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Adx Stochastic Strategy

Strategy that combines ADX (Average Directional Index) for trend strength and Stochastic Oscillator for entry timing with oversold/overbought conditions.

Testing indicates an average annual return of about 172%. It performs best in the forex market.

ADX highlights trend strength while Stochastic pinpoints pullbacks. Long or short signals appear when momentum turns while ADX stays high.

It suits traders who combine trend following with oscillator timing. Protective ATR stops help control drawdowns.

Details

  • Entry Criteria:
    • Long: ADX > AdxThreshold && StochK < StochOversold && Bullish
    • Short: ADX > AdxThreshold && StochK > StochOverbought && Bearish
  • Long/Short: Both
  • Exit Criteria:
    • Exit when ADX < AdxThreshold
  • Stops: Percent-based at StopLossPercent
  • Default Values:
    • AdxPeriod = 14
    • AdxThreshold = 25m
    • StochPeriod = 14
    • StochK = 3
    • StochD = 3
    • StochOversold = 20m
    • StochOverbought = 80m
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
  • Filters:
    • Category: Mean reversion
    • Direction: Both
    • Indicators: ADX, Stochastic Oscillator
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Mid-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>
/// Strategy combining ADX for trend strength and manual Stochastic %K for entry timing.
/// Enters when ADX shows strong trend and Stochastic is oversold/overbought.
/// </summary>
public class AdxStochasticStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _adxPeriod;
	private readonly StrategyParam<decimal> _adxThreshold;
	private readonly StrategyParam<decimal> _stochOversold;
	private readonly StrategyParam<decimal> _stochOverbought;
	private readonly StrategyParam<int> _cooldownBars;

	private decimal _adxValue;
	private int _cooldown;
	private readonly List<decimal> _highs = new();
	private readonly List<decimal> _lows = new();
	private const int StochPeriod = 14;

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

	/// <summary>
	/// ADX period.
	/// </summary>
	public int AdxPeriod
	{
		get => _adxPeriod.Value;
		set => _adxPeriod.Value = value;
	}

	/// <summary>
	/// ADX threshold for strong trend.
	/// </summary>
	public decimal AdxThreshold
	{
		get => _adxThreshold.Value;
		set => _adxThreshold.Value = value;
	}

	/// <summary>
	/// Stochastic oversold level.
	/// </summary>
	public decimal StochOversold
	{
		get => _stochOversold.Value;
		set => _stochOversold.Value = value;
	}

	/// <summary>
	/// Stochastic overbought level.
	/// </summary>
	public decimal StochOverbought
	{
		get => _stochOverbought.Value;
		set => _stochOverbought.Value = value;
	}

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

	/// <summary>
	/// Strategy constructor.
	/// </summary>
	public AdxStochasticStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");

		_adxPeriod = Param(nameof(AdxPeriod), 14)
			.SetRange(7, 21)
			.SetDisplay("ADX Period", "Period of the ADX indicator", "Indicators");

		_adxThreshold = Param(nameof(AdxThreshold), 25m)
			.SetDisplay("ADX Threshold", "ADX level for strong trend", "Indicators");

		_stochOversold = Param(nameof(StochOversold), 20m)
			.SetDisplay("Stochastic Oversold", "Level considered oversold", "Indicators");

		_stochOverbought = Param(nameof(StochOverbought), 80m)
			.SetDisplay("Stochastic Overbought", "Level considered overbought", "Indicators");

		_cooldownBars = Param(nameof(CooldownBars), 100)
			.SetDisplay("Cooldown Bars", "Bars between trades", "General")
			.SetRange(5, 500);
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_adxValue = 0;
		_cooldown = 0;
		_highs.Clear();
		_lows.Clear();
	}

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

		var adx = new AverageDirectionalIndex { Length = AdxPeriod };

		var subscription = SubscribeCandles(CandleType);

		subscription
			.BindEx(adx, ProcessCandle)
			.Start();

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

			var adxArea = CreateChartArea();
			if (adxArea != null)
				DrawIndicator(adxArea, adx);
		}
	}

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

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		// Extract ADX value
		if (adxValue is AverageDirectionalIndexValue typedAdx && typedAdx.MovingAverage is decimal adx)
			_adxValue = adx;

		if (_adxValue == 0)
			return;

		// Track highs/lows for manual stochastic
		_highs.Add(candle.HighPrice);
		_lows.Add(candle.LowPrice);

		var maxBuf = StochPeriod * 2;
		if (_highs.Count > maxBuf)
		{
			_highs.RemoveRange(0, _highs.Count - maxBuf);
			_lows.RemoveRange(0, _lows.Count - maxBuf);
		}

		if (_highs.Count < StochPeriod)
			return;

		// Manual Stochastic %K
		var start = _highs.Count - StochPeriod;
		var highestHigh = decimal.MinValue;
		var lowestLow = decimal.MaxValue;
		for (var i = start; i < _highs.Count; i++)
		{
			if (_highs[i] > highestHigh) highestHigh = _highs[i];
			if (_lows[i] < lowestLow) lowestLow = _lows[i];
		}
		var diff = highestHigh - lowestLow;
		if (diff == 0) return;
		var stochK = 100m * (candle.ClosePrice - lowestLow) / diff;

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

		var strongTrend = _adxValue > AdxThreshold;

		// Long: strong trend + stochastic oversold
		if (strongTrend && stochK < StochOversold && Position == 0)
		{
			BuyMarket();
			_cooldown = CooldownBars;
		}
		// Short: strong trend + stochastic overbought
		else if (strongTrend && stochK > StochOverbought && Position == 0)
		{
			SellMarket();
			_cooldown = CooldownBars;
		}

		// Exit when trend weakens
		if (!strongTrend && Position > 0)
		{
			SellMarket();
			_cooldown = CooldownBars;
		}
		else if (!strongTrend && Position < 0)
		{
			BuyMarket();
			_cooldown = CooldownBars;
		}
	}
}