Стратегия Surfing 3.0

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

using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;

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

using StockSharp.Algo;
using StockSharp.Algo.Candles;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Strategy that reproduces the Surfing 3.0 expert advisor logic from MetaTrader.
/// </summary>
public class Surfing30Strategy : Strategy
{
	private readonly StrategyParam<decimal> _orderVolume;
	private readonly StrategyParam<int> _takeProfitPoints;
	private readonly StrategyParam<int> _stopLossPoints;
	private readonly StrategyParam<int> _maPeriod;
	private readonly StrategyParam<int> _rsiPeriod;
	private readonly StrategyParam<decimal> _longRsiThreshold;
	private readonly StrategyParam<decimal> _shortRsiThreshold;
	private readonly StrategyParam<int> _tradeStartHour;
	private readonly StrategyParam<int> _tradeEndHour;
	private readonly StrategyParam<DataType> _candleType;

	private RelativeStrengthIndex _rsi = null!;

	private decimal? _previousClose;
	private decimal? _previousHighEma;
	private decimal? _previousLowEma;

	private decimal? _stopLossPrice;
	private decimal? _takeProfitPrice;

	/// <summary>
	/// Initialize <see cref="Surfing30Strategy"/>.
	/// </summary>
	public Surfing30Strategy()
	{
		_orderVolume = Param(nameof(OrderVolume), 1m)
			.SetGreaterThanZero()
			.SetDisplay("Order Volume", "Volume applied to every trade.", "Trading")
			
			.SetOptimize(0.1m, 5m, 0.1m);

		_takeProfitPoints = Param(nameof(TakeProfitPoints), 80)
			.SetNotNegative()
			.SetDisplay("Take Profit Points", "Distance to the take profit in instrument points.", "Risk Management")
			
			.SetOptimize(10, 200, 10);

		_stopLossPoints = Param(nameof(StopLossPoints), 50)
			.SetNotNegative()
			.SetDisplay("Stop Loss Points", "Distance to the stop loss in instrument points.", "Risk Management")
			
			.SetOptimize(10, 150, 10);

		_maPeriod = Param(nameof(MaPeriod), 50)
			.SetRange(1, 1000)
			.SetDisplay("EMA Period", "Length of the exponential moving averages calculated over highs and lows.", "Indicators")
			
			.SetOptimize(10, 120, 5);

		_rsiPeriod = Param(nameof(RsiPeriod), 10)
			.SetRange(1, 1000)
			.SetDisplay("RSI Period", "Length of the RSI filter.", "Indicators")
			
			.SetOptimize(5, 30, 1);

		_longRsiThreshold = Param(nameof(LongRsiThreshold), 30m)
			.SetDisplay("Long RSI Threshold", "Minimum RSI value required for long entries.", "Filters")
			
			.SetOptimize(20m, 60m, 5m);

		_shortRsiThreshold = Param(nameof(ShortRsiThreshold), 70m)
			.SetDisplay("Short RSI Threshold", "Maximum RSI value allowed for short entries.", "Filters")
			
			.SetOptimize(40m, 80m, 5m);

		_tradeStartHour = Param(nameof(TradeStartHour), 0)
			.SetDisplay("Trade Start Hour", "Hour of the day when new trades may start.", "Sessions")
			;

		_tradeEndHour = Param(nameof(TradeEndHour), 23)
			.SetDisplay("Trade End Hour", "Hour of the day when all positions are closed.", "Sessions")
			;

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
			.SetDisplay("Candle Type", "Aggregation used for calculations.", "Data");
	}

	/// <summary>
	/// Volume used for every trade.
	/// </summary>
	public decimal OrderVolume
	{
		get => _orderVolume.Value;
		set
		{
			_orderVolume.Value = value;
			Volume = value;
		}
	}

	/// <summary>
	/// Distance to the take profit in instrument points.
	/// </summary>
	public int TakeProfitPoints
	{
		get => _takeProfitPoints.Value;
		set => _takeProfitPoints.Value = value;
	}

	/// <summary>
	/// Distance to the stop loss in instrument points.
	/// </summary>
	public int StopLossPoints
	{
		get => _stopLossPoints.Value;
		set => _stopLossPoints.Value = value;
	}

	/// <summary>
	/// Length of the exponential moving averages calculated over candle highs and lows.
	/// </summary>
	public int MaPeriod
	{
		get => _maPeriod.Value;
		set => _maPeriod.Value = value;
	}

	/// <summary>
	/// Length of the RSI filter.
	/// </summary>
	public int RsiPeriod
	{
		get => _rsiPeriod.Value;
		set => _rsiPeriod.Value = value;
	}

