Фильтр волатильности CCI
Стратегия CCI Volatility Filter основана на индексе товарного канала (CCI) с фильтром волатильности.
Тестирование показывает среднегодичную доходность около 58%. Стратегию лучше запускать на фондовом рынке.
Сигналы формируются, когда индикаторы подтверждают отфильтрованные входы на внутридневных данных (5м). Такой метод подходит активным трейдерам.
Стопы рассчитываются на основе кратных ATR и параметров CciPeriod, AtrPeriod. Настройте эти значения для баланса риска и прибыли.
Подробности
- Критерии входа: см. реализацию условий индикаторов.
- Длинные/короткие: обе стороны.
- Критерии выхода: противоположный сигнал или логика стопов.
- Стопы: да, расчёт на основе индикаторов.
- Значения по умолчанию:
CciPeriod = 20AtrPeriod = 14CciOversold = -100mCciOverbought = 100mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Фильтры:
- Категория: Следование за трендом
- Направление: Оба
- Индикаторы: несколько индикаторов
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной (5м)
- Сезонность: Нет
- Нейронные сети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Strategy based on CCI with an ATR-based volatility filter.
/// </summary>
public class CciWithVolatilityFilterStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _cciOversold;
private readonly StrategyParam<decimal> _cciOverbought;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private CommodityChannelIndex _cci;
private AverageTrueRange _atr;
private SimpleMovingAverage _atrSma;
private int _cooldownRemaining;
public int CciPeriod { get => _cciPeriod.Value; set => _cciPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal CciOversold { get => _cciOversold.Value; set => _cciOversold.Value = value; }
public decimal CciOverbought { get => _cciOverbought.Value; set => _cciOverbought.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public CciWithVolatilityFilterStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators");
_cciOversold = Param(nameof(CciOversold), -100m)
.SetDisplay("CCI Oversold", "CCI oversold level", "Indicators");
_cciOverbought = Param(nameof(CciOverbought), 100m)
.SetDisplay("CCI Overbought", "CCI overbought level", "Indicators");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 24)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between entries", "Trading");
_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;
_atr = null;
_atrSma = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cci = new CommodityChannelIndex { Length = CciPeriod };
_atr = new AverageTrueRange { Length = AtrPeriod };
_atrSma = new SMA { Length = AtrPeriod };
_cooldownRemaining = 0;
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var cciValue = _cci.Process(candle);
var atrValue = _atr.Process(candle);
if (!cciValue.IsFormed || !atrValue.IsFormed)
return;
var atrAverage = _atrSma.Process(new DecimalIndicatorValue(_atrSma, atrValue.ToDecimal(), candle.ServerTime) { IsFinal = true });
if (!atrAverage.IsFormed)
return;
var cci = cciValue.ToDecimal();
var atr = atrValue.ToDecimal();
var averageAtr = atrAverage.ToDecimal();
var isTradableVolatility = averageAtr <= 0m || atr <= averageAtr * 10m;
if (_cooldownRemaining > 0 || !isTradableVolatility)
return;
if (Position == 0 && cci <= CciOversold)
{
BuyMarket();
_cooldownRemaining = SignalCooldownBars;
}
else if (Position == 0 && cci >= CciOverbought)
{
SellMarket();
_cooldownRemaining = SignalCooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import CommodityChannelIndex, AverageTrueRange, SimpleMovingAverage, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class cci_with_volatility_filter_strategy(Strategy):
"""
Strategy based on CCI with an ATR-based volatility filter.
"""
def __init__(self):
super(cci_with_volatility_filter_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("CCI Period", "Period for CCI calculation", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators")
self._cci_oversold = self.Param("CciOversold", -100.0) \
.SetDisplay("CCI Oversold", "CCI oversold level", "Indicators")
self._cci_overbought = self.Param("CciOverbought", 100.0) \
.SetDisplay("CCI Overbought", "CCI overbought level", "Indicators")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 24) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown", "Bars to wait between entries", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cci_with_volatility_filter_strategy, self).OnReseted()
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(cci_with_volatility_filter_strategy, self).OnStarted2(time)
self._cci = CommodityChannelIndex()
self._cci.Length = int(self._cci_period.Value)
self._atr = AverageTrueRange()
self._atr.Length = int(self._atr_period.Value)
self._atr_sma = SimpleMovingAverage()
self._atr_sma.Length = int(self._atr_period.Value)
self._cooldown_remaining = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(1, UnitTypes.Percent)
)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
cci_result = self._cci.Process(CandleIndicatorValue(self._cci, candle))
atr_result = self._atr.Process(CandleIndicatorValue(self._atr, candle))
if not cci_result.IsFormed or not atr_result.IsFormed:
return
atr_val = float(atr_result)
atr_avg_result = process_float(self._atr_sma, Decimal(atr_val), candle.ServerTime, True)
if not atr_avg_result.IsFormed:
return
cci_val = float(cci_result)
average_atr = float(atr_avg_result)
is_tradable_volatility = average_atr <= 0.0 or atr_val <= average_atr * 10.0
if self._cooldown_remaining > 0 or not is_tradable_volatility:
return
oversold = float(self._cci_oversold.Value)
overbought = float(self._cci_overbought.Value)
cd = int(self._signal_cooldown_bars.Value)
if self.Position == 0 and cci_val <= oversold:
self.BuyMarket()
self._cooldown_remaining = cd
elif self.Position == 0 and cci_val >= overbought:
self.SellMarket()
self._cooldown_remaining = cd
def CreateClone(self):
return cci_with_volatility_filter_strategy()