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Artificial Intelligence Perceptron Strategy

This strategy uses the Accelerator Oscillator (AC) values as inputs to a simple linear perceptron. Four AC readings spaced seven bars apart are weighted by user-defined coefficients. A positive perceptron output opens a long position, and a negative output opens a short.

The strategy always applies a stop-loss. If an opposite signal appears after profit exceeds twice the stop-loss, the position reverses with increased volume. Otherwise, the stop-loss moves to break-even.

Details

  • Entry Criteria:
    • Long: Perceptron output > 0.
    • Short: Perceptron output < 0.
  • Long/Short: Both.
  • Exit Criteria:
    • Opposite signal with profit > 2 * StopLoss → reverse.
    • Opposite signal with smaller profit → stop moved to entry.
    • Stop-loss hit.
  • Stops: Fixed stop-loss in points.
  • Filters: None.

Parameters

  • StopLoss – stop-loss distance in points (default 850).
  • Shift – bar shift for indicator values (default 1).
  • X1, X2, X3, X4 – perceptron weights.
  • CandleType – candle timeframe.
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>
/// EMA crossover strategy.
/// </summary>
public class ArtificialIntelligencePerceptronStrategy : Strategy
{
	private readonly StrategyParam<int> _fastPeriod;
	private readonly StrategyParam<int> _slowPeriod;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevFast;
	private decimal _prevSlow;
	private bool _hasPrev;

	public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
	public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public ArtificialIntelligencePerceptronStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 12)
			.SetGreaterThanZero()
			.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
		_slowPeriod = Param(nameof(SlowPeriod), 26)
			.SetGreaterThanZero()
			.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Candle type", "General");
	}

	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
		=> [(Security, CandleType)];

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFast = 0;
		_prevSlow = 0;
		_hasPrev = false;
	}

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

		var fast = new ExponentialMovingAverage { Length = FastPeriod };
		var slow = new ExponentialMovingAverage { Length = SlowPeriod };

		SubscribeCandles(CandleType)
			.Bind(fast, slow, ProcessCandle)
			.Start();
	}

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

		if (!_hasPrev)
		{
			_prevFast = fastVal;
			_prevSlow = slowVal;
			_hasPrev = true;
			return;
		}

		var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
		var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;

		if (crossUp && Position <= 0)
		{
			if (Position < 0) BuyMarket();
			BuyMarket();
		}
		else if (crossDown && Position >= 0)
		{
			if (Position > 0) SellMarket();
			SellMarket();
		}

		_prevFast = fastVal;
		_prevSlow = slowVal;
	}
}