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LeMan Signal 策略

概述

LeMan Signal 策略是 MetaTrader 平台上 LeManSignal 专家顾问的移植版本。该方法分析两个连续区间内的最高价和最低价，以识别可能的趋势反转。当满足特定条件时，在下一根蜡烛开仓做多或做空。

工作原理

  1. 策略只监控选定时间框架的已完成蜡烛。
  2. 对前一根蜡烛比较两个连续区间的最高价和最低价：
    • H1 和 H2 是两个相邻区间的最高值。
    • H3 和 H4 是下一对区间的最高值。
    • L1 和 L2 是两个相邻区间的最低值。
    • L3 和 L4 是下一对区间的最低值。
  3. 当 H3 <= H4 且 H1 > H2 时产生 买入 信号。
  4. 当 L3 >= L4 且 L1 < L2 时产生 卖出 信号。
  5. 订单以市价执行，任何相反方向的持仓都会被自动平仓。
  6. 通过 StartProtection 进行风险管理，默认止损 1% ，止盈 2%。

参数

  • Period – 指标回溯周期长度。
  • Signal Bar – 用于确认信号的偏移量（默认 1）。
  • Candle Type – 需要分析的蜡烛类型。

备注

  • 策略仅对已完成的蜡烛做出反应。
  • 内部缓冲仅包含计算所需的最少值。
  • 使用策略时，将其添加到 StockSharp 终端，设置所需工具和参数，然后启动策略。
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>
/// Strategy based on LeManSignal indicator.
/// Opens long on buy signal and short on sell signal.
/// Signals are derived from high and low breakouts over two consecutive periods.
/// </summary>
public class LeManSignalStrategy : Strategy
{
	private readonly StrategyParam<int> _period;
	private readonly StrategyParam<int> _signalBar;
	private readonly StrategyParam<DataType> _candleType;

	private readonly List<decimal> _highs = new();
	private readonly List<decimal> _lows = new();

	/// <summary>
	/// Indicator period length.
	/// </summary>
	public int Period
	{
		get => _period.Value;
		set => _period.Value = value;
	}

	/// <summary>
	/// Offset to confirm signal.
	/// </summary>
	public int SignalBar
	{
		get => _signalBar.Value;
		set => _signalBar.Value = value;
	}

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

	/// <summary>
	/// Initializes strategy parameters.
	/// </summary>
	public LeManSignalStrategy()
	{
		_period = Param(nameof(Period), 12)
			.SetDisplay("Period", "LeManSignal lookback period", "Indicator")
			.SetGreaterThanZero()
			
			.SetOptimize(5, 30, 5);

		_signalBar = Param(nameof(SignalBar), 1)
			.SetDisplay("Signal Bar", "Offset for confirmed signal", "Indicator")
			.SetNotNegative()
			
			.SetOptimize(0, 2, 1);

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

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_highs.Clear();
		_lows.Clear();
	}

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

		var warmup = new ExponentialMovingAverage { Length = 2 * Period + 3 };

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

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

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

		_highs.Add(candle.HighPrice);
		_lows.Add(candle.LowPrice);

		var maxLen = 2 * Period + 3;
		if (_highs.Count > maxLen)
		{
			_highs.RemoveAt(0);
			_lows.RemoveAt(0);
		}

		if (_highs.Count < maxLen)
			return;

		var signal = GetSignal(SignalBar);

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (signal > 0 && Position <= 0)
			BuyMarket();
		else if (signal < 0 && Position >= 0)
			SellMarket();
	}

	private int GetSignal(int bar)
	{
		var size = _highs.Count;

		var bar1 = bar + 1;
		var bar2 = bar + 2;
		var bar1p = bar1 + Period;
		var bar2p = bar2 + Period;

		var h1 = Highest(size - bar1 - Period, Period);
		var h2 = Highest(size - bar1p - Period, Period);
		var h3 = Highest(size - bar2 - Period, Period);
		var h4 = Highest(size - bar2p - Period, Period);

		var l1 = Lowest(size - bar1 - Period, Period);
		var l2 = Lowest(size - bar1p - Period, Period);
		var l3 = Lowest(size - bar2 - Period, Period);
		var l4 = Lowest(size - bar2p - Period, Period);

		var buy = h3 <= h4 && h1 > h2;
		var sell = l3 >= l4 && l1 < l2;

		if (buy)
			return 1;
		if (sell)
			return -1;
		return 0;
	}

	private decimal Highest(int start, int length)
	{
		var max = decimal.MinValue;
		for (var i = start; i < start + length; i++)
		{
			var v = _highs[i];
			if (v > max)
				max = v;
		}
		return max;
	}

	private decimal Lowest(int start, int length)
	{
		var min = decimal.MaxValue;
		for (var i = start; i < start + length; i++)
		{
			var v = _lows[i];
			if (v < min)
				min = v;
		}
		return min;
	}
}