Estrategia Brandy (C#)

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>
/// Conversion of the Brandy Expert Advisor from MetaTrader 5.
/// Combines two configurable moving averages to generate entries and manages positions with trailing exits.
/// </summary>
public class BrandyStrategy : Strategy
{
	/// <summary>
	/// Supported moving average smoothing methods.
	/// </summary>
	public enum MovingAverageMethods
	{
		/// <summary>
		/// Simple moving average.
		/// </summary>
		Sma,

		/// <summary>
		/// Exponential moving average.
		/// </summary>
		Ema,

		/// <summary>
		/// Smoothed moving average.
		/// </summary>
		Smma,

		/// <summary>
		/// Linear weighted moving average.
		/// </summary>
		Lwma
	}

	/// <summary>
	/// Price sources that can be fed into the moving averages.
	/// </summary>
	public enum AppliedPriceTypes
	{
		/// <summary>
		/// Candle close price.
		/// </summary>
		Close,

		/// <summary>
		/// Candle open price.
		/// </summary>
		Open,

		/// <summary>
		/// Candle high price.
		/// </summary>
		High,

		/// <summary>
		/// Candle low price.
		/// </summary>
		Low,

		/// <summary>
		/// Median price of the candle (high + low) / 2.
		/// </summary>
		Median,

		/// <summary>
		/// Typical price (high + low + close) / 3.
		/// </summary>
		Typical,

		/// <summary>
		/// Weighted price (high + low + 2 * close) / 4.
		/// </summary>
		Weighted
	}
	private readonly StrategyParam<decimal> _tradeVolume;
	private readonly StrategyParam<decimal> _stopLossPips;
	private readonly StrategyParam<decimal> _takeProfitPips;
	private readonly StrategyParam<decimal> _trailingStopPips;
	private readonly StrategyParam<decimal> _trailingStepPips;
	private readonly StrategyParam<int> _maClosePeriod;
	private readonly StrategyParam<int> _maCloseShift;
	private readonly StrategyParam<MovingAverageMethods> _maCloseMethod;
	private readonly StrategyParam<AppliedPriceTypes> _maCloseAppliedPrice;
	private readonly StrategyParam<int> _maCloseSignalBar;
	private readonly StrategyParam<int> _maOpenPeriod;
	private readonly StrategyParam<int> _maOpenShift;
	private readonly StrategyParam<MovingAverageMethods> _maOpenMethod;
	private readonly StrategyParam<AppliedPriceTypes> _maOpenAppliedPrice;
	private readonly StrategyParam<int> _maOpenSignalBar;
	private readonly StrategyParam<DataType> _candleType;

	private DecimalLengthIndicator _maOpenIndicator;
	private DecimalLengthIndicator _maCloseIndicator;
	private decimal _pipSize;
	private readonly List<decimal> _maOpenValues = [];
	private readonly List<decimal> _maCloseValues = [];
	private int _maxOpenQueueSize;
	private int _maxCloseQueueSize;
	private decimal? _entryPrice;
	private decimal? _stopPrice;
	private decimal? _takePrice;

	/// <summary>
	/// Trading volume per order.
	/// </summary>
	public decimal TradeVolume
	{
		get => _tradeVolume.Value;
		set
		{
			_tradeVolume.Value = value;
			Volume = value;
		}
	}

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

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

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

	/// <summary>
	/// Step that defines how far the price must move before the trailing stop is advanced.
	/// </summary>
	public decimal TrailingStepPips
	{
		get => _trailingStepPips.Value;
		set => _trailingStepPips.Value = value;
	}

	/// <summary>
	/// Period of the moving average calculated on the close series.
	/// </summary>
	public int MaClosePeriod
	{
		get => _maClosePeriod.Value;
		set => _maClosePeriod.Value = value;
	}

	/// <summary>
	/// Displacement applied to the moving average calculated on closes.
	/// </summary>
	public int MaCloseShift
	{
		get => _maCloseShift.Value;
		set => _maCloseShift.Value = value;
	}

	/// <summary>
	/// Moving average smoothing method for the close series.
	/// </summary>
	public MovingAverageMethods MaCloseMethod
	{
		get => _maCloseMethod.Value;
		set => _maCloseMethod.Value = value;
	}

	/// <summary>
	/// Price source used by the close moving average.
	/// </summary>
	public AppliedPriceTypes MaCloseAppliedPrice
	{
		get => _maCloseAppliedPrice.Value;
		set => _maCloseAppliedPrice.Value = value;
	}

