Rücksetzer-Rebound-Strategie

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;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Rollback Rebound strategy that follows the TST (barabashkakvn's edition) expert advisor logic.
/// The strategy buys after a bullish bar pulls back from its high and sells after a bearish bar rebounds from its low.
/// Protective orders are managed in pips and include optional trailing logic with a rollback filter.
/// </summary>
public class RollbackReboundStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<decimal> _stopLossPips;
	private readonly StrategyParam<decimal> _takeProfitPips;
	private readonly StrategyParam<decimal> _trailingStopPips;
	private readonly StrategyParam<decimal> _trailingStepPips;
	private readonly StrategyParam<decimal> _rollbackRatePips;
	private readonly StrategyParam<bool> _reverseSignal;

	private decimal _pipSize;
	private decimal _stopLossOffset;
	private decimal _takeProfitOffset;
	private decimal _trailingStopOffset;
	private decimal _trailingStepOffset;
	private decimal _rollbackOffset;

	private decimal _longEntryPrice;
	private decimal _longStopPrice;
	private decimal _longTakeProfitPrice;

	private decimal _shortEntryPrice;
	private decimal _shortStopPrice;
	private decimal _shortTakeProfitPrice;

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

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

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

	/// <summary>
	/// Trailing stop distance in pips.
	/// </summary>
	public decimal TrailingStopPips
	{
		get => _trailingStopPips.Value;
		set => _trailingStopPips.Value = value;
	}

	/// <summary>
	/// Additional profit in pips required before the trailing stop moves.
	/// </summary>
	public decimal TrailingStepPips
	{
		get => _trailingStepPips.Value;
		set => _trailingStepPips.Value = value;
	}

	/// <summary>
	/// Pullback threshold in pips to validate signals.
	/// </summary>
	public decimal RollbackRatePips
	{
		get => _rollbackRatePips.Value;
		set => _rollbackRatePips.Value = value;
	}

	/// <summary>
	/// Inverts entry direction.
	/// </summary>
	public bool ReverseSignal
	{
		get => _reverseSignal.Value;
		set => _reverseSignal.Value = value;
	}

	/// <summary>
	/// Initialize parameters with defaults derived from the original MQL expert.
	/// </summary>
	public RollbackReboundStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(8).TimeFrame())
			.SetDisplay("Candle Type", "Candle series used for calculations.", "General");

		_stopLossPips = Param(nameof(StopLossPips), 30m)
			.SetNotNegative()
			.SetDisplay("Stop Loss (pips)", "Distance of the protective stop in pips.", "Risk");

		_takeProfitPips = Param(nameof(TakeProfitPips), 90m)
			.SetNotNegative()
			.SetDisplay("Take Profit (pips)", "Distance of the take profit in pips.", "Risk");

		_trailingStopPips = Param(nameof(TrailingStopPips), 20m)
			.SetNotNegative()
			.SetDisplay("Trailing Stop (pips)", "Trailing stop offset in pips.", "Risk");

		_trailingStepPips = Param(nameof(TrailingStepPips), 15m)
			.SetNotNegative()
			.SetDisplay("Trailing Step (pips)", "Additional profit required before trailing adjusts.", "Risk");

		_rollbackRatePips = Param(nameof(RollbackRatePips), 40m)
			.SetNotNegative()
			.SetDisplay("Rollback Threshold (pips)", "Minimum pullback from the bar extreme to trigger entries.", "Signal");

		_reverseSignal = Param(nameof(ReverseSignal), false)
			.SetDisplay("Reverse Signal", "Invert entry logic (buy becomes sell).", "Signal");
	}

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

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

		_pipSize = 0m;
		_stopLossOffset = 0m;
		_takeProfitOffset = 0m;
		_trailingStopOffset = 0m;
		_trailingStepOffset = 0m;
		_rollbackOffset = 0m;

		ResetLongState();
		ResetShortState();
	}

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

		// Validate that trailing configuration matches the behaviour of the original expert.
		if (TrailingStopPips > 0m && TrailingStepPips <= 0m)
			throw new InvalidOperationException("Trailing step must be greater than zero when trailing stop is enabled.");

