Estrategia de Histograma Adaptativo MACD
La estrategia MACD Adaptive Histogram está construida alrededor del MACD con umbral de histograma adaptativo.
Las pruebas indican un retorno anual promedio de aproximadamente el 184%. Funciona mejor en el mercado cripto.
Las señales se disparan cuando el Histograma confirma cambios de tendencia en datos intradía (15m). Esto hace que el método sea adecuado para traders activos.
Los stops se basan en múltiplos de ATR y factores como FastPeriod, SlowPeriod. Ajuste estos valores predeterminados para equilibrar el riesgo y la recompensa.
Detalles
- Criterios de entrada: ver implementación para las condiciones del indicador.
- Largo/Corto: Ambos.
- Criterios de salida: señal opuesta o lógica de stop.
- Stops: Sí, usando cálculos basados en indicadores.
- Valores predeterminados:
FastPeriod = 12SlowPeriod = 26SignalPeriod = 9HistogramAvgPeriod = 20StdDevMultiplier = 2.0mStopLossPercent = 2.0mCandleType = TimeSpan.FromMinutes(15).TimeFrame()
- Filtros:
- Categoría: Seguimiento de tendencia
- Dirección: Ambos
- Indicadores: Histogram
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Intradía (15m)
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// MACD strategy that adapts entry thresholds to the rolling distribution of the histogram.
/// </summary>
public class MacdAdaptiveHistogramStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<int> _histogramAvgPeriod;
private readonly StrategyParam<decimal> _stdDevMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private MovingAverageConvergenceDivergenceSignal _macd;
private SimpleMovingAverage _histAvg;
private StandardDeviation _histStdDev;
private int _cooldown;
/// <summary>
/// Fast EMA period for MACD.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow EMA period for MACD.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Signal line period for MACD.
/// </summary>
public int SignalPeriod
{
get => _signalPeriod.Value;
set => _signalPeriod.Value = value;
}
/// <summary>
/// Lookback period for the histogram statistics.
/// </summary>
public int HistogramAvgPeriod
{
get => _histogramAvgPeriod.Value;
set => _histogramAvgPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for adaptive histogram thresholds.
/// </summary>
public decimal StdDevMultiplier
{
get => _stdDevMultiplier.Value;
set => _stdDevMultiplier.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Bars to wait after each order.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public MacdAdaptiveHistogramStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetRange(2, 50)
.SetDisplay("Fast Period", "Fast EMA period for MACD", "MACD");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetRange(3, 100)
.SetDisplay("Slow Period", "Slow EMA period for MACD", "MACD");
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetRange(2, 50)
.SetDisplay("Signal Period", "Signal line period for MACD", "MACD");
_histogramAvgPeriod = Param(nameof(HistogramAvgPeriod), 20)
.SetRange(5, 100)
.SetDisplay("Histogram Avg Period", "Lookback period for histogram statistics", "Signals");
_stdDevMultiplier = Param(nameof(StdDevMultiplier), 1.2m)
.SetRange(0.1m, 5m)
.SetDisplay("StdDev Multiplier", "Standard deviation multiplier for adaptive thresholds", "Signals");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 16)
.SetRange(1, 200)
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for the strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_macd = null;
_histAvg = null;
_histStdDev = null;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Security is not specified.");
_macd = new MovingAverageConvergenceDivergenceSignal
{
Macd =
{
ShortMa = { Length = FastPeriod },
LongMa = { Length = SlowPeriod },
},
SignalMa = { Length = SignalPeriod },
};
_histAvg = new SimpleMovingAverage { Length = HistogramAvgPeriod };
_histStdDev = new StandardDeviation { Length = HistogramAvgPeriod };
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_macd, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _macd);
DrawOwnTrades(area);
}
StartProtection(new Unit(0, UnitTypes.Absolute), new Unit(StopLossPercent, UnitTypes.Percent), false);
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue)
{
if (candle.State != CandleStates.Finished)
return;
var typedValue = (MovingAverageConvergenceDivergenceSignalValue)macdValue;
if (typedValue.Macd is not decimal macd ||
typedValue.Signal is not decimal signal)
return;
var histogram = macd - signal;
var histogramAverage = _histAvg.Process(histogram, candle.OpenTime, true).ToDecimal();
var histogramStdDev = _histStdDev.Process(histogram, candle.OpenTime, true).ToDecimal();
if (!_macd.IsFormed || !_histAvg.IsFormed || !_histStdDev.IsFormed)
return;
if (ProcessState != ProcessStates.Started)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
if (histogramStdDev <= 0)
return;
var upperThreshold = histogramAverage + StdDevMultiplier * histogramStdDev;
var lowerThreshold = histogramAverage - StdDevMultiplier * histogramStdDev;
if (Position == 0)
{
if (histogram >= upperThreshold && histogram > 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (histogram <= lowerThreshold && histogram < 0)
{
SellMarket();
_cooldown = CooldownBars;
}
return;
}
if (Position > 0 && histogram <= histogramAverage)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
else if (Position < 0 && histogram >= histogramAverage)
{
BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import MovingAverageConvergenceDivergenceSignal, SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class macd_adaptive_histogram_strategy(Strategy):
"""
MACD strategy that adapts entry thresholds to the rolling distribution of the histogram.
