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Estratégia de Padrão Borboleta

Visão geral

A Estratégia de Padrão Borboleta converte a lógica de padrão harmônico original MetaTrader "Cypher EA" em StockSharp de alto nível API. A estratégia verifica uma série de velas configuráveis ​​em busca de formações borboleta de alta e baixa, valida as proporções harmônicas e abre posições de mercado com três metas de lucro em estágios. Recursos opcionais de gerenciamento de risco refletem o especialista MetaTrader: bloqueio de ponto de equilíbrio e atualizações de trailing stop estão disponíveis após saídas parciais.

Como funciona

  1. As velas são armazenadas em buffer até que um ponto de pivô possa ser confirmado usando a janela PivotLeft/PivotRight.
  2. Quando cinco pivôs alternados estão disponíveis, a estratégia verifica as proporções Fibonacci necessárias para um padrão borboleta.
  3. As configurações qualificadas são revalidadas (opcional) e avaliadas por um índice de qualidade harmônica (MinPatternQuality).
  4. Assim que um padrão for confirmado em uma vela fechada:
    • Uma ordem de mercado é colocada usando volume fixo ou dimensionamento baseado em risco.
    • O volume da posição é dividido entre três níveis de take-profit (TP1/TP2/TP3).
    • Um stop-loss geométrico é derivado da estrutura do padrão.
  5. Durante a vida útil da posição, a estratégia monitora velas para acionar saídas parciais, bloqueio de ponto de equilíbrio e ajustes finais de acordo com os limites configurados.

Dica: A versão MetaTrader funciona com vários intervalos de tempo simultaneamente. Para replicar esse comportamento em StockSharp, inicie várias instâncias da estratégia com valores CandleType diferentes.

Parâmetros principais

Parâmetro Descrição
CandleType Prazo usado para detectar pivôs e padrões.
PivotLeft / PivotRight Número de velas à esquerda/direita necessárias para confirmar um pivô alto/baixo.
Tolerance Desvio máximo da relação harmônica permitido na validação do padrão borboleta.
AllowTrading Ativa ou desativa a geração de pedidos após uma confirmação de padrão.
UseFixedVolume / FixedVolume Força um volume de comércio constante. Quando desativada, a estratégia dimensiona as posições via RiskPercent.
RiskPercent Porcentagem do valor do portfólio arriscado por negociação (usado somente quando UseFixedVolume é falso).
AdjustLotsForTakeProfits Normaliza os volumes parciais para garantir que a soma corresponda ao tamanho da entrada.
Tp1Percent / Tp2Percent / Tp3Percent Distribuição do volume total entre os três níveis de take-profit.
MinPatternQuality Pontuação harmônica mínima (0–1) necessária para aceitar um padrão detectado.
UseSessionFilter, SessionStartHour, SessionEndHour Restrinja a negociação a uma janela específica da sessão de câmbio.
RevalidatePattern Força uma verificação secundária do preço antes de abrir uma posição.
UseBreakEven, BreakEvenAfterTp, BreakEvenTrigger, BreakEvenProfit Controla a ativação do ponto de equilíbrio após o nível de lucro especificado e o buffer de lucro adicional.
UseTrailingStop, TrailAfterTp, TrailStart, TrailStep Permite trailing stops quando um nível de lucro for atingido e a excursão mínima favorável for alcançada.

Gestão de risco

  • Os níveis de stop-loss, ponto de equilíbrio e trailing são gerenciados internamente sem a criação de pedidos adicionais. Saídas parciais e fechamentos de stop são acionados com ordens de mercado para emular a lógica MetaTrader.
  • Quando UseFixedVolume está desativado, o tamanho da posição é calculado a partir da distância de parada, do valor do tick do instrumento e da configuração RiskPercent.

