| Overall Statistics |
|
Total Trades
565
Average Win
1.76%
Average Loss
-1.75%
Compounding Annual Return
3.089%
Drawdown
24.600%
Expectancy
0.161
Net Profit
104.989%
Sharpe Ratio
0.364
Probabilistic Sharpe Ratio
0.036%
Loss Rate
42%
Win Rate
58%
Profit-Loss Ratio
1.01
Alpha
0.03
Beta
-0.013
Annual Standard Deviation
0.078
Annual Variance
0.006
Information Ratio
-0.296
Tracking Error
0.195
Treynor Ratio
-2.201
Total Fees
$3513.93
Estimated Strategy Capacity
$1100000000.00
Lowest Capacity Asset
SPY R735QTJ8XC9X
|
# https://quantpedia.com/strategies/turn-of-the-month-in-equity-indexes/
#
# Buy SPY ETF 1 day (some papers say 4 days) before the end of the month and sell the 3rd trading day of the new month at the close.
class TurnoftheMonthinEquityIndexes(QCAlgorithm):
def Initialize(self):
self.SetStartDate(1998, 1, 1)
self.SetCash(100000)
self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.sell_flag = False
self.days = 0
self.Schedule.On(self.DateRules.MonthStart(self.symbol), self.TimeRules.AfterMarketOpen(self.symbol), self.Rebalance)
self.Schedule.On(self.DateRules.MonthEnd(self.symbol), self.TimeRules.AfterMarketOpen(self.symbol), self.Purchase)
def Purchase(self):
self.SetHoldings(self.symbol, 1)
def Rebalance(self):
self.sell_flag = True
def OnData(self, data):
if self.sell_flag:
self.days += 1
if self.days == 3:
self.Liquidate(self.symbol)
self.sell_flag = False
self.days = 0