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Exp Color PEMA Digit Tm Plus 策略
概述
Exp Color PEMA Digit Tm Plus 是 MetaTrader 5 智能交易系统 "Exp_ColorPEMA_Digit_Tm_Plus" 的移植版本。策略完整重建 Pentuple Exponential Moving Average (PEMA) 指标,并保留原始 EA 中的全部交易许可开关。只有当指标颜色发生翻转且等待条数 (Signal Bar) 条件满足时,才会在所选的蜡烛序列上执行交易。
StockSharp 版本继续提供原策略中的资金管理模式、止损/止盈控制和按时间强制离场功能。所有设置均通过 StrategyParam<T> 发布,便于在界面中配置和用于参数优化。
指标逻辑
- 使用八个串联的指数移动平均线,长度均为
PEMA Length,价格来源由 Applied Price 决定。
- 最终输出在写入历史前会按
Rounding Digits 进行四舍五入,与 MQL 指标完全一致。
- 通过计算相邻数值的斜率得到三种状态:
- Up (magenta) —— 看涨,准备做多;
- Flat (gray) —— 中性,无操作;
- Down (dodger blue) —— 看跌,准备做空。
- 每根已完成蜡烛的状态都会被保存,以便在
Signal Bar > 0 时访问历史值。
交易规则
- 信号识别:在蜡烛收盘后读取
Signal Bar 条之前的指标状态,并与再早一条数据比较。
- 多头条件:当状态从其他值切换到 Up 时:
- 若启用了
Allow Long Entries,则排队等待开多;
- 若启用了
Allow Short Exits,则排队平掉已有空单。
- 空头条件:当状态从其他值切换到 Down 时:
- 若启用了
Allow Short Entries,则排队等待开空;
- 若启用了
Allow Long Exits,则排队平掉已有多单。
- 执行层:只有当策略在线、到达信号对应的激活时间且资金管理给出非零手数时,排队动作才会真正发送订单。
- 风险控制:
- 止损和止盈按与 MT5 相同的点值距离基于成交价计算;
Use Time Exit 会在仓位持有超过 Holding Minutes 分钟后强制平仓;
- 允许的反向信号可以立即平掉当前仓位。
参数说明
| 参数 |
说明 |
| Money Management |
资金管理基础数值。 |
| Money Mode |
资金管理模式(手数或按余额比例)。 |
| Stop Loss (points) |
止损距离,单位为点。 |
| Take Profit (points) |
止盈距离,单位为点。 |
| Allowed Deviation |
允许的报价偏差(为兼容而保留)。 |
| Allow Long/Short Entries |
是否允许开多/开空。 |
| Allow Long/Short Exits |
是否允许因反向信号平多/平空。 |
| Use Time Exit |
是否启用按时间离场。 |
| Holding Minutes |
最大持仓时间(分钟)。 |
| Candle Type |
处理的蜡烛类型(默认 H4)。 |
| PEMA Length |
PEMA 链中每个 EMA 的长度。 |
| Applied Price |
指标使用的价格来源。 |
| Rounding Digits |
指标结果的小数位数。 |
| Signal Bar |
等待的已完成蜡烛数量。 |
使用提示
- 在 StockSharp 终端中将策略绑定到目标品种和所需的蜡烛序列。
- 根据原 EA 的设置调整参数。
- 策略仅在蜡烛完成后做出决策,因此行为与 MT5 逻辑保持一致。
转换状态
- C# 版本 —— 已实现(
CS/ExpColorPemaDigitTmPlusStrategy.cs)。
- Python 版本 —— 未创建(按要求省略)。
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 ExpColorPemaDigitTmPlusStrategy : 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 ExpColorPemaDigitTmPlusStrategy()
{
_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_color_pema_digit_tm_plus_strategy(Strategy):
def __init__(self):
super(exp_color_pema_digit_tm_plus_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_color_pema_digit_tm_plus_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_color_pema_digit_tm_plus_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_color_pema_digit_tm_plus_strategy()