Notas de uso

  • Certifique-se de que o instrumento conectado suporta o CandleType configurado e a etapa de preço, caso contrário a lógica de validação pode rejeitar sinais devido a verificações de distância mínima.
  • Os recursos de ponto de equilíbrio e trailing exigem que os respectivos níveis de lucro sejam preenchidos (BreakEvenAfterTp e TrailAfterTp).
  • Várias instâncias de estratégia podem ser executadas simultaneamente em diferentes títulos ou prazos para reproduzir a varredura de vários prazos do EA original.
namespace StockSharp.Samples.Strategies;

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;

/// <summary>
/// Detects bullish and bearish butterfly harmonic patterns on a configurable timeframe.
/// Distributes positions across three take-profit levels and supports optional break-even
/// and trailing-stop management.
/// </summary>
public class ButterflyPatternStrategy : Strategy
{
	private sealed class Pivot
	{
		public Pivot(DateTimeOffset time, decimal price, bool isHigh)
		{
			Time = time;
			Price = price;
			IsHigh = isHigh;
		}

		public DateTimeOffset Time { get; }

		public decimal Price { get; }

		public bool IsHigh { get; }
	}

	private sealed class PatternState
	{
		private readonly List<ICandleMessage> _candles = new();
		private readonly List<Pivot> _pivots = new();

		public Sides? Side { get; set; }

		public decimal RemainingVolume { get; set; }

		public decimal Lot1 { get; set; }

		public decimal Lot2 { get; set; }

		public decimal Lot3 { get; set; }

		public bool Tp1Filled { get; set; }

		public bool Tp2Filled { get; set; }

		public bool Tp3Filled { get; set; }

		public decimal? EntryPrice { get; set; }

		public decimal? StopPrice { get; set; }

		public decimal Tp1Price { get; set; }

		public decimal Tp2Price { get; set; }

		public decimal Tp3Price { get; set; }

		public bool BreakEvenApplied { get; set; }

		public bool TrailingActivated { get; set; }

		public DateTimeOffset? LastPatternTime { get; set; }

		public void ResetPosition()
		{
			Side = null;
			RemainingVolume = 0m;
			Lot1 = 0m;
			Lot2 = 0m;
			Lot3 = 0m;
			Tp1Filled = false;
			Tp2Filled = false;
			Tp3Filled = false;
			EntryPrice = null;
			StopPrice = null;
			Tp1Price = 0m;
			Tp2Price = 0m;
			Tp3Price = 0m;
			BreakEvenApplied = false;
			TrailingActivated = false;
		}

		public void ResetSeries()
		{
			ResetPosition();
			_candles.Clear();
			_pivots.Clear();
			LastPatternTime = null;
		}

		public void AddCandle(ICandleMessage candle)
		{
			_candles.Add(candle);
		}

		public bool TryExtractPivot(int left, int right, out Pivot pivot)
		{
			pivot = default;

			var required = left + right + 1;
			if (_candles.Count < required)
				return false;

			var index = _candles.Count - 1 - right;
			if (index < left)
				return false;

			var middle = _candles[index];
			if (middle == null)
				return false;
			var isHigh = true;
			var isLow = true;
			var from = index - left;
			var to = index + right;

			for (var i = from; i <= to; i++)
			{
				if (i < 0 || i >= _candles.Count)
					continue;

				if (i == index)
					continue;

				var c = _candles[i];
				if (c == null)
					continue;
				if (c.HighPrice > middle.HighPrice)
					isHigh = false;

				if (c.LowPrice < middle.LowPrice)
					isLow = false;
			}

			if (!isHigh && !isLow)
				return false;

			pivot = new Pivot(middle.OpenTime, isHigh ? middle.HighPrice : middle.LowPrice, isHigh);

			if (_candles.Count > required)
				_candles.RemoveAt(0);

			return true;
		}

		public void AddPivot(Pivot pivot)
		{
			_pivots.Add(pivot);
			if (_pivots.Count > 5)
				_pivots.RemoveAt(0);
		}

		public bool TryGetPattern(out Pivot x, out Pivot a, out Pivot b, out Pivot c, out Pivot d)
		{
			x = default;
			a = default;
			b = default;
			c = default;
			d = default;

			if (_pivots.Count < 5)
				return false;

			x = _pivots[^5];
			a = _pivots[^4];
			b = _pivots[^3];
			c = _pivots[^2];
			d = _pivots[^1];
			return true;
		}
	}

	private PatternState _state;