	/// <summary>
	/// Bar index used as a signal reference for the close moving average.
	/// </summary>
	public int MaCloseSignalBar
	{
		get => _maCloseSignalBar.Value;
		set => _maCloseSignalBar.Value = value;
	}

	/// <summary>
	/// Period of the moving average calculated on the open series.
	/// </summary>
	public int MaOpenPeriod
	{
		get => _maOpenPeriod.Value;
		set => _maOpenPeriod.Value = value;
	}

	/// <summary>
	/// Displacement applied to the moving average calculated on opens.
	/// </summary>
	public int MaOpenShift
	{
		get => _maOpenShift.Value;
		set => _maOpenShift.Value = value;
	}

	/// <summary>
	/// Moving average smoothing method for the open series.
	/// </summary>
	public MovingAverageMethods MaOpenMethod
	{
		get => _maOpenMethod.Value;
		set => _maOpenMethod.Value = value;
	}

	/// <summary>
	/// Price source used by the open moving average.
	/// </summary>
	public AppliedPriceTypes MaOpenAppliedPrice
	{
		get => _maOpenAppliedPrice.Value;
		set => _maOpenAppliedPrice.Value = value;
	}

	/// <summary>
	/// Bar index used as a signal reference for the open moving average.
	/// </summary>
	public int MaOpenSignalBar
	{
		get => _maOpenSignalBar.Value;
		set => _maOpenSignalBar.Value = value;
	}

	/// <summary>
	/// Candle type used to feed the indicators.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	/// <summary>
	/// Initializes a new instance of the <see cref="BrandyStrategy"/> class.
	/// </summary>
	public BrandyStrategy()
	{
		_tradeVolume = Param(nameof(TradeVolume), 0.1m)
		.SetGreaterThanZero()
		.SetDisplay("Trade Volume", "Order size in lots", "General");

		_stopLossPips = Param(nameof(StopLossPips), 50m)
		.SetNotNegative()
		.SetDisplay("Stop Loss (pips)", "Protective stop distance", "Risk");

		_takeProfitPips = Param(nameof(TakeProfitPips), 150m)
		.SetNotNegative()
		.SetDisplay("Take Profit (pips)", "Profit target distance", "Risk");

		_trailingStopPips = Param(nameof(TrailingStopPips), 5m)
		.SetNotNegative()
		.SetDisplay("Trailing Stop (pips)", "Distance for trailing stop", "Risk");

		_trailingStepPips = Param(nameof(TrailingStepPips), 5m)
		.SetNotNegative()
		.SetDisplay("Trailing Step (pips)", "Additional move required before trailing", "Risk");

		_maClosePeriod = Param(nameof(MaClosePeriod), 20)
		.SetGreaterThanZero()
		.SetDisplay("MA Close Period", "Length of MA calculated on close", "Indicators");

		_maCloseShift = Param(nameof(MaCloseShift), 0)
		.SetNotNegative()
		.SetDisplay("MA Close Shift", "Forward shift applied to close MA", "Indicators");

		_maCloseMethod = Param(nameof(MaCloseMethod), MovingAverageMethods.Ema)
		.SetDisplay("MA Close Method", "Smoothing method for close MA", "Indicators");

		_maCloseAppliedPrice = Param(nameof(MaCloseAppliedPrice), AppliedPriceTypes.Close)
		.SetDisplay("MA Close Price", "Price source for close MA", "Indicators");

		_maCloseSignalBar = Param(nameof(MaCloseSignalBar), 0)
		.SetNotNegative()
		.SetDisplay("MA Close Signal Bar", "Reference bar index for close MA", "Indicators");

		_maOpenPeriod = Param(nameof(MaOpenPeriod), 70)
		.SetGreaterThanZero()
		.SetDisplay("MA Open Period", "Length of MA calculated on open", "Indicators");

		_maOpenShift = Param(nameof(MaOpenShift), 0)
		.SetNotNegative()
		.SetDisplay("MA Open Shift", "Forward shift applied to open MA", "Indicators");

		_maOpenMethod = Param(nameof(MaOpenMethod), MovingAverageMethods.Ema)
		.SetDisplay("MA Open Method", "Smoothing method for open MA", "Indicators");

		_maOpenAppliedPrice = Param(nameof(MaOpenAppliedPrice), AppliedPriceTypes.Close)
		.SetDisplay("MA Open Price", "Price source for open MA", "Indicators");

