中文 ZH
在 GitHub 上查看

US30 Stealth 策略

该策略基于 US30 的价格行为，结合均线斜率、吞没形态、成交量和交易时段过滤。 仓位大小根据每笔交易的风险计算，止损和止盈依赖于蜡烛的范围。

详情

  • 入场条件：趋势方向、三个连续的低高点或高低点、吞没形态、成交量与时间过滤。
  • 多空方向：双向
  • 出场条件：止盈或止损
  • 止损：固定
  • 默认参数：
    • MaLen = 50
    • VolMaLen = 20
    • HlLookback = 5
    • RrRatio = 2.2
    • MaxCandleSize = 30
    • PipValue = 1
    • RiskAmount = 50
    • LargeCandleThreshold = 25
    • MaSlopeLen = 3
    • MinSlope = 0.1
    • CandleType = TimeSpan.FromMinutes(5)
  • 过滤器：
    • 类型: Price action
    • 方向: 双向
    • 指标: SMA
    • 止损: 是
    • 复杂度: 中等
    • 时间框架: 日内
    • 季节性: 否
    • 神经网络: 否
    • 背离: 否
    • 风险级别: 中
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>
/// US30 Stealth strategy using RSI momentum with EMA trend filter.
/// </summary>
public class Us30StealthStrategy : Strategy
{
	private readonly StrategyParam<int> _maLen;
	private readonly StrategyParam<decimal> _tpPct;
	private readonly StrategyParam<decimal> _slPct;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevRsi;
	private decimal _prevFast;
	private decimal _prevSlow;
	private int _cooldown;

	public int MaLen { get => _maLen.Value; set => _maLen.Value = value; }
	public decimal TpPct { get => _tpPct.Value; set => _tpPct.Value = value; }
	public decimal SlPct { get => _slPct.Value; set => _slPct.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public Us30StealthStrategy()
	{
		_maLen = Param(nameof(MaLen), 20)
			.SetGreaterThanZero()
			.SetDisplay("MA Length", "Moving average length", "General");

		_tpPct = Param(nameof(TpPct), 1.5m)
			.SetGreaterThanZero()
			.SetDisplay("TP %", "Take profit percent", "Risk");

		_slPct = Param(nameof(SlPct), 0.5m)
			.SetGreaterThanZero()
			.SetDisplay("SL %", "Stop loss percent", "Risk");

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

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

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevRsi = 0;
		_prevFast = 0;
		_prevSlow = 0;
		_cooldown = 0;
	}

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

		var rsi = new RelativeStrengthIndex { Length = 14 };
		var emaFast = new ExponentialMovingAverage { Length = 8 };
		var emaSlow = new ExponentialMovingAverage { Length = 21 };

		var subscription = SubscribeCandles(CandleType);
		subscription.Bind(rsi, emaFast, emaSlow, ProcessCandle).Start();

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

	private void ProcessCandle(ICandleMessage candle, decimal rsiVal, decimal emaFast, decimal emaSlow)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (_prevRsi == 0 || _prevFast == 0 || _prevSlow == 0)
		{
			_prevRsi = rsiVal;
			_prevFast = emaFast;
			_prevSlow = emaSlow;
			return;
		}

		if (_cooldown > 0)
		{
			_cooldown--;
			_prevRsi = rsiVal;
			_prevFast = emaFast;
			_prevSlow = emaSlow;
			return;
		}

		var hist = emaFast - emaSlow;
		var histUp = hist > 0m;
		var histDown = hist < 0m;

		var rsiCrossUp = _prevRsi <= 50m && rsiVal > 50m;
		var rsiCrossDown = _prevRsi >= 50m && rsiVal < 50m;

		if (Position > 0 && rsiCrossDown)
		{
			SellMarket();
			_cooldown = 80;
		}
		else if (Position < 0 && rsiCrossUp)
		{
			BuyMarket();
			_cooldown = 80;
		}

		if (Position == 0)
		{
			if (rsiCrossUp && histUp)
			{
				BuyMarket();
				_cooldown = 80;
			}
			else if (rsiCrossDown && histDown)
			{
				SellMarket();
				_cooldown = 80;
			}
		}

		_prevRsi = rsiVal;
		_prevFast = emaFast;
		_prevSlow = emaSlow;
	}
}