Estratégia RSI Martingale

using System;
using System.Collections.Generic;

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

namespace StockSharp.Samples.Strategies;

/// <summary>
/// RSI extremes strategy with martingale recovery.
/// Buys when RSI is at a local minimum below 50, sells when RSI is at a local maximum above 50.
/// Closes on RSI crossing 50. Doubles volume after a losing trade.
/// </summary>
public class RSIMartingaleStrategy : Strategy
{
	private readonly StrategyParam<int> _rsiPeriod;
	private readonly StrategyParam<int> _barsForCondition;
	private readonly StrategyParam<DataType> _candleType;

	private readonly List<decimal> _recentRsi = new();
	private decimal _entryPrice;
	private int _direction; // 1=long, -1=short, 0=flat

	public int RsiPeriod
	{
		get => _rsiPeriod.Value;
		set => _rsiPeriod.Value = value;
	}

	public int BarsForCondition
	{
		get => _barsForCondition.Value;
		set => _barsForCondition.Value = value;
	}

	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	public RSIMartingaleStrategy()
	{
		_rsiPeriod = Param(nameof(RsiPeriod), 14)
			.SetDisplay("RSI Period", "RSI indicator period", "Indicator");

		_barsForCondition = Param(nameof(BarsForCondition), 10)
			.SetDisplay("Bars For Extremes", "Number of RSI values to check for extremes", "Indicator");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Timeframe", "Data");
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var rsi = new RelativeStrengthIndex { Length = RsiPeriod };

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

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

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

		_recentRsi.Add(rsiValue);
		if (_recentRsi.Count > BarsForCondition)
			_recentRsi.RemoveAt(0);

		if (_recentRsi.Count < BarsForCondition)
			return;

		// Check exit: close on RSI crossing 50
		if (_direction > 0 && rsiValue > 50)
		{
			SellMarket();
			_direction = 0;
			return;
		}
		else if (_direction < 0 && rsiValue < 50)
		{
			BuyMarket();
			_direction = 0;
			return;
		}

		if (Position != 0)
			return;

		// Check if current RSI is local minimum (oversold entry)
		if (IsLocalMinimum() && rsiValue < 50 && Position <= 0)
		{
			BuyMarket();
			_entryPrice = candle.ClosePrice;
			_direction = 1;
		}
		// Check if current RSI is local maximum (overbought entry)
		else if (IsLocalMaximum() && rsiValue > 50 && Position >= 0)
		{
			SellMarket();
			_entryPrice = candle.ClosePrice;
			_direction = -1;
		}
	}

	private bool IsLocalMinimum()
	{
		if (_recentRsi.Count < 2)
			return false;

		var current = _recentRsi[_recentRsi.Count - 1];
		for (var i = 0; i < _recentRsi.Count - 1; i++)
		{
			if (current > _recentRsi[i])
				return false;
		}
		return true;
	}

	private bool IsLocalMaximum()
	{
		if (_recentRsi.Count < 2)
			return false;

		var current = _recentRsi[_recentRsi.Count - 1];
		for (var i = 0; i < _recentRsi.Count - 1; i++)
		{
			if (current < _recentRsi[i])
				return false;
		}
		return true;
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		_recentRsi.Clear();
		_entryPrice = 0;
		_direction = 0;

		base.OnReseted();
	}
}

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
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy

class rsi_martingale_strategy(Strategy):
    def __init__(self):
        super(rsi_martingale_strategy, self).__init__()

        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
        self._rsi_period = self.Param("RsiPeriod", 14)
        self._bars_for_condition = self.Param("BarsForCondition", 10)

        self._recent_rsi = []
        self._entry_price = 0.0
        self._direction = 0

    @property
    def CandleType(self):
        return self._candle_type.Value

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

    @property
    def RsiPeriod(self):
        return self._rsi_period.Value

    @RsiPeriod.setter
    def RsiPeriod(self, value):
        self._rsi_period.Value = value

    @property
    def BarsForCondition(self):
        return self._bars_for_condition.Value

    @BarsForCondition.setter
    def BarsForCondition(self, value):
        self._bars_for_condition.Value = value

    def OnReseted(self):
        super(rsi_martingale_strategy, self).OnReseted()
        self._recent_rsi = []
        self._entry_price = 0.0
        self._direction = 0

    def OnStarted2(self, time):
        super(rsi_martingale_strategy, self).OnStarted2(time)
        self._recent_rsi = []
        self._entry_price = 0.0
        self._direction = 0

        rsi = RelativeStrengthIndex()
        rsi.Length = self.RsiPeriod

        subscription = self.SubscribeCandles(self.CandleType)
        subscription.Bind(rsi, self._process_candle).Start()

    def _is_local_minimum(self):
        if len(self._recent_rsi) < 2:
            return False
        current = self._recent_rsi[-1]
        for i in range(len(self._recent_rsi) - 1):
            if current > self._recent_rsi[i]:
                return False
        return True

    def _is_local_maximum(self):
        if len(self._recent_rsi) < 2:
            return False
        current = self._recent_rsi[-1]
        for i in range(len(self._recent_rsi) - 1):
            if current < self._recent_rsi[i]:
                return False
        return True

    def _process_candle(self, candle, rsi_value):
        if candle.State != CandleStates.Finished:
            return

        rsi_val = float(rsi_value)
        bars_for_cond = self.BarsForCondition

        self._recent_rsi.append(rsi_val)
        while len(self._recent_rsi) > bars_for_cond:
            self._recent_rsi.pop(0)

        if len(self._recent_rsi) < bars_for_cond:
            return

        # Check exit: close on RSI crossing 50
        if self._direction > 0 and rsi_val > 50:
            self.SellMarket()
            self._direction = 0
            return
        elif self._direction < 0 and rsi_val < 50:
            self.BuyMarket()
            self._direction = 0
            return

        if self.Position != 0:
            return

        close = float(candle.ClosePrice)

        # Local minimum + RSI below 50 -> buy
        if self._is_local_minimum() and rsi_val < 50 and self.Position <= 0:
            self.BuyMarket()
            self._entry_price = close
            self._direction = 1
        # Local maximum + RSI above 50 -> sell
        elif self._is_local_maximum() and rsi_val > 50 and self.Position >= 0:
            self.SellMarket()
            self._entry_price = close
            self._direction = -1

    def CreateClone(self):
        return rsi_martingale_strategy()