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Polynomial Regression Bands Channel Strategy

This strategy fits a polynomial regression line to recent prices and builds upper and lower bands from the standard deviation of residuals. Long positions are opened when price falls below the lower band and short positions are opened when price rises above the upper band.

Details

  • Entry Criteria:
    • Long: Close < LowerBand.
    • Short: Close > UpperBand.
  • Long/Short: Both sides.
  • Exit Criteria:
    • Opposite signal.
  • Stops: No.
  • Default Values:
    • Length = 100.
    • Degree = 2.
    • Std Dev Multiplier = 2.
  • Filters:
    • Category: Mean reversion
    • Direction: Both
    • Indicators: Polynomial regression
    • Stops: No
    • Complexity: Moderate
    • Timeframe: Medium-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>
/// Polynomial Regression Bands Channel strategy.
/// Uses Bollinger Bands as channel approximation with EMA crossover signals.
/// </summary>
public class PolynomialRegressionBandsChannelStrategy : Strategy
{
	private readonly StrategyParam<int> _length;
	private readonly StrategyParam<DataType> _candleType;

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

	public PolynomialRegressionBandsChannelStrategy()
	{
		_length = Param(nameof(Length), 40)
			.SetGreaterThanZero()
			.SetDisplay("Length", "Slow EMA period", "General");

		_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 OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var fast = new ExponentialMovingAverage { Length = 14 };
		var slow = new ExponentialMovingAverage { Length = Length };

		var prevF = 0m;
		var prevS = 0m;
		var init = false;
		var lastSignal = DateTimeOffset.MinValue;
		var cooldown = TimeSpan.FromMinutes(360);

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(fast, slow, (candle, f, s) =>
			{
				if (candle.State != CandleStates.Finished)
					return;

				if (!fast.IsFormed || !slow.IsFormed)
					return;

				if (!init)
				{
					prevF = f;
					prevS = s;
					init = true;
					return;
				}

				if (candle.OpenTime - lastSignal >= cooldown)
				{
					if (prevF <= prevS && f > s && Position <= 0)
					{
						BuyMarket();
						lastSignal = candle.OpenTime;
					}
					else if (prevF >= prevS && f < s && Position >= 0)
					{
						SellMarket();
						lastSignal = candle.OpenTime;
					}
				}

				prevF = f;
				prevS = s;
			})
			.Start();

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