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Multi-Timeframe Parabolic SAR

Combines Parabolic SAR signals from multiple timeframes. Long trades trigger when price stays above the SAR levels selected by the parameters. Short trades appear when price falls below the chosen SARs. Optional stop loss, trailing stop and take profit are available.

Details

  • Entry Criteria:
    • Long: Price above SAR according to LongSource setting.
    • Short: Price below SAR according to ShortSource setting.
  • Exit Criteria:
    • Opposite SAR crossover or protection triggers.
  • Indicators:
    • Parabolic SAR on current timeframe
    • Optional Parabolic SAR on higher and lower timeframes
  • Stops: Optional stop loss, trailing stop, take profit via StartProtection.
  • Default Values:
    • Acceleration = 0.02
    • MaxAcceleration = 0.2
    • StopLossPercent = 1
    • TrailingPercent = 0.5
    • TakeProfitPercent = 2
  • Filters:
    • Timeframe: main 5m, higher 1d, lower 1m
    • Indicators: Parabolic SAR
    • Stops: optional
    • Complexity: Moderate
using System;
using System.Linq;
using System.Collections.Generic;

using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;

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

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Parabolic SAR-style strategy using EMA and RSI.
/// </summary>
public class MultiTimeframeParabolicSarStrategy : Strategy
{
	private readonly StrategyParam<int> _emaLength;
	private readonly StrategyParam<int> _rsiLength;
	private readonly StrategyParam<DataType> _candleType;

	public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
	public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public MultiTimeframeParabolicSarStrategy()
	{
		_emaLength = Param(nameof(EmaLength), 20)
			.SetGreaterThanZero()
			.SetDisplay("EMA", "EMA period", "Indicators");
		_rsiLength = Param(nameof(RsiLength), 14)
			.SetGreaterThanZero()
			.SetDisplay("RSI", "RSI period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(2).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles", "General");
	}

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

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

		var subscription = SubscribeCandles(CandleType);

		subscription
			.Bind(ema, rsi, (candle, emaVal, rsiVal) =>
			{
				if (candle.State != CandleStates.Finished)
					return;

				if (!ema.IsFormed || !rsi.IsFormed)
					return;

				// Buy when price above EMA and RSI confirms uptrend
				if (candle.ClosePrice > emaVal && rsiVal > 50 && Position <= 0)
					BuyMarket();
				// Sell when price below EMA and RSI confirms downtrend
				else if (candle.ClosePrice < emaVal && rsiVal < 50 && Position > 0)
					SellMarket();
			})
			.Start();

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