CCI Normalized Reversal 策略
该策略利用商品通道指数(CCI)在指标离开极端区域后寻找反转信号。
概述
指标基于 8 小时K线计算,周期可配置。设置的两个阈值定义了超买和超卖区域。当 CCI 在达到极值后重新回到这些区域内部,策略将在相反方向开仓,期望价格回归均值。
交易规则
- 做多:两根之前的K线 CCI 高于上阈值,上一根K线跌回阈值以下。
- 做空:两根之前的K线 CCI 低于下阈值,上一根K线上穿该阈值。
- 平多:上一根K线的 CCI 低于中间水平。
- 平空:上一根K线的 CCI 高于中间水平。
参数
CciPeriod– CCI 计算周期。HighLevel– 上阈值,表示超买区域。MiddleLevel– 中间水平,用于退出头寸。LowLevel– 下阈值,表示超卖区域。CandleType– 计算所用的K线类型(默认 8 小时)。
备注
策略同一时间只持有一个头寸,并使用市价单。通过 StartProtection 启用默认风险管理。
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// CCI Normalized Reversal Strategy.
/// Enters positions after the indicator leaves extreme zones.
/// </summary>
public class CciNormalizedReversalStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<int> _highLevel;
private readonly StrategyParam<int> _middleLevel;
private readonly StrategyParam<int> _lowLevel;
private readonly StrategyParam<DataType> _candleType;
private int _prevColor = 2;
private int _prevPrevColor = 2;
/// <summary>
/// CCI calculation period.
/// </summary>
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.Value = value;
}
/// <summary>
/// Upper CCI threshold.
/// </summary>
public int HighLevel
{
get => _highLevel.Value;
set => _highLevel.Value = value;
}
/// <summary>
/// Middle CCI threshold.
/// </summary>
public int MiddleLevel
{
get => _middleLevel.Value;
set => _middleLevel.Value = value;
}
/// <summary>
/// Lower CCI threshold.
/// </summary>
public int LowLevel
{
get => _lowLevel.Value;
set => _lowLevel.Value = value;
}
/// <summary>
/// Candle type to use.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="CciNormalizedReversalStrategy"/>.
/// </summary>
public CciNormalizedReversalStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 10)
.SetDisplay("CCI Period", "Lookback period for CCI", "General")
.SetRange(5, 50)
;
_highLevel = Param(nameof(HighLevel), 100)
.SetDisplay("High Level", "Upper CCI threshold", "General")
.SetRange(50, 200)
;
_middleLevel = Param(nameof(MiddleLevel), 0)
.SetDisplay("Middle Level", "Middle CCI threshold", "General")
.SetRange(-50, 50)
;
_lowLevel = Param(nameof(LowLevel), -100)
.SetDisplay("Low Level", "Lower CCI threshold", "General")
.SetRange(-200, -50)
;
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).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();
_prevColor = 2;
_prevPrevColor = 2;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevColor = 2;
_prevPrevColor = 2;
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(cci, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var color = GetColorIndex(cciValue);
// Close short when CCI rises above middle level
if (_prevColor < 2 && Position < 0)
BuyMarket();
// Close long when CCI falls below middle level
if (_prevColor > 2 && Position > 0)
SellMarket();
// Open long after leaving high zone
if (_prevPrevColor == 0 && _prevColor > 0 && Position <= 0)
BuyMarket();
// Open short after leaving low zone
if (_prevPrevColor == 4 && _prevColor < 4 && Position >= 0)
SellMarket();
_prevPrevColor = _prevColor;
_prevColor = color;
}
private int GetColorIndex(decimal cci)
{
if (cci > MiddleLevel)
return cci > HighLevel ? 0 : 1;
if (cci < MiddleLevel)
return cci < LowLevel ? 4 : 3;
return 2;
}
}
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_normalized_reversal_strategy(Strategy):
def __init__(self):
super(cci_normalized_reversal_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 10) \
.SetDisplay("CCI Period", "Lookback period for CCI", "General")
self._high_level = self.Param("HighLevel", 100) \
.SetDisplay("High Level", "Upper CCI threshold", "General")
self._middle_level = self.Param("MiddleLevel", 0) \
.SetDisplay("Middle Level", "Middle CCI threshold", "General")
self._low_level = self.Param("LowLevel", -100) \
.SetDisplay("Low Level", "Lower CCI threshold", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_color = 2
self._prev_prev_color = 2
@property
def cci_period(self):
return self._cci_period.Value
@property
def high_level(self):
return self._high_level.Value
@property
def middle_level(self):
return self._middle_level.Value
@property
def low_level(self):
return self._low_level.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cci_normalized_reversal_strategy, self).OnReseted()
self._prev_color = 2
self._prev_prev_color = 2
def OnStarted2(self, time):
super(cci_normalized_reversal_strategy, self).OnStarted2(time)
self._prev_color = 2
self._prev_prev_color = 2
cci = CommodityChannelIndex()
cci.Length = self.cci_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(cci, self.process_candle).Start()
def process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished:
return
cci_val = float(cci_value)
color = self._get_color_index(cci_val)
# Close short when CCI rises above middle level
if self._prev_color < 2 and self.Position < 0:
self.BuyMarket()
# Close long when CCI falls below middle level
if self._prev_color > 2 and self.Position > 0:
self.SellMarket()
# Open long after leaving high zone
if self._prev_prev_color == 0 and self._prev_color > 0 and self.Position <= 0:
self.BuyMarket()
# Open short after leaving low zone
if self._prev_prev_color == 4 and self._prev_color < 4 and self.Position >= 0:
self.SellMarket()
self._prev_prev_color = self._prev_color
self._prev_color = color
def _get_color_index(self, cci):
mid = float(self.middle_level)
high = float(self.high_level)
low = float(self.low_level)
if cci > mid:
return 0 if cci > high else 1
if cci < mid:
return 4 if cci < low else 3
return 2
def CreateClone(self):
return cci_normalized_reversal_strategy()