ATR 疲劳策略
平均真实波幅(ATR)的突然飙升意味着波动扩大,但往往很快衰减。本策略寻找 ATR 高于其均线一定倍数的情况,配合反转蜡烛捕捉随后的回落。
测试表明年均收益约为 139%,该策略在股票市场表现最佳。
每根K线更新 ATR 及其平均值。如果 ATR 超过均值乘以设定倍数且蜡烛收盘方向与前一波相反,则开仓。止损也基于 ATR 倍数,将风险与当前波动联系起来。
仓位通常依靠止损退出,目标是利用波动爆发后迅速回调的机会。
细节
- 入场条件:ATR 高于均线且出现反转蜡烛。
- 多/空:双向。
- 退出条件:止损。
- 止损:有,基于 ATR。
- 默认值:
AtrPeriod= 14AtrAvgPeriod= 20AtrMultiplier= 1.5MaPeriod= 20StopLoss= 2%CandleType= 5 分钟
- 过滤条件:
- 类别: 反转
- 方向: 双向
- 指标: ATR, MA
- 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>
/// ATR Exhaustion strategy.
/// Enters when ATR spikes (current ATR significantly higher than previous ATR).
/// ATR spike + bullish candle = buy.
/// ATR spike + bearish candle = sell.
/// Exits on SMA cross.
/// </summary>
public class AtrExhaustionStrategy : Strategy
{
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevAtr;
private int _cooldown;
/// <summary>
/// ATR period.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AtrExhaustionStrategy()
{
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetRange(7, 21)
.SetDisplay("ATR Period", "Period for ATR", "Indicators");
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevAtr = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevAtr = 0;
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MAPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawIndicator(area, atr);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevAtr = atrValue;
return;
}
if (_prevAtr == 0)
{
_prevAtr = atrValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevAtr = atrValue;
return;
}
// ATR spike: current ATR significantly higher than previous
var atrSpike = _prevAtr > 0 && atrValue > _prevAtr * 1.3m;
var isBullish = candle.ClosePrice > candle.OpenPrice;
var isBearish = candle.ClosePrice < candle.OpenPrice;
if (Position == 0 && atrSpike && isBullish)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && atrSpike && isBearish)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevAtr = atrValue;
}
}
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 SimpleMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class atr_exhaustion_strategy(Strategy):
"""
ATR Exhaustion strategy.
Enters when ATR spikes (current ATR significantly higher than previous ATR).
ATR spike + bullish candle = buy.
ATR spike + bearish candle = sell.
Exits on SMA cross.
"""
def __init__(self):
super(atr_exhaustion_strategy, self).__init__()
self._atr_period = self.Param("AtrPeriod", 14).SetDisplay("ATR Period", "Period for ATR", "Indicators")
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_atr = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(atr_exhaustion_strategy, self).OnReseted()
self._prev_atr = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(atr_exhaustion_strategy, self).OnStarted2(time)
self._prev_atr = 0.0
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawIndicator(area, atr)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val, atr_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_atr = float(atr_val)
return
av = float(atr_val)
if self._prev_atr == 0:
self._prev_atr = av
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_atr = av
return
# ATR spike: current ATR significantly higher than previous
atr_spike = self._prev_atr > 0 and av > self._prev_atr * 1.3
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
sv = float(sma_val)
close = float(candle.ClosePrice)
cd = self._cooldown_bars.Value
if self.Position == 0 and atr_spike and is_bullish:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and atr_spike and is_bearish:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > sv:
self.BuyMarket()
self._cooldown = cd
self._prev_atr = av
def CreateClone(self):
return atr_exhaustion_strategy()