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>
This commit is contained in:
kingchenc
@@ -250,6 +250,11 @@ const candleScalar = {
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GravestoneDoji: { make: () => new wickra.GravestoneDoji(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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LongLeggedDoji: { make: () => new wickra.LongLeggedDoji(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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RickshawMan: { make: () => new wickra.RickshawMan(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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EveningDojiStar: { make: () => new wickra.EveningDojiStar(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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MorningDojiStar: { make: () => new wickra.MorningDojiStar(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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GapSideBySideWhite: { make: () => new wickra.GapSideBySideWhite(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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HighWave: { make: () => new wickra.HighWave(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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Hikkake: { make: () => new wickra.Hikkake(), step: (ind, i) => ind.update(open[i], high[i], low[i], close[i]), batch: (ind) => ind.batch(open, high, low, close) },
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};
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for (const [name, d] of Object.entries(candleScalar)) {
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Vendored
+45
@@ -2345,6 +2345,51 @@ export declare class RickshawMan {
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isReady(): boolean
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warmupPeriod(): number
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}
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export type EveningDojiStarNode = EveningDojiStar
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export declare class EveningDojiStar {
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constructor()
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update(open: number, high: number, low: number, close: number): number | null
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batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>): Array<number>
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reset(): void
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isReady(): boolean
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warmupPeriod(): number
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}
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export type MorningDojiStarNode = MorningDojiStar
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export declare class MorningDojiStar {
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constructor()
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update(open: number, high: number, low: number, close: number): number | null
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batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>): Array<number>
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reset(): void
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isReady(): boolean
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warmupPeriod(): number
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}
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export type GapSideBySideWhiteNode = GapSideBySideWhite
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export declare class GapSideBySideWhite {
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constructor()
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update(open: number, high: number, low: number, close: number): number | null
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batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>): Array<number>
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reset(): void
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isReady(): boolean
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warmupPeriod(): number
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}
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export type HighWaveNode = HighWave
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export declare class HighWave {
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constructor()
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update(open: number, high: number, low: number, close: number): number | null
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batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>): Array<number>
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reset(): void
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isReady(): boolean
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warmupPeriod(): number
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}
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export type HikkakeNode = Hikkake
