Estrategia de Ruptura de Pendiente ADX
La estrategia de Ruptura de Pendiente ADX rastrea la tasa de cambio del ADX. Una pendiente inusualmente pronunciada sugiere que se está formando una nueva tendencia.
Las pruebas indican un rendimiento anual promedio de aproximadamente 145%. Funciona mejor en el mercado de criptomonedas.
Las entradas ocurren cuando la pendiente supera su nivel típico en un múltiplo de la desviación estándar, tomando operaciones en la dirección de la aceleración con un stop protector.
Atrae a los traders activos que buscan una exposición temprana a la tendencia. Las posiciones se cierran cuando la pendiente regresa a lecturas normales. AdxPeriod predeterminado = 14.
Detalles
- Criterios de entrada: El indicador supera la media por el multiplicador de desviación.
- Largo/Corto: Ambas direcciones.
- Criterios de salida: El indicador revierte a la media.
- Stops: Sí.
- Valores predeterminados:
AdxPeriod= 14SlopePeriod= 20BreakoutMultiplier= 2.0mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Ruptura
- Dirección: Ambos
- Indicadores: ADX
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Corto plazo
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
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()