	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _pivotLeft;
	private readonly StrategyParam<int> _pivotRight;
	private readonly StrategyParam<decimal> _tolerance;
	private readonly StrategyParam<bool> _allowTrading;
	private readonly StrategyParam<bool> _useFixedVolume;
	private readonly StrategyParam<decimal> _fixedVolume;
	private readonly StrategyParam<decimal> _riskPercent;
	private readonly StrategyParam<bool> _adjustLots;
	private readonly StrategyParam<decimal> _tp1Percent;
	private readonly StrategyParam<decimal> _tp2Percent;
	private readonly StrategyParam<decimal> _tp3Percent;
	private readonly StrategyParam<decimal> _minPatternQuality;
	private readonly StrategyParam<bool> _useSessionFilter;
	private readonly StrategyParam<int> _sessionStartHour;
	private readonly StrategyParam<int> _sessionEndHour;
	private readonly StrategyParam<bool> _revalidatePattern;
	private readonly StrategyParam<bool> _useBreakEven;
	private readonly StrategyParam<int> _breakEvenAfterTp;
	private readonly StrategyParam<decimal> _breakEvenTrigger;
	private readonly StrategyParam<decimal> _breakEvenProfit;
	private readonly StrategyParam<bool> _useTrailingStop;
	private readonly StrategyParam<int> _trailAfterTp;
	private readonly StrategyParam<decimal> _trailStart;
	private readonly StrategyParam<decimal> _trailStep;

	public ButterflyPatternStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
		.SetDisplay("Candle Type", "Timeframe used for pattern detection", "General");

		_pivotLeft = Param(nameof(PivotLeft), 1)
		.SetGreaterThanZero()
		.SetDisplay("Pivot Left", "Bars to the left when validating a pivot", "Pattern");

		_pivotRight = Param(nameof(PivotRight), 1)
		.SetGreaterThanZero()
		.SetDisplay("Pivot Right", "Bars to the right when validating a pivot", "Pattern");

		_tolerance = Param(nameof(Tolerance), 0.50m)
		.SetGreaterThanZero()
		.SetDisplay("Ratio Tolerance", "Maximum deviation allowed for Fibonacci ratios", "Pattern");

		_allowTrading = Param(nameof(AllowTrading), true)
		.SetDisplay("Allow Trading", "Enable order generation when patterns are confirmed", "Trading");

		_useFixedVolume = Param(nameof(UseFixedVolume), true)
		.SetDisplay("Use Fixed Volume", "Use fixed trade volume instead of risk-based sizing", "Risk");

		_fixedVolume = Param(nameof(FixedVolume), 1m)
		.SetGreaterThanZero()
		.SetDisplay("Fixed Volume", "Volume to trade when fixed sizing is active", "Risk");

		_riskPercent = Param(nameof(RiskPercent), 1m)
		.SetGreaterThanZero()
		.SetDisplay("Risk Percent", "Risk per trade as a percentage of portfolio value", "Risk");

		_adjustLots = Param(nameof(AdjustLotsForTakeProfits), true)
		.SetDisplay("Adjust Lots", "Normalize take-profit allocations to match total volume", "Risk");

		_tp1Percent = Param(nameof(Tp1Percent), 50m)
		.SetNotNegative()
		.SetDisplay("TP1 %", "Share of volume closed at the first take-profit", "Targets");

		_tp2Percent = Param(nameof(Tp2Percent), 30m)
		.SetNotNegative()
		.SetDisplay("TP2 %", "Share of volume closed at the second take-profit", "Targets");

		_tp3Percent = Param(nameof(Tp3Percent), 20m)
		.SetNotNegative()
		.SetDisplay("TP3 %", "Share of volume closed at the third take-profit", "Targets");

		_minPatternQuality = Param(nameof(MinPatternQuality), 0.01m)
		.SetDisplay("Minimum Quality", "Minimum harmonic score required to trade", "Pattern");

		_useSessionFilter = Param(nameof(UseSessionFilter), false)
		.SetDisplay("Use Session Filter", "Only trade within configured session hours", "Trading");

		_sessionStartHour = Param(nameof(SessionStartHour), 8)
		.SetDisplay("Session Start", "Session start hour in exchange time", "Trading");

		_sessionEndHour = Param(nameof(SessionEndHour), 16)
		.SetDisplay("Session End", "Session end hour in exchange time", "Trading");

