Volume Weighted Price Breakout
This strategy combines a moving average with a volume‑weighted moving average (VWMA). When price trades above the VWMA, it suggests buyers are dominant. A breakout occurs when price crosses the VWMA from the opposite side.
Testing indicates an average annual return of about 40%. It performs best in the crypto market.
Trades align with the VWMA direction and use the simple moving average as a higher‑level trend filter. Exits occur when price reverses relative to the moving average.
The goal is to capture breakouts supported by volume.
Details
- Entry Criteria: Price above or below VWMA with MA confirmation.
- Long/Short: Both directions.
- Exit Criteria: Price crosses MA in opposite direction or stop.
- Stops: Yes.
- Default Values:
MAPeriod= 20VWAPPeriod= 20CandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: VWMA, MA
- Stops: Yes
- Complexity: Intermediate
- 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>
/// Volume Weighted Price Breakout Strategy.
/// Long entry: Price rises above VWMA.
/// Short entry: Price falls below VWMA.
/// Exit: Price crosses MA in the opposite direction.
/// </summary>
public class VolumeWeightedPriceBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _vwapPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// VWAP Period.
/// </summary>
public int VWAPPeriod
{
get => _vwapPeriod.Value;
set => _vwapPeriod.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize <see cref="VolumeWeightedPriceBreakoutStrategy"/>.
/// </summary>
public VolumeWeightedPriceBreakoutStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for Moving Average", "Indicators")
.SetOptimize(10, 50, 10);
_vwapPeriod = Param(nameof(VWAPPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("VWAP Period", "Period for VWMA", "Indicators")
.SetOptimize(10, 30, 5);
_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();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cooldown = 0;
var ma = new SimpleMovingAverage { Length = MAPeriod };
var vwma = new VolumeWeightedMovingAverage { Length = VWAPPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, vwma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawIndicator(area, vwma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal maValue, decimal vwmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
if (Position == 0)
{
if (candle.ClosePrice > vwmaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (candle.ClosePrice < vwmaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && candle.ClosePrice < maValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > maValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 SimpleMovingAverage, VolumeWeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_weighted_price_breakout_strategy(Strategy):
"""
Volume Weighted Price Breakout Strategy.
Long entry: Price rises above VWMA.
Short entry: Price falls below VWMA.
Exit: Price crosses MA in the opposite direction.
"""
def __init__(self):
super(volume_weighted_price_breakout_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for Moving Average", "Indicators")
self._vwap_period = self.Param("VWAPPeriod", 20).SetDisplay("VWAP Period", "Period for VWMA", "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._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volume_weighted_price_breakout_strategy, self).OnReseted()
self._cooldown = 0
def OnStarted2(self, time):
super(volume_weighted_price_breakout_strategy, self).OnStarted2(time)
self._cooldown = 0
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
vwma = VolumeWeightedMovingAverage()
vwma.Length = self._vwap_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, vwma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawIndicator(area, vwma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ma_val, vwma_val):
if candle.State != CandleStates.Finished:
return
if self._cooldown > 0:
self._cooldown -= 1
return
close = float(candle.ClosePrice)
mv = float(ma_val)
vv = float(vwma_val)
cd = self._cooldown_bars.Value
if self.Position == 0:
if close > vv:
self.BuyMarket()
self._cooldown = cd
elif close < vv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < mv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > mv:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return volume_weighted_price_breakout_strategy()