玛格纳掠夺者铜版策略
该策略复现原始 MQL 专家中的“彩虹”均线系统。 它使用十一条指数移动平均线,并结合 MACD 与 ADX 过滤器。
工作原理
- 计算 EMA(2)、EMA(3)、EMA(5)、EMA(8)、EMA(13)、EMA(21)、EMA(34)、EMA(55)、EMA(89)、EMA(144) 和 EMA(233) 的收盘价。
- 计算 MACD(快线、慢线、信号线),使用信号线判断方向。
- 计算 ADX 以评估趋势强度。
- 买入 条件:
- MACD 信号线大于零;
- 所有 EMA 严格递增(快线在慢线之上);
- ADX 大于阈值。
- 卖出 条件:
- MACD 信号线小于零;
- 所有 EMA 严格递减;
- ADX 大于阈值。
出现相反信号时,仓位反向。
参数
| 名称 | 说明 |
|---|---|
FastMacd |
MACD 快速 EMA 周期 |
SlowMacd |
MACD 慢速 EMA 周期 |
SignalPeriod |
MACD 信号线周期 |
AdxPeriod |
ADX 指标周期 |
AdxThreshold |
进行交易所需的最小 ADX 值 |
CandleType |
计算所使用的K线周期 |
备注
- 策略通过
BuyMarket和SellMarket下达市价单。 - 同一时间仅持有一个方向的仓位,出现反向信号时将反向开仓。
- 未实现原策略中的可选马丁格尔逻辑。
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>
/// EMA rainbow trend following strategy.
/// </summary>
public class MagnaRapaxCopperStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MagnaRapaxCopperStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 13)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 34)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}
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 magna_rapax_copper_strategy(Strategy):
def __init__(self):
super(magna_rapax_copper_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 13) .SetDisplay("Fast Period", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 34) .SetDisplay("Slow Period", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(magna_rapax_copper_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(magna_rapax_copper_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
self.SubscribeCandles(self.candle_type).Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fv = float(fast_val)
sv = float(slow_val)
if not self._has_prev:
self._prev_fast = fv
self._prev_slow = sv
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return magna_rapax_copper_strategy()