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Beta Weighted MA策略

Beta Weighted MA（BWMA）策略使用Beta分布对最近的价格加权，通过alpha和beta参数调节滞后和平滑程度。当价格上穿BWMA时开多仓，下穿时开空仓。

细节

  • 入场条件：
    • 价格上穿BWMA时做多。
    • 价格下穿BWMA时做空。
  • 方向：多/空。
  • 出场条件：
    • 反向穿越关闭当前仓位并开立反向仓位。
  • 止损：无。
  • 默认参数：
    • Length = 50
    • Alpha = 3
    • Beta = 3
  • 过滤器：
    • 类型：趋势跟随
    • 方向：多/空
    • 指标：Beta Weighted Moving Average
    • 止损：无
    • 复杂度：低
    • 时间框架：任意
    • 季节性：无
    • 神经网络：无
    • 背离：无
    • 风险等级：中
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>
/// Strategy based on Beta Weighted Moving Average (BWMA).
/// Buys when price crosses above BWMA and sells when crosses below.
/// </summary>
public class BetaWeightedMaStrategy : Strategy
{
	private readonly StrategyParam<int> _length;
	private readonly StrategyParam<decimal> _alpha;
	private readonly StrategyParam<decimal> _beta;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _cooldownBars;

	private readonly List<decimal> _prices = [];
	private readonly List<decimal> _weights = [];
	private decimal _denominator;
	private decimal _prevMa;
	private decimal _prevPrice;
	private int _cooldownRemaining;

	/// <summary>
	/// Period for BWMA calculation.
	/// </summary>
	public int Length
	{
		get => _length.Value;
		set => _length.Value = value;
	}

	/// <summary>
	/// Alpha (+Lag) parameter.
	/// </summary>
	public decimal Alpha
	{
		get => _alpha.Value;
		set => _alpha.Value = value;
	}

	/// <summary>
	/// Beta (-Lag) parameter.
	/// </summary>
	public decimal Beta
	{
		get => _beta.Value;
		set => _beta.Value = value;
	}

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

	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

	/// <summary>
	/// Initialize <see cref="BetaWeightedMaStrategy"/>.
	/// </summary>
	public BetaWeightedMaStrategy()
	{
		_length = Param(nameof(Length), 50)
			.SetDisplay("BWMA Length", "Number of periods for Beta Weighted MA", "Parameters")
			
			.SetOptimize(10, 100, 10);

		_alpha = Param(nameof(Alpha), 3m)
			.SetDisplay("Alpha (+Lag)", "Alpha parameter for Beta weighting", "Parameters")
			
			.SetOptimize(1m, 10m, 1m);

		_beta = Param(nameof(Beta), 3m)
			.SetDisplay("Beta (-Lag)", "Beta parameter for Beta weighting", "Parameters")
			
			.SetOptimize(1m, 10m, 1m);

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");

		_cooldownBars = Param(nameof(CooldownBars), 10)
			.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_prices.Clear();
		_weights.Clear();
		_denominator = default;
		_prevMa = default;
		_prevPrice = default;
		_cooldownRemaining = 0;
	}

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

		// Precompute weights based on Beta distribution
		_weights.Clear();
		_denominator = 0m;

		var alpha = (double)Alpha;
		var beta = (double)Beta;

		for (var i = 0; i < Length; i++)
		{
			var x = (double)i / (Length - 1);
			var w = Math.Pow(x, alpha - 1) * Math.Pow(1 - x, beta - 1);
			var wd = (decimal)w;
			_weights.Add(wd);
			_denominator += wd;
		}

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

		// cooldown init
	}

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

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		_prices.Insert(0, candle.ClosePrice);

		if (_prices.Count > Length)
			_prices.RemoveAt(_prices.Count - 1);

		if (_prices.Count < Length)
			return;

		decimal sum = 0m;

		for (var i = 0; i < Length; i++)
			sum += _prices[i] * _weights[i];

		var ma = sum / _denominator;

		if (_prevMa == 0m)
		{
			_prevMa = ma;
			_prevPrice = candle.ClosePrice;
			return;
		}

		if (_cooldownRemaining > 0)
		{
			_cooldownRemaining--;
			_prevPrice = candle.ClosePrice;
			_prevMa = ma;
			return;
		}

		var crossedAbove = candle.ClosePrice > ma && _prevPrice <= _prevMa;
		var crossedBelow = candle.ClosePrice < ma && _prevPrice >= _prevMa;

		if (crossedAbove && Position <= 0)
		{
			if (Position < 0)
				BuyMarket(Math.Abs(Position));
			BuyMarket(Volume);
			_cooldownRemaining = CooldownBars;
		}
		else if (crossedBelow && Position >= 0)
		{
			if (Position > 0)
				SellMarket(Math.Abs(Position));
			SellMarket(Volume);
			_cooldownRemaining = CooldownBars;
		}

		_prevPrice = candle.ClosePrice;
		_prevMa = ma;
	}
}