Estratégia RDS de Tendências

using System;
using System.Linq;
using System.Collections.Generic;

using Ecng.Common;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Port of the MetaTrader Trend_RDS expert advisor.
/// Detects three-bar momentum patterns and reverses into the move.
/// Includes configurable stop-loss, take-profit, and trailing management.
/// </summary>
public class TrendRdsReversalStrategy : Strategy
{
	private readonly StrategyParam<decimal> _tradeVolume;
	private readonly StrategyParam<decimal> _stopLossPips;
	private readonly StrategyParam<decimal> _takeProfitPips;
	private readonly StrategyParam<bool> _reverseSignals;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _maxPatternDepth;

	private readonly List<(decimal High, decimal Low)> _recentExtremes = new();

	/// <summary>
	/// Trading volume for market entries.
	/// </summary>
	public decimal TradeVolume
	{
		get => _tradeVolume.Value;
		set => _tradeVolume.Value = value;
	}

	/// <summary>
	/// Stop-loss distance in absolute price units.
	/// </summary>
	public decimal StopLossPips
	{
		get => _stopLossPips.Value;
		set => _stopLossPips.Value = value;
	}

	/// <summary>
	/// Take-profit distance in absolute price units.
	/// </summary>
	public decimal TakeProfitPips
	{
		get => _takeProfitPips.Value;
		set => _takeProfitPips.Value = value;
	}

	/// <summary>
	/// Inverts the buy and sell conditions when enabled.
	/// </summary>
	public bool ReverseSignals
	{
		get => _reverseSignals.Value;
		set => _reverseSignals.Value = value;
	}

	/// <summary>
	/// Candle type processed by the strategy.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	/// <summary>
	/// Maximum number of swings tracked when validating the pattern.
	/// </summary>
	public int MaxPatternDepth
	{
		get => _maxPatternDepth.Value;
		set => _maxPatternDepth.Value = value;
	}

	/// <summary>
	/// Initializes a new instance of the <see cref="TrendRdsReversalStrategy"/> class.
	/// </summary>
	public TrendRdsReversalStrategy()
	{
		_tradeVolume = Param(nameof(TradeVolume), 1m)
			.SetGreaterThanZero()
			.SetDisplay("Trade Volume", "Market order volume", "General");

		_stopLossPips = Param(nameof(StopLossPips), 500m)
			.SetDisplay("Stop Loss", "Stop-loss distance", "Risk");

		_takeProfitPips = Param(nameof(TakeProfitPips), 500m)
			.SetDisplay("Take Profit", "Take-profit distance", "Risk");

		_reverseSignals = Param(nameof(ReverseSignals), false)
			.SetDisplay("Reverse Signals", "Invert buy and sell signals", "Filters");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(8).TimeFrame())
			.SetDisplay("Candle Type", "Working timeframe", "General");

		_maxPatternDepth = Param(nameof(MaxPatternDepth), 10)
			.SetGreaterThanZero()
			.SetDisplay("Max Pattern Depth", "Maximum candles tracked for pattern detection", "General");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		return new[] { (Security, CandleType) };
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_recentExtremes.Clear();
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		// Use a dummy EMA to ensure candle callbacks fire in the backtester
		var ema = new EMA { Length = 5 };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(ema, ProcessCandle)
			.Start();

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawIndicator(area, ema);
			DrawOwnTrades(area);
		}

		// Use StartProtection for SL/TP
		var tp = TakeProfitPips > 0 ? new Unit(TakeProfitPips, UnitTypes.Absolute) : null;
		var sl = StopLossPips > 0 ? new Unit(StopLossPips, UnitTypes.Absolute) : null;
		StartProtection(tp, sl);

		base.OnStarted2(time);
	}

	private void ProcessCandle(ICandleMessage candle, decimal emaValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		// Track recent highs and lows
		_recentExtremes.Insert(0, (candle.HighPrice, candle.LowPrice));
		if (_recentExtremes.Count > MaxPatternDepth + 2)
			_recentExtremes.RemoveAt(_recentExtremes.Count - 1);

