| Overall Statistics |
|
Total Trades 114 Average Win 0.29% Average Loss 0% Compounding Annual Return 17.701% Drawdown 41.500% Expectancy 0 Net Profit 40.256% Sharpe Ratio 0.736 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.34 Beta -7.381 Annual Standard Deviation 0.265 Annual Variance 0.07 Information Ratio 0.662 Tracking Error 0.265 Treynor Ratio -0.026 Total Fees $150.00 |
# limitations under the License.
from datetime import timedelta
class CoveredCallOptionsAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2017, 1, 1)
self.SetEndDate(2019, 1, 28)
self.SetCash(1000000)
self.tickers = ["AAPL","IBM","CAT","BA","INTC","NVDA"]
for ticker in self.tickers:
equity = self.AddEquity(ticker, Resolution.Minute)
equity.SetDataNormalizationMode(DataNormalizationMode.Raw)
# Initialize the call contract
self.put = str()
def OnData(self,slice):
for underlying in self.tickers:
self.underlying = underlying
#if not self.Portfolio[self.underlying].Invested:
#self.SetHoldings(self.underlying, 0.05) # long the underlying stock
if not (self.Securities.ContainsKey(self.put)):
self.put = self.AddContract(slice) # Add the call option contract (subscribe the contract data)
if self.Securities.ContainsKey(self.put) and not self.Portfolio[self.put].Invested:
self.Sell(self.put, 10) # short the call option
self.put = str()
def AddContract(self,slice):
filtered_contracts = self.InitialFilter(-3, 3, 0, 30)
if len(filtered_contracts) == 0: return str()
else:
put = [x for x in filtered_contracts if x.ID.OptionRight == OptionRight.Put]
# sorted the contracts according to their expiration dates and choose the ATM options
contracts = sorted(sorted(put, key = lambda x: abs(self.Securities[self.underlying].Price- x.ID.StrikePrice)),
key = lambda x: x.ID.Date, reverse=True)
if len(contracts) > 0:
self.AddOptionContract(contracts[0], Resolution.Minute)
return contracts[0]
else:
return str()
def InitialFilter(self, min_strike_rank, max_strike_rank, min_expiry, max_expiry):
''' This method is an initial filter of option contracts
according to the range of strike price and the expiration date '''
contracts = self.OptionChainProvider.GetOptionContractList(self.underlying, self.Time.date())
if len(contracts) == 0 : return []
# fitler the contracts based on the expiry range
contract_list = [i for i in contracts if min_expiry < (i.ID.Date.date() - self.Time.date()).days < max_expiry]
# find the strike price of ATM option
atm_strike = sorted(contract_list,
key = lambda x: abs(x.ID.StrikePrice - self.Securities[self.underlying].Price))[0].ID.StrikePrice
strike_list = sorted(set([i.ID.StrikePrice for i in contract_list]))
# find the index of ATM strike in the sorted strike list
atm_strike_rank = strike_list.index(atm_strike)
try:
strikes = strike_list[(atm_strike_rank + min_strike_rank):(atm_strike_rank + max_strike_rank)]
except:
strikes = strike_list
filtered_contracts = [i for i in contract_list if i.ID.StrikePrice in strikes]
return filtered_contracts
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))