ATR Mean Reversion 策略
此策略衡量价格偏离移动平均线的距离与近期波动(ATR)的比值。价格偏离越大,ATR阈值越宽,动态适应市场活跃程度。
测试表明年均收益约为 109%,该策略在加密市场表现最佳。
当收盘价低于均线Multiplier*ATR以上时做多;当收盘价高于均线同样距离时做空。价格回到均线时离场。ATR止损保持风险与当前波动相匹配。
适合短线交易者,在过度波动后期望价格回归均值。
细节
- 入场条件:
- 多头:
Close < MA - Multiplier * ATR - 空头:
Close > MA + Multiplier * ATR
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: 收盘价>= MA
- 空头: 收盘价<= MA
- 止损: 默认约
2*ATR - 默认值:
MaPeriod= 20AtrPeriod= 14Multiplier= 2 MA为MaPeriod周期简单移动平均,ATR为AtrPeriod周期平均真实波幅。止损距入场收盘价Multiplier倍ATR,默认2倍ATR,按K线收盘检查。与持仓方向相反的入场信号会反转持仓。CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类别: Mean Reversion
- 方向: 双向
- 指标: MA, ATR
- 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
- 风险等级: 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>
/// ATR Mean Reversion strategy.
/// A close more than Multiplier times the AtrPeriod ATR below the MaPeriod simple moving average goes long and one that far above it goes
/// short, reversing an opposite position. A long closes once the close is back at or above the average and a short once it is back at or
/// below it. The stop lies Multiplier ATR from the entry close and is checked on candle closes.
/// </summary>
public class AtrMeanReversionStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
/// <summary>
/// Period of the simple moving average.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Period of the ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR multiplier for the entry distance and the stop.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AtrMeanReversionStrategy()
{
_maPeriod = Param(nameof(MaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period of the simple moving average", "Parameters");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the ATR", "Parameters");
_multiplier = Param(nameof(Multiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("Multiplier", "ATR multiplier for the entry distance and the stop", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_stopPrice = default;
var sma = new SimpleMovingAverage { Length = MaPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sma, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, atr);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue smaValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!smaValue.IsFormed || !atrValue.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var sma = smaValue.GetValue<decimal>();
var distance = Multiplier * atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (close < sma - distance && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - distance;
}
else if (close > sma + distance && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + distance;
}
else if (Position > 0 && (close >= sma || close <= _stopPrice))
{
SellMarket(Position);
}
else if (Position < 0 && (close <= sma || close >= _stopPrice))
{
BuyMarket(-Position);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class atr_mean_reversion_strategy(Strategy):
"""
ATR Mean Reversion strategy.
A close more than Multiplier times the AtrPeriod ATR below the MaPeriod simple moving average goes long and one that far above it goes
short, reversing an opposite position. A long closes once the close is back at or above the average and a short once it is back at or
below it. The stop lies Multiplier ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(atr_mean_reversion_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 20).SetGreaterThanZero().SetDisplay("MA Period", "Period of the simple moving average", "Parameters")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the ATR", "Parameters")
self._multiplier = self.Param("Multiplier", 2.0).SetGreaterThanZero().SetDisplay("Multiplier", "ATR multiplier for the entry distance and the stop", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._stop_price = Decimal(0)
def OnReseted(self):
super(atr_mean_reversion_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(atr_mean_reversion_strategy, self).OnStarted2(time)
self._reset_state()
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sma, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, atr)
def _process_candle(self, candle, sma_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not sma_value.IsFormed or not atr_value.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
sma = sma_value.GetValue[Decimal](None)
distance = Decimal(self._multiplier.Value) * atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
if close < sma - distance and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - distance
elif close > sma + distance and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + distance
elif self.Position > 0 and (close >= sma or close <= self._stop_price):
self.SellMarket(self.Position)
elif self.Position < 0 and (close <= sma or close >= self._stop_price):
self.BuyMarket(-self.Position)
def CreateClone(self):
return atr_mean_reversion_strategy()