Color Coppock 策略
Color Coppock Strategy 基于改进的 Coppock 振荡器。该振荡器计算两个不同周期的 ROC 之和,并通过移动平均线进行平滑。当动量上升时产生做多信号,动量下降时产生做空信号。
工作原理
- 计算两个不同周期的 ROC。
- 将两个 ROC 相加,并应用简单移动平均线进行平滑。
- 将当前振荡器值与前两个值进行比较:
- 当振荡器在下跌后转向上升时,策略开多单或平空单。
- 当振荡器在上升后转向下跌时,策略开空单或平多单。
- 交易量取自策略的
Volume属性。
参数
| 名称 | 说明 |
|---|---|
Roc1Period |
第一个 ROC 的周期。 |
Roc2Period |
第二个 ROC 的周期。 |
SmoothingPeriod |
对 ROC 之和应用的 SMA 周期。 |
CandleType |
用于计算的 K 线类型。 |
使用方法
- 将策略附加到证券并设置所需参数。
- 策略订阅指定的 K 线,只处理已完成的 K 线。
- 使用默认成交量以市价单方式交易。
说明
- 策略仅使用高级 API,例如
SubscribeCandles。 - 代码中的所有注释均为英文。
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 the Coppock Curve oscillator.
/// Uses ROC sum smoothed by SMA.
/// </summary>
public class ColorCoppockStrategy : Strategy
{
private readonly StrategyParam<int> _roc1Period;
private readonly StrategyParam<int> _roc2Period;
private readonly StrategyParam<int> _smoothingPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _closes = new();
private readonly List<decimal> _coppockValues = new();
private decimal? _prevCoppock;
private decimal? _prevPrevCoppock;
public int Roc1Period { get => _roc1Period.Value; set => _roc1Period.Value = value; }
public int Roc2Period { get => _roc2Period.Value; set => _roc2Period.Value = value; }
public int SmoothingPeriod { get => _smoothingPeriod.Value; set => _smoothingPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ColorCoppockStrategy()
{
_roc1Period = Param(nameof(Roc1Period), 14)
.SetDisplay("ROC1 Period", "First ROC calculation period", "Parameters");
_roc2Period = Param(nameof(Roc2Period), 10)
.SetDisplay("ROC2 Period", "Second ROC calculation period", "Parameters");
_smoothingPeriod = Param(nameof(SmoothingPeriod), 10)
.SetDisplay("Smoothing Period", "SMA period for ROC sum", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Time frame for processing", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_closes.Clear();
_coppockValues.Clear();
_prevCoppock = _prevPrevCoppock = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sma = new ExponentialMovingAverage { Length = Roc1Period };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
_closes.Add(candle.ClosePrice);
var maxPeriod = Math.Max(Roc1Period, Roc2Period);
if (_closes.Count > maxPeriod + SmoothingPeriod + 5)
_closes.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_closes.Count <= maxPeriod)
return;
// Calculate ROC values
var idx = _closes.Count - 1;
decimal roc1 = 0, roc2 = 0;
if (idx >= Roc1Period && _closes[idx - Roc1Period] != 0)
roc1 = (_closes[idx] - _closes[idx - Roc1Period]) / _closes[idx - Roc1Period] * 100m;
if (idx >= Roc2Period && _closes[idx - Roc2Period] != 0)
roc2 = (_closes[idx] - _closes[idx - Roc2Period]) / _closes[idx - Roc2Period] * 100m;
_coppockValues.Add(roc1 + roc2);
if (_coppockValues.Count > SmoothingPeriod + 5)
_coppockValues.RemoveAt(0);
if (_coppockValues.Count < SmoothingPeriod)
return;
// SMA of ROC sum
var coppock = _coppockValues.Skip(_coppockValues.Count - SmoothingPeriod).Average();
if (_prevCoppock is decimal prev && _prevPrevCoppock is decimal prevPrev)
{
// Buy when Coppock turns up from a bottom
if (prev < prevPrev && coppock > prev && Position <= 0)
BuyMarket();
// Sell when Coppock turns down from a top
else if (prev > prevPrev && coppock < prev && Position >= 0)
SellMarket();
}
_prevPrevCoppock = _prevCoppock;
_prevCoppock = 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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_coppock_strategy(Strategy):
def __init__(self):
super(color_coppock_strategy, self).__init__()
self._roc1_period = self.Param("Roc1Period", 14) \
.SetDisplay("ROC1 Period", "First ROC calculation period", "Parameters")
self._roc2_period = self.Param("Roc2Period", 10) \
.SetDisplay("ROC2 Period", "Second ROC calculation period", "Parameters")
self._smoothing_period = self.Param("SmoothingPeriod", 10) \
.SetDisplay("Smoothing Period", "SMA period for ROC sum", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Time frame for processing", "General")
self._closes = []
self._coppock_values = []
self._prev_coppock = None
self._prev_prev_coppock = None
@property
def roc1_period(self):
return self._roc1_period.Value
@property
def roc2_period(self):
return self._roc2_period.Value
@property
def smoothing_period(self):
return self._smoothing_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_coppock_strategy, self).OnReseted()
self._closes = []
self._coppock_values = []
self._prev_coppock = None
self._prev_prev_coppock = None
def OnStarted2(self, time):
super(color_coppock_strategy, self).OnStarted2(time)
sma = ExponentialMovingAverage()
sma.Length = int(self.roc1_period)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def process_candle(self, candle, sma_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
self._closes.append(close)
r1p = int(self.roc1_period)
r2p = int(self.roc2_period)
sp = int(self.smoothing_period)
max_period = max(r1p, r2p)
if len(self._closes) > max_period + sp + 5:
self._closes.pop(0)
if len(self._closes) <= max_period:
return
idx = len(self._closes) - 1
roc1 = 0.0
roc2 = 0.0
if idx >= r1p and self._closes[idx - r1p] != 0.0:
roc1 = (self._closes[idx] - self._closes[idx - r1p]) / self._closes[idx - r1p] * 100.0
if idx >= r2p and self._closes[idx - r2p] != 0.0:
roc2 = (self._closes[idx] - self._closes[idx - r2p]) / self._closes[idx - r2p] * 100.0
self._coppock_values.append(roc1 + roc2)
if len(self._coppock_values) > sp + 5:
self._coppock_values.pop(0)
if len(self._coppock_values) < sp:
return
# SMA of ROC sum
coppock = sum(self._coppock_values[-sp:]) / sp
if self._prev_coppock is not None and self._prev_prev_coppock is not None:
# Buy when Coppock turns up from bottom
if self._prev_coppock < self._prev_prev_coppock and coppock > self._prev_coppock and self.Position <= 0:
self.BuyMarket()
# Sell when Coppock turns down from top
elif self._prev_coppock > self._prev_prev_coppock and coppock < self._prev_coppock and self.Position >= 0:
self.SellMarket()
self._prev_prev_coppock = self._prev_coppock
self._prev_coppock = coppock
def CreateClone(self):
return color_coppock_strategy()