		_revalidatePattern = Param(nameof(RevalidatePattern), false)
		.SetDisplay("Revalidate Pattern", "Confirm that price has not invalidated the setup", "Pattern");

		_useBreakEven = Param(nameof(UseBreakEven), false)
		.SetDisplay("Use Break-Even", "Enable break-even management", "Risk");

		_breakEvenAfterTp = Param(nameof(BreakEvenAfterTp), 1)
		.SetGreaterThanZero()
		.SetDisplay("Break-Even After TP", "Activate break-even after the specified take-profit", "Risk");

		_breakEvenTrigger = Param(nameof(BreakEvenTrigger), 30m)
		.SetDisplay("Break-Even Trigger", "Points required to lock break-even", "Risk");

		_breakEvenProfit = Param(nameof(BreakEvenProfit), 5m)
		.SetDisplay("Break-Even Profit", "Profit offset applied to break-even", "Risk");

		_useTrailingStop = Param(nameof(UseTrailingStop), false)
		.SetDisplay("Use Trailing", "Enable trailing stop management", "Risk");

		_trailAfterTp = Param(nameof(TrailAfterTp), 2)
		.SetGreaterThanZero()
		.SetDisplay("Trail After TP", "Activate trailing after the specified take-profit", "Risk");

		_trailStart = Param(nameof(TrailStart), 20m)
		.SetDisplay("Trail Start", "Points required before trailing", "Risk");

		_trailStep = Param(nameof(TrailStep), 5m)
		.SetDisplay("Trail Step", "Trailing step in price points", "Risk");
	}

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

	public int PivotLeft
	{
		get => _pivotLeft.Value;
		set => _pivotLeft.Value = value;
	}

	public int PivotRight
	{
		get => _pivotRight.Value;
		set => _pivotRight.Value = value;
	}

	public decimal Tolerance
	{
		get => _tolerance.Value;
		set => _tolerance.Value = value;
	}

	public bool AllowTrading
	{
		get => _allowTrading.Value;
		set => _allowTrading.Value = value;
	}

	public bool UseFixedVolume
	{
		get => _useFixedVolume.Value;
		set => _useFixedVolume.Value = value;
	}

	public decimal FixedVolume
	{
		get => _fixedVolume.Value;
		set => _fixedVolume.Value = value;
	}

	public decimal RiskPercent
	{
		get => _riskPercent.Value;
		set => _riskPercent.Value = value;
	}

	public bool AdjustLotsForTakeProfits
	{
		get => _adjustLots.Value;
		set => _adjustLots.Value = value;
	}

	public decimal Tp1Percent
	{
		get => _tp1Percent.Value;
		set => _tp1Percent.Value = value;
	}

	public decimal Tp2Percent
	{
		get => _tp2Percent.Value;
		set => _tp2Percent.Value = value;
	}

	public decimal Tp3Percent
	{
		get => _tp3Percent.Value;
		set => _tp3Percent.Value = value;
	}

	public decimal MinPatternQuality
	{
		get => _minPatternQuality.Value;
		set => _minPatternQuality.Value = value;
	}

	public bool UseSessionFilter
	{
		get => _useSessionFilter.Value;
		set => _useSessionFilter.Value = value;
	}

	public int SessionStartHour
	{
		get => _sessionStartHour.Value;
		set => _sessionStartHour.Value = value;
	}

	public int SessionEndHour
	{
		get => _sessionEndHour.Value;
		set => _sessionEndHour.Value = value;
	}

	public bool RevalidatePattern
	{
		get => _revalidatePattern.Value;
		set => _revalidatePattern.Value = value;
	}

	public bool UseBreakEven
	{
		get => _useBreakEven.Value;
		set => _useBreakEven.Value = value;
	}

	public int BreakEvenAfterTp
	{
		get => _breakEvenAfterTp.Value;
		set => _breakEvenAfterTp.Value = value;
	}

	public decimal BreakEvenTrigger
	{
		get => _breakEvenTrigger.Value;
		set => _breakEvenTrigger.Value = value;
	}

	public decimal BreakEvenProfit
	{
		get => _breakEvenProfit.Value;
		set => _breakEvenProfit.Value = value;
	}

	public bool UseTrailingStop
	{
		get => _useTrailingStop.Value;
		set => _useTrailingStop.Value = value;
	}

	public int TrailAfterTp
	{
		get => _trailAfterTp.Value;
		set => _trailAfterTp.Value = value;
	}

	public decimal TrailStart
	{
		get => _trailStart.Value;
		set => _trailStart.Value = value;
	}

	public decimal TrailStep
	{
		get => _trailStep.Value;
		set => _trailStep.Value = value;
	}