"""
def __init__(self):
super(macd_adaptive_histogram_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 12) \
.SetDisplay("Fast Period", "Fast EMA period for MACD", "MACD")
self._slow_period = self.Param("SlowPeriod", 26) \
.SetDisplay("Slow Period", "Slow EMA period for MACD", "MACD")
self._signal_period = self.Param("SignalPeriod", 9) \
.SetDisplay("Signal Period", "Signal line period for MACD", "MACD")
self._histogram_avg_period = self.Param("HistogramAvgPeriod", 20) \
.SetDisplay("Histogram Avg Period", "Lookback period for histogram statistics", "Signals")
self._std_dev_multiplier = self.Param("StdDevMultiplier", 1.2) \
.SetDisplay("StdDev Multiplier", "Standard deviation multiplier for adaptive thresholds", "Signals")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 16) \
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Type of candles for the strategy", "General")
self._macd = None
self._hist_avg = None
self._hist_std_dev = None
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(macd_adaptive_histogram_strategy, self).OnReseted()
self._macd = None
self._hist_avg = None
self._hist_std_dev = None
self._cooldown = 0
def OnStarted2(self, time):
super(macd_adaptive_histogram_strategy, self).OnStarted2(time)
hist_period = int(self._histogram_avg_period.Value)
self._macd = MovingAverageConvergenceDivergenceSignal()
self._macd.Macd.ShortMa.Length = int(self._fast_period.Value)
self._macd.Macd.LongMa.Length = int(self._slow_period.Value)
self._macd.SignalMa.Length = int(self._signal_period.Value)
self._hist_avg = SimpleMovingAverage()
self._hist_avg.Length = hist_period
self._hist_std_dev = StandardDeviation()
self._hist_std_dev.Length = hist_period
self._cooldown = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._macd, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._macd)
self.DrawOwnTrades(area)
self.StartProtection(Unit(0, UnitTypes.Absolute), Unit(self._stop_loss_percent.Value, UnitTypes.Percent), False)
def _process_candle(self, candle, macd_value):
if candle.State != CandleStates.Finished:
return
macd_val = macd_value.Macd
signal_val = macd_value.Signal
if macd_val is None or signal_val is None:
return
macd_f = float(macd_val)
signal_f = float(signal_val)
histogram = macd_f - signal_f
histogram_average = float(process_float(self._hist_avg, Decimal(histogram), candle.OpenTime, True))
histogram_std_dev = float(process_float(self._hist_std_dev, Decimal(histogram), candle.OpenTime, True))
if not self._macd.IsFormed or not self._hist_avg.IsFormed or not self._hist_std_dev.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown > 0:
self._cooldown -= 1
return
if histogram_std_dev <= 0:
return
sdm = float(self._std_dev_multiplier.Value)
upper_threshold = histogram_average + sdm * histogram_std_dev
lower_threshold = histogram_average - sdm * histogram_std_dev
cd = int(self._cooldown_bars.Value)
if self.Position == 0:
if histogram >= upper_threshold and histogram > 0:
self.BuyMarket()
self._cooldown = cd
elif histogram <= lower_threshold and histogram < 0:
self.SellMarket()
self._cooldown = cd
return
if self.Position > 0 and histogram <= histogram_average:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = cd
elif self.Position < 0 and histogram >= histogram_average:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = cd
def CreateClone(self):
return macd_adaptive_histogram_strategy()