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模拟器策略

该策略在EMA交叉时进行交易，并设置固定的止损和止盈。当快速EMA从下向上穿越慢速EMA时买入，当快速EMA从上向下穿越慢速EMA时卖出。出现反向信号或价格达到目标时平仓。

详情

  • 入场条件：
    • 多头：快速EMA上穿慢速EMA
    • 空头：快速EMA下穿慢速EMA
  • 多空方向：双向
  • 出场条件：
    • EMA反向交叉
    • 多头：价格触及止盈或止损
    • 空头：价格触及止盈或止损
  • 止损：固定价差
  • 默认值：
    • FastPeriod = 13
    • SlowPeriod = 50
    • StopLoss = 0.005m
      • TakeProfit = 0.005m
      • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
  • 过滤器：
    • 类别：趋势跟随
    • 方向：双向
    • 指标：EMA
    • 止损：是
    • 复杂度：基础
    • 时间框架：短期
    • 季节性：否
    • 神经网络：否
    • 背离：否
    • 风险等级：中等
using System;
using System.Collections.Generic;

using Ecng.Common;

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

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Simple EMA crossover strategy.
/// </summary>
public class SimulatorStrategy : Strategy
{
	private readonly StrategyParam<int> _fastPeriod;
	private readonly StrategyParam<int> _slowPeriod;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevFast;
	private decimal _prevSlow;
	private bool _hasPrev;

	public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
	public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public SimulatorStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 13)
			.SetGreaterThanZero()
			.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
		_slowPeriod = Param(nameof(SlowPeriod), 50)
			.SetGreaterThanZero()
			.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Candle type", "General");
	}

	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
		=> [(Security, CandleType)];

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFast = 0;
		_prevSlow = 0;
		_hasPrev = false;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var fast = new ExponentialMovingAverage { Length = FastPeriod };
		var slow = new ExponentialMovingAverage { Length = SlowPeriod };

		SubscribeCandles(CandleType)
			.Bind(fast, slow, ProcessCandle)
			.Start();
	}

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

		if (!_hasPrev)
		{
			_prevFast = fastVal;
			_prevSlow = slowVal;
			_hasPrev = true;
			return;
		}

		var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
		var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;

		if (crossUp && Position <= 0)
		{
			if (Position < 0) BuyMarket();
			BuyMarket();
		}
		else if (crossDown && Position >= 0)
		{
			if (Position > 0) SellMarket();
			SellMarket();
		}

		_prevFast = fastVal;
		_prevSlow = slowVal;
	}
}