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

	protected override void OnReseted()
	{
		base.OnReseted();
		_state = null;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);
		_state = new PatternState();

		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;

		UpdateRiskManagement(candle);

		if (!IsWithinSession(candle.OpenTime))
		return;

		_state.AddCandle(candle);

		if (_state.TryExtractPivot(PivotLeft, PivotRight, out var pivot))
		{
		_state.AddPivot(pivot);
		TryDetectPattern(candle);
		}
	}

	private bool IsWithinSession(DateTimeOffset time)
	{
		if (!UseSessionFilter)
		return true;

		var hour = time.Hour;
		if (SessionStartHour < SessionEndHour)
		return hour >= SessionStartHour && hour < SessionEndHour;

		return hour >= SessionStartHour || hour < SessionEndHour;
	}

	private void TryDetectPattern(ICandleMessage candle)
	{
		if (!_state.TryGetPattern(out var x, out var a, out var b, out var c, out var d))
		return;

		if (_state.LastPatternTime is DateTimeOffset last && last == d.Time)
		return;

		var side = DetectPatternType(x, a, b, c, d);
		if (side == null)
		return;

		var quality = AssessPatternQuality(x, a, b, c, d, side.Value);
		if (quality < MinPatternQuality)
		{
		LogInfo($"Pattern discarded: quality {quality:F3} below threshold {MinPatternQuality:F3}.");
		return;
		}

		if (RevalidatePattern && !RevalidateBeforeTrading(candle.ClosePrice, c.Price, a.Price, x.Price, side.Value))
		{
		LogInfo("Pattern invalidated by price action.");
		return;
		}

		_state.LastPatternTime = d.Time;

		if (!AllowTrading)
		{
		LogInfo("Trading disabled. Pattern ignored.");
		return;
		}

		if (_state.Side != null && _state.RemainingVolume > 0m)
		{
		LogInfo("Active position detected. New signal skipped.");
		return;
		}

		ExecutePattern(candle, side.Value, a, c);
	}

	private Sides? DetectPatternType(Pivot x, Pivot a, Pivot b, Pivot c, Pivot d)
	{
		var diffBear = x.Price - a.Price;
		if (x.IsHigh && !a.IsHigh && b.IsHigh && !c.IsHigh && d.IsHigh && diffBear > 0m)
		{
		var idealB = a.Price + 0.786m * diffBear;
		if (Math.Abs(b.Price - idealB) <= Tolerance * diffBear)
		{
		var bc = b.Price - c.Price;
		if (bc >= 0.1m * diffBear && bc <= 2m * diffBear)
		{
		var cd = d.Price - c.Price;
		if (cd >= 0.5m * diffBear && cd <= 3m * diffBear)
		return Sides.Sell;
		}
		}
		}

		var diffBull = a.Price - x.Price;
		if (!x.IsHigh && a.IsHigh && !b.IsHigh && c.IsHigh && !d.IsHigh && diffBull > 0m)
		{
		var idealB = a.Price - 0.786m * diffBull;
		if (Math.Abs(b.Price - idealB) <= Tolerance * diffBull)
		{
		var bc = c.Price - b.Price;
		if (bc >= 0.1m * diffBull && bc <= 2m * diffBull)
		{
		var cd = c.Price - d.Price;
		if (cd >= 0.5m * diffBull && cd <= 3m * diffBull)
		return Sides.Buy;
		}
		}
		}

		return null;
	}

	private decimal AssessPatternQuality(Pivot x, Pivot a, Pivot b, Pivot c, Pivot d, Sides side)
	{
		var diff = side == Sides.Buy ? a.Price - x.Price : x.Price - a.Price;
		if (diff == 0m)
		return 0m;

		var score = 1m;
		var idealB = side == Sides.Buy ? a.Price - 0.786m * diff : a.Price + 0.786m * diff;
		var bDeviation = Math.Abs(b.Price - idealB) / diff;
		score -= bDeviation * 0.2m;

