| Overall Statistics |
|
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -61.089 Tracking Error 0.777 Treynor Ratio 0 Total Fees $0.00 |
from datetime import timedelta
class SupportandResistance (QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 11, 3)
self.SetEndDate(2020, 12, 3)
self.SetCash(600000)
equity = self.AddEquity("AAL", Resolution.Minute)
option = self.AddOption("AAL", Resolution.Minute)
self.symbol = option.Symbol
# set our strike/expiry filter for this option chain
#option.SetFilter(1, 2, timedelta(0), timedelta(30))
option.SetFilter(lambda universe: universe.IncludeWeeklys().Strikes(1, 2).Expiration(timedelta(0), timedelta(360)))
# use the underlying equity GOOG as the benchmark
self.SetBenchmark(equity.Symbol)
self.Schedule.On(self.DateRules.EveryDay(self.symbol), \
self.TimeRules.AfterMarketOpen(self.symbol, 30), \
Action(self.EveryMarketOpen))
def OnData(self,slice):
self.optionchain = slice.OptionChains
for i in slice.OptionChains:
if i.Key != self.symbol: continue
chains = i.Value
contract_list = [x for x in chains]
# if there is no contracts in this optionchain, pass the instance
if (slice.OptionChains.Count == 0) or (len(contract_list) == 0):
return
def EveryMarketOpen(self):
if not self.Portfolio.Invested:
for i in self.optionchain:
if i.Key != self.symbol: continue
chain = i.Value
expiry = sorted(chain,key = lambda x: x.Expiry, reverse=True)[0].Expiry
call = [i for i in chain if i.Expiry == expiry and i.Right == 0]
call_contracts = sorted(call,key = lambda x: x.Strike)
if len(call_contracts) == 0: continue
self.call_low = call_contracts[0]
self.lowexpiry = call_contracts[0].Expiry
self.lowstrike = call_contracts[0].Strike
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))