, VolumeProfile, Vortex, Vwap, VwapStdDevBands, Vwma, Vzo, WaveTrend, Wedge, WeightedClose, WilliamsFractals, WilliamsR, WoodiePivots, YangZhangVolatility, YoyoExit, ZigZag};
use wickra_core::{AbandonedBaby, Abcd, AccelerationBands, AcceleratorOscillator, AdOscillator, Adl, AdvanceBlock, Adx, Adxr, Alligator, AnchoredVwap, Aroon, AroonOscillator, Atr, AtrBands, AtrTrailingStop, AutoFib, AverageDailyRange, AwesomeOscillator, AwesomeOscillatorHistogram, BalanceOfPower, Bat, BatchExt, BeltHold, BodySizePct, Breakaway, Butterfly, Camarilla, Candle, Cci, ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandelierExit, ChoppinessIndex, ClassicPivots, CloseVsOpen, ClosingMarubozu, ConcealingBabySwallow, Counterattack, Crab, CupAndHandle, Cypher, DayOfWeekProfile, DemandIndex, DemarkPivots, Doji, DojiStar, Donchian, DonchianStop, DoubleTopBottom, DownsideGapThreeMethods, DragonflyDoji, Dx, EaseOfMovement, Engulfing, EveningDojiStar, Evwma, FallingThreeMethods, FibArcs, FibChannel, FibConfluence, FibExtension, FibFan, FibProjection, FibRetracement, FibTimeZones, FibonacciPivots, FlagPennant, ForceIndex, FractalChaosBands, GapSideBySideWhite, GarmanKlassVolatility, Gartley, GoldenPocket, GravestoneDoji, Hammer, HangingMan, Harami, HeadAndShoulders, HeikinAshi, HiLoActivator, HighLowRange, HighWave, Hikkake, HikkakeModified, HomingPigeon, HurstChannel, Ichimoku, IdenticalThreeCrows, InNeck, Indicator, Inertia, InitialBalance, IntradayVolatilityProfile, InvertedHammer, Keltner, Kicking, KickingByLength, Kvo, LadderBottom, LongLeggedDoji, LongLine, MarketFacilitationIndex, Marubozu, MassIndex, MatHold, MatchingLow, AvgPrice, MedianPrice, Mfi, MidPrice, MinusDi, MinusDm, MorningDojiStar, MorningEveningStar, Natr, Nvi, Obv, OnNeck, OpeningMarubozu, OpeningRange, OvernightGap, OvernightIntradayReturn, ParkinsonVolatility, Pgo, PiercingDarkCloud, PlusDi, PlusDm, Psar, Pvi, RectangleRange, RickshawMan, RisingThreeMethods, RogersSatchellVolatility, RollingVwap, Rvi, Rwi, SarExt, SeasonalZScore, SeparatingLines, SessionHighLow, SessionRange, SessionVwap, Shark, ShootingStar, ShortLine, Smi, SpinningTop, StalledPattern, StarcBands, StickSandwich, Stochastic, SuperTrend, Takuri, TasukiGap, TdCombo, TdCountdown, TdDeMarker, TdDifferential, TdLines, TdOpen, TdPressure, TdRangeProjection, TdRei, TdRiskLevel, TdSequential, TdSetup, ThreeDrives, ThreeInside, ThreeLineStrike, ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TimeOfDayReturnProfile, TpoProfile, Triangle, TripleTopBottom, TrueRange, Tsv, TtmSqueeze, TurnOfMonth, Tweezer, TwoCrows, TypicalPrice, UltimateOscillator, UniqueThreeRiver, UpsideGapThreeMethods, UpsideGapTwoCrows, ValueArea, VoltyStop, VolumeByTimeProfile, VolumeOscillator, VolumePriceTrend, VolumeProfile, Vortex, Vwap, VwapStdDevBands, Vwma, Vzo, WaveTrend, Wedge, WeightedClose, WickRatio, WilliamsFractals, WilliamsR, WoodiePivots, YangZhangVolatility, YoyoExit, ZigZag};
/// Convert a flat `f64` stream into a `Vec<Candle>` by chunking it into
/// `[open, high, low, close, volume]` groups. Tuples that fail OHLCV
@@ -118,6 +118,10 @@ fuzz_target!(|data: Vec<f64>| {
drive(|| AcceleratorOscillator::new(5, 34, 5).unwrap(), &candles);
drive(|| UltimateOscillator::new(7, 14, 28).unwrap(), &candles);
drive(BalanceOfPower::new, &candles);
drive(CloseVsOpen::new, &candles);
drive(BodySizePct::new, &candles);
drive(WickRatio::new, &candles);
drive(HighLowRange::new, &candles);
// --- Volume ---
drive(Obv::new, &candles);
@@ -11,10 +11,7 @@
//! any of them, streaming or batched.