		var idealC = side == Sides.Buy
		? b.Price + 0.618m * (a.Price - b.Price)
		: b.Price - 0.618m * (b.Price - a.Price);
		var cDeviation = Math.Abs(c.Price - idealC) / diff;
		score -= cDeviation * 0.2m;

		var idealD = side == Sides.Buy
		? c.Price - 1.414m * (c.Price - b.Price)
		: c.Price + 1.414m * (b.Price - c.Price);
		var dDeviation = Math.Abs(d.Price - idealD) / diff;
		score -= dDeviation * 0.2m;

		var abDuration = (b.Time - a.Time).TotalSeconds;
		var cdDuration = (d.Time - c.Time).TotalSeconds;
		if (abDuration > 0 && cdDuration > 0)
		score -= (decimal)Math.Abs(1.0 - abDuration / cdDuration) * 0.1m;

		var xaDuration = (a.Time - x.Time).TotalSeconds;
		var bcDuration = (c.Time - b.Time).TotalSeconds;
		if (xaDuration > 0 && bcDuration > 0)
		score -= (decimal)Math.Abs(1.0 - xaDuration / bcDuration) * 0.1m;

		return Math.Max(0m, Math.Min(1m, score));
	}

	private bool RevalidateBeforeTrading(decimal currentPrice, decimal dPrice, decimal aPrice, decimal xPrice, Sides side)
	{
		var direction = side == Sides.Buy ? 1m : -1m;
		var diff = side == Sides.Buy ? aPrice - xPrice : xPrice - aPrice;
		if (diff <= 0m)
		return false;

		var priceMovement = (currentPrice - dPrice) * direction;
		if (priceMovement < 0m)
		return false;

		return Math.Abs(priceMovement) <= 0.3m * diff;
	}

	private void ExecutePattern(ICandleMessage candle, Sides side, Pivot a, Pivot c)
	{
		var entryPrice = candle.ClosePrice;
		var tp3 = c.Price;
		var diff = side == Sides.Buy ? tp3 - entryPrice : entryPrice - tp3;
		if (diff <= 0m)
		{
		LogInfo("Pattern skipped: invalid take-profit distance.");
		return;
		}

		var tp1 = side == Sides.Buy ? entryPrice + diff / 3m : entryPrice - diff / 3m;
		var tp2 = side == Sides.Buy ? entryPrice + diff * 2m / 3m : entryPrice - diff * 2m / 3m;
		var stop = side == Sides.Buy ? entryPrice - (tp2 - entryPrice) * 3m : entryPrice + (entryPrice - tp2) * 3m;

		var step = Security.PriceStep ?? 0.0001m;
		var minDistance = step;
		if (Math.Abs(entryPrice - stop) < minDistance || Math.Abs(tp1 - entryPrice) < minDistance || Math.Abs(tp2 - entryPrice) < minDistance || Math.Abs(tp3 - entryPrice) < minDistance)
		{
		LogInfo("Pattern skipped: protective distances below minimal step.");
		return;
		}

		var volume = CalculatePositionVolume(entryPrice, stop);
		if (volume <= 0m)
		{
		LogInfo("Pattern skipped: volume calculation returned zero.");
		return;
		}

		SplitVolumes(volume, out var lot1, out var lot2, out var lot3);
		var total = lot1 + lot2 + lot3;
		if (total <= 0m)
		{
		LogInfo("Pattern skipped: no tradable volume.");
		return;
		}

		var order = side == Sides.Buy ? BuyMarket(total) : SellMarket(total);
		if (order == null)
		{
		LogInfo("Failed to place entry order.");
		return;
		}

		_state.Side = side;
		_state.EntryPrice = entryPrice;
		_state.StopPrice = stop;
		_state.Lot1 = lot1;
		_state.Lot2 = lot2;
		_state.Lot3 = lot3;
		_state.RemainingVolume = total;
		_state.Tp1Filled = lot1 <= 0m;
		_state.Tp2Filled = lot2 <= 0m;
		_state.Tp3Filled = lot3 <= 0m;
		_state.Tp1Price = tp1;
		_state.Tp2Price = tp2;
		_state.Tp3Price = tp3;
		_state.BreakEvenApplied = false;
		_state.TrailingActivated = false;

