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SMA RSI Volume ATR 策略

该策略结合简单移动平均线(SMA)、相对强弱指数(RSI)、成交量确认以及基于 ATR 的波动性过滤。 当价格高于 SMA、RSI 低于超卖水平、成交量高于其均值乘以阈值且波动性上升时买入;相反条件下卖出。

止损与止盈使用固定百分比。

详情

  • 入场条件
    • 做多Close > SMA && RSI < RsiOversold && Volume > AvgVolume * VolumeThreshold && ATR > ATR_{prev}
    • 做空Close < SMA && RSI > RsiOverbought && Volume > AvgVolume * VolumeThreshold && ATR > ATR_{prev}
  • 多空方向:双向
  • 出场条件:止损或止盈
  • 止损:是,百分比
  • 默认值
    • SmaLength = 50
    • RsiLength = 14
    • RsiOverbought = 70
    • RsiOversold = 30
    • VolumeThreshold = 1.5
    • AtrLength = 14
    • TakeProfitPerc = 1.5
    • StopLossPerc = 0.5
  • 筛选器
    • 类别:趋势跟随
    • 方向:双向
    • 指标:SMA、RSI、成交量、ATR
    • 止损:有
    • 复杂度:中等
    • 时间框架:日内
    • 季节性:无
    • 神经网络:无
    • 背离:无
    • 风险级别:中等
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>
/// SMA RSI volume ATR strategy using EMA crossover.
/// </summary>
public class SmaRsiVolumeAtrStrategy : 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 SmaRsiVolumeAtrStrategy()
	{
		_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); }
	}
}