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Accrual Anomaly

Accrual Anomaly 策略实现了应计项异常因子。在每年五月的第一个交易日重新平衡，做多低应计股票并做空高应计股票。

测试显示年均收益约 12%，在美国股票市场表现最佳。

仓位每年调整一次，不使用日内信号。

详情

  • 入场条件：参见实现中的应计项计算。
  • 多空方向：双向。
  • 退出条件：下一次计划的再平衡。
  • 止损：无明确止损逻辑。
  • 默认值:
    • Deciles = 10
    • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
  • 过滤器:
    • 分类: 基本面
    • 方向: 双向
    • 指标: 基本面
    • 止损: 否
    • 复杂度: 中等
    • 时间框架: 日线
    • 季节性: 是
    • 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.Configuration;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Cross-sectional accrual anomaly strategy that trades the primary instrument against a synthetic accrual benchmark derived from the secondary instrument.
/// </summary>
public class AccrualAnomalyStrategy : Strategy
{
	private readonly StrategyParam<string> _security2Id;
	private readonly StrategyParam<int> _accrualLength;
	private readonly StrategyParam<int> _lookbackPeriod;
	private readonly StrategyParam<decimal> _entryThreshold;
	private readonly StrategyParam<decimal> _exitThreshold;
	private readonly StrategyParam<int> _cooldownBars;
	private readonly StrategyParam<decimal> _stopLoss;
	private readonly StrategyParam<DataType> _candleType;

	private Security _security2 = null!;
	private ExponentialMovingAverage _primaryAccrualAverage = null!;
	private ExponentialMovingAverage _secondaryAccrualAverage = null!;
	private SimpleMovingAverage _spreadAverage = null!;
	private StandardDeviation _spreadDeviation = null!;
	private decimal _latestPrimaryAccrual;
	private decimal _latestSecondaryAccrual;
	private bool _primaryUpdated;
	private bool _secondaryUpdated;
	private decimal? _previousZScore;
	private int _cooldownRemaining;

	/// <summary>
	/// Secondary security identifier.
	/// </summary>
	public string Security2Id
	{
		get => _security2Id.Value;
		set => _security2Id.Value = value;
	}

	/// <summary>
	/// Smoothing length for the synthetic accrual proxy.
	/// </summary>
	public int AccrualLength
	{
		get => _accrualLength.Value;
		set => _accrualLength.Value = value;
	}

	/// <summary>
	/// Lookback period for spread normalization.
	/// </summary>
	public int LookbackPeriod
	{
		get => _lookbackPeriod.Value;
		set => _lookbackPeriod.Value = value;
	}

	/// <summary>
	/// Z-score threshold required to open a position.
	/// </summary>
	public decimal EntryThreshold
	{
		get => _entryThreshold.Value;
		set => _entryThreshold.Value = value;
	}

	/// <summary>
	/// Z-score threshold required to close a position.
	/// </summary>
	public decimal ExitThreshold
	{
		get => _exitThreshold.Value;
		set => _exitThreshold.Value = value;
	}

	/// <summary>
	/// Closed candles to wait before another position change.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

	/// <summary>
	/// Stop loss percentage.
	/// </summary>
	public decimal StopLoss
	{
		get => _stopLoss.Value;
		set => _stopLoss.Value = value;
	}

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

	/// <summary>
	/// Initializes strategy parameters.
	/// </summary>
	public AccrualAnomalyStrategy()
	{
		_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
			.SetDisplay("Second Security Id", "Identifier of the secondary security", "General");

		_accrualLength = Param(nameof(AccrualLength), 6)
			.SetRange(2, 30)
			.SetDisplay("Accrual Length", "Smoothing length for the synthetic accrual proxy", "Indicators");

		_lookbackPeriod = Param(nameof(LookbackPeriod), 24)
			.SetRange(10, 120)
			.SetDisplay("Lookback Period", "Lookback period for spread normalization", "Indicators");

		_entryThreshold = Param(nameof(EntryThreshold), 1.4m)
			.SetRange(0.5m, 4m)
			.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals");

		_exitThreshold = Param(nameof(ExitThreshold), 0.35m)
			.SetRange(0m, 2m)
			.SetDisplay("Exit Threshold", "Z-score threshold required to close a position", "Signals");

		_cooldownBars = Param(nameof(CooldownBars), 12)
			.SetRange(0, 100)
			.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Risk");

		_stopLoss = Param(nameof(StopLoss), 2.5m)
			.SetRange(0.5m, 10m)
			.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Candle series for both instruments", "General");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		if (Security != null)
			yield return (Security, CandleType);

		if (!Security2Id.IsEmpty())
			yield return (new Security { Id = Security2Id }, CandleType);
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();