		LogInfo($"{side} entry at {entryPrice:F5}, stop {stop:F5}, TP1 {tp1:F5}, TP2 {tp2:F5}, TP3 {tp3:F5}, volume {total:F2}.");
	}

	private decimal CalculatePositionVolume(decimal entryPrice, decimal stopPrice)
	{
		var minVolume = Security.MinVolume ?? 0.01m;
		var maxVolume = Security.MaxVolume ?? 0m;
		var step = Security.VolumeStep ?? 0.01m;

		decimal volume;
		if (UseFixedVolume)
		{
		volume = FixedVolume;
		}
		else
		{
		var portfolioValue = Portfolio?.CurrentValue ?? 0m;
		var riskAmount = portfolioValue * RiskPercent / 100m;
		var stepPrice = 1m;
		var priceStep = Security.PriceStep ?? 1m;
		var distance = Math.Abs(entryPrice - stopPrice);
		if (distance <= 0m || priceStep <= 0m || stepPrice <= 0m)
		return 0m;

		var riskPerUnit = distance / priceStep * stepPrice;
		if (riskPerUnit <= 0m)
		return 0m;

		volume = riskAmount / riskPerUnit;
		}

		if (step > 0m)
		volume = Math.Floor(volume / step) * step;

		if (maxVolume > 0m)
		volume = Math.Min(volume, maxVolume);

		return Math.Max(volume, minVolume);
	}

	private void SplitVolumes(decimal total, out decimal lot1, out decimal lot2, out decimal lot3)
	{
		var percents = Tp1Percent + Tp2Percent + Tp3Percent;
		if (percents <= 0m)
		{
		lot1 = total / 3m;
		lot2 = total / 3m;
		lot3 = total - lot1 - lot2;
		}
		else
		{
		lot1 = total * Tp1Percent / percents;
		lot2 = total * Tp2Percent / percents;
		lot3 = total - lot1 - lot2;
		}

		if (AdjustLotsForTakeProfits)
		{
		var sum = lot1 + lot2 + lot3;
		if (sum != 0m)
		{
		var scale = total / sum;
		lot1 *= scale;
		lot2 *= scale;
		lot3 = total - lot1 - lot2;
		}
		}

		var step = Security.VolumeStep ?? 0.01m;
		if (step > 0m)
		{
		lot1 = Math.Round(lot1 / step) * step;
		lot2 = Math.Round(lot2 / step) * step;
		lot3 = Math.Round(lot3 / step) * step;
		}

		var minVolume = Security.MinVolume ?? 0.01m;
		if (lot1 > 0m && lot1 < minVolume)
		lot1 = minVolume;
		if (lot2 > 0m && lot2 < minVolume)
		lot2 = minVolume;
		if (lot3 > 0m && lot3 < minVolume)
		lot3 = minVolume;

		var sumAfter = lot1 + lot2 + lot3;
		if (sumAfter > total && sumAfter > 0m)
		{
		var scale = total / sumAfter;
		lot1 *= scale;
		lot2 *= scale;
		lot3 = total - lot1 - lot2;
		}

		lot1 = Math.Max(0m, lot1);
		lot2 = Math.Max(0m, lot2);
		lot3 = Math.Max(0m, lot3);
	}

	private void UpdateRiskManagement(ICandleMessage candle)
	{
		if (_state.Side == null || _state.RemainingVolume <= 0m || _state.EntryPrice is not decimal entry)
		return;

		var side = _state.Side.Value;
		var direction = side == Sides.Buy ? 1m : -1m;
		var step = Security.PriceStep ?? 1m;

		if (_state.StopPrice is decimal stop)
		{
		var hit = side == Sides.Buy ? candle.LowPrice <= stop : candle.HighPrice >= stop;
		if (hit)
		{
		ExitAll();
		LogInfo($"Stop-loss hit at {stop:F5}.");
		return;
		}
		}

		if (!_state.Tp1Filled && _state.Lot1 > 0m)
		{
		var reached = side == Sides.Buy ? candle.HighPrice >= _state.Tp1Price : candle.LowPrice <= _state.Tp1Price;
		if (reached)
		ExitPartial(_state.Lot1, _state.Tp1Price, 1);
		}

