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VWAP Slope Mean Reversion

The VWAP Slope Mean Reversion strategy focuses on extreme readings of the VWAP to exploit reversion. Wide departures from the normal level rarely last.

Trades trigger when the indicator swings far from its mean and then begins to reverse. Both long and short setups include a protective stop.

Suited for swing traders expecting oscillations, the strategy closes out once the VWAP returns toward balance. Starting parameter SlopeLookback = 20.

Details

  • Entry Criteria: Indicator crosses back toward mean.
  • Long/Short: Both directions.
  • Exit Criteria: Indicator reverts to average.
  • Stops: Yes.
  • Default Values:
    • SlopeLookback = 20
    • ThresholdMultiplier = 2m
    • StopLossPercent = 2m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mean Reversion
    • Direction: Both
    • Indicators: VWAP
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Short-term
    • Seasonality: No
    • Neural Networks: No
    • Divergence: No
    • Risk Level: Medium
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>
/// VWAP slope mean reversion strategy.
/// Trades reversions from extreme VWAP slopes and exits when the slope returns to its recent average.
/// </summary>
public class VwapSlopeMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _slopeLookback;
	private readonly StrategyParam<decimal> _thresholdMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<int> _cooldownBars;
	private readonly StrategyParam<DataType> _candleType;

	private VolumeWeightedMovingAverage _vwap;
	private decimal _previousVwapValue;
	private decimal[] _slopeHistory;
	private int _currentIndex;
	private int _filledCount;
	private int _cooldown;
	private bool _isInitialized;

	/// <summary>
	/// Period for slope statistics.
	/// </summary>
	public int SlopeLookback
	{
		get => _slopeLookback.Value;
		set => _slopeLookback.Value = value;
	}

	/// <summary>
	/// Standard deviation multiplier for entry threshold.
	/// </summary>
	public decimal ThresholdMultiplier
	{
		get => _thresholdMultiplier.Value;
		set => _thresholdMultiplier.Value = value;
	}

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

	/// <summary>
	/// Cooldown bars between orders.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

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

	/// <summary>
	/// Initializes a new instance of <see cref="VwapSlopeMeanReversionStrategy"/>.
	/// </summary>
	public VwapSlopeMeanReversionStrategy()
	{
		_slopeLookback = Param(nameof(SlopeLookback), 20)
			.SetGreaterThanZero()
			.SetDisplay("Slope Lookback", "Period for slope statistics", "Slope Settings")
			.SetOptimize(10, 50, 5);

		_thresholdMultiplier = Param(nameof(ThresholdMultiplier), 1.5m)
			.SetGreaterThanZero()
			.SetDisplay("Threshold Multiplier", "Standard deviation multiplier for entry threshold", "Slope Settings")
			.SetOptimize(1m, 3m, 0.5m);

		_stopLossPercent = Param(nameof(StopLossPercent), 2m)
			.SetGreaterThanZero()
			.SetDisplay("Stop Loss %", "Stop loss as percentage of entry price", "Risk Management");

		_cooldownBars = Param(nameof(CooldownBars), 1200)
			.SetRange(1, 5000)
			.SetDisplay("Cooldown Bars", "Bars to wait between orders", "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();
		_vwap = null;
		_previousVwapValue = default;
		_slopeHistory = new decimal[SlopeLookback];
		_currentIndex = default;
		_filledCount = default;
		_cooldown = default;
		_isInitialized = default;
	}

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

		_vwap = new VolumeWeightedMovingAverage();
		_slopeHistory = new decimal[SlopeLookback];
		_currentIndex = 0;
		_filledCount = 0;
		_cooldown = 0;

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

		StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));

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

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

		if (!_vwap.IsFormed)
			return;

		if (!_isInitialized)
		{
			_previousVwapValue = vwapValue;
			_isInitialized = true;
			return;
		}

		if (_previousVwapValue == 0)
			return;

		var slope = vwapValue - _previousVwapValue;
		_previousVwapValue = vwapValue;

		_slopeHistory[_currentIndex] = slope;
		_currentIndex = (_currentIndex + 1) % SlopeLookback;

		if (_filledCount < SlopeLookback)
			_filledCount++;

		if (_filledCount < SlopeLookback)
			return;

		var averageSlope = 0m;
		var sumSq = 0m;

		for (var i = 0; i < SlopeLookback; i++)
			averageSlope += _slopeHistory[i];

		averageSlope /= SlopeLookback;

		for (var i = 0; i < SlopeLookback; i++)
		{
			var diff = _slopeHistory[i] - averageSlope;
			sumSq += diff * diff;
		}

		var slopeStdDev = (decimal)Math.Sqrt((double)(sumSq / SlopeLookback));

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (_cooldown > 0)
		{
			_cooldown--;
			return;
		}

		var lowerThreshold = averageSlope - ThresholdMultiplier * slopeStdDev;
		var upperThreshold = averageSlope + ThresholdMultiplier * slopeStdDev;

		if (Position == 0)
		{
			if (slope < lowerThreshold)
			{
				BuyMarket();
				_cooldown = CooldownBars;
			}
			else if (slope > upperThreshold)
			{
				SellMarket();
				_cooldown = CooldownBars;
			}
		}
		else if (Position > 0 && slope >= averageSlope)
		{
			SellMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
		else if (Position < 0 && slope <= averageSlope)
		{
			BuyMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
	}
}