ADX Slope Breakout
The ADX Slope Breakout strategy tracks the rate of change of the ADX. An unusually steep slope hints that a new trend is forming.
Testing indicates an average annual return of about 145%. It performs best in the crypto market.
Entries occur when slope exceeds its typical level by a multiple of standard deviation, taking trades in the direction of acceleration with a protective stop.
It appeals to active traders eager for early trend exposure. Positions exit when the slope drifts back toward normal readings. Default AdxPeriod = 14.
Details
- Entry Criteria: Indicator exceeds average by deviation multiplier.
- Long/Short: Both directions.
- Exit Criteria: Indicator reverts to average.
- Stops: Yes.
- Default Values:
AdxPeriod= 14SlopePeriod= 20BreakoutMultiplier= 2.0mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: ADX
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Short-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>
/// Strategy based on ADX slope breakout.
/// Opens positions when ADX slope deviates from its recent average and the dominant DI confirms direction.
/// </summary>
public class AdxSlopeBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<int> _slopePeriod;
private readonly StrategyParam<decimal> _breakoutMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _minAdx;
private AverageDirectionalIndex _adx;
private decimal _prevAdxValue;
private decimal _currentSlope;
private decimal _avgSlope;
private decimal _stdDevSlope;
private decimal[] _slopes;
private int _currentIndex;
private int _filledCount;
private int _cooldown;
private bool _isInitialized;
/// <summary>
/// ADX period.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// Lookback period for slope statistics calculation.
/// </summary>
public int SlopePeriod
{
get => _slopePeriod.Value;
set => _slopePeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for breakout detection.
/// </summary>
public decimal BreakoutMultiplier
{
get => _breakoutMultiplier.Value;
set => _breakoutMultiplier.Value = value;
}
/// <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>
/// Cooldown bars between orders.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Minimum ADX level required for entries.
/// </summary>
public decimal MinAdx
{
get => _minAdx.Value;
set => _minAdx.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="AdxSlopeBreakoutStrategy"/>.
/// </summary>
public AdxSlopeBreakoutStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicator Parameters")
.SetOptimize(10, 20, 2);
_slopePeriod = Param(nameof(SlopePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Slope Period", "Period for slope statistics calculation", "Strategy Parameters")
.SetOptimize(10, 50, 5);
_breakoutMultiplier = Param(nameof(BreakoutMultiplier), 2.5m)
.SetGreaterThanZero()
.SetDisplay("Breakout Multiplier", "Standard deviation multiplier for breakout detection", "Strategy Parameters")
.SetOptimize(1.5m, 4m, 0.5m);
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management");
_cooldownBars = Param(nameof(CooldownBars), 1200)
.SetRange(1, 5000)
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");
_minAdx = Param(nameof(MinAdx), 25m)
.SetGreaterThanZero()
.SetDisplay("Min ADX", "Minimum ADX level required for entries", "Signal Filters");
_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();
_adx = null;
_prevAdxValue = default;
_currentSlope = default;
_avgSlope = default;
_stdDevSlope = default;
_currentIndex = default;
_filledCount = default;
_cooldown = default;
_isInitialized = default;
_slopes = new decimal[SlopePeriod];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_adx = new AverageDirectionalIndex { Length = AdxPeriod };
_slopes = new decimal[SlopePeriod];
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_adx, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _adx);
DrawOwnTrades(area);
}
StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_adx.IsFormed)
return;
var typedValue = (AverageDirectionalIndexValue)adxValue;
if (typedValue.MovingAverage is not decimal adx)
return;
var dx = typedValue.Dx;
if (dx.Plus is not decimal diPlus ||
dx.Minus is not decimal diMinus)
return;
if (!_isInitialized)
{
_prevAdxValue = adx;
_isInitialized = true;
return;
}
_currentSlope = adx - _prevAdxValue;
_prevAdxValue = adx;
_slopes[_currentIndex] = _currentSlope;
_currentIndex = (_currentIndex + 1) % SlopePeriod;
if (_filledCount < SlopePeriod)
_filledCount++;
if (_filledCount < SlopePeriod)
return;
CalculateStatistics();
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_stdDevSlope <= 0)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var upperThreshold = _avgSlope + BreakoutMultiplier * _stdDevSlope;
var isBullish = diPlus > diMinus;
var isBearish = diMinus > diPlus;
if (Position == 0)
{
if (_currentSlope > upperThreshold && adx >= MinAdx)
{
if (isBullish)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (isBearish)
{
SellMarket();
_cooldown = CooldownBars;
}
}
}
else if (Position > 0)
{
if (_currentSlope <= _avgSlope || !isBullish)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (_currentSlope <= _avgSlope || !isBearish)
{
BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
}
private void CalculateStatistics()
{
_avgSlope = 0;
var sumSquaredDiffs = 0m;
for (var i = 0; i < SlopePeriod; i++)
_avgSlope += _slopes[i];
_avgSlope /= SlopePeriod;
for (var i = 0; i < SlopePeriod; i++)
{
var diff = _slopes[i] - _avgSlope;
sumSquaredDiffs += diff * diff;
}
_stdDevSlope = (decimal)Math.Sqrt((double)(sumSquaredDiffs / SlopePeriod));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
import math
from System import TimeSpan, Math
from StockSharp.Messages import DataType, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import AverageDirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class adx_slope_breakout_strategy(Strategy):
"""
Strategy based on ADX slope breakout.
