Пробой по CCI
Стратегия основана на пробое индекса товарного канала (CCI).
Тестирование показывает среднегодичную доходность около 94%. Стратегию лучше запускать на фондовом рынке.
CCI Breakout использует индикатор Commodity Channel Index для выявления сильных движений. Всплески выше положительного или ниже отрицательного порога CCI формируют входы. Выход происходит, когда CCI возвращается к нулю или появляется противоположный сигнал.
Так как CCI измеряет отклонение от скользящей средней, экстремальные значения подразумевают неустойчивые цены. Система ждёт этих экстремумов, пытаясь заработать на продолжении движения.
Подробности
- Критерии входа: сигналы на основе CCI и Momentum.
- Длинные/короткие: оба направления.
- Критерии выхода: противоположный сигнал или стоп.
- Стопы: да.
- Параметры по умолчанию:
CciPeriod= 20StopLossPercent= 2мCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Пробой
- Направление: Оба
- Индикаторы: CCI, Momentum
- Стопы: Да
- Сложность: Базовая
- Таймфрейм: Внутридневной (5м)
- Сезонность: Нет
- Нейронные сети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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.
/// Exits at zero and uses native actual-fill percent protection.
/// </summary>
public class CciBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _stopLossPercent;
private decimal _prevCci;
private bool _hasPrevValues;
private Order _pendingOrder;
/// <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;
}
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.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.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
OrderRegistering += order => _pendingOrder = order;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType), (Security, DataType.Level1)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCci = default;
_hasPrevValues = default;
_pendingOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var cci = new CommodityChannelIndex { Length = CciPeriod };
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(cci, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, cci);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before the callback, including between bars.
}
private void ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevCci = cciValue;
return;
}
if (_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
{
_prevCci = cciValue;
return;
}
// CCI crosses above +100 - buy signal
if (_prevCci <= 100 && cciValue > 100 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
// CCI crosses below -100 - sell signal
else if (_prevCci >= -100 && cciValue < -100 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
else if (Position > 0m && cciValue <= 0m)
SellMarket(Position);
else if (Position < 0m && cciValue >= 0m)
BuyMarket(Math.Abs(Position));
_prevCci = cciValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
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.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative() \
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._prev_cci = Decimal.Zero
self._has_prev_values = False
self._pending_order = None
self.OrderRegistering += self._track_pending
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cci_breakout_strategy, self).OnReseted()
self._prev_cci = Decimal.Zero
self._has_prev_values = False
self._pending_order = None
def OnStarted2(self, time):
super(cci_breakout_strategy, self).OnStarted2(time)
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(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 _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between signal bars.
pass
def _process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished or not self.IsFormedAndOnlineAndAllowTrading():
return
if not self._has_prev_values:
self._has_prev_values = True
self._prev_cci = cci_value
return
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
self._prev_cci = cci_value
return
if self._prev_cci <= 100 and cci_value > 100 and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif self._prev_cci >= -100 and cci_value < -100 and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
elif self.Position > 0 and cci_value <= 0:
self.SellMarket(self.Position)
elif self.Position < 0 and cci_value >= 0:
self.BuyMarket(Math.Abs(self.Position))
self._prev_cci = cci_value
def CreateClone(self):
return cci_breakout_strategy()