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Exp Slow Stoch Duplex 策略
本策略基于 MetaTrader 5 专家顾问 Exp_Slow-Stoch_Duplex,在 StockSharp 高级 API 中重写。它同时跟踪两个独立时间框架上的慢速随机振荡器,协同生成多头和空头信号,并通过保护性订单复现原始 EA 的止盈止损管理。
交易逻辑
- 多头模块
- 在
LongCandleType 时间框架上计算慢速随机指标。
- 对 %K 和 %D 应用所选的平滑方式,并按照
LongSignalBar 指定的条数进行偏移。
- 当 %K 上穿 %D(
previousK <= previousD 且 currentK > currentD)时买入。
- 当 %K 再次跌破 %D(
currentK < currentD)时平掉现有多头。
- 空头模块
- 在
ShortCandleType 时间框架上计算慢速随机指标。
- 当 %K 下穿 %D(
previousK >= previousD 且 currentK < currentD)时做空。
- 当 %K 再次上穿 %D(
currentK > currentD)时平掉现有空头。
- 所有订单均以市价单提交。下单数量为
TradeVolume 加上当前净持仓的绝对值,从而在反向开仓前先对冲掉旧头寸。
- 使用
StartProtection 附加点值单位的止盈和止损距离,以模拟 MT5 订单参数。
参数
| 参数 |
类型 |
默认值 |
说明 |
LongCandleType |
DataType |
8 小时 K 线 |
多头随机指标的时间框架。 |
LongKPeriod |
int |
5 |
多头随机指标的 %K 周期。 |
LongDPeriod |
int |
3 |
多头随机指标的 %D 平滑周期。 |
LongSlowing |
int |
3 |
随机指标内部的额外平滑系数。 |
LongSignalBar |
int |
1 |
计算交叉信号时向前回溯的条数。 |
LongSmoothingMethod |
SmoothingMethod |
Smoothed |
对 %K/%D 进行二次平滑的方法(None、Simple、Exponential、Smoothed、Weighted)。 |
LongSmoothingLength |
int |
5 |
多头二次平滑的长度。 |
LongEnableOpen |
bool |
true |
是否允许开多头。 |
LongEnableClose |
bool |
true |
是否允许平多头。 |
ShortCandleType |
DataType |
8 小时 K 线 |
空头随机指标的时间框架。 |
ShortKPeriod |
int |
5 |
空头随机指标的 %K 周期。 |
ShortDPeriod |
int |
3 |
空头随机指标的 %D 平滑周期。 |
ShortSlowing |
int |
3 |
随机指标内部的额外平滑系数。 |
ShortSignalBar |
int |
1 |
计算空头交叉信号时的回溯条数。 |
ShortSmoothingMethod |
SmoothingMethod |
Smoothed |
对空头 %K/%D 进行二次平滑的方法。 |
ShortSmoothingLength |
int |
5 |
空头二次平滑的长度。 |
ShortEnableOpen |
bool |
true |
是否允许开空头。 |
ShortEnableClose |
bool |
true |
是否允许平空头。 |
TradeVolume |
decimal |
0.1 |
基础下单手数。 |
TakeProfitPoints |
decimal |
2000 |
止盈距离,点值表示。 |
StopLossPoints |
decimal |
1000 |
止损距离,点值表示。 |
备注
SmoothingMethod 提供了 StockSharp 内置的均线平滑,以近似原始 JJMA 平滑。如需关闭此步骤,可选择 None。
- 多头与空头模块互不干扰,可通过布尔参数独立启用或禁用。
- StockSharp 采用净持仓模型,因此当方向反转时会先平掉相反持仓,再建立新方向。
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>
/// Slow Stochastic Duplex strategy using EMA crossover.
/// Buys when fast EMA crosses above slow EMA, sells on reverse.
/// </summary>
public class ExpSlowStochDuplexStrategy : 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 ExpSlowStochDuplexStrategy()
{
_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_slow_stoch_duplex_strategy(Strategy):
def __init__(self):
super(exp_slow_stoch_duplex_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_slow_stoch_duplex_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_slow_stoch_duplex_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_slow_stoch_duplex_strategy()