Das Januar-Barometer besagt, dass die Marktentwicklung im Januar den Ton für den Rest des Jahres vorgibt. Diese Strategie investiert nur dann in einen Aktien-ETF für den Rest des Jahres, wenn der Januar höher schließt; andernfalls verbleibt sie in einem Cash-Proxy. Die Allokationsentscheidung wird einmal pro Jahr getroffen und bis zum Jahresende gehalten.
Am ersten Handelstag im Februar misst der Algorithmus die Gesamtrendite des Aktien-ETF im Januar. Ist die Rendite positiv und übersteigt der Orderwert den Mindestschwellenwert, kauft er den Aktien-ETF und hält ihn bis Dezember. War der Januar negativ, wird stattdessen der Cash-ETF gehalten. Der Prozess wiederholt sich jedes Jahr.
Details
Einstiegskriterien:
Am ersten Handelstag im Februar die gesamte Januarrendite des EquityETF berechnen.
EquityETF kaufen, wenn die Rendite positiv ist und die Ordergröße >= MinTradeUsd; andernfalls CashETF halten.
Long/Short: Nur Long in Aktien oder Bargeld.
Ausstiegskriterien: Die Aktienposition am letzten Handelstag des Jahres schließen.
Stops: Keine.
Standardwerte:
EquityETF – ETF, der den Aktienmarkt repräsentiert.
CashETF – Cash-Proxy-ETF.
CandleType = 1 Tag.
MinTradeUsd – Mindesttransaktionswert.
Filter:
Kategorie: Saisonal.
Richtung: Nur Long.
Zeitrahmen: Langfristig.
Rebalancing: Jährlich.
using System;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// January barometer strategy generalized to any month.
/// Measures the return over the first N candles of each evaluation period,
/// then goes long if bullish or short if bearish for the remainder.
/// Re-evaluates at the start of each new period.
/// </summary>
public class JanuaryBarometerStrategy : Strategy
{
private readonly StrategyParam<int> _measureCandles;
private readonly StrategyParam<int> _periodCandles;
private readonly StrategyParam<DataType> _candleType;
private int _candleCount;
private decimal _periodOpen;
private decimal _measureClose;
private bool _measured;
/// <summary>
/// Number of candles in the measurement (barometer) window.
/// </summary>
public int MeasureCandles
{
get => _measureCandles.Value;
set => _measureCandles.Value = value;
}
/// <summary>
/// Total candles per evaluation period before resetting.
/// </summary>
public int PeriodCandles
{
get => _periodCandles.Value;
set => _periodCandles.Value = value;
}
/// <summary>
/// The type of candles to use for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public JanuaryBarometerStrategy()
{
_measureCandles = Param(nameof(MeasureCandles), 50)
.SetGreaterThanZero()
.SetDisplay("Measure Candles", "Number of candles for barometer measurement", "General");
_periodCandles = Param(nameof(PeriodCandles), 200)
.SetGreaterThanZero()
.SetDisplay("Period Candles", "Total candles per evaluation period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candleCount = 0;
_periodOpen = 0m;
_measureClose = 0m;
_measured = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_candleCount++;
// Start of a new period
if (_candleCount == 1)
{
_periodOpen = candle.OpenPrice;
_measured = false;
}
// End of measurement window
if (_candleCount == MeasureCandles && !_measured)
{
_measureClose = candle.ClosePrice;
_measured = true;
if (_periodOpen > 0m)
{
var barometerReturn = (_measureClose - _periodOpen) / _periodOpen;
var bullish = barometerReturn > 0m;
// Enter position based on barometer reading
if (bullish && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (!bullish && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
}
}
// End of period: close position and reset for next period
if (_candleCount >= PeriodCandles)
{
if (Position > 0)
SellMarket();
else if (Position < 0)
BuyMarket();
_candleCount = 0;
_periodOpen = 0m;
_measureClose = 0m;
_measured = false;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class january_barometer_strategy(Strategy):
"""
January barometer strategy generalized to any month.
Measures the return over the first N candles of each evaluation period,
then goes long if bullish or short if bearish for the remainder.
Re-evaluates at the start of each new period.
"""
def __init__(self):
super(january_barometer_strategy, self).__init__()
self._measure_candles = self.Param("MeasureCandles", 50) \
.SetGreaterThanZero() \
.SetDisplay("Measure Candles", "Number of candles for barometer measurement", "General")
self._period_candles = self.Param("PeriodCandles", 200) \
.SetGreaterThanZero() \
.SetDisplay("Period Candles", "Total candles per evaluation period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._candle_count = 0
self._period_open = 0
self._measure_close = 0
self._measured = False
@property
def MeasureCandles(self):
return self._measure_candles.Value
@property
def PeriodCandles(self):
return self._period_candles.Value
@property
def CandleType(self):
return self._candle_type.Value
def OnReseted(self):
super(january_barometer_strategy, self).OnReseted()
self._candle_count = 0
self._period_open = 0
self._measure_close = 0
self._measured = False
def OnStarted2(self, time):
super(january_barometer_strategy, self).OnStarted2(time)
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle):
if candle.State != CandleStates.Finished:
return
self._candle_count += 1
# Start of a new period
if self._candle_count == 1:
self._period_open = candle.OpenPrice
self._measured = False
# End of measurement window
if self._candle_count == self.MeasureCandles and not self._measured:
self._measure_close = candle.ClosePrice
self._measured = True
if self._period_open > 0:
barometer_return = (self._measure_close - self._period_open) / self._period_open
bullish = barometer_return > 0
# Enter position based on barometer reading
if bullish and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif not bullish and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
# End of period: close position and reset for next period
if self._candle_count >= self.PeriodCandles:
if self.Position > 0:
self.SellMarket()
elif self.Position < 0:
self.BuyMarket()
self._candle_count = 0
self._period_open = 0
self._measure_close = 0
self._measured = False
def CreateClone(self):
return january_barometer_strategy()