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export declare class Hikkake {
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constructor()
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update(open: number, high: number, low: number, close: number): number | null
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batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>): Array<number>
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reset(): void
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isReady(): boolean
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warmupPeriod(): number
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}
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export type OrderBookImbalanceTop1Node = OrderBookImbalanceTop1
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export declare class OrderBookImbalanceTop1 {
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constructor()
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@@ -310,7 +310,7 @@ if (!nativeBinding) {
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throw new Error(`Failed to load native binding`)
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}
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const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, MOM, CMO, DPO, StdDev, UlcerIndex, VerticalHorizontalFilter, ZScore, McGinleyDynamic, FRAMA, SuperSmoother, FisherTransform, Decycler, CenterOfGravity, CyberneticCycle, InstantaneousTrendline, EhlersStochastic, RVIVolatility, Variance, CoefficientOfVariation, Skewness, Kurtosis, StandardError, DetrendedStdDev, RSquared, MedianAbsoluteDeviation, Autocorrelation, HurstExponent, PearsonCorrelation, Beta, PairwiseBeta, SpearmanCorrelation, PairSpreadZScore, LeadLagCrossCorrelation, Cointegration, RelativeStrengthAB, MACD, BollingerBands, ATR, Stochastic, OBV, ADX, ADXR, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, RollingVWAP, AwesomeOscillator, Aroon, Inertia, ConnorsRSI, LaguerreRSI, SMI, KST, PGO, RVI, AwesomeOscillatorHistogram, STC, ElderImpulse, ZeroLagMACD, CFO, APO, KAMA, EVWMA, Alligator, JMA, VIDYA, ALMA, T3, TSI, PMO, TII, ADL, VolumePriceTrend, ChaikinMoneyFlow, ChaikinOscillator, ForceIndex, NVI, PVI, VolumeOscillator, KVO, WilliamsAD, AnchoredVWAP, DemandIndex, TSV, VZO, MarketFacilitationIndex, EaseOfMovement, SuperTrend, ChandelierExit, ChandeKrollStop, AtrTrailingStop, HiLoActivator, VoltyStop, YoyoExit, DonchianStop, PercentageTrailingStop, StepTrailingStop, RenkoTrailingStop, TypicalPrice, MedianPrice, WeightedClose, LinearRegression, LinRegSlope, AcceleratorOscillator, BalanceOfPower, ChoppinessIndex, TrueRange, ChaikinVolatility, YangZhangVolatility, RogersSatchellVolatility, GarmanKlassVolatility, ParkinsonVolatility, LinRegAngle, BollingerBandwidth, PercentB, NATR, HistoricalVolatility, AroonOscillator, WaveTrend, RWI, Vortex, MassIndex, StochRSI, UltimateOscillator, PPO, Coppock, VWMA, MaEnvelope, AccelerationBands, StarcBands, AtrBands, HurstChannel, LinRegChannel, StandardErrorBands, DoubleBollinger, TtmSqueeze, FractalChaosBands, VwapStdDevBands, ClassicPivots, FibonacciPivots, Camarilla, WoodiePivots, DemarkPivots, WilliamsFractals, ZigZag, TDSetup, TDSequential, TDDeMarker, TDREI, TDPressure, TDCombo, TDCountdown, TDLines, TDRangeProjection, TDDifferential, TDOpen, TDRiskLevel, InverseFisherTransform, DecyclerOscillator, RoofingFilter, EmpiricalModeDecomposition, HilbertDominantCycle, AdaptiveCycle, SineWave, MAMA, FAMA, Ichimoku, HeikinAshi, ValueArea, InitialBalance, OpeningRange, Doji, Hammer, InvertedHammer, HangingMan, ShootingStar, Engulfing, Harami, MorningEveningStar, ThreeSoldiersOrCrows, PiercingDarkCloud, Marubozu, Tweezer, SpinningTop, ThreeInside, ThreeOutside, TwoCrows, UpsideGapTwoCrows, IdenticalThreeCrows, ThreeLineStrike, ThreeStarsInSouth, AbandonedBaby, AdvanceBlock, BeltHold, Breakaway, Counterattack, DojiStar, DragonflyDoji, GravestoneDoji, LongLeggedDoji, RickshawMan, OrderBookImbalanceTop1, OrderBookImbalanceFull, Microprice, QuotedSpread, DepthSlope, OrderBookImbalanceTopN, SignedVolume, CumulativeVolumeDelta, TradeImbalance, EffectiveSpread, RealizedSpread, KylesLambda, Footprint, FundingRate, FundingRateMean, FundingRateZScore, FundingBasis, OpenInterestDelta, OIPriceDivergence, OIWeighted, LongShortRatio, TakerBuySellRatio, LiquidationFeatures, TermStructureBasis, CalendarSpread, SharpeRatio, SortinoRatio, CalmarRatio, OmegaRatio, MaxDrawdown, AverageDrawdown, DrawdownDuration, PainIndex, ValueAtRisk, ConditionalValueAtRisk, ProfitFactor, GainLossRatio, RecoveryFactor, KellyCriterion, TreynorRatio, InformationRatio, Alpha } = nativeBinding
