Mean Deviation Index 策略
该策略利用平均偏差指数(MDX) 交易与 ATR 过滤 EMA 的偏离。 当 MDX 高于设定水平时做多,当 MDX 低于负水平时做空。
细节
- 入场:
- MDX > Level 时做多
- MDX < -Level 时做空
- 出场:反向信号
- 指标:EMA 与 ATR
using System;
using System.Linq;
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 MeanDeviationIndexStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<decimal> _level;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private ExponentialMovingAverage _ema;
private AverageTrueRange _atr;
private decimal _previousMdx;
private bool _hasPreviousMdx;
private int _barsFromSignal;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal AtrMultiplier { get => _atrMultiplier.Value; set => _atrMultiplier.Value = value; }
public decimal Level { get => _level.Value; set => _level.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MeanDeviationIndexStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA length", "General");
_atrPeriod = Param(nameof(AtrPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR length", "General");
_atrMultiplier = Param(nameof(AtrMultiplier), 1m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "ATR scaling", "General");
_level = Param(nameof(Level), 1.2m)
.SetGreaterThanZero()
.SetDisplay("Level", "Normalized MDI threshold", "General");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 10)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown Bars", "Minimum bars between entries", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Candles timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ema = null;
_atr = null;
_previousMdx = 0m;
_hasPreviousMdx = false;
_barsFromSignal = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
StartProtection(null, null);
_ema = new ExponentialMovingAverage { Length = EmaPeriod };
_atr = new AverageTrueRange { Length = AtrPeriod };
_previousMdx = 0m;
_hasPreviousMdx = false;
_barsFromSignal = SignalCooldownBars;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ema, _atr, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_ema.IsFormed || !_atr.IsFormed)
return;
var atrVal = atrValue * AtrMultiplier;
if (atrVal <= 0m)
return;
var dev = candle.ClosePrice - emaValue;
var mdx = dev / atrVal;
var crossedUp = _hasPreviousMdx && _previousMdx <= Level && mdx > Level;
var crossedDown = _hasPreviousMdx && _previousMdx >= -Level && mdx < -Level;
_previousMdx = mdx;
_hasPreviousMdx = true;
_barsFromSignal++;
if (_barsFromSignal < SignalCooldownBars)
return;
if (crossedUp && Position <= 0)
{
BuyMarket();
_barsFromSignal = 0;
}
else if (crossedDown && Position >= 0)
{
SellMarket();
_barsFromSignal = 0;
}
}
}
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, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class mean_deviation_index_strategy(Strategy):
def __init__(self):
super(mean_deviation_index_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 26) \
.SetGreaterThanZero() \
.SetDisplay("EMA Period", "EMA length", "General")
self._atr_period = self.Param("AtrPeriod", 26) \
.SetGreaterThanZero() \
.SetDisplay("ATR Period", "ATR length", "General")
self._atr_multiplier = self.Param("AtrMultiplier", 1.0) \
.SetGreaterThanZero() \
.SetDisplay("ATR Multiplier", "ATR scaling", "General")
self._level = self.Param("Level", 1.2) \
.SetGreaterThanZero() \
.SetDisplay("Level", "Normalized MDI threshold", "General")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 10) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown Bars", "Minimum bars between entries", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Candles timeframe", "General")
self._previous_mdx = 0.0
self._has_previous_mdx = False
self._bars_from_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(mean_deviation_index_strategy, self).OnReseted()
self._previous_mdx = 0.0
self._has_previous_mdx = False
self._bars_from_signal = 0
def OnStarted2(self, time):
super(mean_deviation_index_strategy, self).OnStarted2(time)
self._previous_mdx = 0.0
self._has_previous_mdx = False
self._bars_from_signal = self._signal_cooldown_bars.Value
self._ema = ExponentialMovingAverage()
self._ema.Length = self._ema_period.Value
self._atr = AverageTrueRange()
self._atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self._atr, self.OnProcess).Start()
def OnProcess(self, candle, ema_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed or not self._atr.IsFormed:
return
ev = float(ema_value)
av = float(atr_value) * float(self._atr_multiplier.Value)
if av <= 0.0:
return
close = float(candle.ClosePrice)
dev = close - ev
mdx = dev / av
lv = float(self._level.Value)
crossed_up = self._has_previous_mdx and self._previous_mdx <= lv and mdx > lv
crossed_down = self._has_previous_mdx and self._previous_mdx >= -lv and mdx < -lv
self._previous_mdx = mdx
self._has_previous_mdx = True
self._bars_from_signal += 1
cd = self._signal_cooldown_bars.Value
if self._bars_from_signal < cd:
return
if crossed_up and self.Position <= 0:
self.BuyMarket()
self._bars_from_signal = 0
elif crossed_down and self.Position >= 0:
self.SellMarket()
self._bars_from_signal = 0
def CreateClone(self):
return mean_deviation_index_strategy()