Estrategia basada en la ruptura del CCI (Commodity Channel Index)
Las pruebas indican un retorno anual promedio de aproximadamente 94%. Funciona mejor en el mercado de acciones.
CCI Breakout utiliza el Commodity Channel Index para detectar movimientos poderosos. Los surgimientos más allá de los umbrales positivos o negativos del CCI generan entradas. Las salidas ocurren cuando el CCI retrocede hacia cero o se forma una señal opuesta.
Dado que el CCI mide la desviación de una media móvil, las lecturas extremas implican precios insostenibles. Este sistema espera esos extremos y luego intenta beneficiarse del seguimiento.
Detalles
Criterios de entrada: Señales basadas en CCI, Momentum.
Largo/Corto: Ambas direcciones.
Criterios de salida: Señal opuesta o stop.
Stops: Sí.
Valores predeterminados:
CciPeriod = 20
StopLossPercent = 2m
CandleType = TimeSpan.FromMinutes(5)
Filtros:
Categoría: Ruptura
Dirección: Ambos
Indicadores: CCI, Momentum
Stops: Sí
Complejidad: Básico
Marco temporal: Intradía (5m)
Estacionalidad: No
Neural Networks: 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 (Commodity Channel Index) breakout.
/// Buys when CCI crosses above +100, sells when CCI crosses below -100.
/// </summary>
public class CciBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevCci;
private bool _hasPrevValues;
private int _cooldown;
/// <summary>
/// CCI period.
/// </summary>
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="CciBreakoutStrategy"/>.
/// </summary>
public CciBreakoutStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicators")
.SetOptimize(14, 30, 4);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).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();
_prevCci = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(cci, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, cci);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue cciInd)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (cciInd.IsEmpty)
return;
decimal cciValue;
try
{
cciValue = cciInd.GetValue<decimal>();
}
catch (IndexOutOfRangeException)
{
return;
}
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevCci = cciValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevCci = cciValue;
return;
}
// CCI crosses above +100 - buy signal
if (_prevCci <= 100 && cciValue > 100 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = 2;
}
// CCI crosses below -100 - sell signal
else if (_prevCci >= -100 && cciValue < -100 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = 2;
}
_prevCci = cciValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class cci_breakout_strategy(Strategy):
"""
Strategy based on CCI (Commodity Channel Index) breakout.
Buys when CCI crosses above +100, sells when CCI crosses below -100.
"""
def __init__(self):
super(cci_breakout_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20) \
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_cci = 0.0
self._has_prev_values = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cci_breakout_strategy, self).OnReseted()
self._prev_cci = 0.0
self._has_prev_values = False
self._cooldown = 0
def OnStarted2(self, time):
super(cci_breakout_strategy, self).OnStarted2(time)
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(cci, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, cci)
self.DrawOwnTrades(area)
def _process_candle(self, candle, cci_ind):
if candle.State != CandleStates.Finished:
return
if cci_ind.IsEmpty:
return
try:
cci_value = float(cci_ind)
except:
return
if not self._has_prev_values:
self._has_prev_values = True
self._prev_cci = cci_value
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_cci = cci_value
return
if self._prev_cci <= 100 and cci_value > 100 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._cooldown = 2
elif self._prev_cci >= -100 and cci_value < -100 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._cooldown = 2
self._prev_cci = cci_value
def CreateClone(self):
return cci_breakout_strategy()