Opens positions when ADX slope deviates from its recent average and the dominant DI confirms direction.
"""
def __init__(self):
super(adx_slope_breakout_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicator Parameters") \
.SetOptimize(10, 20, 2)
self._slope_period = self.Param("SlopePeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Slope Period", "Period for slope statistics calculation", "Strategy Parameters") \
.SetOptimize(10, 50, 5)
self._breakout_multiplier = self.Param("BreakoutMultiplier", 2.5) \
.SetGreaterThanZero() \
.SetDisplay("Breakout Multiplier", "Standard deviation multiplier for breakout detection", "Strategy Parameters") \
.SetOptimize(1.5, 4.0, 0.5)
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
self._cooldown_bars = self.Param("CooldownBars", 1200) \
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management")
self._min_adx = self.Param("MinAdx", 25.0) \
.SetGreaterThanZero() \
.SetDisplay("Min ADX", "Minimum ADX level required for entries", "Signal Filters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._adx = None
self._prev_adx = 0.0
self._current_slope = 0.0
self._avg_slope = 0.0
self._std_dev_slope = 0.0
self._slopes = None
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._is_initialized = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adx_slope_breakout_strategy, self).OnReseted()
self._adx = None
self._prev_adx = 0.0
self._current_slope = 0.0
self._avg_slope = 0.0
self._std_dev_slope = 0.0
sp = int(self._slope_period.Value)
self._slopes = [0.0] * sp
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._is_initialized = False
def OnStarted2(self, time):
super(adx_slope_breakout_strategy, self).OnStarted2(time)
sp = int(self._slope_period.Value)
self._slopes = [0.0] * sp
self._cooldown = 0
self._filled_count = 0
self._current_index = 0
self._adx = AverageDirectionalIndex()
self._adx.Length = int(self._adx_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._adx, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._adx)
self.DrawOwnTrades(area)
self.StartProtection(Unit(), Unit(self._stop_loss_percent.Value, UnitTypes.Percent))
def _process_candle(self, candle, adx_value):
if candle.State != CandleStates.Finished:
return
if not self._adx.IsFormed:
return
adx_ma = adx_value.MovingAverage
if adx_ma is None:
return
dx = adx_value.Dx
di_plus = dx.Plus
di_minus = dx.Minus
if di_plus is None or di_minus is None:
return
adx_val = float(adx_ma)
di_plus_val = float(di_plus)
di_minus_val = float(di_minus)
if not self._is_initialized:
self._prev_adx = adx_val
self._is_initialized = True
return
self._current_slope = adx_val - self._prev_adx
self._prev_adx = adx_val
sp = int(self._slope_period.Value)
self._slopes[self._current_index] = self._current_slope
self._current_index = (self._current_index + 1) % sp
if self._filled_count < sp:
self._filled_count += 1
if self._filled_count < sp:
return
self._calculate_statistics()
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._std_dev_slope <= 0:
return
if self._cooldown > 0:
self._cooldown -= 1
return
bm = float(self._breakout_multiplier.Value)
upper_threshold = self._avg_slope + bm * self._std_dev_slope
is_bullish = di_plus_val > di_minus_val
is_bearish = di_minus_val > di_plus_val
min_adx = float(self._min_adx.Value)
if self.Position == 0:
if self._current_slope > upper_threshold and adx_val >= min_adx:
if is_bullish:
self.BuyMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif is_bearish:
self.SellMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position > 0:
if self._current_slope <= self._avg_slope or not is_bullish:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position < 0:
if self._current_slope <= self._avg_slope or not is_bearish:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
def _calculate_statistics(self):
sp = int(self._slope_period.Value)
self._avg_slope = 0.0
sum_sq = 0.0
for i in range(sp):
self._avg_slope += self._slopes[i]
self._avg_slope /= float(sp)
for i in range(sp):
diff = self._slopes[i] - self._avg_slope
sum_sq += diff * diff
self._std_dev_slope = math.sqrt(sum_sq / float(sp))
def CreateClone(self):
return adx_slope_breakout_strategy()