| 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 -3.17 Tracking Error 0.457 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
### 2020_12_17 Buffer v2
### ----------------------------------------------------------------------------
### Restructured code and now we do not subscribe to options data in Initialize
### but we search through the chain every time we roll to make the algo much faster
### ----------------------------------------------------------------------------
from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Securities.Option import *
class TestingIndexOptionsAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2019, 1, 1)
self.SetEndDate(2019, 1, 5)
self.SetCash(1000000)
# add data for underlying
underlying = self.AddIndex('VIX', Resolution.Minute)
underlying.SetDataNormalizationMode(DataNormalizationMode.Raw)
self.underlyingSymbol = underlying.Symbol
def OnData(self, data):
if self.Time.hour == 9 and self.Time.minute < 35:
# get all contracts available now
contracts = self.OptionChainProvider.GetOptionContractList(self.underlyingSymbol, self.Time.date())
if len(contracts) == 0:
self.Log('no contracts found in OptionChainProvider')
return
# get the relevant contracts using a range of expiry dates
#relevantContracts = [x for x in contracts if OptionSymbol.IsStandardContract(x)]
#self.Log(relevantContracts)