ZScore 戦略
平均回帰取引のためのZ-Scoreインジケーターに基づく戦略
テストでは年平均リターン約121%が示されています。暗号通貨市場で最もパフォーマンスが高くなります。
ZScoreは移動平均からの価格偏差を測定します。極端に高いまたは低いZ-scoreは過度な伸長を示し、逆方向のトレードを促します。トレードはZ-scoreが正常化したときに終了します。
Z-Scoreは任意の時系列にスケールできるため、柔軟なフィルターです。ボラティリティ調整された出口を使用することで、変化する市場環境への適応を助けます。
詳細
- エントリー条件: MA、ZScoreに基づくシグナル。
- ロング/ショート: 両方。
- エグジット条件: 逆シグナルまたはストップ。
- ストップ: はい。
- デフォルト値:
ZScoreEntryThreshold= 2.0mZScoreExitThreshold= 0.0mMAPeriod= 20StdDevPeriod= 20StopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- フィルター:
- カテゴリ: 平均回帰
- 方向: 両方
- インジケーター: MA, ZScore
- ストップ: はい
- 複雑さ: 基本
- 時間軸: イントラデイ (5m)
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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>
/// Strategy based on Z-Score indicator for mean reversion trading.
/// Z-Score measures the distance from the price to its moving average in standard deviations.
/// </summary>
public class ZScoreStrategy : Strategy
{
private readonly StrategyParam<decimal> _zScoreEntryThreshold;
private readonly StrategyParam<decimal> _zScoreExitThreshold;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _stdDevPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _stopLossPercent;
private Order _pendingOrder;
/// <summary>
/// Z-Score threshold for entry (default: 2.0)
/// </summary>
public decimal ZScoreEntryThreshold
{
get => _zScoreEntryThreshold.Value;
set => _zScoreEntryThreshold.Value = value;
}
/// <summary>
/// Half-width of the neutral exit zone (default: 0).
/// </summary>
public decimal ZScoreExitThreshold
{
get => _zScoreExitThreshold.Value;
set => _zScoreExitThreshold.Value = value;
}
/// <summary>
/// Period for Moving Average calculation (default: 20)
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Period for Standard Deviation calculation (default: 20)
/// </summary>
public int StdDevPeriod
{
get => _stdDevPeriod.Value;
set => _stdDevPeriod.Value = value;
}
/// <summary>
/// Type of candles used for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the Z-Score strategy.
/// </summary>
public ZScoreStrategy()
{
_zScoreEntryThreshold = Param(nameof(ZScoreEntryThreshold), 2m).SetGreaterThanZero()
.SetDisplay("Z-Score Entry", "Distance from mean in std devs for entry", "Z-Score")
.SetOptimize(1.5m, 3.0m, 0.5m);
_zScoreExitThreshold = Param(nameof(ZScoreExitThreshold), 0m).SetNotNegative()
.SetDisplay("Z-Score Exit", "Half-width of the neutral exit zone in standard deviations", "Z-Score")
.SetOptimize(0.0m, 1.0m, 0.2m);
_maPeriod = Param(nameof(MAPeriod), 20).SetGreaterThanZero()
.SetDisplay("MA Period", "Period for Moving Average", "Indicators")
.SetOptimize(10, 50, 5);
_stdDevPeriod = Param(nameof(StdDevPeriod), 20).SetGreaterThanZero()
.SetDisplay("StdDev Period", "Period for Standard Deviation", "Indicators")
.SetOptimize(10, 50, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
OrderRegistering += order => _pendingOrder = order;
}
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType), (Security, DataType.Level1)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_pendingOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (ZScoreExitThreshold >= ZScoreEntryThreshold)
throw new InvalidOperationException("ZScoreExitThreshold must be below ZScoreEntryThreshold.");
var sma = new SimpleMovingAverage { Length = MAPeriod };
var stdDev = new StandardDeviation { Length = StdDevPeriod };
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
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 subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sma, stdDev, ProcessCandle, false)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawIndicator(area, stdDev);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// Native protection runs before the callback, including between finished candles.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue maValue, IIndicatorValue stdDevValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!maValue.IsFormed || !stdDevValue.IsFormed || !IsFormedAndOnlineAndAllowTrading())
return;
if (_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
return;
var sigma = stdDevValue.GetValue<decimal>();
// A constant-price variance window is explicitly neutral, not an exit blackout.
var zScore = sigma == 0m ? 0m : (candle.ClosePrice - maValue.GetValue<decimal>()) / sigma;
if (Position > 0m && zScore >= -ZScoreExitThreshold)
SellMarket(Position);
else if (Position < 0m && zScore <= ZScoreExitThreshold)
BuyMarket(Math.Abs(Position));
else if (Position == 0m && zScore < -ZScoreEntryThreshold)
BuyMarket(Volume);
else if (Position == 0m && zScore > ZScoreEntryThreshold)
SellMarket(Volume);
}
}
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, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class z_score_strategy(Strategy):
"""
Z-Score mean reversion strategy.
Buys when Z-Score is below negative threshold, sells when above positive threshold.
"""
def __init__(self):
super(z_score_strategy, self).__init__()
self._z_entry = self.Param("ZScoreEntryThreshold", 2.0).SetGreaterThanZero().SetDisplay("Z-Score Entry", "Distance from mean in std devs for entry", "Z-Score")
self._z_exit = self.Param("ZScoreExitThreshold", 0.0).SetNotNegative().SetDisplay("Z-Score Exit", "Half-width of the neutral exit zone in standard deviations", "Z-Score")
self._ma_period = self.Param("MAPeriod", 20).SetGreaterThanZero().SetDisplay("MA Period", "Period for Moving Average", "Indicators")
self._std_period = self.Param("StdDevPeriod", 20).SetGreaterThanZero().SetDisplay("StdDev Period", "Period for Standard Deviation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative() \
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._pending_order = None
self.OrderRegistering += self._track_pending
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(z_score_strategy, self).OnReseted()
self._pending_order = None
def OnStarted2(self, time):
super(z_score_strategy, self).OnStarted2(time)
if self._z_exit.Value >= self._z_entry.Value:
raise ValueError("ZScoreExitThreshold must be below ZScoreEntryThreshold.")
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
std = StandardDeviation()
std.Length = self._std_period.Value
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
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()
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sma, std, self._process_candle, False).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawIndicator(area, std)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between signal bars.
pass
def _process_candle(self, candle, ma_val, std_val):
if candle.State != CandleStates.Finished:
return
if not ma_val.IsFormed or not std_val.IsFormed or not self.IsFormedAndOnlineAndAllowTrading():
return
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
return
sigma = std_val.GetValue[Decimal](None)
# A constant-price variance window is explicitly neutral, not an exit blackout.
z = Decimal.Zero if sigma == 0 else (candle.ClosePrice - ma_val.GetValue[Decimal](None)) / sigma
entry = Decimal(self._z_entry.Value)
exit_t = Decimal(self._z_exit.Value)
if self.Position > 0 and z >= -exit_t:
self.SellMarket(self.Position)
elif self.Position < 0 and z <= exit_t:
self.BuyMarket(Math.Abs(self.Position))
elif self.Position == 0 and z < -entry:
self.BuyMarket(self.Volume)
elif self.Position == 0 and z > entry:
self.SellMarket(self.Volume)
def CreateClone(self):
return z_score_strategy()