		_maOpenSignalBar = Param(nameof(MaOpenSignalBar), 0)
		.SetNotNegative()
		.SetDisplay("MA Open Signal Bar", "Reference bar index for open MA", "Indicators");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
		.SetDisplay("Candle Type", "Time frame of input candles", "General");

		Volume = _tradeVolume.Value;
	}

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

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

		_maOpenIndicator = null;
		_maCloseIndicator = null;
		_maOpenValues.Clear();
		_maCloseValues.Clear();
		_pipSize = 0m;
		_maxOpenQueueSize = 0;
		_maxCloseQueueSize = 0;
		_entryPrice = null;
		_stopPrice = null;
		_takePrice = null;
	}

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

		if (TrailingStopPips > 0m && TrailingStepPips <= 0m)
		throw new InvalidOperationException("Trailing step must be greater than zero when trailing stop is enabled.");

		_maOpenIndicator = CreateMovingAverage(MaOpenMethod, MaOpenPeriod);
		_maCloseIndicator = CreateMovingAverage(MaCloseMethod, MaClosePeriod);

		UpdatePipSize();
		UpdateQueueSizes();

		Volume = _tradeVolume.Value;

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

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

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

		if (_maOpenIndicator == null || _maCloseIndicator == null)
		return;

		var openSource = GetAppliedPrice(candle, MaOpenAppliedPrice);
		var closeSource = GetAppliedPrice(candle, MaCloseAppliedPrice);

		var maOpenResult = _maOpenIndicator!.Process(new DecimalIndicatorValue(_maOpenIndicator, openSource, candle.OpenTime) { IsFinal = true });
		var maCloseResult = _maCloseIndicator!.Process(new DecimalIndicatorValue(_maCloseIndicator, closeSource, candle.OpenTime) { IsFinal = true });

		if (maOpenResult.IsEmpty || maCloseResult.IsEmpty || !_maOpenIndicator.IsFormed || !_maCloseIndicator.IsFormed)
			return;

		var maOpen = maOpenResult.ToDecimal();
		var maClose = maCloseResult.ToDecimal();

		EnqueueValue(_maOpenValues, maOpen, _maxOpenQueueSize);
		EnqueueValue(_maCloseValues, maClose, _maxCloseQueueSize);

		var maOpenPrev = GetQueueValue(_maOpenValues, 1 + MaOpenShift);
		var maOpenSignal = GetQueueValue(_maOpenValues, MaOpenSignalBar + MaOpenShift);
		var maClosePrev = GetQueueValue(_maCloseValues, 1 + MaCloseShift);
		var maCloseSignal = GetQueueValue(_maCloseValues, MaCloseSignalBar + MaCloseShift);

		if (maOpenPrev is null || maOpenSignal is null || maClosePrev is null || maCloseSignal is null)
		return;

		var longSignal = maOpenPrev > maOpenSignal && maClosePrev > maCloseSignal;
		var shortSignal = maOpenPrev < maOpenSignal && maClosePrev < maCloseSignal;

		if (Position == 0)
		{
			if (longSignal)
			{
				OpenLong(candle.ClosePrice);
			}
			else if (shortSignal)
			{
				OpenShort(candle.ClosePrice);
			}
		}
		else
		{
			ManageOpenPosition(candle, maOpenPrev.Value, maOpenSignal.Value);
		}
	}

	private void OpenLong(decimal price)
	{
		var volume = Volume;
		if (volume <= 0m)
		return;

		_entryPrice = price;
		_stopPrice = StopLossPips > 0m ? price - StopLossPips * _pipSize : null;
		_takePrice = TakeProfitPips > 0m ? price + TakeProfitPips * _pipSize : null;

		BuyMarket(volume);
	}

	private void OpenShort(decimal price)
	{
		var volume = Volume;
		if (volume <= 0m)
		return;

		_entryPrice = price;
		_stopPrice = StopLossPips > 0m ? price + StopLossPips * _pipSize : null;
		_takePrice = TakeProfitPips > 0m ? price - TakeProfitPips * _pipSize : null;

		SellMarket(volume);
	}

	private void ManageOpenPosition(ICandleMessage candle, decimal maOpenPrev, decimal maOpenSignal)
	{
		var position = Position;

		if (position > 0)
		{
			if (maOpenPrev < maOpenSignal)
			{
				SellMarket(position);
				ResetPositionState();
				return;
			}

