Deutsch DE
Auf GitHub ansehen

Expert RSI Stochastic MA Strategy

Overview

The Expert RSI Stochastic MA Strategy is a conversion of the MetaTrader 5 expert advisor Expert_RSI_Stochastic_MA.mq5. The C# implementation leverages StockSharp's high-level strategy API while reproducing the original logic: a trend filter based on a configurable moving average, momentum confirmation from RSI, and a dual-line Stochastic oscillator for precise timing. Protective behaviour replicates the source algorithm with an optional fixed loss threshold and a Stochastic-driven trailing exit.

Indicators and Parameters

The strategy exposes the same inputs as the MetaTrader version and keeps their default values. All parameters are available for optimisation through the StockSharp UI.

Category Parameter Default Description
General CandleType 15-minute time frame Candle aggregation used for indicator calculations.
Trading TradeVolume 0.01 Base order size in lots/contracts.
RSI RsiPeriod 3 Number of bars used to compute the RSI.
RSI RsiPriceType Close Applied price for RSI (close, open, high, low, median, typical, weighted).
RSI RsiUpperLevel 80 Overbought threshold triggering short conditions.
RSI RsiLowerLevel 20 Oversold threshold triggering long conditions.
Stochastic StochKPeriod 6 Period of the %K line.
Stochastic StochDPeriod 3 Period of the %D smoothing line.
Stochastic StochSlowing 3 Additional slowing factor applied to %K.
Stochastic StochUpperLevel 70 Overbought level shared by both Stochastic lines.
Stochastic StochLowerLevel 30 Oversold level shared by both Stochastic lines.
Moving Average MaMethod Simple Moving average type (simple, exponential, smoothed, weighted).
Moving Average MaPriceType Close Applied price for the moving average.
Moving Average MaPeriod 150 Length of the moving average.
Moving Average MaShift 0 Number of completed bars used to shift the moving average value backwards.
Risk AllowLossPoints 30 Maximum adverse excursion in points before exiting a losing trade (0 disables).
Risk TrailingStopPoints 30 Distance in points for the Stochastic-based trailing stop (0 closes on Stochastic without trailing).

Point calculation – The implementation converts the AllowLoss and TrailingStop parameters into absolute prices using Security.PriceStep. When the instrument has 3 or 5 decimal places the value is multiplied by 10 to emulate MetaTrader's pip handling.

Trading Logic

Long Setup

  1. Trend filter – Candle close must stay above the shifted moving average.
  2. Momentum confirmation – RSI must be below RsiLowerLevel.
  3. Timing – Both Stochastic lines (%K and %D) must be below StochLowerLevel.
  4. Position filter – Long orders are only placed when no long exposure exists (Position <= 0). The order size is TradeVolume plus any quantity required to flip an existing short position.

Short Setup

  1. Trend filter – Candle close must be below the shifted moving average.
  2. Momentum confirmation – RSI must exceed RsiUpperLevel.
  3. Timing – Both Stochastic lines must be above StochUpperLevel.
  4. Position filter – New short positions require Position >= 0. The strategy offsets existing longs automatically if necessary.

Exit Management

  • Losing trades
    • When AllowLossPoints is zero the strategy waits for the Stochastic main line to move into the opposite extreme (StochUpperLevel for longs, StochLowerLevel for shorts) before closing negative trades.
    • When AllowLossPoints is positive, the strategy converts the value to a price offset and closes the trade as soon as the loss exceeds this threshold and the Stochastic returns inside the neutral zone (stochMain > StochLowerLevel for longs, < StochUpperLevel for shorts).
  • Trailing exit
    • With TrailingStopPoints > 0, once a trade is profitable and the Stochastic reaches its extreme zone, a trailing stop is set every finished candle. For long trades the stop trails below price; for short trades it trails above.
    • With TrailingStopPoints = 0, profitable trades are closed immediately when the Stochastic reaches the extreme level (matching the original EA behaviour).
  • Trailing trigger – Trailing updates only occur on completed candles, mirroring the MQL implementation that restricted updates to one per bar.

Implementation Notes

  • The moving average shift is handled by storing recent values and reading the value MaShift bars back, reproducing MetaTrader's shift parameter.
  • RSI and moving-average inputs support multiple applied prices to match MetaTrader options. Stochastic calculations rely on StockSharp's built-in oscillator (Low/High mode) and honour the configured smoothing lengths.
  • Trailing and loss thresholds are measured in points. The helper automatically scales the value for typical FX tick sizes (3 or 5 decimals) and defaults to one PriceStep otherwise.
  • Chart output includes candles, the moving average, RSI, and Stochastic indicators, allowing visual validation similar to the original template.
  • There is no accompanying Python version by request; only the C# implementation is provided.

