在 GitHub 上查看
iMA iSAR EA 策略
概述
该策略使用 StockSharp 高级 API 复刻 MetaTrader 5 中的 "iMA iSAR EA" 智能交易系统。它结合三条加权移动平均线与两条抛物线 SAR 轨迹,在动量突破时建立仓位。当最快的加权均线位于另外两条均线之上,并且两条 SAR 都位于收盘价下方时开多;条件反向时开空。策略以点(pips)为单位管理止损、止盈以及可选的跟踪止损。
实现基于单一的蜡烛序列,CandleType 参数可自定义周期。所有指标都在这一周期上计算。原始 MQ5 程序为各指标使用不同周期,在 StockSharp 中通过为每条均线提供独立的位移(Shift)参数来近似,实现延迟若干已完成 K 线再读取信号的效果。
交易规则
- 指标
- 三条加权移动平均线(快线、常规线、慢线),均基于配置的蜡烛序列计算,可选的位移参数重现 MQ5 缓冲区的延迟行为。
- 两条抛物线 SAR 指标(快速 SAR、常规 SAR),使用相同的蜡烛序列,但拥有独立的加速系数和最大步长。
- 入场条件
- 做多:快线高于常规线与慢线,且两条 SAR 都在收盘价下方。
- 做空:快线低于常规线与慢线,且两条 SAR 都在收盘价上方。
- 当出现反向信号时,策略会立即平掉相反仓位,并在同一笔市价单中完成反向建仓。
- 风险控制
- 固定止损与止盈以点值表达(即价格步长的倍数),在每根完成的蜡烛上评估。
- 可选的跟踪止损:启用后,止损会以配置的距离跟随收盘价,只有在价格朝有利方向移动达到设定的跟踪步长后才会抬升/下调。
- 下单前会根据品种的
VolumeStep、MinVolume 与 MaxVolume 自动调整成交量。
参数
| 名称 |
类型 |
默认值 |
说明 |
Volume |
decimal |
0.1 |
基础下单手数;若需要反向开仓,会自动包含平掉原有仓位所需的数量。 |
StopLossPips |
decimal |
50 |
以点为单位的止损距离,设为 0 表示禁用。 |
TakeProfitPips |
decimal |
50 |
以点为单位的止盈距离,设为 0 表示禁用。 |
UseTrailing |
bool |
true |
是否启用跟踪止损管理。 |
TrailingStopPips |
decimal |
25 |
跟踪止损与价格之间的距离(点)。 |
TrailingStepPips |
decimal |
5 |
价格每次至少需要向有利方向移动的点数,达到后才会更新跟踪止损。 |
CandleType |
DataType |
15 分钟 K 线 |
所有指标使用的蜡烛序列。 |
FastMaPeriod |
int |
10 |
快速加权均线周期。 |
FastMaShift |
int |
0 |
快速均线向后偏移的已完成 K 线数量。 |
NormalMaPeriod |
int |
30 |
常规加权均线周期。 |
NormalMaShift |
int |
3 |
常规均线向后偏移的已完成 K 线数量。 |
SlowMaPeriod |
int |
60 |
慢速加权均线周期。 |
SlowMaShift |
int |
6 |
慢速均线向后偏移的已完成 K 线数量。 |
FastSarStep |
decimal |
0.02 |
快速 SAR 的加速系数。 |
FastSarMax |
decimal |
0.2 |
快速 SAR 的最大加速值。 |
NormalSarStep |
decimal |
0.02 |
常规 SAR 的加速系数。 |
NormalSarMax |
decimal |
0.2 |
常规 SAR 的最大加速值。 |
说明
- 跟踪止损在蜡烛收盘时检查,如需分笔级别的精度,可结合基于报价的保护组件使用。
- 若能获取证券的
PriceStep,则点值等于该价格步长;否则默认假设外汇常用的 0.0001 Tick。
- 为贴近原 MQ5 逻辑,所有信号均在已完成的蜡烛上触发,策略不会预先挂单,而是直接提交市价委托。
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 ImaIsarEaStrategy : 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 ImaIsarEaStrategy()
{
_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 ima_isar_ea_strategy(Strategy):
def __init__(self):
super(ima_isar_ea_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(ima_isar_ea_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(ima_isar_ea_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 ima_isar_ea_strategy()