| Overall Statistics |
|
Total Trades 18 Average Win 24.12% Average Loss -5.81% Compounding Annual Return 113.712% Drawdown 9.900% Expectancy 0.546 Net Profit 30.155% Sharpe Ratio 5.231 Probabilistic Sharpe Ratio 89.719% Loss Rate 70% Win Rate 30% Profit-Loss Ratio 4.15 Alpha -0.132 Beta 1.041 Annual Standard Deviation 0.23 Annual Variance 0.053 Information Ratio -4.017 Tracking Error 0.02 Treynor Ratio 1.155 Total Fees $22.50 |
# https://quantpedia.com/Screener/Details/20
from datetime import timedelta
from decimal import Decimal
class BullCallSpreadAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 5, 1)
self.SetEndDate(2020, 9, 4)
self.SetCash(100000)
equity = self.AddEquity("QQQ", Resolution.Minute)
option = self.AddOption("QQQ", Resolution.Minute)
self.symbol = equity.Symbol
option.SetFilter(self.UniverseFunc)
self.SetBenchmark(equity.Symbol)
# self.delta50_call = None
# self.delta50_put = None
# self.delta25_put = None
def OnData(self,slice):
for i in slice.OptionChains:
chains = i.Value
if not self.Portfolio.Invested:
# divide option chains into call and put options
calls = list(filter(lambda x: x.Right == OptionRight.Call, chains))
puts = list(filter(lambda x: x.Right == OptionRight.Put, chains))
# if lists are empty return
if not calls or not puts: return
underlying_price = self.Securities[self.symbol].Price
expiries = [i.Expiry for i in puts]
#sell_delta50_call_expiry = [call if call.Expiry == self.delta50_call.Expiry for call in calls]
#sell_delta50_call = [call if call.Strike == self.delta50_call.Strike for call in sell_delta50_call_expiry]
#sell_delta50_put = [put if put.Expiry == self.delta50_put.Expiry if
#put.Strike == self.delta50_put.Strike for put in puts]
# determine expiration date nearly one month
expiry = min(expiries, key=lambda x: abs((x.date()-self.Time.date()).days-30))
strikes = [i.Strike for i in puts]
# determine at-the-money strike
strike = min(strikes, key=lambda x: abs(x-Decimal(0.50)*underlying_price))
# determine 15% out-of-the-money strike
otm_strike = min(strikes, key = lambda x:abs(x-Decimal(0.25)*underlying_price))
self.atm_call = [i for i in calls if i.Expiry == expiry and i.Strike == strike]
self.atm_put = [i for i in puts if i.Expiry == expiry and i.Strike == strike]
self.otm_put = [i for i in puts if i.Expiry == expiry and i.Strike == otm_strike]
#if (self.delta25_put.Expiry - self.Time).days <= 2:
if self.atm_call and self.atm_put and self.otm_put:
self.Debug("Underlying Price: " + str(underlying_price))
self.delta50_call = self.atm_call[0]
self.Debug("50 Delta Call: " + str(self.delta50_call.Strike))
self.delta50_put = self.atm_put[0]
self.Debug("50 Delta Put: " + str(self.delta50_put.Strike))
self.delta25_put = self.otm_put[0]
self.Debug("25 Delta Put: " + str(self.delta25_put.Strike))
# sell at-the-money straddle
self.Buy(self.delta50_call.Symbol, 5)
self.Buy(self.delta50_put.Symbol, 5)
# buy 25% out-of-the-money put
self.Sell(self.delta25_put.Symbol, 5)
if self.Portfolio.Invested:
# if (self.delta50_call.Expiry - self.Time).days <= 2:
# days = (self.delta50_call.Expiry-self.Time).days
# self.Debug(days)
self.Liquidate(self.symbol)
# self.delta50_call = None
# self.delta50_put = None
# self.delta25_put = None
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))
def UniverseFunc(self, universe):
return universe.IncludeWeeklys().Strikes(-40, 40).Expiration(timedelta(25), timedelta(35))