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const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, MOM, CMO, DPO, StdDev, UlcerIndex, VerticalHorizontalFilter, ZScore, McGinleyDynamic, FRAMA, SuperSmoother, FisherTransform, Decycler, CenterOfGravity, CyberneticCycle, InstantaneousTrendline, EhlersStochastic, RVIVolatility, Variance, CoefficientOfVariation, Skewness, Kurtosis, StandardError, DetrendedStdDev, RSquared, MedianAbsoluteDeviation, Autocorrelation, HurstExponent, PearsonCorrelation, Beta, PairwiseBeta, SpearmanCorrelation, PairSpreadZScore, LeadLagCrossCorrelation, Cointegration, RelativeStrengthAB, MACD, BollingerBands, ATR, Stochastic, OBV, ADX, ADXR, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, RollingVWAP, AwesomeOscillator, Aroon, Inertia, ConnorsRSI, LaguerreRSI, SMI, KST, PGO, RVI, AwesomeOscillatorHistogram, STC, ElderImpulse, ZeroLagMACD, CFO, APO, KAMA, EVWMA, Alligator, JMA, VIDYA, ALMA, T3, TSI, PMO, TII, ADL, VolumePriceTrend, ChaikinMoneyFlow, ChaikinOscillator, ForceIndex, NVI, PVI, VolumeOscillator, KVO, WilliamsAD, AnchoredVWAP, DemandIndex, TSV, VZO, MarketFacilitationIndex, EaseOfMovement, SuperTrend, ChandelierExit, ChandeKrollStop, AtrTrailingStop, HiLoActivator, VoltyStop, YoyoExit, DonchianStop, PercentageTrailingStop, StepTrailingStop, RenkoTrailingStop, TypicalPrice, MedianPrice, WeightedClose, LinearRegression, LinRegSlope, AcceleratorOscillator, BalanceOfPower, ChoppinessIndex, TrueRange, ChaikinVolatility, YangZhangVolatility, RogersSatchellVolatility, GarmanKlassVolatility, ParkinsonVolatility, LinRegAngle, BollingerBandwidth, PercentB, NATR, HistoricalVolatility, AroonOscillator, WaveTrend, RWI, Vortex, MassIndex, StochRSI, UltimateOscillator, PPO, Coppock, VWMA, MaEnvelope, AccelerationBands, StarcBands, AtrBands, HurstChannel, LinRegChannel, StandardErrorBands, DoubleBollinger, TtmSqueeze, FractalChaosBands, VwapStdDevBands, ClassicPivots, FibonacciPivots, Camarilla, WoodiePivots, DemarkPivots, WilliamsFractals, ZigZag, TDSetup, TDSequential, TDDeMarker, TDREI, TDPressure, TDCombo, TDCountdown, TDLines, TDRangeProjection, TDDifferential, TDOpen, TDRiskLevel, InverseFisherTransform, DecyclerOscillator, RoofingFilter, EmpiricalModeDecomposition, HilbertDominantCycle, AdaptiveCycle, SineWave, MAMA, FAMA, Ichimoku, HeikinAshi, ValueArea, InitialBalance, OpeningRange, Doji, Hammer, InvertedHammer, HangingMan, ShootingStar, Engulfing, Harami, MorningEveningStar, ThreeSoldiersOrCrows, PiercingDarkCloud, Marubozu, Tweezer, SpinningTop, ThreeInside, ThreeOutside, TwoCrows, UpsideGapTwoCrows, IdenticalThreeCrows, ThreeLineStrike, ThreeStarsInSouth, AbandonedBaby, AdvanceBlock, BeltHold, Breakaway, Counterattack, DojiStar, DragonflyDoji, GravestoneDoji, LongLeggedDoji, RickshawMan, EveningDojiStar, MorningDojiStar, GapSideBySideWhite, HighWave, Hikkake, OrderBookImbalanceTop1, OrderBookImbalanceFull, Microprice, QuotedSpread, DepthSlope, OrderBookImbalanceTopN, SignedVolume, CumulativeVolumeDelta, TradeImbalance, EffectiveSpread, RealizedSpread, KylesLambda, Footprint, FundingRate, FundingRateMean, FundingRateZScore, FundingBasis, OpenInterestDelta, OIPriceDivergence, OIWeighted, LongShortRatio, TakerBuySellRatio, LiquidationFeatures, TermStructureBasis, CalendarSpread, SharpeRatio, SortinoRatio, CalmarRatio, OmegaRatio, MaxDrawdown, AverageDrawdown, DrawdownDuration, PainIndex, ValueAtRisk, ConditionalValueAtRisk, ProfitFactor, GainLossRatio, RecoveryFactor, KellyCriterion, TreynorRatio, InformationRatio, Alpha } = nativeBinding
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module.exports.version = version
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module.exports.SMA = SMA
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@@ -530,6 +530,11 @@ module.exports.DragonflyDoji = DragonflyDoji
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module.exports.GravestoneDoji = GravestoneDoji
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module.exports.LongLeggedDoji = LongLeggedDoji
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module.exports.RickshawMan = RickshawMan
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module.exports.EveningDojiStar = EveningDojiStar
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module.exports.MorningDojiStar = MorningDojiStar
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module.exports.GapSideBySideWhite = GapSideBySideWhite
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module.exports.HighWave = HighWave
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module.exports.Hikkake = Hikkake
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module.exports.OrderBookImbalanceTop1 = OrderBookImbalanceTop1
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module.exports.OrderBookImbalanceFull = OrderBookImbalanceFull
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module.exports.Microprice = Microprice
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@@ -8780,6 +8780,15 @@ node_candle_pattern!(DragonflyDojiNode, wc::DragonflyDoji, "DragonflyDoji");
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node_candle_pattern!(GravestoneDojiNode, wc::GravestoneDoji, "GravestoneDoji");
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node_candle_pattern!(LongLeggedDojiNode, wc::LongLeggedDoji, "LongLeggedDoji");
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node_candle_pattern!(RickshawManNode, wc::RickshawMan, "RickshawMan");
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node_candle_pattern!(EveningDojiStarNode, wc::EveningDojiStar, "EveningDojiStar");
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node_candle_pattern!(MorningDojiStarNode, wc::MorningDojiStar, "MorningDojiStar");
