Strategy based on CCI (Commodity Channel Index) breakout
Testing indicates an average annual return of about 94%. It performs best in the stocks market.
CCI Breakout uses the Commodity Channel Index to spot powerful moves. Surges beyond positive or negative CCI thresholds generate entries. Exits happen when CCI retreats toward zero or an opposite signal forms.
Because CCI measures deviation from a moving average, extreme readings imply unsustainable prices. This system waits for those extremes and then attempts to profit from the follow-through.
Details
Entry Criteria: Signals based on CCI, Momentum.
Long/Short: Both directions.
Exit Criteria: Opposite signal or stop.
Stops: Yes.
Default Values:
CciPeriod = 20
StopLossPercent = 2m
CandleType = TimeSpan.FromMinutes(5)
Filters:
Category: Breakout
Direction: Both
Indicators: CCI, Momentum
Stops: Yes
Complexity: Basic
Timeframe: Intraday (5m)
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 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()