Estrategia de Ruptura de Pendiente CCI
La estrategia de Ruptura de Pendiente CCI monitorea la tasa de cambio del CCI. Una pendiente inusualmente pronunciada sugiere que se está formando una nueva tendencia.
Las pruebas indican un rendimiento anual promedio de aproximadamente 94%. Funciona mejor en el mercado de acciones.
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. CciPeriod predeterminado = 20.
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:
CciPeriod= 20SlopePeriod= 20BreakoutMultiplier= 2.0mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Ruptura
- Dirección: Ambos
- Indicadores: CCI
- 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 CCI slope breakout.
/// Opens positions when CCI slope deviates from its recent average by a multiple of standard deviation.
/// </summary>
public class CciSlopeBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
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> _minCciMagnitude;
private CommodityChannelIndex _cci;
private decimal _prevCciValue;
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>
/// CCI period.
/// </summary>
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.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 absolute CCI value required for entries.
/// </summary>
public decimal MinCciMagnitude
{
get => _minCciMagnitude.Value;
set => _minCciMagnitude.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="CciSlopeBreakoutStrategy"/>.
/// </summary>
public CciSlopeBreakoutStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicator Parameters")
.SetOptimize(10, 30, 5);
_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");
_minCciMagnitude = Param(nameof(MinCciMagnitude), 100m)
.SetGreaterThanZero()
.SetDisplay("Min CCI Magnitude", "Minimum absolute CCI value 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();
_cci = null;
_prevCciValue = 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);
_cci = new CommodityChannelIndex { Length = CciPeriod };
_slopes = new decimal[SlopePeriod];
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_cci, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _cci);
DrawOwnTrades(area);
}
StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
}
private void ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_cci.IsFormed)
return;
if (!_isInitialized)
{
_prevCciValue = cciValue;
_isInitialized = true;
return;
}
_currentSlope = cciValue - _prevCciValue;
_prevCciValue = cciValue;
_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 lowerThreshold = _avgSlope - BreakoutMultiplier * _stdDevSlope;
var absCci = Math.Abs(cciValue);
if (Position == 0)
{
if (_currentSlope > upperThreshold && cciValue > 0 && absCci >= MinCciMagnitude)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (_currentSlope < lowerThreshold && cciValue < 0 && absCci >= MinCciMagnitude)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0)
{
if (_currentSlope <= _avgSlope)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (_currentSlope >= _avgSlope)
{
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 CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class cci_slope_breakout_strategy(Strategy):
"""
Strategy based on CCI slope breakout.
Opens positions when CCI slope deviates from its recent average by a multiple of standard deviation.
"""
def __init__(self):
super(cci_slope_breakout_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicator Parameters") \
.SetOptimize(10, 30, 5)
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_cci_magnitude = self.Param("MinCciMagnitude", 100.0) \
.SetGreaterThanZero() \
.SetDisplay("Min CCI Magnitude", "Minimum absolute CCI value 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._cci = None
self._prev_cci = 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(cci_slope_breakout_strategy, self).OnReseted()
self._cci = None
self._prev_cci = 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(cci_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._cci = CommodityChannelIndex()
self._cci.Length = int(self._cci_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._cci, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._cci)
self.DrawOwnTrades(area)
self.StartProtection(Unit(), Unit(self._stop_loss_percent.Value, UnitTypes.Percent))
def _process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished:
return
if not self._cci.IsFormed:
return
cci_val = float(cci_value)
if not self._is_initialized:
self._prev_cci = cci_val
self._is_initialized = True
return
self._current_slope = cci_val - self._prev_cci
self._prev_cci = cci_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
lower_threshold = self._avg_slope - bm * self._std_dev_slope
abs_cci = abs(cci_val)
min_mag = float(self._min_cci_magnitude.Value)
if self.Position == 0:
if self._current_slope > upper_threshold and cci_val > 0 and abs_cci >= min_mag:
self.BuyMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif self._current_slope < lower_threshold and cci_val < 0 and abs_cci >= min_mag:
self.SellMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position > 0:
if self._current_slope <= self._avg_slope:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position < 0:
if self._current_slope >= self._avg_slope:
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 cci_slope_breakout_strategy()