use libfuzzer_sys::fuzz_target;
use wickra_core::{
BatchExt, DepthSlope, Indicator, Level, Microprice, OrderBook, OrderBookImbalanceFull,
OrderBookImbalanceTop1, OrderBookImbalanceTopN, QuotedSpread,
};
use wickra_core::{BatchExt, DepthSlope, Indicator, Level, Microprice, OrderBook, OrderBookImbalanceFull, OrderBookImbalanceTop1, OrderBookImbalanceTopN, OrderFlowImbalance, QuotedSpread};
#[inline(never)]
fn drive<I>(make: impl Fn() -> I, books: &[OrderBook])
@@ -52,4 +49,5 @@ fuzz_target!(|data: &[u8]| {
drive(Microprice::new, &books);
drive(QuotedSpread::new, &books);
drive(DepthSlope::new, &books);
drive(|| OrderFlowImbalance::new(20).unwrap(), &books);
});
+2 -1
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@@ -8,7 +8,7 @@
//! panic.
use libfuzzer_sys::fuzz_target;
use wickra_core::{Alpha, BatchExt, BetaNeutralSpread, Cointegration, DistanceSsd, GrangerCausality, Indicator, InformationRatio, KalmanHedgeRatio, LeadLagCrossCorrelation, OuHalfLife, PairSpreadZScore, PairwiseBeta, RelativeStrengthAB, RollingCorrelation, RollingCovariance, SpreadBollingerBands, SpreadHurst, TreynorRatio, VarianceRatio};
use wickra_core::{Alpha, BatchExt, BetaNeutralSpread, Cointegration, DistanceSsd, GrangerCausality, Indicator, InformationRatio, KalmanHedgeRatio, LeadLagCrossCorrelation, OuHalfLife, PairSpreadZScore, PairwiseBeta, RelativeStrengthAB, RollingCorrelation, RollingCovariance, SpreadAr1Coefficient, SpreadBollingerBands, SpreadHurst, TreynorRatio, VarianceRatio};
#[inline(never)]
fn drive<I>(make: impl Fn() -> I, data: &[(f64, f64)])
@@ -46,6 +46,7 @@ fuzz_target!(|data: &[u8]| {
drive(|| BetaNeutralSpread::new(20).unwrap(), &pairs);
drive(|| VarianceRatio::new(60, 2).unwrap(), &pairs);
drive(|| GrangerCausality::new(60, 1).unwrap(), &pairs);
drive(|| SpreadAr1Coefficient::new(40).unwrap(), &pairs);
// Struct-output pair indicator: drive update + batch directly (the generic
// `drive` above only covers `Output = f64`).
+4 -4
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@@ -10,10 +10,7 @@
//! would reject — the indicators must never panic, streaming or batched.
use libfuzzer_sys::fuzz_target;
use wickra_core::{
BatchExt, CumulativeVolumeDelta, Footprint, Indicator, Side, SignedVolume, Trade,
TradeImbalance,
};
use wickra_core::{AmihudIlliquidity, BatchExt, CumulativeVolumeDelta, Footprint, Indicator, RollMeasure, Side, SignedVolume, Trade, TradeImbalance, Vpin};
#[inline(never)]
fn drive<I>(make: impl Fn() -> I, trades: &[Trade])
@@ -43,6 +40,9 @@ fuzz_target!(|data: &[u8]| {
drive(SignedVolume::new, &trades);
drive(CumulativeVolumeDelta::new, &trades);
drive(|| TradeImbalance::new(5).unwrap(), &trades);
drive(|| Vpin::new(8.0, 5).unwrap(), &trades);
drive(|| AmihudIlliquidity::new(20).unwrap(), &trades);
drive(|| RollMeasure::new(20).unwrap(), &trades);
// Footprint emits a variable-length `FootprintOutput` rather than an `f64`,
// so it is driven directly rather than through the scalar-output helper.