Long EMA Advanced Exit
Long EMA Advanced Exit 是一个仅做多策略,当短期均线向上穿越中期均线且价格位于长期均线上方时入场。退出条件包括 MACD 死叉、价格收于选定均线之下、短期均线下穿中期均线、可选的跟踪止损以及基于 ATR 的波动率过滤器。
细节
- 数据:价格K线。
- 入场条件:
- 多头:短期均线上穿中期均线且价格在长期均线上方。
- 出场条件:MACD 死叉、价格跌破选定均线、短期均线下穿中期均线、可选跟踪止损。
- 止损:可选跟踪止损。
- 默认参数:
MaType= EMAEntryConditionType= CrossoverLongTermPeriod= 200ShortTermPeriod= 5MidTermPeriod= 10EnableMacdExit= trueMacdCandleType= TimeSpan.FromDays(7).TimeFrame()MacdFastLength= 12MacdSlowLength= 26MacdSignalLength= 9UseTrailingStop= falseTrailingStopPercent= 15UseMaCloseExit= falseMaCloseExitPeriod= 50UseMaCrossExit= trueUseVolatilityFilter= falseAtrPeriod= 14AtrMultiplier= 1.5CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- 过滤器:
- 分类:趋势跟随
- 方向:仅多头
- 指标:MA, MACD, ATR
- 复杂度:中等
- 风险等级:中等
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA crossover strategy with trailing exit.
/// </summary>
public class LongEmaAdvancedExitStrategy : Strategy
{
private readonly StrategyParam<int> _shortPeriod;
private readonly StrategyParam<int> _midPeriod;
private readonly StrategyParam<int> _longPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevShort;
private decimal _prevMid;
private int _barsSinceSignal;
public int ShortPeriod { get => _shortPeriod.Value; set => _shortPeriod.Value = value; }
public int MidPeriod { get => _midPeriod.Value; set => _midPeriod.Value = value; }
public int LongPeriod { get => _longPeriod.Value; set => _longPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public LongEmaAdvancedExitStrategy()
{
_shortPeriod = Param(nameof(ShortPeriod), 10)
.SetDisplay("Short EMA", "Short EMA period", "Indicators");
_midPeriod = Param(nameof(MidPeriod), 20)
.SetDisplay("Mid EMA", "Mid EMA period", "Indicators");
_longPeriod = Param(nameof(LongPeriod), 40)
.SetDisplay("Long EMA", "Long EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candles", "General");
_cooldownBars = Param(nameof(CooldownBars), 38)
.SetDisplay("Cooldown Bars", "Min bars between signals", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevShort = 0;
_prevMid = 0;
_barsSinceSignal = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevShort = 0;
_prevMid = 0;
_barsSinceSignal = 0;
var emaShort = new ExponentialMovingAverage { Length = ShortPeriod };
var emaMid = new ExponentialMovingAverage { Length = MidPeriod };
var emaLong = new ExponentialMovingAverage { Length = LongPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(emaShort, emaMid, emaLong, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, emaShort);
DrawIndicator(area, emaMid);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal shortVal, decimal midVal, decimal longVal)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceSignal++;
if (_prevShort == 0 || _prevMid == 0)
{
_prevShort = shortVal;
_prevMid = midVal;
return;
}
if (_barsSinceSignal < CooldownBars)
{
_prevShort = shortVal;
_prevMid = midVal;
return;
}
// Entry: short crosses above mid + price above long EMA -> buy
var crossUp = _prevShort <= _prevMid && shortVal > midVal;
if (crossUp && candle.ClosePrice > longVal && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_barsSinceSignal = 0;
}
// Entry: short crosses below mid + price below long EMA -> sell
var crossDown = _prevShort >= _prevMid && shortVal < midVal;
if (crossDown && candle.ClosePrice < longVal && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_barsSinceSignal = 0;
}
_prevShort = shortVal;
_prevMid = midVal;
}
}
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 long_ema_advanced_exit_strategy(Strategy):
"""Triple EMA crossover with long EMA trend filter."""
def __init__(self):
super(long_ema_advanced_exit_strategy, self).__init__()
self._short_period = self.Param("ShortPeriod", 10).SetDisplay("Short EMA", "Short EMA period", "Indicators")
self._mid_period = self.Param("MidPeriod", 20).SetDisplay("Mid EMA", "Mid EMA period", "Indicators")
self._long_period = self.Param("LongPeriod", 40).SetDisplay("Long EMA", "Long EMA period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 38).SetDisplay("Cooldown Bars", "Min bars between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_short = 0.0
self._prev_mid = 0.0
self._bars_since_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(long_ema_advanced_exit_strategy, self).OnReseted()
self._prev_short = 0.0
self._prev_mid = 0.0
self._bars_since_signal = 0
def OnStarted2(self, time):
super(long_ema_advanced_exit_strategy, self).OnStarted2(time)
ema_short = ExponentialMovingAverage()
ema_short.Length = self._short_period.Value
ema_mid = ExponentialMovingAverage()
ema_mid.Length = self._mid_period.Value
ema_long = ExponentialMovingAverage()
ema_long.Length = self._long_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema_short, ema_mid, ema_long, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema_short)
self.DrawIndicator(area, ema_mid)
self.DrawOwnTrades(area)
def _process_candle(self, candle, short_val, mid_val, long_val):
if candle.State != CandleStates.Finished:
return
self._bars_since_signal += 1
sv = float(short_val)
mv = float(mid_val)
lv = float(long_val)
if self._prev_short == 0 or self._prev_mid == 0:
self._prev_short = sv
self._prev_mid = mv
return
if self._bars_since_signal < self._cooldown_bars.Value:
self._prev_short = sv
self._prev_mid = mv
return
close = float(candle.ClosePrice)
cross_up = self._prev_short <= self._prev_mid and sv > mv
if cross_up and close > lv and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._bars_since_signal = 0
cross_down = self._prev_short >= self._prev_mid and sv < mv
if cross_down and close < lv and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._bars_since_signal = 0
self._prev_short = sv
self._prev_mid = mv
def CreateClone(self):
return long_ema_advanced_exit_strategy()