| Overall Statistics |
|
Total Orders
586
Average Win
0.84%
Average Loss
-0.83%
Compounding Annual Return
1.364%
Drawdown
12.100%
Expectancy
0.153
Start Equity
100000
End Equity
141161.86
Net Profit
41.162%
Sharpe Ratio
-0.344
Sortino Ratio
-0.088
Probabilistic Sharpe Ratio
0.003%
Loss Rate
43%
Win Rate
57%
Profit-Loss Ratio
1.01
Alpha
-0.015
Beta
0.054
Annual Standard Deviation
0.037
Annual Variance
0.001
Information Ratio
-0.353
Tracking Error
0.155
Treynor Ratio
-0.236
Total Fees
$2850.02
Estimated Strategy Capacity
$410000000.00
Lowest Capacity Asset
SPY R735QTJ8XC9X
Portfolio Turnover
6.29%
|
# https://quantpedia.com/strategies/payday-anomaly/
#
# The investment universe consists of the S&P500 index. Simply, buy and hold the index during the 16th day in the month during each month of the year.
from dateutil.relativedelta import relativedelta
from AlgorithmImports import *
class PayDayAnomaly(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2000, 1, 1)
self.SetCash(100000)
self.market: Symbol = self.AddEquity('SPY', Resolution.Minute).Symbol
self.liquidate_next_day: bool = False
self.Schedule.On(self.DateRules.EveryDay(self.market), self.TimeRules.BeforeMarketClose(self.market, 1), self.Purchase)
def Purchase(self) -> None:
alg_time = self.Time
paydate = self.PaydayDate(alg_time)
if alg_time.date() == paydate:
self.SetHoldings(self.market, 1)
self.liquidate_next_day = True
if self.liquidate_next_day:
self.liquidate_next_day = False
return
if self.Portfolio[self.market].IsLong:
self.Liquidate(self.market)
def PaydayDate(self, date_time):
payday = date(date_time.year, date_time.month, 1) + relativedelta(day=15)
if payday.weekday() == 5: # Is saturday.
payday = payday - timedelta(days=1)
elif payday.weekday() == 6: # Is sunday.
payday = payday - timedelta(days=2)
return payday