VWAP 均值回归策略
该策略在价格偏离成交量加权平均价(VWAP)时进行反向操作。ATR 用于衡量价格离开 VWAP 的幅度,超过一定倍数才考虑进场。
测试表明年均收益约为 58%,该策略在股票市场表现最佳。
当价格低于 VWAP 且距离超过 K 倍 ATR 时开多;当价格高于 VWAP 同样幅度时做空。价格回到 VWAP 线附近即平仓。
该方法适合日内交易者,假设价格围绕 VWAP 波动。止损以 ATR 的倍数计算,以免走势继续而造成过大损失。
详细信息
- 入场条件:
- 做多: Close < VWAP - K * ATR
- 做空: Close > VWAP + K * ATR
- 多空方向: 双向
- 退出条件:
- 做多: Exit when close >= VWAP
- 做空: Exit when close <= VWAP
- 止损: 是
- 默认值:
K= 2.0mCandleType= TimeSpan.FromMinutes(5)AtrPeriod= 14
- 筛选条件:
- 类别: 均值回归
- 方向: 双向
- 指标: VWAP, 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.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// VWAP Mean Reversion Strategy.
/// Enter when price deviates from VWAP by a certain ATR multiple.
/// Exit when price returns to VWAP.
/// </summary>
public class VwapMeanReversionStrategy : Strategy
{
private readonly StrategyParam<decimal> _kParam;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _atrPeriod;
private AverageTrueRange _atr;
private VolumeWeightedMovingAverage _vwap;
private decimal _currentAtr;
private decimal _currentVwap;
/// <summary>
/// ATR multiplier for entry.
/// </summary>
public decimal K
{
get => _kParam.Value;
set => _kParam.Value = value;
}
/// <summary>
/// Type of candles to use.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// ATR period.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="VwapMeanReversionStrategy"/>.
/// </summary>
public VwapMeanReversionStrategy()
{
_kParam = Param(nameof(K), 2.0m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "ATR multiplier for entry distance from VWAP", "Strategy Parameters")
.SetOptimize(1.0m, 4.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "Strategy Parameters");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR indicator period", "Strategy Parameters")
.SetOptimize(10, 20, 2);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_atr = null;
_vwap = null;
_currentAtr = default;
_currentVwap = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
_atr = new AverageTrueRange { Length = AtrPeriod };
_vwap = new VolumeWeightedMovingAverage { Length = AtrPeriod };
// Create subscription for candles
var subscription = SubscribeCandles(CandleType);
// Bind indicators to candles
subscription
.Bind(_atr, ProcessATR)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _atr);
DrawOwnTrades(area);
}
// Enable position protection
StartProtection(
takeProfit: new Unit(5, UnitTypes.Percent),
stopLoss: new Unit(2, UnitTypes.Percent)
);
}
private void ProcessATR(ICandleMessage candle, decimal atr)
{
if (candle.State != CandleStates.Finished)
return;
try
{
_currentVwap = _vwap.Process(candle).ToDecimal();
}
catch
{
return;
}
_currentAtr = atr;
ProcessStrategy(candle.ClosePrice);
}
private void ProcessStrategy(decimal currentPrice)
{
// Check if strategy is ready for trading
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Skip if we don't have valid VWAP or ATR yet
if (_currentVwap <= 0 || _currentAtr <= 0)
return;
// Calculate distance to VWAP
var upperBand = _currentVwap + K * _currentAtr;
var lowerBand = _currentVwap - K * _currentAtr;
LogInfo($"Current Price: {currentPrice}, VWAP: {_currentVwap}, Upper: {upperBand}, Lower: {lowerBand}");
// Entry logic
if (Position == 0)
{
// Long Entry: Price is below lower band
if (currentPrice < lowerBand)
{
// Buy when price is too low compared to VWAP
LogInfo($"Buy Signal - Price ({currentPrice}) < Lower Band ({lowerBand})");
BuyMarket(Volume);
}
// Short Entry: Price is above upper band
else if (currentPrice > upperBand)
{
// Sell when price is too high compared to VWAP
LogInfo($"Sell Signal - Price ({currentPrice}) > Upper Band ({upperBand})");
SellMarket(Volume);
}
}
// Exit logic
else if (Position > 0 && currentPrice > _currentVwap)
{
// Exit Long: Price returned to VWAP
LogInfo($"Exit Long - Price ({currentPrice}) > VWAP ({_currentVwap})");
SellMarket(Math.Abs(Position));
}
else if (Position < 0 && currentPrice < _currentVwap)
{
// Exit Short: Price returned to VWAP
LogInfo($"Exit Short - Price ({currentPrice}) < VWAP ({_currentVwap})");
BuyMarket(Math.Abs(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, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import AverageTrueRange, VolumeWeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class vwap_mean_reversion_strategy(Strategy):
"""
VWAP Mean Reversion Strategy.
