Стратегия Alexav D1 Profit GBPUSD

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>
/// Alexav D1 Profit breakout strategy.
/// Buys when price breaks above EMA and RSI is rising.
/// Sells when price breaks below EMA and RSI is falling.
/// </summary>
public class AlexavD1ProfitGbpUsdBreakoutStrategy : Strategy
{
	private readonly StrategyParam<int> _emaPeriod;
	private readonly StrategyParam<int> _rsiPeriod;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevClose;
	private decimal _prevEma;
	private decimal _prevRsi;
	private bool _hasPrev;

	public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
	public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public AlexavD1ProfitGbpUsdBreakoutStrategy()
	{
		_emaPeriod = Param(nameof(EmaPeriod), 20)
			.SetDisplay("EMA Period", "EMA period", "Indicators");

		_rsiPeriod = Param(nameof(RsiPeriod), 14)
			.SetDisplay("RSI Period", "RSI period", "Indicators");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Candle timeframe", "General");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_prevClose = 0m;
		_prevEma = 0m;
		_prevRsi = 0m;
		_hasPrev = false;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_hasPrev = false;

		var ema = new ExponentialMovingAverage { Length = EmaPeriod };
		var rsi = new RelativeStrengthIndex { Length = RsiPeriod };

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

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

		var close = candle.ClosePrice;

		if (!_hasPrev)
		{
			_prevClose = close;
			_prevEma = emaValue;
			_prevRsi = rsiValue;
			_hasPrev = true;
			return;
		}

		// Breakout above EMA with rising RSI
		if (_prevClose <= _prevEma && close > emaValue && rsiValue > _prevRsi && Position <= 0)
		{
			if (Position < 0)
				BuyMarket();
			BuyMarket();
		}
		// Breakout below EMA with falling RSI
		else if (_prevClose >= _prevEma && close < emaValue && rsiValue < _prevRsi && Position >= 0)
		{
			if (Position > 0)
				SellMarket();
			SellMarket();
		}

		_prevClose = close;
		_prevEma = emaValue;
		_prevRsi = rsiValue;
	}
}

import clr

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

from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy


class alexav_d1_profit_gbp_usd_breakout_strategy(Strategy):
    """Alexav D1 Profit breakout strategy.
    Buys when price breaks above EMA and RSI is rising.
    Sells when price breaks below EMA and RSI is falling."""

    def __init__(self):
        super(alexav_d1_profit_gbp_usd_breakout_strategy, self).__init__()

        self._ema_period = self.Param("EmaPeriod", 20) \
            .SetDisplay("EMA Period", "EMA period", "Indicators")
        self._rsi_period = self.Param("RsiPeriod", 14) \
            .SetDisplay("RSI Period", "RSI period", "Indicators")
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
            .SetDisplay("Candle Type", "Candle timeframe", "General")

        self._prev_close = 0.0
        self._prev_ema = 0.0
        self._prev_rsi = 0.0
        self._has_prev = False

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

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

    @property
    def EmaPeriod(self):
        return self._ema_period.Value

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

    def OnReseted(self):
        super(alexav_d1_profit_gbp_usd_breakout_strategy, self).OnReseted()
        self._prev_close = 0.0
        self._prev_ema = 0.0
        self._prev_rsi = 0.0
        self._has_prev = False

    def OnStarted2(self, time):
        super(alexav_d1_profit_gbp_usd_breakout_strategy, self).OnStarted2(time)

        self._has_prev = False

        ema = ExponentialMovingAverage()
        ema.Length = self.EmaPeriod
        rsi = RelativeStrengthIndex()
        rsi.Length = self.RsiPeriod

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

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

        close = float(candle.ClosePrice)
        ema_val = float(ema_value)
        rsi_val = float(rsi_value)

        if not self._has_prev:
            self._prev_close = close
            self._prev_ema = ema_val
            self._prev_rsi = rsi_val
            self._has_prev = True
            return

        # Breakout above EMA with rising RSI
        if self._prev_close <= self._prev_ema and close > ema_val and rsi_val > self._prev_rsi and self.Position <= 0:
            if self.Position < 0:
                self.BuyMarket()
            self.BuyMarket()
        # Breakout below EMA with falling RSI
        elif self._prev_close >= self._prev_ema and close < ema_val and rsi_val < self._prev_rsi and self.Position >= 0:
            if self.Position > 0:
                self.SellMarket()
            self.SellMarket()

        self._prev_close = close
        self._prev_ema = ema_val
        self._prev_rsi = rsi_val

    def CreateClone(self):
        return alexav_d1_profit_gbp_usd_breakout_strategy()