CCI 背离策略
当价格走势与商品通道指数(CCI)方向相反时,可能预示趋势即将反转。本策略比较价格和 CCI 的波峰波谷,以识别隐藏的强弱。
测试表明年均收益约为 91%,该策略在股票市场表现最佳。
系统在每根蜡烛更新最近的价格与 CCI 值。当价格创出新低而 CCI 形成更高的低点时,标记为看涨背离;反之则为看跌背离。当背离同时处于超卖或超买区域时,在波动性止损的配合下开仓。
平仓条件为 CCI 重新穿越零线,表明动能已完成。由于背离可能持续,规则还会在固定的根数后重置,以避免过时信号。
细节
- 入场条件:价格与 CCI 背离,且做多时 CCI 低于 -100,做空时高于 +100。
- 多/空:双向。
- 退出条件:CCI 穿越零线或止损。
- 止损:是,按百分比计算。
- 默认值:
CciPeriod= 20DivergencePeriod= 5OverboughtLevel= 100OversoldLevel= -100CandleType= 15 分钟StopLossPercent= 2
- 过滤条件:
- 类别: 背离
- 方向: 双向
- 指标: CCI
- 止损: 有
- 复杂度: 高级
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 是
- 风险级别: 中等
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>
/// CCI Divergence strategy.
/// Detects divergences between price and CCI for reversal signals.
/// Bullish: price falling but CCI rising.
/// Bearish: price rising but CCI falling.
/// </summary>
public class CciDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevPrice;
private decimal _prevCci;
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>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public CciDivergenceStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 14)
.SetRange(5, 30)
.SetDisplay("CCI Period", "Period for CCI", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPrice = default;
_prevCci = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevPrice = 0;
_prevCci = 0;
_cooldown = 0;
var cci = new CommodityChannelIndex { Length = CciPeriod };
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 ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevPrice == 0)
{
_prevPrice = candle.ClosePrice;
_prevCci = cciValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevPrice = candle.ClosePrice;
_prevCci = cciValue;
return;
}
var bullishDiv = candle.ClosePrice < _prevPrice && cciValue > _prevCci;
var bearishDiv = candle.ClosePrice > _prevPrice && cciValue < _prevCci;
if (Position == 0 && bullishDiv && cciValue > -100)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && bearishDiv && cciValue < 100)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && cciValue > 100)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && cciValue < -100)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevPrice = candle.ClosePrice;
_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_divergence_strategy(Strategy):
"""
CCI Divergence strategy.
Detects divergences between price and CCI for reversal signals.
Bullish: price falling but CCI rising.
Bearish: price rising but CCI falling.
"""
def __init__(self):
super(cci_divergence_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 14).SetDisplay("CCI Period", "Period for CCI", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_price = 0.0
self._prev_cci = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cci_divergence_strategy, self).OnReseted()
self._prev_price = 0.0
self._prev_cci = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(cci_divergence_strategy, self).OnStarted2(time)
self._prev_price = 0.0
self._prev_cci = 0.0
self._cooldown = 0
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
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 _process_candle(self, candle, cci_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
cv = float(cci_val)
if self._prev_price == 0:
self._prev_price = close
self._prev_cci = cv
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_price = close
self._prev_cci = cv
return
cd = self._cooldown_bars.Value
bullish_div = close < self._prev_price and cv > self._prev_cci
bearish_div = close > self._prev_price and cv < self._prev_cci
if self.Position == 0 and bullish_div and cv > -100:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and bearish_div and cv < 100:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and cv > 100:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and cv < -100:
self.BuyMarket()
self._cooldown = cd
self._prev_price = close
self._prev_cci = cv
def CreateClone(self):
return cci_divergence_strategy()