Strategie Hull Ma Stochastic
Hull Moving Average + Stochastic Oscillator Strategie. Die Strategie tritt ein, wenn sich die HMA-Trendrichtung ändert und der Stochastic überverkaufte/überkaufte Bedingungen bestätigt.
Tests zeigen eine durchschnittliche Jahresrendite von etwa 94%. Die Strategie funktioniert am besten auf dem Aktienmarkt.
Der Hull MA zeigt die Trendrichtung schnell auf. Der Stochastic wartet auf einen Rückgang oder eine Erholung innerhalb dieses Trends, um den Trade auszulösen.
Ein flexibler Ansatz für Trader, die glatte Signale bevorzugen. ATR-basierte Stops begrenzen den potenziellen Verlust.
Details
- Einstiegskriterien:
- Long:
HullMA turning up && StochK < StochOversold - Short:
HullMA turning down && StochK > StochOverbought
- Long:
- Long/Short: Beide
- Ausstiegskriterien:
- Hull MA Richtungswechsel
- Stops: ATR-basiert mit
StopLossAtr - Standardwerte:
HmaPeriod= 9StochPeriod= 14StochK= 3StochOversold= 20StochOverbought= 80CandleType= TimeSpan.FromMinutes(5).TimeFrame()StopLossAtr= 2AtrPeriod= 14 Der HMA dreht nach oben, wenn er nach einem Rückgang steigt, und nach unten, wenn er nach einem Anstieg fällt; ein Long schließt, wenn er fällt, ein Short, wenn er steigt. %K ist die Stochastik über StochPeriod Kerzen, geglättet über StochK Kerzen, %D spielt keine Rolle. Der Stop liegt StopLossAtr ATR (AtrPeriod) vom Einstiegsschluss entfernt und wird auf Kerzenschlüssen geprüft. Ein Einstiegssignal gegen eine offene Position dreht sie.
- Filter:
- Kategorie: Mean Reversion
- Richtung: Beide
- Indikatoren: Hull MA, Moving Average, Stochastic Oscillator
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Mittelfristig
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
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>
/// Hull MA Stochastic strategy.
/// The Hull average turns up when it rises after falling and turns down when it falls after rising. A turn up with %K below StochOversold
/// goes long and a turn down with %K above StochOverbought goes short, reversing an opposite position. A long closes when the Hull average
/// falls and a short when it rises. %K is the stochastic over StochPeriod candles
/// smoothed over StochK candles. The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
/// </summary>
public class HullMaStochasticStrategy : Strategy
{
private readonly StrategyParam<int> _hmaPeriod;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<int> _stochK;
private readonly StrategyParam<decimal> _stochOversold;
private readonly StrategyParam<decimal> _stochOverbought;
private readonly StrategyParam<decimal> _stopLossAtr;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevHull;
private decimal? _prevPrevHull;
private decimal _stopPrice;
/// <summary>
/// Period of the Hull moving average.
/// </summary>
public int HmaPeriod
{
get => _hmaPeriod.Value;
set => _hmaPeriod.Value = value;
}
/// <summary>
/// Lookback period of the raw stochastic.
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Smoothing period of %K.
/// </summary>
public int StochK
{
get => _stochK.Value;
set => _stochK.Value = value;
}
/// <summary>
/// %K level for longs.
/// </summary>
public decimal StochOversold
{
get => _stochOversold.Value;
set => _stochOversold.Value = value;
}
/// <summary>
/// %K level for shorts.
/// </summary>
public decimal StochOverbought
{
get => _stochOverbought.Value;
set => _stochOverbought.Value = value;
}
/// <summary>
/// Stop distance from the entry in ATRs.
/// </summary>
public decimal StopLossAtr
{
get => _stopLossAtr.Value;
set => _stopLossAtr.Value = value;
}
/// <summary>
/// Period of the stop ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public HullMaStochasticStrategy()
{
_hmaPeriod = Param(nameof(HmaPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("HMA Period", "Period of the Hull moving average", "Indicators");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Stochastic Period", "Lookback period of the raw stochastic", "Stochastic");
_stochK = Param(nameof(StochK), 3)
.SetGreaterThanZero()
.SetDisplay("Stochastic %K", "Smoothing period of %K", "Stochastic");
_stochOversold = Param(nameof(StochOversold), 20m)
.SetDisplay("Stochastic Oversold", "%K level for longs", "Stochastic");
_stochOverbought = Param(nameof(StochOverbought), 80m)
.SetDisplay("Stochastic Overbought", "%K level for shorts", "Stochastic");
_stopLossAtr = Param(nameof(StopLossAtr), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the stop ATR", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHull = null;
_prevPrevHull = null;
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevHull = null;
_prevPrevHull = null;
_stopPrice = default;
var hull = new HullMovingAverage { Length = HmaPeriod };
// The D line of the core oscillator is the smoothed %K.