			UpdateTrailingForLong(candle);

			if (_takePrice.HasValue && candle.HighPrice >= _takePrice.Value)
			{
				SellMarket(position);
				ResetPositionState();
				return;
			}

			if (_stopPrice.HasValue && candle.LowPrice <= _stopPrice.Value)
			{
				SellMarket(position);
				ResetPositionState();
			}
		}
		else if (position < 0)
		{
			if (maOpenPrev > maOpenSignal)
			{
				BuyMarket(-position);
				ResetPositionState();
				return;
			}

			UpdateTrailingForShort(candle);

			if (_takePrice.HasValue && candle.LowPrice <= _takePrice.Value)
			{
				BuyMarket(-position);
				ResetPositionState();
				return;
			}

			if (_stopPrice.HasValue && candle.HighPrice >= _stopPrice.Value)
			{
				BuyMarket(-position);
				ResetPositionState();
			}
		}
		else
		{
			ResetPositionState();
		}
	}

	private void UpdateTrailingForLong(ICandleMessage candle)
	{
		if (TrailingStopPips <= 0m || TrailingStepPips <= 0m || _entryPrice is null)
		return;

		var trailingStop = TrailingStopPips * _pipSize;
		var trailingStep = TrailingStepPips * _pipSize;

		if (trailingStop <= 0m)
		return;

		var currentPrice = candle.ClosePrice;
		var entryPrice = _entryPrice.Value;

		if (currentPrice - entryPrice <= trailingStop + trailingStep)
		return;

		var threshold = currentPrice - (trailingStop + trailingStep);

		if (_stopPrice.HasValue && _stopPrice.Value >= threshold)
		return;

		var newStop = currentPrice - trailingStop;
		if (!_stopPrice.HasValue || newStop > _stopPrice.Value)
		_stopPrice = newStop;
	}

	private void UpdateTrailingForShort(ICandleMessage candle)
	{
		if (TrailingStopPips <= 0m || TrailingStepPips <= 0m || _entryPrice is null)
		return;

		var trailingStop = TrailingStopPips * _pipSize;
		var trailingStep = TrailingStepPips * _pipSize;

		if (trailingStop <= 0m)
		return;

		var currentPrice = candle.ClosePrice;
		var entryPrice = _entryPrice.Value;

		if (entryPrice - currentPrice <= trailingStop + trailingStep)
		return;

		var threshold = currentPrice + trailingStop + trailingStep;

		if (_stopPrice.HasValue && _stopPrice.Value <= threshold)
		return;

		var newStop = currentPrice + trailingStop;
		if (!_stopPrice.HasValue || newStop < _stopPrice.Value)
		_stopPrice = newStop;
	}

	private void ResetPositionState()
	{
		_entryPrice = null;
		_stopPrice = null;
		_takePrice = null;
	}

	private void UpdatePipSize()
	{
		var step = Security?.PriceStep ?? 1m;
		_pipSize = step;
	}

	private void UpdateQueueSizes()
	{
		var shiftOpen = Math.Max(0, MaOpenShift);
		var shiftClose = Math.Max(0, MaCloseShift);
		var openDepth = Math.Max(Math.Max(1 + shiftOpen, MaOpenSignalBar + shiftOpen), MaCloseSignalBar + shiftOpen);
		var closeDepth = Math.Max(1 + shiftClose, 1);

		_maxOpenQueueSize = Math.Max(2, openDepth + 2);
		_maxCloseQueueSize = Math.Max(2, closeDepth + 2);
	}

	private static void EnqueueValue(List<decimal> queue, decimal value, int maxSize)
	{
		queue.Add(value);

		while (queue.Count > maxSize)
			queue.RemoveAt(0);
	}

	private static decimal? GetQueueValue(List<decimal> queue, int indexFromCurrent)
	{
		if (indexFromCurrent < 0)
			return null;

		if (queue.Count <= indexFromCurrent)
			return null;

		var targetIndex = queue.Count - 1 - indexFromCurrent;

		return targetIndex >= 0 && targetIndex < queue.Count
			? queue[targetIndex]
			: null;
	}

	private static DecimalLengthIndicator CreateMovingAverage(MovingAverageMethods method, int length)
	{
		return method switch
		{
		MovingAverageMethods.Sma => new SimpleMovingAverage { Length = length },
		MovingAverageMethods.Ema => new ExponentialMovingAverage { Length = length },
		MovingAverageMethods.Smma => new SmoothedMovingAverage { Length = length },
		MovingAverageMethods.Lwma => new WeightedMovingAverage { Length = length },
		_ => new ExponentialMovingAverage { Length = length }
		};
	}