Usage Tips

  • When deploying on securities with unconventional tick sizes, verify that Security.PriceStep is filled; otherwise the default conversion (1 point = 1 price unit) will be used.
  • Combine the built-in StartProtection or additional risk modules if further stop-loss or take-profit management is required.
  • Optimise indicator lengths and risk thresholds together—the strategy intentionally exposes all primary knobs from the MetaTrader expert.
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>
/// Combines an SMA trend filter with RSI and Stochastic oscillators.
/// Enters long when price is above SMA, RSI is oversold and Stochastic is oversold.
/// Enters short when price is below SMA, RSI is overbought and Stochastic is overbought.
/// </summary>
public class ExpertRsiStochasticMaStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _rsiPeriod;
	private readonly StrategyParam<decimal> _rsiUpperLevel;
	private readonly StrategyParam<decimal> _rsiLowerLevel;
	private readonly StrategyParam<int> _stochKPeriod;
	private readonly StrategyParam<int> _stochDPeriod;
	private readonly StrategyParam<decimal> _stochUpperLevel;
	private readonly StrategyParam<decimal> _stochLowerLevel;
	private readonly StrategyParam<int> _maPeriod;

	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	public int RsiPeriod
	{
		get => _rsiPeriod.Value;
		set => _rsiPeriod.Value = value;
	}

	public decimal RsiUpperLevel
	{
		get => _rsiUpperLevel.Value;
		set => _rsiUpperLevel.Value = value;
	}

	public decimal RsiLowerLevel
	{
		get => _rsiLowerLevel.Value;
		set => _rsiLowerLevel.Value = value;
	}

	public int StochKPeriod
	{
		get => _stochKPeriod.Value;
		set => _stochKPeriod.Value = value;
	}

	public int StochDPeriod
	{
		get => _stochDPeriod.Value;
		set => _stochDPeriod.Value = value;
	}

	public decimal StochUpperLevel
	{
		get => _stochUpperLevel.Value;
		set => _stochUpperLevel.Value = value;
	}

	public decimal StochLowerLevel
	{
		get => _stochLowerLevel.Value;
		set => _stochLowerLevel.Value = value;
	}

	public int MaPeriod
	{
		get => _maPeriod.Value;
		set => _maPeriod.Value = value;
	}

	public ExpertRsiStochasticMaStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
			.SetDisplay("Candle Type", "Time frame used for calculations", "General");

		_rsiPeriod = Param(nameof(RsiPeriod), 3)
			.SetGreaterThanZero()
			.SetDisplay("RSI Period", "Number of bars for RSI", "RSI");

		_rsiUpperLevel = Param(nameof(RsiUpperLevel), 80m)
			.SetDisplay("RSI Overbought", "Upper RSI threshold", "RSI");

		_rsiLowerLevel = Param(nameof(RsiLowerLevel), 20m)
			.SetDisplay("RSI Oversold", "Lower RSI threshold", "RSI");

		_stochKPeriod = Param(nameof(StochKPeriod), 6)
			.SetGreaterThanZero()
			.SetDisplay("%K Period", "Length of Stochastic %K", "Stochastic");

		_stochDPeriod = Param(nameof(StochDPeriod), 3)
			.SetGreaterThanZero()
			.SetDisplay("%D Period", "Length of Stochastic %D", "Stochastic");

		_stochUpperLevel = Param(nameof(StochUpperLevel), 70m)
			.SetDisplay("Stoch Overbought", "Upper Stochastic threshold", "Stochastic");

		_stochLowerLevel = Param(nameof(StochLowerLevel), 30m)
			.SetDisplay("Stoch Oversold", "Lower Stochastic threshold", "Stochastic");

		_maPeriod = Param(nameof(MaPeriod), 50)
			.SetGreaterThanZero()
			.SetDisplay("MA Period", "Length of moving average", "Moving Average");
	}

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

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

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

		var sma = new SMA { Length = MaPeriod };
		var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
		var stoch = new StochasticOscillator();
		stoch.K.Length = StochKPeriod;
		stoch.D.Length = StochDPeriod;

		var subscription = SubscribeCandles(CandleType);
		subscription
			.BindEx(sma, rsi, stoch, ProcessCandle)
			.Start();

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

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

		if (!smaValue.IsFinal || !rsiValue.IsFinal || !stochValue.IsFinal)
			return;

		var sma = smaValue.IsEmpty ? (decimal?)null : smaValue.GetValue<decimal>();
		var rsiVal = rsiValue.IsEmpty ? (decimal?)null : rsiValue.GetValue<decimal>();

		if (sma is not decimal smaDecimal || rsiVal is not decimal rsiDecimal)
			return;

		var stoch = (StochasticOscillatorValue)stochValue;
		if (stoch.K is not decimal stochK || stoch.D is not decimal stochD)
			return;

		var price = candle.ClosePrice;

		// Long entry: price above SMA, RSI oversold, Stochastic oversold
		if (price > smaDecimal && rsiDecimal < RsiLowerLevel && stochK < StochLowerLevel && stochD < StochLowerLevel)
		{
			if (Position <= 0)
				BuyMarket();
		}
		// Short entry: price below SMA, RSI overbought, Stochastic overbought
		else if (price < smaDecimal && rsiDecimal > RsiUpperLevel && stochK > StochUpperLevel && stochD > StochUpperLevel)
		{
			if (Position >= 0)
				SellMarket();
		}
		// Exit long: Stochastic overbought
		else if (Position > 0 && stochK > StochUpperLevel)
		{
			SellMarket();
		}
		// Exit short: Stochastic oversold
		else if (Position < 0 && stochK < StochLowerLevel)
		{
			BuyMarket();
		}
	}
}