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随机CG振荡器策略
该策略将 Exp_StochasticCGOscillator MetaTrader 5 智能交易系统移植到 StockSharp。转换过程完整重建了随机重心振荡器及其触发线平滑算法,并使用 StockSharp 的高级策略 API 执行交易。
工作原理
- 指标流水线 – 所有来自
CandleType 的已完成 K 线都会传入自定义的随机 CG 振荡器。策略先计算高低价的中值,再通过长度为 Length 的重心循环求出 CG 值,随后使用加权滑动窗口生成振荡器主线。触发线采用 EA 中同样的 0.96 * (previous + 0.02) 平滑方式复现。
- 信号采样 – 策略读取由
SignalBar 指定的两个历史数值。当较早的数值(偏移 SignalBar + 1)高于触发线且较新的数值(偏移 SignalBar)重新跌破触发线时,准备做多信号;做空条件完全对称。
- 仓位管理 – 只要较早的读数跌破触发线,多头仓位立即平仓;当较早读数升破触发线时,空头仓位被关闭。出现反向入场信号时,会先平掉当前仓位再执行反手订单。
- 风险控制 –
StopLossPoints 与 TakeProfitPoints 以合约最小跳动值表示,在每根处理完成的 K 线收盘价上检查是否触发,复刻 EA 的止损/止盈设置且无需挂单。
- 预热流程 – 指标只有在重心循环与四值平滑缓冲区全部就绪后才输出信号,确保回测结果稳定可复现。
风险管理与仓位规模
- 止损/止盈 –
StopLossPoints 与 TakeProfitPoints 通过 Security.PriceStep 转换为绝对价格距离,设置为 0 时表示禁用。
- 单向持仓 – 策略从不同时持有多头和空头。若出现反向信号,会先执行平仓,再根据新方向建仓。
- 仓位规模 –
SizingMode = FixedVolume 时始终使用 FixedVolume。SizingMode = PortfolioShare 则按照最新收盘价和 Security.VolumeStep 将账户市值中 DepositShare 的比例换算成合约数量。
参数
| 参数 |
说明 |
CandleType |
订阅并计算指标所用的 K 线周期。 |
Length |
随机 CG 振荡器的周期,同时决定 CG 与归一化窗口长度。 |
SignalBar |
回溯多少根已完成 K 线来评估信号(1 对应 EA 默认值)。 |
AllowLongEntry / AllowShortEntry |
控制是否允许开多/开空。 |
AllowLongExit / AllowShortExit |
控制是否自动平多/平空。 |
StopLossPoints / TakeProfitPoints |
按价格步长表示的止损与止盈距离,设置为 0 即关闭。 |
FixedVolume |
固定仓位模式下发送的订单手数。 |
DepositShare |
组合市值中用于仓位换算的比例。 |
SizingMode |
选择固定手数或按市值比例换算仓位。 |
使用提示
- 建议将
CandleType 设置为 EA 所用的周期(原版为 8 小时)。较大的 SignalBar 需要更长的预热时间,以便指标历史缓冲区覆盖相应的偏移。
- 止损和止盈基于收盘价触发,并不会在 K 线内部挂单;请根据标的的最小跳动调整点数。
- 若启用
PortfolioShare 模式,请确保组合估值可用;若无法获取,策略会回退到固定手数。
- 指标输出范围保持在
[-1, 1],与原实现一致,可继续叠加熟悉的阈值过滤或辅助条件。
与原始 EA 的差异
- 策略直接发送市价单,不再使用
Deviation_ 参数控制滑点;成交滑点交由 StockSharp 执行层处理。
- 资金管理精简为两种模式(固定手数与按市值比例),未实现 EA 中基于保证金的其他选项。
- EA 中的挂单时间戳(
UpSignalTime / DnSignalTime)在本实现中不再需要,因为策略仅处理已完成的 K 线并同步执行。
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>
/// Stochastic CG Oscillator strategy using EMA crossover.
/// Buys when fast EMA crosses above slow EMA, sells on reverse.
/// </summary>
public class StochasticCgOscillatorStrategy : 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 StochasticCgOscillatorStrategy()
{
_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 stochastic_cg_oscillator_strategy(Strategy):
def __init__(self):
super(stochastic_cg_oscillator_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(stochastic_cg_oscillator_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(stochastic_cg_oscillator_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 stochastic_cg_oscillator_strategy()