Vwap Adx Strategy
Strategy based on VWAP and ADX indicators. Enters long when price is above VWAP and ADX > 25. Enters short when price is below VWAP and ADX > 25. Exits when ADX < 20.
Testing indicates an average annual return of about 157%. It performs best in the crypto market.
VWAP acts as the session benchmark, and ADX measures conviction. Entries appear when price departs from VWAP with ADX showing strength.
Fits intraday trend traders. Protective stops use a fixed percentage of the entry price.
Details
- Entry Criteria:
- Long:
Close > VWAP && ADX > 25 - Short:
Close < VWAP && ADX > 25
- Long:
- Long/Short: Both
- Exit Criteria: ADX drops below threshold
- Stops: Percent-based using
StopLossPercent - Default Values:
StopLossPercent= 2AdxPeriod= 14AdxThreshold= 25AdxExitThreshold= 20CandleType= TimeSpan.FromMinutes(5).TimeFrame() The market trades around the clock, so the session VWAP restarts each UTC day and weighs the typical price of each candle by its volume. The 25 and 20 in the rules are the defaults of AdxThreshold and AdxExitThreshold. An entry signal against an open position reverses it.
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: VWAP, ADX
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- 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 ADX 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.
/// While ADX is above AdxThreshold, a close above VWAP goes long and a close below it goes short, reversing an opposite position.
/// The position closes once ADX drops below AdxExitThreshold, and a percent stop limits the loss.
/// </summary>
public class VwapAdxStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxThreshold;
private readonly StrategyParam<decimal> _adxExitThreshold;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
/// <summary>
/// Period of ADX.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// ADX level required to enter.
/// </summary>
public decimal AdxThreshold
{
get => _adxThreshold.Value;
set => _adxThreshold.Value = value;
}
/// <summary>
/// ADX level below which the position closes.
/// </summary>
public decimal AdxExitThreshold
{
get => _adxExitThreshold.Value;
set => _adxExitThreshold.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </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 VwapAdxStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period of ADX", "ADX");
_adxThreshold = Param(nameof(AdxThreshold), 25m)
.SetDisplay("ADX Threshold", "ADX level required to enter", "ADX");
_adxExitThreshold = Param(nameof(AdxExitThreshold), 20m)
.SetDisplay("ADX Exit Threshold", "ADX level below which the position closes", "ADX");
_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;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(adx, 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);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, adx);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue)
{
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 (!adxValue.IsFormed || _cumulativeVolume <= 0)
return;
if (adxValue is not AverageDirectionalIndexValue { MovingAverage: decimal strength })
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var close = candle.ClosePrice;
var strong = strength > AdxThreshold;
if (strong && close > vwap && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (strong && close < vwap && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && strength < AdxExitThreshold)
SellMarket(Position);
else if (Position < 0 && strength < AdxExitThreshold)
BuyMarket(-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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import AverageDirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class vwap_adx_strategy(Strategy):
"""
VWAP ADX 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.
While ADX is above AdxThreshold, a close above VWAP goes long and a close below it goes short, reversing an opposite position.
The position closes once ADX drops below AdxExitThreshold, and a percent stop limits the loss.
"""
def __init__(self):
super(vwap_adx_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14).SetGreaterThanZero().SetDisplay("ADX Period", "Period of ADX", "ADX")
self._adx_threshold = self.Param("AdxThreshold", 25.0).SetDisplay("ADX Threshold", "ADX level required to enter", "ADX")
self._adx_exit_threshold = self.Param("AdxExitThreshold", 20.0).SetDisplay("ADX Exit Threshold", "ADX level below which the position closes", "ADX")
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._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)
def OnReseted(self):
super(vwap_adx_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(vwap_adx_strategy, self).OnStarted2(time)
self._reset_state()
adx = AverageDirectionalIndex()
adx.Length = self._adx_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(adx, 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)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, adx)
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, adx_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 adx_value.IsFormed or self._cumulative_volume <= 0 or adx_value.MovingAverage is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
strength = adx_value.MovingAverage
vwap = self._cumulative_price_volume / self._cumulative_volume
close = candle.ClosePrice
strong = strength > Decimal(self._adx_threshold.Value)
exit_level = Decimal(self._adx_exit_threshold.Value)
if strong and close > vwap and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif strong and close < vwap and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and strength < exit_level:
self.SellMarket(self.Position)
elif self.Position < 0 and strength < exit_level:
self.BuyMarket(-self.Position)
def CreateClone(self):
return vwap_adx_strategy()