		// Convert pip-based parameters into absolute price offsets.
		_pipSize = Security?.PriceStep ?? 1m;
		if (Security != null && (Security.Decimals == 3 || Security.Decimals == 5))
			_pipSize *= 10m;

		_stopLossOffset = StopLossPips * _pipSize;
		_takeProfitOffset = TakeProfitPips * _pipSize;
		_trailingStopOffset = TrailingStopPips * _pipSize;
		_trailingStepOffset = TrailingStepPips * _pipSize;
		_rollbackOffset = RollbackRatePips * _pipSize;

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

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

	private void ProcessCandle(ICandleMessage candle)
	{
		// Work only with finished candles to emulate the IsNewBar check from the MQL expert.
		if (candle.State != CandleStates.Finished)
			return;

		// Update trailing stops and exit conditions before generating new signals.
		ManageOpenPosition(candle);

		// Skip signal generation until the strategy is online and allowed to trade.
		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		// Translate the rollback filters from the original EA using candle statistics.
		var open = candle.OpenPrice;
		var close = candle.ClosePrice;
		var high = candle.HighPrice;
		var low = candle.LowPrice;

		var longCondition = open > close && high - close > _rollbackOffset;
		var shortCondition = close > open && close - low > _rollbackOffset;

		if (ReverseSignal)
		{
			(longCondition, shortCondition) = (shortCondition, longCondition);
		}

		if (longCondition && Position <= 0)
		{
			// Enter long when the rollback condition is met and the strategy is not already in a long position.
			var volume = Volume + Math.Abs(Position);
			if (volume <= 0m)
				return;

			BuyMarket(volume);
			InitializeLongState(candle);
		}
		else if (shortCondition && Position >= 0)
		{
			// Enter short when the bearish rollback occurs and we are not currently short.
			var volume = Volume + Math.Abs(Position);
			if (volume <= 0m)
				return;

			SellMarket(volume);
			InitializeShortState(candle);
		}
	}

	private void ManageOpenPosition(ICandleMessage candle)
	{
		// Mirror the trailing and exit logic from the MetaTrader expert to keep behaviour identical.
		if (Position > 0)
		{
			// Use the candle high as the most optimistic price for long positions.
			var extreme = candle.HighPrice;

			if (_longEntryPrice == 0m)
				// Store the actual entry price once the trade is filled.
				_longEntryPrice = candle.ClosePrice;

			if (_trailingStopOffset > 0m)
			{
				// Apply the trailing algorithm for the active position.
				// Move the stop only when profit exceeds trailing stop plus step, exactly as in the MQL code.
				if (extreme - _longEntryPrice > _trailingStopOffset + _trailingStepOffset)
				{
					var threshold = extreme - (_trailingStopOffset + _trailingStepOffset);
					if (_longStopPrice == 0m || _longStopPrice < threshold)
						_longStopPrice = extreme - _trailingStopOffset;
				}
			}

			if (_longTakeProfitPrice > 0m && candle.HighPrice >= _longTakeProfitPrice)
			{
				// Exit the long position once the take-profit level is touched.
				SellMarket(Math.Abs(Position));
				ResetLongState();
				return;
			}

			if (_longStopPrice > 0m && candle.LowPrice <= _longStopPrice)
			{
				// Close the long position if the initial or trailing stop is triggered.
				SellMarket(Math.Abs(Position));
				ResetLongState();
				return;
			}
		}
		else if (Position < 0)
		{
			// Use the candle low as the best price in favour of the short position.
			var extreme = candle.LowPrice;

			if (_shortEntryPrice == 0m)
				// Capture the short entry price after execution.
				_shortEntryPrice = candle.ClosePrice;

