Overall Statistics
Total Trades
2
Average Win
0%
Average Loss
0%
Compounding Annual Return
-10.191%
Drawdown
0.300%
Expectancy
0
Net Profit
-0.078%
Sharpe Ratio
-1.946
Probabilistic Sharpe Ratio
0%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0.286
Beta
0.543
Annual Standard Deviation
0.048
Annual Variance
0.002
Information Ratio
14.955
Tracking Error
0.041
Treynor Ratio
-0.173
Total Fees
$2.00
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from datetime import timedelta
class CoveredCallAlgorithm(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2014, 1, 1)
        self.SetEndDate(2014, 1, 3)
        self.SetCash(100000)
        self.equity = self.AddEquity("IBM", Resolution.Minute)
        option = self.AddOption("IBM", Resolution.Minute)
        self.symbol = option.Symbol

        # set strike/expiry filter for this option chain
        option.SetFilter(-3, +3, timedelta(0), timedelta(30))
        
        self.show = True

        
    def OnData(self,slice):
        if not self.Portfolio["IBM"].Invested:
            self.MarketOrder("IBM",100)     # buy 100 shares of underlying stocks
        
        option_invested = [x.Key for x in self.Portfolio if x.Value.Invested and x.Value.Type==SecurityType.Option]
        if len(option_invested) < 1:
            self.TradeOptions(slice) 
 
    def TradeOptions(self,slice):
        for i in slice.OptionChains:
            if i.Key != self.symbol: continue
            chain = i.Value
            
            if self.show:
                self.show = False
                self.Log(f"{chain.Contracts.Count}")
                
                contracts = self.OptionChainProvider.GetOptionContractList(self.equity.Symbol, slice.Time)
                self.Log(len(contracts))
                
            # filter the call options contracts
            call = [x for x in chain if x.Right == OptionRight.Call] 
            # sorted the contracts according to their expiration dates and choose the ATM options
            contracts = sorted(sorted(call, key = lambda x: abs(chain.Underlying.Price - x.Strike)), 
                                            key = lambda x: x.Expiry, reverse=True)
            if len(contracts) == 0: return    
            self.call = contracts[0].Symbol
            # short the call options
            self.MarketOrder(self.call, 1)