ZScore Reversal 策略
该策略通过计算价格相对于移动平均线的标准差距离(Z分数)来衡量偏离程度,捕捉可能向均值回归的极端状态。
测试表明年均收益约为 91%,该策略在股票市场表现最佳。
当Z分数低于负阈值时做多,表明市场超卖;当Z分数高于正阈值时做空。Z分数回到0附近时平仓。
适合喜欢客观入场标准的均值回归交易者。百分比止损在等待回归期间限制损失。
细节
- 入场条件:
- 多头:
ZScore < -Threshold - 空头:
ZScore > Threshold
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: 当ZScore上穿0时平仓
- 空头: 当ZScore下穿0时平仓
- 止损: 百分比止损
- 默认值:
LookbackPeriod= 20ZScoreThreshold= 2StopLossPercent= 2 Z-Score = (收盘价 - SMA) / StdDev,简单移动平均与收盘价标准差均基于同样的LookbackPeriod根K线。止损为入场价的固定StopLossPercent百分比,在K线之间同样监控。与持仓方向相反的入场信号会反转持仓。CandleType= TimeSpan.FromMinutes(10)
- 过滤器:
- 类别: Mean Reversion
- 方向: 双向
- 指标: Z-Score
- 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>
/// ZScore Reversal strategy.
/// The Z-Score is the distance of the close from the LookbackPeriod simple moving average in standard deviations over the same candles.
/// A Z-Score below minus ZScoreThreshold goes long and one above ZScoreThreshold goes short, reversing an opposite position.
/// A long closes once the Z-Score crosses above zero and a short once it crosses below, and a percent stop limits the loss.
/// </summary>
public class ZScoreReversalStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _zScoreThreshold;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// Period of the moving average and the standard deviation.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Z-Score distance from zero that opens a position.
/// </summary>
public decimal ZScoreThreshold
{
get => _zScoreThreshold.Value;
set => _zScoreThreshold.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ZScoreReversalStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Period of the moving average and the standard deviation", "Indicators");
_zScoreThreshold = Param(nameof(ZScoreThreshold), 2m)
.SetGreaterThanZero()
.SetDisplay("Z-Score Threshold", "Z-Score distance from zero that opens a position", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(10).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 OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ma = new SimpleMovingAverage { Length = LookbackPeriod };
var stdev = new StandardDeviation { Length = LookbackPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(ma, stdev, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, stdev);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue maValue, IIndicatorValue stdDevValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!maValue.IsFormed || !stdDevValue.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var deviation = stdDevValue.GetValue<decimal>();
if (deviation == 0)
return;
var zScore = (candle.ClosePrice - maValue.GetValue<decimal>()) / deviation;
if (zScore < -ZScoreThreshold && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (zScore > ZScoreThreshold && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && zScore > 0)
SellMarket(Position);
else if (Position < 0 && zScore < 0)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class z_score_reversal_strategy(Strategy):
"""
ZScore Reversal strategy.
The Z-Score is the distance of the close from the LookbackPeriod simple moving average in standard deviations over the same candles.
A Z-Score below minus ZScoreThreshold goes long and one above ZScoreThreshold goes short, reversing an opposite position.
A long closes once the Z-Score crosses above zero and a short once it crosses below, and a percent stop limits the loss.
"""
def __init__(self):
super(z_score_reversal_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20).SetGreaterThanZero().SetDisplay("Lookback Period", "Period of the moving average and the standard deviation", "Indicators")
self._z_score_threshold = self.Param("ZScoreThreshold", 2.0).SetGreaterThanZero().SetDisplay("Z-Score Threshold", "Z-Score distance from zero that opens a position", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(10))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(z_score_reversal_strategy, self).OnStarted2(time)
ma = SimpleMovingAverage()
ma.Length = self._lookback_period.Value
stdev = StandardDeviation()
stdev.Length = self._lookback_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(ma, stdev, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, stdev)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, ma_value, std_dev_value):
if candle.State != CandleStates.Finished:
return
if not ma_value.IsFormed or not std_dev_value.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
deviation = std_dev_value.GetValue[Decimal](None)
if deviation == 0:
return
z_score = (candle.ClosePrice - ma_value.GetValue[Decimal](None)) / deviation
threshold = Decimal(self._z_score_threshold.Value)
if z_score < -threshold and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif z_score > threshold and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and z_score > 0:
self.SellMarket(self.Position)
elif self.Position < 0 and z_score < 0:
self.BuyMarket(-self.Position)
def CreateClone(self):
return z_score_reversal_strategy()