Auf GitHub ansehen

RSI Crossover Strategy with Compounding (Monthly)

This strategy invests the entire capital when the monthly RSI closes above its SMA and exits when RSI falls below the SMA. Gains are added to the capital for compounding.

Backtests suggest an average annual return around 20%. It works best on stocks.

Details

  • Entry Criteria: RSI above its SMA
  • Long/Short: Long
  • Exit Criteria: RSI below its SMA
  • Stops: No
  • Default Values:
    • CandleType = 1 month
    • RsiPeriod = 14
    • InitialCapital = 100000
  • Filters:
    • Category: Trend-following
    • Direction: Long
    • Indicators: RSI, SMA
    • Stops: No
    • Complexity: Beginner
    • Timeframe: Monthly
    • 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>
/// RSI crossover with compounding monthly strategy using EMA crossover.
/// </summary>
public class RsiCrossoverWithCompoundingMonthlyStrategy : Strategy
{
	private readonly StrategyParam<int> _slowLength;
	private readonly StrategyParam<DataType> _candleType;

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

	public RsiCrossoverWithCompoundingMonthlyStrategy()
	{
		_slowLength = Param(nameof(SlowLength), 40)
			.SetGreaterThanZero()
			.SetDisplay("Slow Length", "Slow EMA period", "General");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Candle type", "General");
	}

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

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);
		var fast = new ExponentialMovingAverage { Length = 14 };
		var slow = new ExponentialMovingAverage { Length = SlowLength };
		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); }
	}
}