	/// <summary>
	/// Minimum RSI value required for long entries.
	/// </summary>
	public decimal LongRsiThreshold
	{
		get => _longRsiThreshold.Value;
		set => _longRsiThreshold.Value = value;
	}

	/// <summary>
	/// Maximum RSI value allowed for short entries.
	/// </summary>
	public decimal ShortRsiThreshold
	{
		get => _shortRsiThreshold.Value;
		set => _shortRsiThreshold.Value = value;
	}

	/// <summary>
	/// Hour of the day when new trades may start.
	/// </summary>
	public int TradeStartHour
	{
		get => _tradeStartHour.Value;
		set => _tradeStartHour.Value = value;
	}

	/// <summary>
	/// Hour of the day when all positions are closed.
	/// </summary>
	public int TradeEndHour
	{
		get => _tradeEndHour.Value;
		set => _tradeEndHour.Value = value;
	}

	/// <summary>
	/// Candle aggregation used for calculations.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

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

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

		_previousClose = null;
		_previousHighEma = null;
		_previousLowEma = null;
		_stopLossPrice = null;
		_takeProfitPrice = null;
	}

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

		Volume = OrderVolume;

		var sma = new SimpleMovingAverage { Length = MaPeriod };
		_rsi = new RelativeStrengthIndex { Length = RsiPeriod };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(sma, _rsi, ProcessCandle)
			.Start();
	}

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

		var currentClose = candle.ClosePrice;

		if (ManageActivePosition(candle))
		{
			UpdateHistory(currentClose, smaValue, smaValue);
			return;
		}

		if (_previousClose is null || _previousHighEma is null)
		{
			UpdateHistory(currentClose, smaValue, smaValue);
			return;
		}

		var previousClose = _previousClose.Value;
		var previousSma = _previousHighEma.Value;

		var buySignal = previousClose <= previousSma && currentClose > smaValue && rsiValue > LongRsiThreshold;
		var sellSignal = previousClose >= previousSma && currentClose < smaValue && rsiValue < ShortRsiThreshold;

		if (buySignal && Position <= 0)
		{
			if (Position < 0)
			{
				CloseCurrentPosition();
				ResetTargets();
			}

			BuyMarket(OrderVolume);
			SetTargets(currentClose, true);
		}
		else if (sellSignal && Position >= 0)
		{
			if (Position > 0)
			{
				CloseCurrentPosition();
				ResetTargets();
			}

			SellMarket(OrderVolume);
			SetTargets(currentClose, false);
		}

		UpdateHistory(currentClose, smaValue, smaValue);
	}

	private bool ManageActivePosition(ICandleMessage candle)
	{
		if (Position > 0)
		{
			if (_stopLossPrice is not null && candle.LowPrice <= _stopLossPrice)
			{
				CloseCurrentPosition();
				ResetTargets();
				return true;
			}

			if (_takeProfitPrice is not null && candle.HighPrice >= _takeProfitPrice)
			{
				CloseCurrentPosition();
				ResetTargets();
				return true;
			}
		}
		else if (Position < 0)
		{
			if (_stopLossPrice is not null && candle.HighPrice >= _stopLossPrice)
			{
				CloseCurrentPosition();
				ResetTargets();
				return true;
			}

			if (_takeProfitPrice is not null && candle.LowPrice <= _takeProfitPrice)
			{
				CloseCurrentPosition();
				ResetTargets();
				return true;
			}
		}

		return false;
	}

	private void CloseCurrentPosition()
	{
		if (Position > 0m)
			SellMarket(Position);
		else if (Position < 0m)
			BuyMarket(Math.Abs(Position));
	}

	private void SetTargets(decimal entryPrice, bool isLong)
	{
		var priceStep = Security?.PriceStep ?? 0m;
		if (priceStep <= 0m)
			priceStep = 1m;

		if (isLong)
		{
			_stopLossPrice = StopLossPoints > 0 ? entryPrice - StopLossPoints * priceStep : null;
			_takeProfitPrice = TakeProfitPoints > 0 ? entryPrice + TakeProfitPoints * priceStep : null;
		}
		else
		{
			_stopLossPrice = StopLossPoints > 0 ? entryPrice + StopLossPoints * priceStep : null;
			_takeProfitPrice = TakeProfitPoints > 0 ? entryPrice - TakeProfitPoints * priceStep : null;
		}
	}

	private void ResetTargets()
	{
		_stopLossPrice = null;
		_takeProfitPrice = null;
	}

	private void UpdateHistory(decimal currentClose, decimal currentHighEma, decimal currentLowEma)
	{
		_previousClose = currentClose;
		_previousHighEma = currentHighEma;
		_previousLowEma = currentLowEma;
	}