	private static decimal GetAppliedPrice(ICandleMessage candle, AppliedPriceTypes priceType)
	{
		return priceType switch
		{
			AppliedPriceTypes.Close => candle.ClosePrice,
			AppliedPriceTypes.Open => candle.OpenPrice,
			AppliedPriceTypes.High => candle.HighPrice,
			AppliedPriceTypes.Low => candle.LowPrice,
			AppliedPriceTypes.Median => (candle.HighPrice + candle.LowPrice) / 2m,
			AppliedPriceTypes.Typical => (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3m,
			AppliedPriceTypes.Weighted => (candle.HighPrice + candle.LowPrice + candle.ClosePrice + candle.ClosePrice) / 4m,
			_ => candle.ClosePrice
		};
	}
}

import clr

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

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

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

        self._stop_loss_pips = self.Param("StopLossPips", 50.0)
        self._take_profit_pips = self.Param("TakeProfitPips", 150.0)
        self._trailing_stop_pips = self.Param("TrailingStopPips", 5.0)
        self._trailing_step_pips = self.Param("TrailingStepPips", 5.0)
        self._ma_close_period = self.Param("MaClosePeriod", 20)
        self._ma_close_shift = self.Param("MaCloseShift", 0)
        self._ma_close_signal_bar = self.Param("MaCloseSignalBar", 0)
        self._ma_open_period = self.Param("MaOpenPeriod", 70)
        self._ma_open_shift = self.Param("MaOpenShift", 0)
        self._ma_open_signal_bar = self.Param("MaOpenSignalBar", 0)
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))

        self._ma_open_indicator = None
        self._ma_close_indicator = None
        self._pip_size = 1.0
        self._ma_open_values = []
        self._ma_close_values = []
        self._max_open_queue_size = 2
        self._max_close_queue_size = 2
        self._entry_price = None
        self._stop_price = None
        self._take_price = None

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

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

        self._ma_open_indicator = ExponentialMovingAverage()
        self._ma_open_indicator.Length = self._ma_open_period.Value
        self._ma_close_indicator = ExponentialMovingAverage()
        self._ma_close_indicator.Length = self._ma_close_period.Value

        step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
        self._pip_size = step if step > 0 else 1.0

        shift_open = max(0, self._ma_open_shift.Value)
        shift_close = max(0, self._ma_close_shift.Value)
        open_depth = max(max(1 + shift_open, self._ma_open_signal_bar.Value + shift_open),
                         self._ma_close_signal_bar.Value + shift_open)
        close_depth = max(1 + shift_close, 1)
        self._max_open_queue_size = max(2, open_depth + 2)
        self._max_close_queue_size = max(2, close_depth + 2)

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

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

        if self._ma_open_indicator is None or self._ma_close_indicator is None:
            return

        open_source = float(candle.ClosePrice)
        close_source = float(candle.ClosePrice)

        ma_open_result = process_float(self._ma_open_indicator, Decimal(float(open_source)), candle.OpenTime, True)
        ma_close_result = process_float(self._ma_close_indicator, Decimal(float(close_source)), candle.OpenTime, True)

        if (ma_open_result.IsEmpty or ma_close_result.IsEmpty or
                not self._ma_open_indicator.IsFormed or not self._ma_close_indicator.IsFormed):
            return

        ma_open = float(ma_open_result.Value)
        ma_close = float(ma_close_result.Value)

        self._enqueue_value(self._ma_open_values, ma_open, self._max_open_queue_size)
        self._enqueue_value(self._ma_close_values, ma_close, self._max_close_queue_size)

        ma_open_prev = self._get_queue_value(self._ma_open_values, 1 + self._ma_open_shift.Value)
        ma_open_signal = self._get_queue_value(self._ma_open_values, self._ma_open_signal_bar.Value + self._ma_open_shift.Value)
        ma_close_prev = self._get_queue_value(self._ma_close_values, 1 + self._ma_close_shift.Value)
        ma_close_signal = self._get_queue_value(self._ma_close_values, self._ma_close_signal_bar.Value + self._ma_close_shift.Value)

        if ma_open_prev is None or ma_open_signal is None or ma_close_prev is None or ma_close_signal is None:
            return

        long_signal = ma_open_prev > ma_open_signal and ma_close_prev > ma_close_signal
        short_signal = ma_open_prev < ma_open_signal and ma_close_prev < ma_close_signal