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node_candle_pattern!(
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GapSideBySideWhiteNode,
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wc::GapSideBySideWhite,
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"GapSideBySideWhite"
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);
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node_candle_pattern!(HighWaveNode, wc::HighWave, "HighWave");
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node_candle_pattern!(HikkakeNode, wc::Hikkake, "Hikkake");
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// ============================== Microstructure: Order Book ==============================
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//
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@@ -255,6 +255,11 @@ from ._wickra import (
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GravestoneDoji,
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LongLeggedDoji,
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RickshawMan,
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EveningDojiStar,
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MorningDojiStar,
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GapSideBySideWhite,
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HighWave,
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Hikkake,
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# Microstructure: order book
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OrderBookImbalanceTop1,
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OrderBookImbalanceTopN,
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@@ -537,6 +542,11 @@ __all__ = [
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"GravestoneDoji",
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"LongLeggedDoji",
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"RickshawMan",
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"EveningDojiStar",
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"MorningDojiStar",
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"GapSideBySideWhite",
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"HighWave",
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"Hikkake",
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# Microstructure: order book
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"OrderBookImbalanceTop1",
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"OrderBookImbalanceTopN",
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@@ -11643,6 +11643,15 @@ candle_pattern_no_param!(PyDragonflyDoji, wc::DragonflyDoji, "DragonflyDoji");
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candle_pattern_no_param!(PyGravestoneDoji, wc::GravestoneDoji, "GravestoneDoji");
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candle_pattern_no_param!(PyLongLeggedDoji, wc::LongLeggedDoji, "LongLeggedDoji");
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candle_pattern_no_param!(PyRickshawMan, wc::RickshawMan, "RickshawMan");
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candle_pattern_no_param!(PyEveningDojiStar, wc::EveningDojiStar, "EveningDojiStar");
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candle_pattern_no_param!(PyMorningDojiStar, wc::MorningDojiStar, "MorningDojiStar");
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candle_pattern_no_param!(
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PyGapSideBySideWhite,
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wc::GapSideBySideWhite,
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"GapSideBySideWhite"
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);
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candle_pattern_no_param!(PyHighWave, wc::HighWave, "HighWave");
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candle_pattern_no_param!(PyHikkake, wc::Hikkake, "Hikkake");
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// ============================== Microstructure: Order Book ==============================
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//
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// Order-book indicators consume a depth snapshot rather than OHLCV. Streaming
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@@ -14154,6 +14163,11 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
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m.add_class::<PyGravestoneDoji>()?;
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m.add_class::<PyLongLeggedDoji>()?;
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m.add_class::<PyRickshawMan>()?;
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m.add_class::<PyEveningDojiStar>()?;
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m.add_class::<PyMorningDojiStar>()?;
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m.add_class::<PyGapSideBySideWhite>()?;
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m.add_class::<PyHighWave>()?;
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m.add_class::<PyHikkake>()?;
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// Microstructure: order book.