			if (_trailingStopOffset > 0m)
			{
				// Apply the trailing algorithm for short positions.
				// Move the stop only when profit exceeds trailing stop plus step, exactly as in the MQL code.
				if (_shortEntryPrice - extreme > _trailingStopOffset + _trailingStepOffset)
				{
					var threshold = extreme + (_trailingStopOffset + _trailingStepOffset);
					if (_shortStopPrice == 0m || _shortStopPrice > threshold)
						_shortStopPrice = extreme + _trailingStopOffset;
				}
			}

			if (_shortTakeProfitPrice > 0m && candle.LowPrice <= _shortTakeProfitPrice)
			{
				// Exit the short position when the take-profit is hit.
				BuyMarket(Math.Abs(Position));
				ResetShortState();
				return;
			}

			if (_shortStopPrice > 0m && candle.HighPrice >= _shortStopPrice)
			{
				// Cover the short position if the stop level is breached.
				BuyMarket(Math.Abs(Position));
				ResetShortState();
				return;
			}
		}
		else
		{
			// Clear cached levels when no position is open.
			ResetLongState();
			ResetShortState();
		}
	}

	private void InitializeLongState(ICandleMessage candle)
	{
		// Clear short-side state because the strategy operates in netting mode.
		ResetShortState();

		var entry = candle.ClosePrice;
		// Save reference prices for managing the long position.
		_longEntryPrice = entry;
		_longStopPrice = StopLossPips > 0m ? entry - _stopLossOffset : 0m;
		_longTakeProfitPrice = TakeProfitPips > 0m ? entry + _takeProfitOffset : 0m;
	}

	private void InitializeShortState(ICandleMessage candle)
	{
		// Clear long-side state before opening a short position.
		ResetLongState();

		var entry = candle.ClosePrice;
		// Store price references for the short position.
		_shortEntryPrice = entry;
		_shortStopPrice = StopLossPips > 0m ? entry + _stopLossOffset : 0m;
		_shortTakeProfitPrice = TakeProfitPips > 0m ? entry - _takeProfitOffset : 0m;
	}

	private void ResetLongState()
	{
		_longEntryPrice = 0m;
		_longStopPrice = 0m;
		_longTakeProfitPrice = 0m;
	}

	private void ResetShortState()
	{
		_shortEntryPrice = 0m;
		_shortStopPrice = 0m;
		_shortTakeProfitPrice = 0m;
	}
}

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.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *

class rollback_rebound_strategy(Strategy):
    def __init__(self):
        super(rollback_rebound_strategy, self).__init__()
        self._sl_pips = self.Param("StopLossPips", 30.0).SetNotNegative().SetDisplay("Stop Loss (pips)", "SL distance", "Risk")
        self._tp_pips = self.Param("TakeProfitPips", 90.0).SetNotNegative().SetDisplay("Take Profit (pips)", "TP distance", "Risk")
        self._trailing_stop_pips = self.Param("TrailingStopPips", 20.0).SetNotNegative().SetDisplay("Trailing Stop (pips)", "Trailing offset", "Risk")
        self._trailing_step_pips = self.Param("TrailingStepPips", 15.0).SetNotNegative().SetDisplay("Trailing Step (pips)", "Trailing step", "Risk")
        self._rollback_pips = self.Param("RollbackRatePips", 40.0).SetNotNegative().SetDisplay("Rollback Threshold (pips)", "Pullback threshold", "Signal")
        self._reverse_signal = self.Param("ReverseSignal", False).SetDisplay("Reverse Signal", "Invert entry logic", "Signal")
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(8))).SetDisplay("Candle Type", "Candle 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(rollback_rebound_strategy, self).OnReseted()
        self._pip_size = 0
        self._long_entry = 0
        self._long_stop = 0
        self._long_tp = 0
        self._short_entry = 0
        self._short_stop = 0
        self._short_tp = 0

    def OnStarted2(self, time):
        super(rollback_rebound_strategy, self).OnStarted2(time)
        self._pip_size = 1.0
        if self.Security is not None and self.Security.PriceStep is not None and self.Security.PriceStep > 0:
            self._pip_size = float(self.Security.PriceStep)
            if self.Security.Decimals == 3 or self.Security.Decimals == 5:
                self._pip_size *= 10.0

        self._sl_offset = self._sl_pips.Value * self._pip_size
        self._tp_offset = self._tp_pips.Value * self._pip_size
        self._trail_offset = self._trailing_stop_pips.Value * self._pip_size
        self._trail_step_offset = self._trailing_step_pips.Value * self._pip_size
        self._rollback_offset = self._rollback_pips.Value * self._pip_size

        self._long_entry = 0
        self._long_stop = 0
        self._long_tp = 0
        self._short_entry = 0
        self._short_stop = 0
        self._short_tp = 0

