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Hybrid RSI Breakout Dashboard

该策略结合 RSI 均值回归和基于 ADX 与 200 EMA 的突破交易。

当市场震荡且 RSI 低于 RsiBuy 且价格高于 EMA 时做多；当 RSI 高于 RsiSell 且价格低于 EMA 时做空。处于趋势时，突破最近 BreakoutLength 根收盘价的高/低点开仓，并使用 ATR 跟踪止损。

包含起始日期过滤以及用于显示最后一次交易类型和方向的变量。

细节

  • 入场条件：在震荡阶段使用 RSI + EMA 过滤，或在 ADX > AdxThreshold 时突破过去 BreakoutLength 根收盘价。
  • 多空方向：双向。
  • 出场条件：RSI 交易在 RsiExit 处平仓；突破交易使用 ATR 跟踪止损。
  • 止损：ATR 跟踪止损（仅突破交易）。
  • 默认值：
    • AdxLength = 14
    • AdxThreshold = 20m
    • EmaLength = 200
    • RsiLength = 14
    • RsiBuy = 40m
    • RsiSell = 60m
    • RsiExit = 50m
    • BreakoutLength = 20
    • AtrLength = 14
    • AtrMultiplier = 2m
    • StartDate = 2017-01-01
    • CandleType = TimeSpan.FromMinutes(5)
  • 过滤器：
    • 类别：趋势、均值回归
    • 方向：双向
    • 指标：ADX、EMA、RSI、ATR、Highest/Lowest
    • 止损：跟踪
    • 复杂度：中
    • 时间框架：日内 (5m)
    • 季节性：否
    • 神经网络：否
    • 背离：否
    • 风险等级：中
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;

public class HybridRsiBreakoutDashboardStrategy : Strategy
{
	private readonly StrategyParam<int> _fastEmaPeriod;
	private readonly StrategyParam<int> _slowEmaPeriod;
	private readonly StrategyParam<DataType> _candleType;
	private decimal _prevFastEma;
	private decimal _prevSlowEma;

	public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
	public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public HybridRsiBreakoutDashboardStrategy()
	{
		_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
			.SetGreaterThanZero()
			.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
		_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
			.SetGreaterThanZero()
			.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");
	}

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

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFastEma = 0m;
		_prevSlowEma = 0m;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);
		var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
		var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
		var subscription = SubscribeCandles(CandleType);
		subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawIndicator(area, fastEma);
			DrawIndicator(area, slowEma);
			DrawOwnTrades(area);
		}
	}

	private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
	{
		if (candle.State != CandleStates.Finished) return;
		if (_prevFastEma == 0m || _prevSlowEma == 0m)
		{
			_prevFastEma = fastEmaValue;
			_prevSlowEma = slowEmaValue;
			return;
		}
		if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
			BuyMarket();
		else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
			SellMarket();
		_prevFastEma = fastEmaValue;
		_prevSlowEma = slowEmaValue;
	}
}