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ARD Order Management Stochastic Strategy

Overview

The Ard Order Management strategy is a StockSharp conversion of the MetaTrader expert ARD_ORDER_MANAGEMENT_EA-BETA_1. The original script focused on repeatedly closing existing positions before placing new orders and offered helper routines for manual stop-loss and take-profit updates. The StockSharp version keeps this discipline while adding indicator-driven automation based on the Stochastic oscillator.

The default setup targets intraday forex trading on a 5-minute chart, but the candle type is fully configurable. All trading logic runs on finished candles to stay faithful to the end-of-bar execution style of the source expert.

Trading Logic

  • A Stochastic oscillator with configurable lookback, signal, and slowing periods generates directional signals (defaults: 5/3/3).
  • When %K closes above the buy threshold (80 by default), the strategy cancels pending orders, closes any open short exposure, and enters a long position with the configured volume.
  • When %K closes below the sell threshold (20 by default), all pending orders are cancelled, open long exposure is closed, and a new short is opened.
  • The strategy stays in the new position until the opposite signal fires or a protective exit is triggered.

Order and Risk Management

  • Before every new entry the strategy issues market orders that fully flatten the current position, replicating the open_order(CLOSE) behaviour from the EA.
  • StartProtection automatically submits initial stop-loss and take-profit orders according to the StopLossPips and TakeProfitPips parameters.
  • Optional trailing logic emulates the EA's MODIFY branch: each finished candle can refresh a dynamic stop level (ModifyStopLossPips) and a floating profit target (ModifyTakeProfitPips). When price touches either trailing level, the position is closed to secure gains or limit risk.
  • Pip conversion uses the instrument's PriceStep (with a 10× adjustment for fractional-pip forex symbols) so distance-based parameters stay consistent across markets.

Parameters

  • Volume – trading volume for new entries; additional size is added automatically to close opposing positions.
  • TakeProfitPips / StopLossPips – initial protective distances passed to the built-in protection module. Set to zero to disable either order.
  • ModifyTakeProfitPips / ModifyStopLossPips – trailing offsets (in pips) recalculated after every candle. Set to zero to disable trailing updates.
  • StochasticPeriod / SignalPeriod / SlowingPeriod – oscillator configuration mirroring the iStochastic call from the original expert.
  • BuyThreshold / SellThreshold – overbought/oversold levels that trigger long/short reversals.
  • CandleType – timeframe or custom candle data source powering the indicator.

Each parameter exposes sensible optimisation ranges so you can back-test alternative settings in the StockSharp optimiser.

Usage Notes

  • Works best on liquid instruments where pip-based stops are meaningful (major forex pairs, index CFDs, liquid futures).
  • Increase the timeframe when trading slower markets to reduce noise and false reversals.
  • When running on live accounts, verify that the configured volume respects broker minimums and step sizes.
  • The trailing logic can be disabled by leaving the Modify* parameters at zero, effectively reproducing the static order maintenance of the source EA.
  • Combine with additional filters (trend, volatility, sessions) if you want more selective entries—the code exposes properties that can be extended.

Conversion Details

  • Source file: MQL/9041/ARD_ORDER_MANAGEMENT_EA-BETA_1.mq4.
  • Recreated the Stochastic trigger logic hinted at in the commented start() routine.
  • Preserved the close-before-open discipline and protective order placement through StockSharp's high-level API.
  • Added optional trailing exits to reflect the EA's manual MODIFY block while keeping the implementation indicator-driven and event-based.
using System;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Ard Order Management Stochastic: RSI overbought/oversold reversal
/// with EMA trend filter and ATR-based trailing stops.
/// </summary>
public class ArdOrderManagementStochasticStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _rsiLength;
	private readonly StrategyParam<int> _emaLength;
	private readonly StrategyParam<int> _atrLength;
	private readonly StrategyParam<decimal> _buyThreshold;
	private readonly StrategyParam<decimal> _sellThreshold;

	private decimal _prevRsi;

	public ArdOrderManagementStochasticStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Timeframe.", "General");

		_rsiLength = Param(nameof(RsiLength), 10)
			.SetDisplay("RSI Length", "RSI period.", "Indicators");

		_emaLength = Param(nameof(EmaLength), 14)
			.SetDisplay("EMA Length", "EMA trend filter period.", "Indicators");

		_atrLength = Param(nameof(AtrLength), 10)
			.SetDisplay("ATR Length", "ATR period for stops.", "Indicators");

		_buyThreshold = Param(nameof(BuyThreshold), 30m)
			.SetDisplay("Buy Threshold", "RSI oversold level for buy.", "Signals");

		_sellThreshold = Param(nameof(SellThreshold), 70m)
			.SetDisplay("Sell Threshold", "RSI overbought level for sell.", "Signals");
	}

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

	public int RsiLength
	{
		get => _rsiLength.Value;
		set => _rsiLength.Value = value;
	}

	public int EmaLength
	{
		get => _emaLength.Value;
		set => _emaLength.Value = value;
	}

	public int AtrLength
	{
		get => _atrLength.Value;
		set => _atrLength.Value = value;
	}

	public decimal BuyThreshold
	{
		get => _buyThreshold.Value;
		set => _buyThreshold.Value = value;
	}

	public decimal SellThreshold
	{
		get => _sellThreshold.Value;
		set => _sellThreshold.Value = value;
	}

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

		_prevRsi = 0;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_prevRsi = 0;

		var rsi = new RelativeStrengthIndex { Length = RsiLength };
		var ema = new ExponentialMovingAverage { Length = EmaLength };
		var atr = new AverageTrueRange { Length = AtrLength };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(rsi, ema, atr, ProcessCandle)
			.Start();

		StartProtection(
			takeProfit: new Unit(2, UnitTypes.Percent),
			stopLoss: new Unit(1, UnitTypes.Percent)
		);

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

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

		if (_prevRsi == 0)
		{
			_prevRsi = rsiVal;
			return;
		}

		// Entry: RSI crosses threshold
		if (Position == 0)
		{
			if (rsiVal < BuyThreshold && _prevRsi >= BuyThreshold)
			{
				BuyMarket();
			}
			else if (rsiVal > SellThreshold && _prevRsi <= SellThreshold)
			{
				SellMarket();
			}
		}

		_prevRsi = rsiVal;
	}
}