Enter when price deviates from VWAP by a certain ATR multiple.
Exit when price returns to VWAP.
"""
def __init__(self):
super(vwap_mean_reversion_strategy, self).__init__()
# Initialize strategy parameters
self._k_param = self.Param("K", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("ATR Multiplier", "ATR multiplier for entry distance from VWAP", "Strategy Parameters") \
.SetCanOptimize(True) \
.SetOptimize(1.0, 4.0, 0.5)
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "Strategy Parameters")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("ATR Period", "ATR indicator period", "Strategy Parameters") \
.SetCanOptimize(True) \
.SetOptimize(10, 20, 2)
# Internal indicators
self._atr = None
self._vwap = None
self._current_atr = 0
self._current_vwap = 0
@property
def K(self):
"""ATR multiplier for entry."""
return self._k_param.Value
@K.setter
def K(self, value):
self._k_param.Value = value
@property
def CandleType(self):
"""Type of candles to use."""
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def AtrPeriod(self):
"""ATR period."""
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
def GetWorkingSecurities(self):
"""!! REQUIRED!! Override to return securities used by the strategy."""
return [(self.Security, self.CandleType)]
def OnStarted2(self, time):
"""Set up indicators, subscriptions and protection."""
super(vwap_mean_reversion_strategy, self).OnStarted2(time)
# Create indicators
self._atr = AverageTrueRange()
self._atr.Length = self.AtrPeriod
self._vwap = VolumeWeightedMovingAverage()
self._vwap.Length = self.AtrPeriod
# Create subscription for candles
subscription = self.SubscribeCandles(self.CandleType)
# Bind indicators to candles
subscription.Bind(self._atr, self.ProcessATR).Start()
# Setup chart visualization if available
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._atr)
self.DrawOwnTrades(area)
# Enable position protection
self.StartProtection(
takeProfit=Unit(5, UnitTypes.Percent),
stopLoss=Unit(2, UnitTypes.Percent)
)
def OnReseted(self):
super(vwap_mean_reversion_strategy, self).OnReseted()
self._current_atr = 0
self._current_vwap = 0
def ProcessATR(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
self._current_vwap = float(process_candle(self._vwap, candle))
self._current_vwap = self._current_vwap if self._current_vwap is not None else 0
self._current_atr = atr_value
self.ProcessStrategy(candle.ClosePrice)
def ProcessStrategy(self, current_price):
# Check if strategy is ready for trading
# Skip if we don't have valid VWAP or ATR yet
if self._current_vwap <= 0 or self._current_atr <= 0:
return
# Calculate distance to VWAP
upper_band = self._current_vwap + self.K * self._current_atr
lower_band = self._current_vwap - self.K * self._current_atr
self.LogInfo(
"Current Price: {0}, VWAP: {1}, Upper: {2}, Lower: {3}".format(
current_price, self._current_vwap, upper_band, lower_band))
# Entry logic
if self.Position == 0:
# Long Entry: Price is below lower band
if current_price < lower_band:
# Buy when price is too low compared to VWAP
self.LogInfo(
"Buy Signal - Price ({0}) < Lower Band ({1})".format(current_price, lower_band))
self.BuyMarket(self.Volume)
# Short Entry: Price is above upper band
elif current_price > upper_band:
# Sell when price is too high compared to VWAP
self.LogInfo(
"Sell Signal - Price ({0}) > Upper Band ({1})".format(current_price, upper_band))
self.SellMarket(self.Volume)
# Exit logic
elif self.Position > 0 and current_price > self._current_vwap:
# Exit Long: Price returned to VWAP
self.LogInfo(
"Exit Long - Price ({0}) > VWAP ({1})".format(current_price, self._current_vwap))
self.SellMarket(Math.Abs(self.Position))
elif self.Position < 0 and current_price < self._current_vwap:
# Exit Short: Price returned to VWAP
self.LogInfo(
"Exit Short - Price ({0}) < VWAP ({1})".format(current_price, self._current_vwap))
self.BuyMarket(Math.Abs(self.Position))
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return vwap_mean_reversion_strategy()