Exp Moving Average FN Strategy
该策略基于指数移动平均线 (EMA) 斜率的反转进行交易。当 EMA 在下降后转向上升时做多,当 EMA 在上升后转向下降时做空。止损和止盈以绝对价格单位表示。
细节
- 入场条件:
- 做多:EMA 斜率由下降转为上升。
- 做空:EMA 斜率由上升转为下降。
- 方向:双向。
- 出场条件:
- 斜率反转为相反方向。
- 触发止损或止盈。
- 止损:是,使用绝对价格距离。
- 默认值:
EMA Length= 12Stop Loss= 1000Take Profit= 2000Candle Type= 4-hour timeframe
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:单一(EMA)
- 止损:是
- 复杂度:中等
- 时间框架:中期
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中等
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 slope reversal strategy.
/// Enters long when EMA turns up, short when EMA turns down.
/// </summary>
public class ExpMovingAverageFnStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private decimal _prevPrevEma;
private int _count;
public int Length { get => _length.Value; set => _length.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ExpMovingAverageFnStrategy()
{
_length = Param(nameof(Length), 12)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevEma = 0;
_prevPrevEma = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = Length };
SubscribeCandles(CandleType)
.Bind(ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
_count++;
if (_count < 3)
{
_prevPrevEma = _prevEma;
_prevEma = emaValue;
return;
}
// Buy when EMA turns up
var turnUp = _prevEma < _prevPrevEma && emaValue > _prevEma;
// Sell when EMA turns down
var turnDown = _prevEma > _prevPrevEma && emaValue < _prevEma;
if (turnUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (turnDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevEma = _prevEma;
_prevEma = emaValue;
}
}
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_moving_average_fn_strategy(Strategy):
def __init__(self):
super(exp_moving_average_fn_strategy, self).__init__()
self._length = self.Param("Length", 12) \
.SetDisplay("EMA Length", "EMA period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_ema = 0.0
self._prev_prev_ema = 0.0
self._count = 0
@property
def Length(self):
return self._length.Value
@Length.setter
def Length(self, value):
self._length.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(exp_moving_average_fn_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.Length
self.SubscribeCandles(self.CandleType) \
.Bind(ema, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
ema_val = float(ema_value)
self._count += 1
if self._count < 3:
self._prev_prev_ema = self._prev_ema
self._prev_ema = ema_val
return
turn_up = self._prev_ema < self._prev_prev_ema and ema_val > self._prev_ema
turn_down = self._prev_ema > self._prev_prev_ema and ema_val < self._prev_ema
if turn_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif turn_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_ema = self._prev_ema
self._prev_ema = ema_val
def OnReseted(self):
super(exp_moving_average_fn_strategy, self).OnReseted()
self._prev_ema = 0.0
self._prev_prev_ema = 0.0
self._count = 0
def CreateClone(self):
return exp_moving_average_fn_strategy()