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		// Need at least 3 bars for the pattern
		if (_recentExtremes.Count < 3)
			return;

		var (buySignal, sellSignal) = DetectSignals();

		if (buySignal)
		{
			if (Position < 0)
				BuyMarket(Math.Abs(Position));
			if (Position <= 0)
				BuyMarket(Volume);
		}
		else if (sellSignal)
		{
			if (Position > 0)
				SellMarket(Position);
			if (Position >= 0)
				SellMarket(Volume);
		}
	}

	private (bool Buy, bool Sell) DetectSignals()
	{
		var depth = Math.Min(_recentExtremes.Count - 2, MaxPatternDepth);
		if (depth <= 0)
			return (false, false);

		for (var index = 0; index < depth; index++)
		{
			if (index + 2 >= _recentExtremes.Count)
				break;

			var first = _recentExtremes[index];
			var second = _recentExtremes[index + 1];
			var third = _recentExtremes[index + 2];

			// Conflict: both highs and lows rising simultaneously
			var conflict = first.High < second.High && second.High < third.High &&
				first.Low > second.Low && second.Low > third.Low;

			// Rising lows pattern -> buy
			if (!conflict && first.Low > second.Low && second.Low > third.Low)
			{
				return ReverseSignals ? (false, true) : (true, false);
			}

			// Rising highs pattern -> sell
			if (!conflict && first.High < second.High && second.High < third.High)
			{
				return ReverseSignals ? (true, false) : (false, true);
			}
		}

		return (false, false);
	}
}

import clr

clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")

from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates, UnitTypes, Unit
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy

class trend_rds_reversal_strategy(Strategy):
    """Three-bar momentum reversal with EMA filter and StartProtection SL/TP."""
    def __init__(self):
        super(trend_rds_reversal_strategy, self).__init__()
        self._sl = self.Param("StopLoss", 500.0).SetDisplay("Stop Loss", "Stop-loss distance", "Risk")
        self._tp = self.Param("TakeProfit", 500.0).SetDisplay("Take Profit", "Take-profit distance", "Risk")
        self._depth = self.Param("MaxPatternDepth", 10).SetGreaterThanZero().SetDisplay("Pattern Depth", "Max candles for pattern", "General")
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(8))).SetDisplay("Candle Type", "Timeframe", "General")

    @property
    def CandleType(self): return self._candle_type.Value
    @CandleType.setter
    def CandleType(self, value): self._candle_type.Value = value

    def OnReseted(self):
        super(trend_rds_reversal_strategy, self).OnReseted()
        self._extremes = []

    def OnStarted2(self, time):
        super(trend_rds_reversal_strategy, self).OnStarted2(time)
        self._extremes = []

        ema = ExponentialMovingAverage()
        ema.Length = 5

        sub = self.SubscribeCandles(self.CandleType)
        sub.Bind(ema, self.OnProcess).Start()

        tp_val = float(self._tp.Value)
        sl_val = float(self._sl.Value)
        tp = Unit(tp_val, UnitTypes.Absolute) if tp_val > 0 else None
        sl = Unit(sl_val, UnitTypes.Absolute) if sl_val > 0 else None
        self.StartProtection(tp, sl)

        area = self.CreateChartArea()
        if area is not None:
            self.DrawCandles(area, sub)
            self.DrawIndicator(area, ema)
            self.DrawOwnTrades(area)

    def OnProcess(self, candle, ema_val):
        if candle.State != CandleStates.Finished:
            return

        high = float(candle.HighPrice)
        low = float(candle.LowPrice)
        depth = self._depth.Value

        self._extremes.insert(0, (high, low))
        if len(self._extremes) > depth + 2:
            self._extremes.pop()

        if not self.IsFormedAndOnlineAndAllowTrading():
            return

        if len(self._extremes) < 3:
            return

        buy_signal, sell_signal = self._detect_signals()

        if buy_signal:
            if self.Position < 0:
                self.BuyMarket(abs(self.Position))
            if self.Position <= 0:
                self.BuyMarket(self.Volume)
        elif sell_signal:
            if self.Position > 0:
                self.SellMarket(self.Position)
            if self.Position >= 0:
                self.SellMarket(self.Volume)

    def _detect_signals(self):
        depth = min(len(self._extremes) - 2, self._depth.Value)
        if depth <= 0:
            return False, False

        for i in range(depth):
            if i + 2 >= len(self._extremes):
                break
            first = self._extremes[i]
            second = self._extremes[i + 1]
            third = self._extremes[i + 2]

            conflict = (first[0] < second[0] and second[0] < third[0] and
                        first[1] > second[1] and second[1] > third[1])

            # Rising lows -> buy
            if not conflict and first[1] > second[1] and second[1] > third[1]:
                return True, False

            # Rising highs -> sell
            if not conflict and first[0] < second[0] and second[0] < third[0]:
                return False, True

        return False, False

    def CreateClone(self):
        return trend_rds_reversal_strategy()