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OBV Slope Mean Reversion-Strategie

Die OBV Slope Mean Reversion-Strategie konzentriert sich auf extreme OBV-Werte, um Rückkehrbewegungen auszunutzen. Starke Abweichungen vom normalen Niveau halten selten lange an.

Trades werden ausgelöst, wenn der Indikator weit von seinem Mittelwert abweicht und dann beginnt, sich umzukehren. Sowohl Long- als auch Short-Setups enthalten einen Schutz-Stop.

Geeignet für Swing-Trader, die Oszillationen erwarten; die Strategie schließt die Position, sobald der OBV zum Gleichgewicht zurückkehrt. Startparameter ObvSmaPeriod = 20.

Details

  • Einstiegskriterien: Der Indikator kreuzt zurück in Richtung Mittelwert.
  • Long/Short: Beide Richtungen.
  • Ausstiegskriterien: Der Indikator kehrt zum Durchschnitt zurück.
  • Stops: Ja.
  • Standardwerte:
    • ObvSmaPeriod = 20
    • LookbackPeriod = 20
    • DeviationMultiplier = 2.0m
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filter:
    • Kategorie: Mean Reversion
    • Richtung: Beide
    • Indikatoren: OBV
    • Stops: Ja
    • Komplexität: Mittel
    • Zeitrahmen: Kurzfristig
    • Saisonalität: Nein
    • Neuronale Netze: Nein
    • Divergenz: Nein
    • Risikolevel: Mittel
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>
/// On-Balance Volume slope mean reversion.
/// The slope of the smoothed OBV is compared with its average: buys when the slope is far below the average
/// and starts turning up, sells when it is far above and starts turning down.
/// Exits when the slope returns to its average.
/// </summary>
public class ObvSlopeMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _obvSmaPeriod;
	private readonly StrategyParam<int> _lookbackPeriod;
	private readonly StrategyParam<decimal> _deviationMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<DataType> _candleType;

	private SimpleMovingAverage _obvSma;
	private SimpleMovingAverage _slopeAverage;
	private StandardDeviation _slopeStdDev;
	private decimal? _prevObv;
	private decimal? _prevSlope;

	/// <summary>
	/// Period of the OBV moving average.
	/// </summary>
	public int ObvSmaPeriod
	{
		get => _obvSmaPeriod.Value;
		set => _obvSmaPeriod.Value = value;
	}

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

	/// <summary>
	/// Standard deviation multiplier for extreme slope.
	/// </summary>
	public decimal DeviationMultiplier
	{
		get => _deviationMultiplier.Value;
		set => _deviationMultiplier.Value = value;
	}

	/// <summary>
	/// Stop-loss percentage.
	/// </summary>
	public decimal StopLossPercent
	{
		get => _stopLossPercent.Value;
		set => _stopLossPercent.Value = value;
	}

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

	/// <summary>
	/// Initialize <see cref="ObvSlopeMeanReversionStrategy"/>.
	/// </summary>
	public ObvSlopeMeanReversionStrategy()
	{
		_obvSmaPeriod = Param(nameof(ObvSmaPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("OBV SMA Period", "Period of the OBV moving average", "Indicators");

		_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Lookback Period", "Period for slope statistics", "Strategy");

		_deviationMultiplier = Param(nameof(DeviationMultiplier), 2.0m)
			.SetGreaterThanZero()
			.SetDisplay("Deviation Multiplier", "Standard deviation multiplier for extreme slope", "Strategy");

		_stopLossPercent = Param(nameof(StopLossPercent), 2.0m)
			.SetNotNegative()
			.SetDisplay("Stop Loss %", "Stop-loss percentage", "Risk Management");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_obvSma = null;
		_slopeAverage = null;
		_slopeStdDev = null;
		_prevObv = null;
		_prevSlope = null;
	}

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

		var obv = new OnBalanceVolume();
		_obvSma = new SimpleMovingAverage { Length = ObvSmaPeriod };
		_slopeAverage = new SimpleMovingAverage { Length = LookbackPeriod };
		_slopeStdDev = new StandardDeviation { Length = LookbackPeriod };

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

		StartProtection(
			takeProfit: null,
			stopLoss: StopLossPercent > 0 ? new Unit(StopLossPercent, UnitTypes.Percent) : null
		);

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawOwnTrades(area);

			var obvArea = CreateChartArea();
			if (obvArea != null)
				DrawIndicator(obvArea, obv);
		}
	}

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

		var smoothed = _obvSma.Process(obvValue, candle.ServerTime, true).ToDecimal();

		if (!_obvSma.IsFormed)
			return;

		if (_prevObv is not decimal prevObv)
		{
			_prevObv = smoothed;
			return;
		}

		_prevObv = smoothed;

		var slope = smoothed - prevObv;
		var avgSlope = _slopeAverage.Process(slope, candle.ServerTime, true).ToDecimal();
		var stdSlope = _slopeStdDev.Process(slope, candle.ServerTime, true).ToDecimal();

		var prevSlope = _prevSlope;
		_prevSlope = slope;

		if (!_slopeAverage.IsFormed || !_slopeStdDev.IsFormed || prevSlope is not decimal prev)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		// Extreme reading that has started to turn back toward the average.
		if (slope < avgSlope - DeviationMultiplier * stdSlope && slope > prev && Position <= 0)
		{
			BuyMarket(Volume + Math.Abs(Position));
		}
		else if (slope > avgSlope + DeviationMultiplier * stdSlope && slope < prev && Position >= 0)
		{
			SellMarket(Volume + Math.Abs(Position));
		}
		else if (Position > 0 && slope >= avgSlope)
		{
			SellMarket(Position);
		}
		else if (Position < 0 && slope <= avgSlope)
		{
			BuyMarket(-Position);
		}
	}
}