var stochastic = new StochasticOscillator
{
K = { Length = StochPeriod },
D = { Length = StochK },
};
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(hull, stochastic, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, hull);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, stochastic);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue hullValue, IIndicatorValue stochasticValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!hullValue.IsFormed || !stochasticValue.IsFormed || !atrValue.IsFormed)
return;
if (stochasticValue is not IStochasticOscillatorValue { D: decimal k })
return;
var hull = hullValue.GetValue<decimal>();
var prevHull = _prevHull;
var prevPrevHull = _prevPrevHull;
_prevPrevHull = prevHull;
_prevHull = hull;
if (prevHull is not decimal last || prevPrevHull is not decimal beforeLast)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var atr = atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
var rising = hull > last;
var falling = hull < last;
var turnsUp = rising && last < beforeLast;
var turnsDown = falling && last > beforeLast;
if (turnsUp && k < StochOversold && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - StopLossAtr * atr;
}
else if (turnsDown && k > StochOverbought && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + StopLossAtr * atr;
}
else if (Position > 0 && (falling || (StopLossAtr > 0 && close <= _stopPrice)))
{
SellMarket(Position);
}
else if (Position < 0 && (rising || (StopLossAtr > 0 && close >= _stopPrice)))
{
BuyMarket(-Position);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import HullMovingAverage, StochasticOscillator, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class hull_ma_stochastic_strategy(Strategy):
"""
Hull MA Stochastic strategy.
The Hull average turns up when it rises after falling and turns down when it falls after rising. A turn up with %K below StochOversold
goes long and a turn down with %K above StochOverbought goes short, reversing an opposite position. A long closes when the Hull average
falls and a short when it rises. %K is the stochastic over StochPeriod candles
smoothed over StochK candles. The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(hull_ma_stochastic_strategy, self).__init__()
self._hma_period = self.Param("HmaPeriod", 9).SetGreaterThanZero().SetDisplay("HMA Period", "Period of the Hull moving average", "Indicators")
self._stoch_period = self.Param("StochPeriod", 14).SetGreaterThanZero().SetDisplay("Stochastic Period", "Lookback period of the raw stochastic", "Stochastic")
self._stoch_k = self.Param("StochK", 3).SetGreaterThanZero().SetDisplay("Stochastic %K", "Smoothing period of %K", "Stochastic")
self._stoch_oversold = self.Param("StochOversold", 20.0).SetDisplay("Stochastic Oversold", "%K level for longs", "Stochastic")
self._stoch_overbought = self.Param("StochOverbought", 80.0).SetDisplay("Stochastic Overbought", "%K level for shorts", "Stochastic")
self._stop_loss_atr = self.Param("StopLossAtr", 2.0).SetNotNegative().SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the stop ATR", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._prev_hull = None
self._prev_prev_hull = None
self._stop_price = Decimal(0)
def OnReseted(self):
super(hull_ma_stochastic_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(hull_ma_stochastic_strategy, self).OnStarted2(time)
self._reset_state()
hull = HullMovingAverage()
hull.Length = self._hma_period.Value
# The D line of the core oscillator is the smoothed %K.
stochastic = StochasticOscillator()
stochastic.K.Length = self._stoch_period.Value
stochastic.D.Length = self._stoch_k.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(hull, stochastic, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, hull)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, stochastic)
def _process_candle(self, candle, hull_value, stochastic_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not hull_value.IsFormed or not stochastic_value.IsFormed or not atr_value.IsFormed or stochastic_value.D is None:
return
hull = hull_value.GetValue[Decimal](None)
prev_hull = self._prev_hull
prev_prev_hull = self._prev_prev_hull
self._prev_prev_hull = prev_hull
self._prev_hull = hull
if prev_hull is None or prev_prev_hull is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
k = stochastic_value.D
atr = atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
rising = hull > prev_hull
falling = hull < prev_hull
turns_up = rising and prev_hull < prev_prev_hull
turns_down = falling and prev_hull > prev_prev_hull
stop_atr = Decimal(self._stop_loss_atr.Value)
if turns_up and k < Decimal(self._stoch_oversold.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - stop_atr * atr
elif turns_down and k > Decimal(self._stoch_overbought.Value) and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + stop_atr * atr
elif self.Position > 0 and (falling or (stop_atr > 0 and close <= self._stop_price)):
self.SellMarket(self.Position)
elif self.Position < 0 and (rising or (stop_atr > 0 and close >= self._stop_price)):
self.BuyMarket(-self.Position)
def CreateClone(self):
return hull_ma_stochastic_strategy()