		if (!_state.Tp2Filled && _state.Lot2 > 0m)
		{
		var reached = side == Sides.Buy ? candle.HighPrice >= _state.Tp2Price : candle.LowPrice <= _state.Tp2Price;
		if (reached)
		ExitPartial(_state.Lot2, _state.Tp2Price, 2);
		}

		if (!_state.Tp3Filled && _state.Lot3 > 0m)
		{
		var reached = side == Sides.Buy ? candle.HighPrice >= _state.Tp3Price : candle.LowPrice <= _state.Tp3Price;
		if (reached)
		ExitPartial(_state.Lot3, _state.Tp3Price, 3);
		}

		if (_state.RemainingVolume <= 0m)
		{
		_state.ResetPosition();
		return;
		}

		ApplyBreakEven(candle, entry, direction, step);
		ApplyTrailing(candle, entry, direction, step);
	}

	private void ExitPartial(decimal volume, decimal price, int tpIndex)
	{
		if (volume <= 0m)
		return;

		Order order = _state.Side == Sides.Buy ? SellMarket(volume) : BuyMarket(volume);
		if (order == null)
		{
		LogInfo($"Failed to exit partial position for TP{tpIndex}.");
		return;
		}

		_state.RemainingVolume = Math.Max(0m, _state.RemainingVolume - volume);

		switch (tpIndex)
		{
		case 1:
		_state.Tp1Filled = true;
		break;
		case 2:
		_state.Tp2Filled = true;
		break;
		case 3:
		_state.Tp3Filled = true;
		break;
		}

		LogInfo($"TP{tpIndex} executed at {price:F5}.");
	}

	private void ExitAll()
	{
		if (_state.Side == null || _state.RemainingVolume <= 0m)
		{
		_state.ResetPosition();
		return;
		}

		var volume = _state.RemainingVolume;
		Order order = _state.Side == Sides.Buy ? SellMarket(volume) : BuyMarket(volume);
		if (order == null)
		{
		LogInfo("Failed to close position at stop.");
		return;
		}

		_state.ResetPosition();
	}

	private void ApplyBreakEven(ICandleMessage candle, decimal entry, decimal direction, decimal step)
	{
		if (!UseBreakEven || _state.BreakEvenApplied || _state.StopPrice is not decimal currentStop)
		return;

		if (!IsGatePassed(BreakEvenAfterTp, _state.Tp1Filled, _state.Tp2Filled))
		return;

		if (BreakEvenTrigger <= 0m)
		return;

		var movement = (candle.ClosePrice - entry) * direction;
		if (movement < BreakEvenTrigger * step)
		return;

		var newStop = entry + direction * BreakEvenProfit * step;
		if (direction > 0m)
		{
		if (newStop <= currentStop)
		return;
		}
		else if (newStop >= currentStop)
		{
		return;
		}

		_state.StopPrice = newStop;
		_state.BreakEvenApplied = true;
		LogInfo($"Break-even adjusted to {newStop:F5}.");
	}

	private void ApplyTrailing(ICandleMessage candle, decimal entry, decimal direction, decimal step)
	{
		if (!UseTrailingStop || _state.StopPrice is not decimal currentStop)
		return;

		if (!IsGatePassed(TrailAfterTp, _state.Tp1Filled, _state.Tp2Filled))
		return;

		if (TrailStart <= 0m || TrailStep <= 0m)
		return;

		var movement = (candle.ClosePrice - entry) * direction;
		if (movement < TrailStart * step)
		return;

		var newStop = candle.ClosePrice - direction * TrailStep * step;
		if (direction > 0m)
		{
		if (newStop <= currentStop)
		return;
		}
		else if (newStop >= currentStop)
		{
		return;
		}

		_state.StopPrice = newStop;
		_state.TrailingActivated = true;
		LogInfo($"Trailing stop updated to {newStop:F5}.");
	}

	private static bool IsGatePassed(int gate, bool tp1Filled, bool tp2Filled)
	{
		var normalized = gate < 1 ? 1 : gate > 2 ? 2 : gate;
		return normalized switch
		{
		1 => tp1Filled,
		2 => tp2Filled,
		_ => false,
		};
	}
}