VWAP Bounce Strategy
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 minuteStopLoss= 2%
- 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.
/// Enters long when price bounces off VWAP from below with a bullish candle.
/// Enters short when price bounces off VWAP from above with a bearish candle.
/// Uses SMA for exit signals.
/// </summary>
public class VwapBounceStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevClose;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public VwapBounceStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_cooldown = 0;
var vwma = new VolumeWeightedMovingAverage { Length = 20 };
var sma = new SimpleMovingAverage { Length = MAPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(vwma, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, vwma);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal vwmaValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevClose == 0)
{
_prevClose = candle.ClosePrice;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevClose = candle.ClosePrice;
return;
}
var isBullish = candle.ClosePrice > candle.OpenPrice;
var isBearish = candle.ClosePrice < candle.OpenPrice;
// Bounce off VWAP from below (bullish): prev close was below VWAP, now above or near, bullish candle
var bouncedUp = _prevClose < vwmaValue && candle.ClosePrice >= vwmaValue && isBullish;
// Bounce off VWAP from above (bearish): prev close was above VWAP, now below or near, bearish candle
var bouncedDown = _prevClose > vwmaValue && candle.ClosePrice <= vwmaValue && isBearish;
if (Position == 0 && bouncedUp)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && bouncedDown)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevClose = candle.ClosePrice;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import VolumeWeightedMovingAverage, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class vwap_bounce_strategy(Strategy):
"""
VWAP Bounce strategy.
Enters long when price bounces off VWAP from below with a bullish candle.
Enters short when price bounces off VWAP from above with a bearish candle.
Uses SMA for exit signals.
"""
def __init__(self):
super(vwap_bounce_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_close = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vwap_bounce_strategy, self).OnReseted()
self._prev_close = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(vwap_bounce_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._cooldown = 0
vwma = VolumeWeightedMovingAverage()
vwma.Length = 20
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(vwma, sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, vwma)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, vwma_val, sma_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
vv = float(vwma_val)
sv = float(sma_val)
if self._prev_close == 0:
self._prev_close = close
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_close = close
return
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
cd = self._cooldown_bars.Value
# Bounce off VWAP from below (bullish): prev close was below VWAP, now above or near, bullish candle
bounced_up = self._prev_close < vv and close >= vv and is_bullish
# Bounce off VWAP from above (bearish): prev close was above VWAP, now below or near, bearish candle
bounced_down = self._prev_close > vv and close <= vv and is_bearish
if self.Position == 0 and bounced_up:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and bounced_down:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > sv:
self.BuyMarket()
self._cooldown = cd
self._prev_close = close
def CreateClone(self):
return vwap_bounce_strategy()