* Refactoring TradingBotBase.cs + clean architecture * Fix basic tests * Fix tests * Fix workers * Fix open positions * Fix closing position stucking the grain * Fix comments * Refactor candle handling to use IReadOnlyList for chronological order preservation across various components
192 lines
6.3 KiB
C#
192 lines
6.3 KiB
C#
using Managing.Core;
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using Managing.Domain.Candles;
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using Managing.Domain.Indicators;
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using Managing.Domain.Shared.Rules;
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using Managing.Domain.Strategies.Base;
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using Skender.Stock.Indicators;
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using static Managing.Common.Enums;
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namespace Managing.Domain.Strategies.Signals;
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public class StochasticCrossIndicator : IndicatorBase
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{
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public List<LightSignal> Signals { get; set; }
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public StochasticCrossIndicator(
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string name,
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int stochPeriods,
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int signalPeriods,
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int smoothPeriods,
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double kFactor = 3.0,
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double dFactor = 2.0) : base(name, IndicatorType.StochasticCross)
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{
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Signals = new List<LightSignal>();
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StochPeriods = stochPeriods;
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SignalPeriods = signalPeriods;
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SmoothPeriods = smoothPeriods;
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KFactor = kFactor;
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DFactor = dFactor;
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}
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public override List<LightSignal> Run(IReadOnlyList<Candle> candles)
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{
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if (candles.Count <= 10 * StochPeriods.Value + 50)
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{
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return null;
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}
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try
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{
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var stochResults = candles
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.GetStoch(StochPeriods.Value, SmoothPeriods.Value, SignalPeriods.Value)
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.RemoveWarmupPeriods()
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.ToList();
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if (stochResults.Count == 0)
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return null;
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ProcessStochasticSignals(stochResults, candles);
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return Signals.ToList();
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}
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catch (RuleException)
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{
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return null;
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}
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}
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public override List<LightSignal> Run(IReadOnlyList<Candle> candles, IndicatorsResultBase preCalculatedValues)
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{
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if (candles.Count <= 10 * StochPeriods.Value + 50)
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{
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return null;
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}
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try
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{
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// Use pre-calculated Stoch values if available
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List<StochResult> stochResults = null;
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if (preCalculatedValues?.Stoch != null && preCalculatedValues.Stoch.Any())
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{
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// Filter pre-calculated Stoch values to match the candles we're processing
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stochResults = preCalculatedValues.Stoch
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.Where(s => s.K.HasValue && s.D.HasValue && candles.Any(c => c.Date == s.Date))
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.ToList();
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}
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// If no pre-calculated values or they don't match, fall back to regular calculation
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if (stochResults == null || !stochResults.Any())
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{
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return Run(candles);
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}
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ProcessStochasticSignals(stochResults, candles);
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return Signals.ToList();
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}
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catch (RuleException)
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{
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return null;
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}
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}
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/// <summary>
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/// Processes Stochastic signals based on %K/%D crossovers filtered by extreme zones.
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/// Long signals: %K crosses above %D when both lines are below 20 (oversold)
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/// Short signals: %K crosses below %D when both lines are above 80 (overbought)
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/// </summary>
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private void ProcessStochasticSignals(List<StochResult> stochResults, IReadOnlyList<Candle> candles)
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{
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var stochCandles = MapStochToCandle(stochResults, candles.TakeLast(StochPeriods.Value));
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if (stochCandles.Count < 2)
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return;
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var previousCandle = stochCandles[0];
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foreach (var currentCandle in stochCandles.Skip(1))
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{
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// Check for bullish crossover in oversold zone (both %K and %D < 20)
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if (previousCandle.PercentK < 20 && previousCandle.PercentD < 20 &&
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currentCandle.PercentK >= 20 && currentCandle.PercentD < 20)
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{
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// %K crossed above %D in oversold zone
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if (previousCandle.PercentK < previousCandle.PercentD &&
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currentCandle.PercentK >= currentCandle.PercentD)
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{
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AddSignal(currentCandle, TradeDirection.Long, Confidence.Medium);
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}
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}
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// Check for bearish crossover in overbought zone (both %K and %D > 80)
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else if (previousCandle.PercentK > 80 && previousCandle.PercentD > 80 &&
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currentCandle.PercentK <= 80 && currentCandle.PercentD > 80)
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{
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// %K crossed below %D in overbought zone
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if (previousCandle.PercentK > previousCandle.PercentD &&
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currentCandle.PercentK <= currentCandle.PercentD)
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{
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AddSignal(currentCandle, TradeDirection.Short, Confidence.Medium);
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}
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}
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previousCandle = currentCandle;
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}
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}
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public override IndicatorsResultBase GetIndicatorValues(IReadOnlyList<Candle> candles)
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{
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return new IndicatorsResultBase()
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{
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Stoch = candles.GetStoch(StochPeriods.Value, SmoothPeriods.Value, SignalPeriods.Value)
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.ToList()
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};
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}
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private List<CandleStoch> MapStochToCandle(IEnumerable<StochResult> stochResults, IEnumerable<Candle> candles)
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{
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var stochCandles = new List<CandleStoch>();
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foreach (var candle in candles)
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{
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var currentStoch = stochResults.Find(candle.Date);
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if (currentStoch != null && currentStoch.K.HasValue && currentStoch.D.HasValue)
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{
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stochCandles.Add(new CandleStoch()
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{
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Close = candle.Close,
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Open = candle.Open,
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Date = candle.Date,
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Ticker = candle.Ticker,
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Exchange = candle.Exchange,
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PercentK = currentStoch.K.Value,
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PercentD = currentStoch.D.Value
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});
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}
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}
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return stochCandles;
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}
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private void AddSignal(CandleStoch candleSignal, TradeDirection direction, Confidence confidence)
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{
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var signal = new LightSignal(
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candleSignal.Ticker,
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direction,
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confidence,
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candleSignal,
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candleSignal.Date,
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candleSignal.Exchange,
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Type,
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SignalType,
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Name);
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if (!Signals.Any(s => s.Identifier == signal.Identifier))
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{
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Signals.AddItem(signal);
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}
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}
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private class CandleStoch : Candle
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{
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public double PercentK { get; internal set; }
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public double PercentD { get; internal set; }
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}
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}
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