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Kijun-sen 交叉平仓策略

该策略作为持仓管理工具。当收盘价穿越一目均衡表中的 Kijun-sen 线时,自动平掉当前持仓。

策略运行时订阅 K 线并计算 Kijun-sen 的数值。若持有多头且价格跌破 Kijun-sen(可设置偏移),则平多;若持有空头且价格突破该线,则平空。策略本身不建立新的仓位。

细节

  • 入场条件:无,策略仅管理已有仓位。
  • 多/空:双向(平仓)。
  • 退出条件:收盘价按设定偏移穿越 Kijun-sen。
  • 止损:无。
  • 默认值
    • KijunPeriod = 50
    • PointsToCross = 0
    • CandleType = 5 分钟
  • 过滤条件
    • 类别:持仓管理
    • 方向:双向
    • 指标:一目均衡表
    • 止损:无
    • 复杂度:基础
    • 时间框架:日内
    • 季节性:无
    • 神经网络:无
    • 背离:无
    • 风险级别:低
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>
/// EMA crossover strategy inspired by Kijun-sen cross concept.
/// </summary>
public class CloseCrossKijunSenStrategy : 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 CloseCrossKijunSenStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 12)
			.SetGreaterThanZero()
			.SetDisplay("Fast Period", "Fast EMA period", "Parameters");
		_slowPeriod = Param(nameof(SlowPeriod), 50)
			.SetGreaterThanZero()
			.SetDisplay("Slow Period", "Slow EMA period", "Parameters");
		_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;
	}
}