VWAP 平均回帰戦略
この戦略は、出来高加重平均価格(VWAP)から離れる動きに逆張りします。ATRを使用して、リバーサルトレードを考慮する前に価格がVWAPからどれだけ乖離する必要があるかを測定します。
テストでは年平均リターンは約58%を示しています。株式市場で最もよいパフォーマンスを発揮します。
価格がVWAPをK倍のATRより大きく下回ったときにロングポジションを建てます。価格が同じ量だけVWAPを上回ったときにショートポジションを取ります。価格がVWAPラインに戻り次第、トレードを決済します。
このアプローチは、強いトレンドではなくVWAPを中心に価格が振動することを期待するイントラデイトレーダー向けに設計されています。ATRの倍数としてサイズ調整されたストップが、トレードに逆らって動きが継続した場合の損失をコントロールするのに役立ちます。
詳細
- エントリー条件:
- ロング: Close < VWAP - K * ATR
- ショート: Close > VWAP + K * ATR
- ロング/ショート: 両方。
- エグジット条件:
- ロング: close >= VWAP のときに決済
- ショート: close <= VWAP のときに決済
- ストップ: あり、ATRベースのストップ。
- デフォルト値:
K= 2CandleType= TimeSpan.FromMinutes(5)AtrPeriod= 14 市場は24時間取引のため、セッションVWAPはUTCの毎日リセットされ、各足の典型価格を出来高で加重します。ストップはエントリー時の終値からAtrPeriod本のATRのK倍離れた位置に置かれ、ローソク足の終値で確認されます。 保有ポジションと逆方向のエントリーシグナルはドテンになります。
- フィルター:
- カテゴリ: 平均回帰
- 方向: 両方
- インジケーター: VWAP, ATR
- ストップ: はい
- 複雑さ: 中級
- 時間軸: イントラデイ
- 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>
/// VWAP Mean Reversion strategy.
/// The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
/// A close more than K times the AtrPeriod ATR below VWAP 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 VWAP and a short once it is back at or below it. The stop lies K ATR from the entry
/// close and is checked on candle closes.
/// </summary>
public class VwapMeanReversionStrategy : Strategy
{
private readonly StrategyParam<decimal> _k;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
private decimal _stopPrice;
/// <summary>
/// ATR multiplier for the entry distance and the stop.
/// </summary>
public decimal K
{
get => _k.Value;
set => _k.Value = value;
}
/// <summary>
/// Period of the ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public VwapMeanReversionStrategy()
{
_k = Param(nameof(K), 2m)
.SetGreaterThanZero()
.SetDisplay("K", "ATR multiplier for the entry distance and the stop", "Parameters");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the ATR", "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();
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
_stopPrice = default;
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, atr);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_day != day)
{
_day = day;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
var typicalPrice = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3;
_cumulativePriceVolume += typicalPrice * candle.TotalVolume;
_cumulativeVolume += candle.TotalVolume;
if (!atrValue.IsFormed || _cumulativeVolume <= 0)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var distance = K * atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (close < vwap - distance && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - distance;
}
else if (close > vwap + distance && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + distance;
}
else if (Position > 0 && (close >= vwap || close <= _stopPrice))
{
SellMarket(Position);
}
else if (Position < 0 && (close <= vwap || 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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class vwap_mean_reversion_strategy(Strategy):
"""
VWAP Mean Reversion strategy.
The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
A close more than K times the AtrPeriod ATR below VWAP 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 VWAP and a short once it is back at or below it. The stop lies K ATR from the entry
close and is checked on candle closes.
"""
def __init__(self):
super(vwap_mean_reversion_strategy, self).__init__()
self._k = self.Param("K", 2.0).SetGreaterThanZero().SetDisplay("K", "ATR multiplier for the entry distance and the stop", "Parameters")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the ATR", "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._day = None
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
self._stop_price = Decimal(0)
def OnReseted(self):
super(vwap_mean_reversion_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(vwap_mean_reversion_strategy, self).OnStarted2(time)
self._reset_state()
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, atr)
def _process_candle(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._day is None or self._day != day:
self._day = day
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
typical_price = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / Decimal(3)
self._cumulative_price_volume += typical_price * candle.TotalVolume
self._cumulative_volume += candle.TotalVolume
if not atr_value.IsFormed or self._cumulative_volume <= 0:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
vwap = self._cumulative_price_volume / self._cumulative_volume
distance = Decimal(self._k.Value) * atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
if close < vwap - distance and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - distance
elif close > vwap + distance and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + distance
elif self.Position > 0 and (close >= vwap or close <= self._stop_price):
self.SellMarket(self.Position)
elif self.Position < 0 and (close <= vwap or close >= self._stop_price):
self.BuyMarket(-self.Position)
def CreateClone(self):
return vwap_mean_reversion_strategy()