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Bulls & Bears Power Cross 策略

该策略在四小时周期上利用 Bulls Power 与 Bears Power 指标的交叉进行交易。Bulls Power 衡量价格上方的买方力量，Bears Power 衡量价格下方的卖方力量。当买方力量超过卖方力量时，系统做多；当卖方力量占优时，系统做空。

在加密货币历史数据上的测试表明，这些指标交叉往往预示短期反转。策略始终保持持仓，并在每次新的交叉时反转方向。

细节

  • 入场条件：
    • 做多：Bulls Power 从下向上穿越 Bears Power。
    • 做空：Bears Power 从下向上穿越 Bulls Power。
  • 多空方向：双向。
  • 出场条件：相反的交叉触发仓位反转。
  • 止损：无，仓位通过反向信号关闭。
  • 过滤器：
    • 时间框架：默认 4 小时 K 线。
    • 指标：Bulls Power、Bears Power。
    • 方向：基于动量变化的反转。
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 with RSI filter strategy.
/// </summary>
public class BullsBearsPowerCrossStrategy : 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 BullsBearsPowerCrossStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 13)
			.SetGreaterThanZero()
			.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
		_slowPeriod = Param(nameof(SlowPeriod), 26)
			.SetGreaterThanZero()
			.SetDisplay("Slow Period", "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;
	}
}