Volume Weighted Average Price (VWAP) is a popular intraday benchmark. When price deviates significantly from VWAP and then prints a candle back toward it, a brief reversion move often follows. This strategy trades those bounces.
Testing indicates an average annual return of about 130%. It performs best in the stocks market.
For each bar the current VWAP is computed. If a bullish candle closes below VWAP the system goes long; if a bearish candle closes above VWAP it goes short. A fixed stop-loss percentage manages risk, and positions are typically held only until an opposite signal forms or the stop is reached.
Because it fades intraday extremes, the method works best in range‑bound markets rather than strong trends.
Details
Entry Criteria: Close below VWAP with bullish candle or above VWAP with bearish candle.
Long/Short: Both.
Exit Criteria: Opposite signal or stop-loss.
Stops: Yes, percentage based.
Default Values:
CandleType = 5 minute
StopLossPercent = 2
The VWAP restarts at the beginning of every UTC day and weights each candle's typical price by its volume.
Filters:
Category: Mean Reversion
Direction: Both
Indicators: VWAP
Stops: Yes
Complexity: Basic
Timeframe: Intraday
Seasonality: No
Neural networks: No
Divergence: No
Risk level: Medium
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 Bounce strategy.
/// The VWAP restarts every UTC day from the typical price of each candle weighted by its volume. A bullish candle closing below
/// the VWAP turns the position long and a bearish candle closing above it turns it short; a percent stop limits the loss.
/// </summary>
public class VwapBounceStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _priceVolume;
private decimal _volume;
/// <summary>
/// Stop-loss percentage.
/// </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 VwapBounceStrategy()
{
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_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;
_priceVolume = default;
_volume = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_priceVolume = default;
_volume = default;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(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);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_day != day)
{
_day = day;
_priceVolume = 0;
_volume = 0;
}
var typical = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3m;
_priceVolume += typical * candle.TotalVolume;
_volume += candle.TotalVolume;
if (_volume <= 0 || !IsFormedAndOnlineAndAllowTrading())
return;
var vwap = _priceVolume / _volume;
var close = candle.ClosePrice;
if (close > candle.OpenPrice && close < vwap && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close < candle.OpenPrice && close > vwap && Position >= 0)
SellMarket(Volume + Math.Abs(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, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Strategies import Strategy
class vwap_bounce_strategy(Strategy):
"""
VWAP Bounce strategy.
The VWAP restarts every UTC day from the typical price of each candle weighted by its volume. A bullish candle closing below
the VWAP turns the position long and a bearish candle closing above it turns it short; a percent stop limits the loss.
"""
def __init__(self):
super(vwap_bounce_strategy, self).__init__()
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(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._day = None
self._price_volume = Decimal(0)
self._volume = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vwap_bounce_strategy, self).OnReseted()
self._day = None
self._price_volume = Decimal(0)
self._volume = Decimal(0)
def OnStarted2(self, time):
super(vwap_bounce_strategy, self).OnStarted2(time)
self._day = None
self._price_volume = Decimal(0)
self._volume = Decimal(0)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(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.DrawOwnTrades(area)
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):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._day is None or self._day != day:
self._day = day
self._price_volume = Decimal(0)
self._volume = Decimal(0)
typical = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / Decimal(3)
self._price_volume += typical * candle.TotalVolume
self._volume += candle.TotalVolume
if self._volume <= 0 or not self.IsFormedAndOnlineAndAllowTrading():
return
vwap = self._price_volume / self._volume
close = candle.ClosePrice
if close > candle.OpenPrice and close < vwap and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif close < candle.OpenPrice and close > vwap and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
def CreateClone(self):
return vwap_bounce_strategy()