	private void ResetHistory()
	{
		_previousClose = null;
		_previousHighEma = null;
		_previousLowEma = null;
	}

	private bool IsWithinTradeHours(DateTimeOffset time)
	{
		var startHour = TradeStartHour;
		var endHour = TradeEndHour;

		if (endHour <= startHour)
			return time.Hour >= startHour || time.Hour < endHour;

		return time.Hour >= startHour && time.Hour < endHour;
	}
}

import clr

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

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

class surfing_30_strategy(Strategy):
    def __init__(self):
        super(surfing_30_strategy, self).__init__()
        self._order_volume = self.Param("OrderVolume", 1.0)
        self._tp_points = self.Param("TakeProfitPoints", 80)
        self._sl_points = self.Param("StopLossPoints", 50)
        self._ma_period = self.Param("MaPeriod", 50)
        self._rsi_period = self.Param("RsiPeriod", 10)
        self._long_rsi = self.Param("LongRsiThreshold", 30.0)
        self._short_rsi = self.Param("ShortRsiThreshold", 70.0)
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15)))

        self._prev_close = None
        self._prev_sma = None
        self._sl_price = None
        self._tp_price = None

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

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

    @property
    def OrderVolume(self):
        return self._order_volume.Value

    @OrderVolume.setter
    def OrderVolume(self, value):
        self._order_volume.Value = value

    def OnReseted(self):
        super(surfing_30_strategy, self).OnReseted()
        self._prev_close = None
        self._prev_sma = None
        self._sl_price = None
        self._tp_price = None

    def OnStarted2(self, time):
        super(surfing_30_strategy, self).OnStarted2(time)

        self.Volume = float(self.OrderVolume)

        sma = SimpleMovingAverage()
        sma.Length = self._ma_period.Value
        rsi = RelativeStrengthIndex()
        rsi.Length = self._rsi_period.Value

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

    def _close_current_position(self):
        if self.Position > 0:
            self.SellMarket(float(self.Position))
        elif self.Position < 0:
            self.BuyMarket(abs(float(self.Position)))

    def _set_targets(self, entry_price, is_long):
        price_step = 1.0
        if self.Security is not None and self.Security.PriceStep is not None and float(self.Security.PriceStep) > 0:
            price_step = float(self.Security.PriceStep)

        sl_pts = int(self._sl_points.Value)
        tp_pts = int(self._tp_points.Value)

        if is_long:
            self._sl_price = entry_price - sl_pts * price_step if sl_pts > 0 else None
            self._tp_price = entry_price + tp_pts * price_step if tp_pts > 0 else None
        else:
            self._sl_price = entry_price + sl_pts * price_step if sl_pts > 0 else None
            self._tp_price = entry_price - tp_pts * price_step if tp_pts > 0 else None

    def _reset_targets(self):
        self._sl_price = None
        self._tp_price = None

    def _manage_active_position(self, candle):
        if self.Position > 0:
            if self._sl_price is not None and float(candle.LowPrice) <= self._sl_price:
                self._close_current_position()
                self._reset_targets()
                return True
            if self._tp_price is not None and float(candle.HighPrice) >= self._tp_price:
                self._close_current_position()
                self._reset_targets()
                return True
        elif self.Position < 0:
            if self._sl_price is not None and float(candle.HighPrice) >= self._sl_price:
                self._close_current_position()
                self._reset_targets()
                return True
            if self._tp_price is not None and float(candle.LowPrice) <= self._tp_price:
                self._close_current_position()
                self._reset_targets()
                return True
        return False

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

        close = float(candle.ClosePrice)
        sma_v = float(sma_val)
        rsi_v = float(rsi_val)

        if self._manage_active_position(candle):
            self._prev_close = close
            self._prev_sma = sma_v
            return

        if self._prev_close is None or self._prev_sma is None:
            self._prev_close = close
            self._prev_sma = sma_v
            return

        prev_close = self._prev_close
        prev_sma = self._prev_sma

        buy_signal = prev_close <= prev_sma and close > sma_v and rsi_v > float(self._long_rsi.Value)
        sell_signal = prev_close >= prev_sma and close < sma_v and rsi_v < float(self._short_rsi.Value)

        if buy_signal and self.Position <= 0:
            if self.Position < 0:
                self._close_current_position()
                self._reset_targets()
            self.BuyMarket(float(self.OrderVolume))
            self._set_targets(close, True)
        elif sell_signal and self.Position >= 0:
            if self.Position > 0:
                self._close_current_position()
                self._reset_targets()
            self.SellMarket(float(self.OrderVolume))
            self._set_targets(close, False)

        self._prev_close = close
        self._prev_sma = sma_v

    def CreateClone(self):
        return surfing_30_strategy()