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Exp Cronex Chaikin 策略
该策略将 MetaTrader 专家顾问 Exp_CronexChaikin.mq5 移植到 StockSharp 高级 API。原始机器人基于累积/派发数据重建 Chaikin 振荡指标,再通过 Cronex “XMA” 滤波器进行两次平滑,并在快慢线交叉时进行交易。StockSharp 版本复刻了相同的流程,并将每个阶段暴露为可配置参数。
交易逻辑
- 订阅所选的蜡烛序列(
CandleType)。
- 对每根已完成的蜡烛,根据
VolumeSource(跳动量或真实成交量)重新计算累积/派发 (AD) 曲线。
- 使用
ChaikinMethod、ChaikinFastPeriod 和 ChaikinSlowPeriod 对 AD 曲线做两次移动平均,并取其差值得到 Chaikin 振荡值。
- 采用由
SmoothingMethod、FastPeriod、SlowPeriod 与 Phase 控制的 Cronex 平滑器,对振荡值再次进行两级平滑,得到原指标中的快线与信号线。
- 回看
SignalBar 根已完成的蜡烛,对比该根蜡烛及其前一根蜡烛上的两条 Cronex 线。
- 当快线在信号线上方时,策略可以先平掉空头(若
SellCloseEnabled 为真),并在 BuyOpenEnabled 允许的情况下、且回溯蜡烛上出现向上交叉时开多。
- 当快线在信号线下方时,执行与上一步相反的空头操作,由
SellOpenEnabled 与 BuyCloseEnabled 控制。
- 每次开仓后,使用
StopLoss 与 TakeProfit(以点为单位)重新设置止损与止盈距离。
策略始终保持单一净仓位。当信号方向改变时,会自动将平仓量与新开仓量合并,以模拟 MetaTrader 净值账户的行为。
指标与平滑设置
- Chaikin 振荡器:对 AD 曲线应用所选的
ChaikinMethod 移动平均类型,可选简单、指数、平滑以及线性加权等方式。
- Cronex 平滑器:
SmoothingMethod 参数覆盖 Cronex XMA 系列(SMA、EMA、SMMA、LWMA、Jurik JJMA/JurX、Parabolic MA、T3、VIDYA、AMA)。Phase 参数用于调节 Jurik 类滤波器,与 MQL 实现一致。
参数
| 参数 |
说明 |
CandleType |
构建指标所用的蜡烛类型,默认是 4 小时时间框架。 |
ChaikinMethod |
Chaikin 振荡器内部使用的移动平均方法。 |
ChaikinFastPeriod / ChaikinSlowPeriod |
应用于 AD 曲线的快、慢周期。 |
SmoothingMethod |
作用于 Chaikin 振荡值的 Cronex 平滑算法。 |
FastPeriod / SlowPeriod |
Cronex 快线与信号线的周期长度。 |
Phase |
Jurik 类平滑器的相位参数,范围 -100~+100。 |
VolumeSource |
计算 AD 曲线时选用跳动量或真实成交量。 |
SignalBar |
回溯多少根已完成蜡烛以判定交叉信号。 |
BuyOpenEnabled / SellOpenEnabled |
是否允许开多或开空。 |
BuyCloseEnabled / SellCloseEnabled |
是否允许在反向信号出现时平掉已有仓位。 |
TakeProfit / StopLoss |
每次开仓后设置的止盈/止损距离(以点计)。 |
Volume |
StockSharp 中的标准下单手数,对应原专家顾问的手数设置。 |
与 MQL 版本的差异
TradeAlgorithms.mqh 中的资金管理与滑点模块由 Volume、SetStopLoss、SetTakeProfit 等内置方法替代。
- StockSharp 版本只在蜡烛收盘后重新计算 AD 曲线,便于回测与实时保持一致。
- Cronex 平滑器直接使用 StockSharp 指标实现:Jurik 滤波器基于
JurikMovingAverage(支持相位参数),VIDYA 与 ParMa 使用与其他 Cronex 策略相同的指数近似。
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;
public class ExpCronexChaikinStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public ExpCronexChaikinStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class exp_cronex_chaikin_strategy(Strategy):
def __init__(self):
super(exp_cronex_chaikin_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(exp_cronex_chaikin_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(exp_cronex_chaikin_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return exp_cronex_chaikin_strategy()