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

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

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

        self._manage_position(candle)

        o = candle.OpenPrice
        c = candle.ClosePrice
        h = candle.HighPrice
        l = candle.LowPrice

        long_cond = o > c and h - c > self._rollback_offset
        short_cond = c > o and c - l > self._rollback_offset

        if self._reverse_signal.Value:
            long_cond, short_cond = short_cond, long_cond

        if long_cond and self.Position <= 0:
            vol = self.Volume + abs(self.Position)
            if vol <= 0:
                return
            self.BuyMarket(vol)
            self._short_entry = 0
            self._short_stop = 0
            self._short_tp = 0
            self._long_entry = float(c)
            self._long_stop = self._long_entry - self._sl_offset if self._sl_pips.Value > 0 else 0
            self._long_tp = self._long_entry + self._tp_offset if self._tp_pips.Value > 0 else 0
        elif short_cond and self.Position >= 0:
            vol = self.Volume + abs(self.Position)
            if vol <= 0:
                return
            self.SellMarket(vol)
            self._long_entry = 0
            self._long_stop = 0
            self._long_tp = 0
            self._short_entry = float(c)
            self._short_stop = self._short_entry + self._sl_offset if self._sl_pips.Value > 0 else 0
            self._short_tp = self._short_entry - self._tp_offset if self._tp_pips.Value > 0 else 0

    def _manage_position(self, candle):
        if self.Position > 0:
            extreme = float(candle.HighPrice)
            if self._long_entry == 0:
                self._long_entry = float(candle.ClosePrice)
            if self._trail_offset > 0 and self._long_entry > 0:
                if extreme - self._long_entry > self._trail_offset + self._trail_step_offset:
                    threshold = extreme - (self._trail_offset + self._trail_step_offset)
                    if self._long_stop == 0 or self._long_stop < threshold:
                        self._long_stop = extreme - self._trail_offset
            if self._long_tp > 0 and candle.HighPrice >= self._long_tp:
                self.SellMarket(abs(self.Position))
                self._long_entry = 0
                self._long_stop = 0
                self._long_tp = 0
                return
            if self._long_stop > 0 and candle.LowPrice <= self._long_stop:
                self.SellMarket(abs(self.Position))
                self._long_entry = 0
                self._long_stop = 0
                self._long_tp = 0
                return
        elif self.Position < 0:
            extreme = float(candle.LowPrice)
            if self._short_entry == 0:
                self._short_entry = float(candle.ClosePrice)
            if self._trail_offset > 0 and self._short_entry > 0:
                if self._short_entry - extreme > self._trail_offset + self._trail_step_offset:
                    threshold = extreme + (self._trail_offset + self._trail_step_offset)
                    if self._short_stop == 0 or self._short_stop > threshold:
                        self._short_stop = extreme + self._trail_offset
            if self._short_tp > 0 and candle.LowPrice <= self._short_tp:
                self.BuyMarket(abs(self.Position))
                self._short_entry = 0
                self._short_stop = 0
                self._short_tp = 0
                return
            if self._short_stop > 0 and candle.HighPrice >= self._short_stop:
                self.BuyMarket(abs(self.Position))
                self._short_entry = 0
                self._short_stop = 0
                self._short_tp = 0
                return
        else:
            self._long_entry = 0
            self._long_stop = 0
            self._long_tp = 0
            self._short_entry = 0
            self._short_stop = 0
            self._short_tp = 0

    def CreateClone(self):
        return rollback_rebound_strategy()