| Overall Statistics |
|
Total Trades
47
Average Win
8.98%
Average Loss
-3.73%
Compounding Annual Return
4.176%
Drawdown
27.700%
Expectancy
1.132
Net Profit
163.551%
Sharpe Ratio
0.392
Probabilistic Sharpe Ratio
0.019%
Loss Rate
38%
Win Rate
62%
Profit-Loss Ratio
2.41
Alpha
0.017
Beta
0.246
Annual Standard Deviation
0.082
Annual Variance
0.007
Information Ratio
-0.198
Tracking Error
0.141
Treynor Ratio
0.131
Total Fees
$360.94
Estimated Strategy Capacity
$1100000000.00
Lowest Capacity Asset
SPY R735QTJ8XC9X
Portfolio Turnover
0.52%
|
# https://quantpedia.com/strategies/january-barometer/
#
# Invest in the equity market in each January. Stay invested in equity markets (via ETF, fund, or futures) only if January return is positive; otherwise, switch investments to T-Bills.
#
# QC implementation changes:
# - T-bill is replaced by iShares 1-3 Year Treasury Bond ETF.
from AlgorithmImports import *
class JanuaryBarometer(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2000, 1, 1)
self.SetCash(100000)
leverage:int = 5
data:Equity = self.AddEquity("SPY", Resolution.Daily)
data.SetLeverage(leverage)
self.market:Symbol = data.Symbol
data:Equity = self.AddEquity("SHY", Resolution.Daily)
data.SetLeverage(leverage)
self.bond:Symbol = data.Symbol
self.max_missing_days:int = 5
self.start_price:float|None = None
self.recent_month:int = -1
def OnData(self, data):
if self.recent_month == self.Time.month:
return
self.recent_month = self.Time.month
if self.Securities[self.market].GetLastData() and self.Securities[self.bond].GetLastData():
if (self.Time.date() - self.Securities[self.market].GetLastData().Time.date()).days < 5 and (self.Time.date() - self.Securities[self.bond].GetLastData().Time.date()).days < self.max_missing_days:
if self.Time.month == 1:
self.Liquidate(self.bond)
self.SetHoldings(self.market, 1)
self.start_price = self.Securities[self.market].Price
if self.Time.month == 2 and self.start_price:
perf:float = self.Securities[self.market].Price / self.start_price - 1
if perf > 0:
self.SetHoldings(self.market, 1)
else:
self.start_price = None
self.Liquidate(self.market)
self.SetHoldings(self.bond, 1)
else:
self.Liquidate()
else:
self.Liquidate()