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m.add_class::<PyOrderBookImbalanceTop1>()?;
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m.add_class::<PyOrderBookImbalanceTopN>()?;
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@@ -583,6 +583,26 @@ CANDLE_SCALAR = {
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lambda: ta.RickshawMan(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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"EveningDojiStar": (
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lambda: ta.EveningDojiStar(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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"MorningDojiStar": (
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lambda: ta.MorningDojiStar(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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"GapSideBySideWhite": (
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lambda: ta.GapSideBySideWhite(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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"HighWave": (
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lambda: ta.HighWave(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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"Hikkake": (
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lambda: ta.Hikkake(),
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lambda ind, h, l, c, v: ind.batch(c, h, l, c),
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),
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}
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@@ -1731,6 +1751,39 @@ def test_rickshaw_man_reference():
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t = ta.RickshawMan()
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assert t.update((10.0, 12.0, 8.0, 10.0, 1.0, 0)) == pytest.approx(1.0)
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def test_evening_doji_star_reference():
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t = ta.EveningDojiStar()
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assert t.update((10.0, 15.1, 9.9, 15.0, 1.0, 0)) == pytest.approx(0.0)
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assert t.update((17.0, 17.1, 16.9, 17.0, 1.0, 1)) == pytest.approx(0.0)
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assert t.update((16.0, 16.1, 11.9, 12.0, 1.0, 2)) == pytest.approx(-1.0)
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def test_morning_doji_star_reference():
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t = ta.MorningDojiStar()
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assert t.update((15.0, 15.1, 9.9, 10.0, 1.0, 0)) == pytest.approx(0.0)
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assert t.update((8.0, 8.1, 7.9, 8.0, 1.0, 1)) == pytest.approx(0.0)
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assert t.update((9.0, 13.1, 8.9, 13.0, 1.0, 2)) == pytest.approx(1.0)
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def test_gap_side_by_side_white_reference():
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t = ta.GapSideBySideWhite()
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assert t.update((10.0, 11.1, 9.9, 11.0, 1.0, 0)) == pytest.approx(0.0)
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assert t.update((13.0, 14.1, 12.9, 14.0, 1.0, 1)) == pytest.approx(0.0)
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assert t.update((13.0, 14.1, 12.9, 14.0, 1.0, 2)) == pytest.approx(1.0)
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def test_high_wave_reference():
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t = ta.HighWave()
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assert t.update((10.0, 12.0, 8.0, 10.3, 1.0, 0)) == pytest.approx(1.0)
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def test_hikkake_reference():
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t = ta.Hikkake()
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assert t.update((10.0, 15.0, 5.0, 12.0, 1.0, 0)) == pytest.approx(0.0)
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assert t.update((11.0, 13.0, 8.0, 12.0, 1.0, 1)) == pytest.approx(0.0)
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assert t.update((9.0, 12.0, 6.0, 7.0, 1.0, 2)) == pytest.approx(1.0)
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# --- Lifecycle ------------------------------------------------------------
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@@ -6357,6 +6357,15 @@ wasm_candle_pattern!(WasmDragonflyDoji, wc::DragonflyDoji, DragonflyDoji);
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wasm_candle_pattern!(WasmGravestoneDoji, wc::GravestoneDoji, GravestoneDoji);
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wasm_candle_pattern!(WasmLongLeggedDoji, wc::LongLeggedDoji, LongLeggedDoji);
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wasm_candle_pattern!(WasmRickshawMan, wc::RickshawMan, RickshawMan);
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wasm_candle_pattern!(WasmEveningDojiStar, wc::EveningDojiStar, EveningDojiStar);
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wasm_candle_pattern!(WasmMorningDojiStar, wc::MorningDojiStar, MorningDojiStar);
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wasm_candle_pattern!(
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WasmGapSideBySideWhite,
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wc::GapSideBySideWhite,
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GapSideBySideWhite
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);
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wasm_candle_pattern!(WasmHighWave, wc::HighWave, HighWave);
|
||||
wasm_candle_pattern!(WasmHikkake, wc::Hikkake, Hikkake);
|
||||
|
||||
// ============================== Microstructure: Order Book ==============================
|
||||
//
|
||||
|
||||
Reference in New Issue
Block a user