Adx Volume Strategy
Implementation of strategy - ADX + Volume. Enter trades when ADX is above threshold with above average volume. Direction determined by DI+ and DI- comparison.
Testing indicates an average annual return of about 67%. It performs best in the stocks market.
High ADX denotes a strong trend and volume spikes confirm commitment. Entries are made when both indicators show strength together.
Great for catching energetic breakouts. A stop based on ATR keeps exposure in check.
Details
- Entry Criteria:
- Long:
ADX > AdxThreshold && Volume > AvgVolume && +DI > -DI - Short:
ADX > AdxThreshold && Volume > AvgVolume && -DI > +DI
- Long:
- Long/Short: Both
- Exit Criteria: Trend weakens below threshold
- Stops: ATR-based using
StopLossAtr - Default Values:
AdxPeriod= 14AdxThreshold= 25mVolumeAvgPeriod= 20StopLossAtr= 2AtrPeriod= 14CandleType= TimeSpan.FromMinutes(5).TimeFrame() AvgVolume is the average volume of the previous VolumeAvgPeriod candles. The stop lies StopLossAtr ATRs (AtrPeriod) from the entry close and is checked on candle closes. An entry signal against an open position reverses it.
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: ADX, Volume
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// ADX Volume strategy.
/// While ADX is above AdxThreshold, a candle with volume above the average of the previous VolumeAvgPeriod candles goes long when +DI
/// is above -DI and short when -DI is above +DI, reversing an opposite position. The position closes once ADX falls below AdxThreshold.
/// The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
/// </summary>
public class AdxVolumeStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxThreshold;
private readonly StrategyParam<int> _volumeAvgPeriod;
private readonly StrategyParam<decimal> _stopLossAtr;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _volumes = [];
private decimal _stopPrice;
/// <summary>
/// Period of ADX.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// ADX level of a strong trend.
/// </summary>
public decimal AdxThreshold
{
get => _adxThreshold.Value;
set => _adxThreshold.Value = value;
}
/// <summary>
/// Previous candles the volume is averaged over.
/// </summary>
public int VolumeAvgPeriod
{
get => _volumeAvgPeriod.Value;
set => _volumeAvgPeriod.Value = value;
}
/// <summary>
/// Stop distance from the entry in ATRs.
/// </summary>
public decimal StopLossAtr
{
get => _stopLossAtr.Value;
set => _stopLossAtr.Value = value;
}
/// <summary>
/// Period of the stop ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AdxVolumeStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period of ADX", "Indicators");
_adxThreshold = Param(nameof(AdxThreshold), 25m)
.SetDisplay("ADX Threshold", "ADX level of a strong trend", "Indicators");
_volumeAvgPeriod = Param(nameof(VolumeAvgPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume Average Period", "Previous candles the volume is averaged over", "Indicators");
_stopLossAtr = Param(nameof(StopLossAtr), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the stop ATR", "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();
_volumes.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumes.Clear();
_stopPrice = default;
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(adx, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, adx);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
// Volume is compared with the candles before this one.
var average = _volumes.Count == VolumeAvgPeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > VolumeAvgPeriod)
_volumes.RemoveAt(0);
if (!adxValue.IsFormed || !atrValue.IsFormed || average is not decimal avgVolume)
return;
if (adxValue is not AverageDirectionalIndexValue { MovingAverage: decimal strength } typedAdx
|| typedAdx.Dx.Plus is not decimal plusDi || typedAdx.Dx.Minus is not decimal minusDi)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var atr = atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
var active = strength > AdxThreshold && candle.TotalVolume > avgVolume;
if (active && plusDi > minusDi && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - StopLossAtr * atr;
}
else if (active && minusDi > plusDi && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + StopLossAtr * atr;
}
else if (Position > 0 && (strength < AdxThreshold || (StopLossAtr > 0 && close <= _stopPrice)))
{
SellMarket(Position);
}
else if (Position < 0 && (strength < AdxThreshold || (StopLossAtr > 0 && close >= _stopPrice)))
{
BuyMarket(-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, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import AverageDirectionalIndex, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class adx_volume_strategy(Strategy):
"""
ADX Volume strategy.
While ADX is above AdxThreshold, a candle with volume above the average of the previous VolumeAvgPeriod candles goes long when +DI
is above -DI and short when -DI is above +DI, reversing an opposite position. The position closes once ADX falls below AdxThreshold.
The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(adx_volume_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14).SetGreaterThanZero().SetDisplay("ADX Period", "Period of ADX", "Indicators")
self._adx_threshold = self.Param("AdxThreshold", 25.0).SetDisplay("ADX Threshold", "ADX level of a strong trend", "Indicators")
self._volume_avg_period = self.Param("VolumeAvgPeriod", 20).SetGreaterThanZero().SetDisplay("Volume Average Period", "Previous candles the volume is averaged over", "Indicators")
self._stop_loss_atr = self.Param("StopLossAtr", 2.0).SetNotNegative().SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the stop ATR", "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._volumes = []
self._stop_price = Decimal(0)
def OnReseted(self):
super(adx_volume_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(adx_volume_strategy, self).OnStarted2(time)
self._reset_state()
adx = AverageDirectionalIndex()
adx.Length = self._adx_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(adx, atr, self._process_candle).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 _process_candle(self, candle, adx_value, atr_value):
if candle.State != CandleStates.Finished:
return
# Volume is compared with the candles before this one.
period = self._volume_avg_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
if not adx_value.IsFormed or not atr_value.IsFormed or average is None:
return
if adx_value.MovingAverage is None or adx_value.Dx.Plus is None or adx_value.Dx.Minus is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
strength = adx_value.MovingAverage
plus_di = adx_value.Dx.Plus
minus_di = adx_value.Dx.Minus
threshold = Decimal(self._adx_threshold.Value)
atr = atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
active = strength > threshold and candle.TotalVolume > average
stop_atr = Decimal(self._stop_loss_atr.Value)
if active and plus_di > minus_di and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - stop_atr * atr
elif active and minus_di > plus_di and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + stop_atr * atr
elif self.Position > 0 and (strength < threshold or (stop_atr > 0 and close <= self._stop_price)):
self.SellMarket(self.Position)
elif self.Position < 0 and (strength < threshold or (stop_atr > 0 and close >= self._stop_price)):
self.BuyMarket(-self.Position)
def CreateClone(self):
return adx_volume_strategy()