        if self.Position == 0:
            if long_signal:
                self._open_long(float(candle.ClosePrice))
            elif short_signal:
                self._open_short(float(candle.ClosePrice))
        else:
            self._manage_open_position(candle, ma_open_prev, ma_open_signal)

    def _open_long(self, price):
        self._entry_price = price
        self._stop_price = price - self._stop_loss_pips.Value * self._pip_size if self._stop_loss_pips.Value > 0 else None
        self._take_price = price + self._take_profit_pips.Value * self._pip_size if self._take_profit_pips.Value > 0 else None
        self.BuyMarket()

    def _open_short(self, price):
        self._entry_price = price
        self._stop_price = price + self._stop_loss_pips.Value * self._pip_size if self._stop_loss_pips.Value > 0 else None
        self._take_price = price - self._take_profit_pips.Value * self._pip_size if self._take_profit_pips.Value > 0 else None
        self.SellMarket()

    def _manage_open_position(self, candle, ma_open_prev, ma_open_signal):
        if self.Position > 0:
            if ma_open_prev < ma_open_signal:
                self.SellMarket(self.Position)
                self._reset_position_state()
                return
            self._update_trailing_for_long(candle)
            if self._take_price is not None and float(candle.HighPrice) >= self._take_price:
                self.SellMarket(self.Position)
                self._reset_position_state()
                return
            if self._stop_price is not None and float(candle.LowPrice) <= self._stop_price:
                self.SellMarket(self.Position)
                self._reset_position_state()
        elif self.Position < 0:
            if ma_open_prev > ma_open_signal:
                self.BuyMarket(abs(self.Position))
                self._reset_position_state()
                return
            self._update_trailing_for_short(candle)
            if self._take_price is not None and float(candle.LowPrice) <= self._take_price:
                self.BuyMarket(abs(self.Position))
                self._reset_position_state()
                return
            if self._stop_price is not None and float(candle.HighPrice) >= self._stop_price:
                self.BuyMarket(abs(self.Position))
                self._reset_position_state()
        else:
            self._reset_position_state()

    def _update_trailing_for_long(self, candle):
        if self._trailing_stop_pips.Value <= 0 or self._trailing_step_pips.Value <= 0 or self._entry_price is None:
            return
        trailing_stop = self._trailing_stop_pips.Value * self._pip_size
        trailing_step = self._trailing_step_pips.Value * self._pip_size
        current_price = float(candle.ClosePrice)
        if current_price - self._entry_price <= trailing_stop + trailing_step:
            return
        threshold = current_price - (trailing_stop + trailing_step)
        if self._stop_price is not None and self._stop_price >= threshold:
            return
        new_stop = current_price - trailing_stop
        if self._stop_price is None or new_stop > self._stop_price:
            self._stop_price = new_stop

    def _update_trailing_for_short(self, candle):
        if self._trailing_stop_pips.Value <= 0 or self._trailing_step_pips.Value <= 0 or self._entry_price is None:
            return
        trailing_stop = self._trailing_stop_pips.Value * self._pip_size
        trailing_step = self._trailing_step_pips.Value * self._pip_size
        current_price = float(candle.ClosePrice)
        if self._entry_price - current_price <= trailing_stop + trailing_step:
            return
        threshold = current_price + trailing_stop + trailing_step
        if self._stop_price is not None and self._stop_price <= threshold:
            return
        new_stop = current_price + trailing_stop
        if self._stop_price is None or new_stop < self._stop_price:
            self._stop_price = new_stop

    def _reset_position_state(self):
        self._entry_price = None
        self._stop_price = None
        self._take_price = None

    def _enqueue_value(self, queue, value, max_size):
        queue.append(value)
        while len(queue) > max_size:
            queue.pop(0)

    def _get_queue_value(self, queue, index_from_current):
        if index_from_current < 0:
            return None
        if len(queue) <= index_from_current:
            return None
        target = len(queue) - 1 - index_from_current
        if target >= 0 and target < len(queue):
            return queue[target]
        return None

    def OnReseted(self):
        super(brandy_strategy, self).OnReseted()
        self._ma_open_indicator = None
        self._ma_close_indicator = None
        self._pip_size = 1.0
        self._ma_open_values = []
        self._ma_close_values = []
        self._entry_price = None
        self._stop_price = None
        self._take_price = None

    def CreateClone(self):
        return brandy_strategy()