		_security2 = null!;
		_primaryAccrualAverage = null!;
		_secondaryAccrualAverage = null!;
		_spreadAverage = null!;
		_spreadDeviation = null!;
		_latestPrimaryAccrual = 0m;
		_latestSecondaryAccrual = 0m;
		_primaryUpdated = false;
		_secondaryUpdated = false;
		_previousZScore = null;
		_cooldownRemaining = 0;
	}

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

		if (Security == null)
			throw new InvalidOperationException("Primary security is not specified.");

		if (Security2Id.IsEmpty())
			throw new InvalidOperationException("Secondary security identifier is not specified.");

		_security2 = this.LookupById(Security2Id) ?? new Security { Id = Security2Id };
		_primaryAccrualAverage = new ExponentialMovingAverage { Length = AccrualLength };
		_secondaryAccrualAverage = new ExponentialMovingAverage { Length = AccrualLength };
		_spreadAverage = new SimpleMovingAverage { Length = LookbackPeriod };
		_spreadDeviation = new StandardDeviation { Length = LookbackPeriod };
		_cooldownRemaining = 0;

		var primarySubscription = SubscribeCandles(CandleType, security: Security);
		var secondarySubscription = SubscribeCandles(CandleType, security: _security2);

		primarySubscription
			.Bind(ProcessPrimaryCandle)
			.Start();

		secondarySubscription
			.Bind(ProcessSecondaryCandle)
			.Start();

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

		StartProtection(
			new Unit(2, UnitTypes.Percent),
			new Unit(StopLoss, UnitTypes.Percent));
	}

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

		_latestPrimaryAccrual = UpdateAccrualAverage(_primaryAccrualAverage, candle);
		_primaryUpdated = true;
		TryProcessSpread(candle.OpenTime);
	}

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

		_latestSecondaryAccrual = UpdateAccrualAverage(_secondaryAccrualAverage, candle);
		_secondaryUpdated = true;
		TryProcessSpread(candle.OpenTime);
	}

	private decimal UpdateAccrualAverage(ExponentialMovingAverage average, ICandleMessage candle)
	{
		var accrualProxy = CalculateAccrualProxy(candle);
		return average.Process(accrualProxy, candle.OpenTime, true).ToDecimal();
	}

	private decimal CalculateAccrualProxy(ICandleMessage candle)
	{
		var priceBase = Math.Max(candle.OpenPrice, 1m);
		var range = Math.Max(candle.HighPrice - candle.LowPrice, Security?.PriceStep ?? 1m);
		var body = candle.ClosePrice - candle.OpenPrice;
		var bodyRatio = body / priceBase;
		var closeLocation = ((candle.ClosePrice - candle.LowPrice) - (candle.HighPrice - candle.ClosePrice)) / range;
		var volatilityRatio = range / priceBase;

		return (bodyRatio * 18m) + (closeLocation * 0.8m) - (volatilityRatio * 6m);
	}

	private void TryProcessSpread(DateTime time)
	{
		if (!_primaryUpdated || !_secondaryUpdated)
			return;

		_primaryUpdated = false;
		_secondaryUpdated = false;

		if (!_primaryAccrualAverage.IsFormed || !_secondaryAccrualAverage.IsFormed)
			return;

		var spread = _latestPrimaryAccrual - _latestSecondaryAccrual;
		var mean = _spreadAverage.Process(spread, time, true).ToDecimal();
		var deviation = _spreadDeviation.Process(spread, time, true).ToDecimal();

		if (!_spreadAverage.IsFormed || !_spreadDeviation.IsFormed || deviation <= 0)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (_cooldownRemaining > 0)
			_cooldownRemaining--;

		var zScore = (spread - mean) / deviation;
		var bullishEntry = _previousZScore is decimal previousBullish && previousBullish > -EntryThreshold && zScore <= -EntryThreshold;
		var bearishEntry = _previousZScore is decimal previousBearish && previousBearish < EntryThreshold && zScore >= EntryThreshold;

		if (_cooldownRemaining == 0 && Position == 0)
		{
			if (bullishEntry)
			{
				BuyMarket();
				_cooldownRemaining = CooldownBars;
			}
			else if (bearishEntry)
			{
				SellMarket();
				_cooldownRemaining = CooldownBars;
			}
		}
		else if (Position > 0 && zScore >= -ExitThreshold)
		{
			SellMarket(Position);
			_cooldownRemaining = CooldownBars;
		}
		else if (Position < 0 && zScore <= ExitThreshold)
		{
			BuyMarket(Math.Abs(Position));
			_cooldownRemaining = CooldownBars;
		}

		_previousZScore = zScore;
	}
}