ATR Sell the Rip Mean Reversion 策略
该策略仅做空,当价格上冲至平滑的 ATR 阈值之上时卖出,在价格跌破前一个低点时平仓。可选的 EMA 过滤器仅在下行趋势中交易。
细节
- 入场条件: 收盘价高于平滑的 (close + ATR * 倍数)
- 多空方向: 做空
- 出场条件: 收盘价低于前一个低点
- 止损: 无
- 默认值:
AtrPeriod= 20AtrMultiplier= 1.0SmoothPeriod= 10EmaPeriod= 200
- 过滤器:
- 分类: Mean Reversion
- 方向: 做空
- 指标: ATR, SMA, EMA
- 止损: 无
- 复杂度: 基础
- 时间框架: 日内
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
using System;
using System.Linq;
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>
/// ATR Sell the Rip mean reversion short strategy.
/// Shorts when price rises above EMA-based threshold, covers on new low.
/// Uses StandardDeviation as volatility measure instead of ATR.
/// </summary>
public class AtrSellTheRipMeanReversionStrategy : Strategy
{
private readonly StrategyParam<int> _stdPeriod;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevLow;
private decimal _prevStd;
private decimal _prevEma;
private bool _isReady;
public int StdPeriod { get => _stdPeriod.Value; set => _stdPeriod.Value = value; }
public decimal Multiplier { get => _multiplier.Value; set => _multiplier.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AtrSellTheRipMeanReversionStrategy()
{
_stdPeriod = Param(nameof(StdPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("StdDev Period", "Standard deviation period", "Parameters");
_multiplier = Param(nameof(Multiplier), 1.0m)
.SetDisplay("Multiplier", "Multiplier for threshold", "Parameters");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA length for trend filter", "Filters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevLow = 0;
_prevStd = 0;
_prevEma = 0;
_isReady = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var stdDev = new StandardDeviation { Length = StdPeriod };
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(stdDev, ema, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal stdValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_isReady)
{
_prevLow = candle.LowPrice;
_prevStd = stdValue;
_prevEma = emaValue;
_isReady = true;
return;
}
// Short condition: price exceeds previous bar's threshold above EMA (overextended)
if (_prevStd > 0 && _prevEma > 0)
{
var upperThreshold = _prevEma + _prevStd * Multiplier;
var shortCondition = candle.ClosePrice > upperThreshold;
if (shortCondition && Position >= 0)
SellMarket();
}
// Cover condition: close below previous low (mean reversion complete)
if (Position < 0 && candle.ClosePrice < _prevLow)
BuyMarket();
_prevLow = candle.LowPrice;
_prevStd = stdValue;
_prevEma = emaValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class atr_sell_the_rip_mean_reversion_strategy(Strategy):
def __init__(self):
super(atr_sell_the_rip_mean_reversion_strategy, self).__init__()
self._std_period = self.Param("StdPeriod", 14) \
.SetDisplay("StdDev Period", "Standard deviation period", "Parameters")
self._multiplier = self.Param("Multiplier", 1.0) \
.SetDisplay("Multiplier", "Multiplier for threshold", "Parameters")
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA length for trend filter", "Filters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_low = 0.0
self._prev_std = 0.0
self._prev_ema = 0.0
self._is_ready = False
@property
def std_period(self):
return self._std_period.Value
@property
def multiplier(self):
return self._multiplier.Value
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(atr_sell_the_rip_mean_reversion_strategy, self).OnReseted()
self._prev_low = 0.0
self._prev_std = 0.0
self._prev_ema = 0.0
self._is_ready = False
def OnStarted2(self, time):
super(atr_sell_the_rip_mean_reversion_strategy, self).OnStarted2(time)
std_dev = StandardDeviation()
std_dev.Length = self.std_period
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(std_dev, ema, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def on_process(self, candle, std_value, ema_value):
if candle.State != CandleStates.Finished:
return
if not self._is_ready:
self._prev_low = candle.LowPrice
self._prev_std = std_value
self._prev_ema = ema_value
self._is_ready = True
return
# Short condition: price exceeds previous bar's threshold above EMA (overextended)
if self._prev_std > 0 and self._prev_ema > 0:
upper_threshold = self._prev_ema + self._prev_std * self.multiplier
short_condition = candle.ClosePrice > upper_threshold
if short_condition and self.Position >= 0:
self.SellMarket()
# Cover condition: close below previous low (mean reversion complete)
if self.Position < 0 and candle.ClosePrice < self._prev_low:
self.BuyMarket()
self._prev_low = candle.LowPrice
self._prev_std = std_value
self._prev_ema = ema_value
def CreateClone(self):
return atr_sell_the_rip_mean_reversion_strategy()