Coppock Histogram 策略
该策略交易 Coppock Histogram 指标的转向。指标把两个变动率数值相加,并使用移动平均进行平滑。当动量向上转折时,策略开多单并平仓空单;动量向下转折时,策略平仓多单并开空单。只在蜡烛完全形成后评估信号。
细节
- 入场条件:Coppock Histogram 向上倾斜买入,向下倾斜卖出。
- 多/空:双向。
- 出场条件:相反信号平掉当前仓位。
- 止损:默认没有止损或止盈。
- 默认值:
Roc1Period= 14Roc2Period= 11SmoothPeriod= 3Volume= 1mCandleType= TimeSpan.FromHours(8)
- 过滤器:
- 分类:振荡指标
- 方向:双向
- 指标:RateOfChange, SimpleMovingAverage
- 止损:无
- 复杂度:基础
- 时间框架:8小时
- 季节性:无
- 神经网络:无
- 背离:无
- 风险级别:中等
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>
/// Strategy based on Coppock histogram turns to capture trend reversals.
/// </summary>
public class CoppockHistogramStrategy : Strategy
{
private readonly StrategyParam<int> _roc1Period;
private readonly StrategyParam<int> _roc2Period;
private readonly StrategyParam<int> _smoothPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _signalCooldownBars;
private static readonly object _sync = new();
private SimpleMovingAverage _sma = null!;
private decimal? _prev;
private decimal? _prev2;
private int _cooldownRemaining;
/// <summary>
/// First rate of change period.
/// </summary>
public int Roc1Period
{
get => _roc1Period.Value;
set => _roc1Period.Value = value;
}
/// <summary>
/// Second rate of change period.
/// </summary>
public int Roc2Period
{
get => _roc2Period.Value;
set => _roc2Period.Value = value;
}
/// <summary>
/// Moving average smoothing length.
/// </summary>
public int SmoothPeriod
{
get => _smoothPeriod.Value;
set => _smoothPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Closed candles to wait before acting on the next turn.
/// </summary>
public int SignalCooldownBars
{
get => _signalCooldownBars.Value;
set => _signalCooldownBars.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="CoppockHistogramStrategy"/>.
/// </summary>
public CoppockHistogramStrategy()
{
_roc1Period = Param(nameof(Roc1Period), 14)
.SetRange(1, 200)
.SetDisplay("ROC1 Period", "First ROC length", "Parameters")
;
_roc2Period = Param(nameof(Roc2Period), 11)
.SetRange(1, 200)
.SetDisplay("ROC2 Period", "Second ROC length", "Parameters")
;
_smoothPeriod = Param(nameof(SmoothPeriod), 3)
.SetRange(1, 50)
.SetDisplay("Smoothing", "Moving average length", "Parameters")
;
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "Parameters");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 2)
.SetNotNegative()
.SetDisplay("Signal Cooldown", "Closed candles to wait before the next trade", "Parameters");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_sma?.Reset();
_prev = null;
_prev2 = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_sma = new SMA { Length = SmoothPeriod };
var roc1 = new RateOfChange { Length = Roc1Period };
var roc2 = new RateOfChange { Length = Roc2Period };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(roc1, roc2, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _sma);
DrawOwnTrades(area);
}
StartProtection(null, null);
}
private void ProcessCandle(ICandleMessage candle, decimal roc1Value, decimal roc2Value)
{
if (candle.State != CandleStates.Finished)
return;
lock (_sync)
{
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var smoothValue = _sma.Process(roc1Value + roc2Value, candle.OpenTime, true);
if (!smoothValue.IsFinal || smoothValue.IsEmpty || !_sma.IsFormed)
return;
var coppock = smoothValue.ToDecimal();
if (_prev is decimal prev && _prev2 is decimal prev2)
{
if (_cooldownRemaining == 0 && prev < prev2 && coppock > prev && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_cooldownRemaining = SignalCooldownBars;
}
else if (_cooldownRemaining == 0 && prev > prev2 && coppock < prev && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_cooldownRemaining = SignalCooldownBars;
}
}
_prev2 = _prev;
_prev = coppock;
}
}
}
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
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import RateOfChange, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class coppock_histogram_strategy(Strategy):
"""
Strategy based on Coppock histogram turns to capture trend reversals.
"""
def __init__(self):
super(coppock_histogram_strategy, self).__init__()
self._roc1_period = self.Param("Roc1Period", 14) \
.SetDisplay("ROC1 Period", "First ROC length", "Parameters")
self._roc2_period = self.Param("Roc2Period", 11) \
.SetDisplay("ROC2 Period", "Second ROC length", "Parameters")
self._smooth_period = self.Param("SmoothPeriod", 3) \
.SetDisplay("Smoothing", "Moving average length", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "Parameters")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 2) \
.SetDisplay("Signal Cooldown", "Closed candles to wait before the next trade", "Parameters")
self._sma = None
self._prev = None
self._prev2 = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(coppock_histogram_strategy, self).OnReseted()
self._prev = None
self._prev2 = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(coppock_histogram_strategy, self).OnStarted2(time)
self._sma = SimpleMovingAverage()
self._sma.Length = self._smooth_period.Value
roc1 = RateOfChange()
roc1.Length = self._roc1_period.Value
roc2 = RateOfChange()
roc2.Length = self._roc2_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(roc1, roc2, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._sma)
self.DrawOwnTrades(area)
def on_process(self, candle, roc1_val, roc2_val):
if candle.State != CandleStates.Finished:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
smooth_val = process_float(self._sma, roc1_val + roc2_val, candle.OpenTime, True)
if not smooth_val.IsFinal or smooth_val.IsEmpty or not self._sma.IsFormed:
return
coppock = float(smooth_val)
if self._prev is not None and self._prev2 is not None:
if self._cooldown_remaining == 0 and self._prev < self._prev2 and coppock > self._prev and self.Position <= 0:
self.BuyMarket()
self._cooldown_remaining = self._signal_cooldown_bars.Value
elif self._cooldown_remaining == 0 and self._prev > self._prev2 and coppock < self._prev and self.Position >= 0:
self.SellMarket()
self._cooldown_remaining = self._signal_cooldown_bars.Value
self._prev2 = self._prev
self._prev = coppock
def CreateClone(self):
return coppock_histogram_strategy()