Overall Statistics
Total Trades
5
Average Win
0.33%
Average Loss
0%
Compounding Annual Return
-0.211%
Drawdown
2.100%
Expectancy
-0.5
Net Profit
-0.034%
Sharpe Ratio
-0.04
Probabilistic Sharpe Ratio
31.061%
Loss Rate
50%
Win Rate
50%
Profit-Loss Ratio
0
Alpha
-0.005
Beta
-0.191
Annual Standard Deviation
0.028
Annual Variance
0.001
Information Ratio
0.133
Tracking Error
0.162
Treynor Ratio
0.006
Total Fees
$3.00
Estimated Strategy Capacity
$110000.00
Lowest Capacity Asset
IBM R735QTJ8XC9X
Portfolio Turnover
0.63%
 
#region imports
from AlgorithmImports import *
#endregion

class NakedCallAlgorithm(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2014, 1, 1)
        self.SetEndDate(2014, 3, 1)
        self.SetCash(100000)

        option = self.AddOption("IBM")
        self.symbol = option.Symbol

        option.SetFilter(-3, 3, 0, 31)

        self.call = None

        # use the underlying equity as the benchmark
        self.SetBenchmark(self.symbol.Underlying)

    def OnData(self, slice):

        if self.call and self.Portfolio[self.call].Invested:
            return

        chain = slice.OptionChains.get(self.symbol)
        if not chain:
            return

        # Find ATM call with the farthest expiry
        expiry = max([x.Expiry for x in chain])
        call_contracts = sorted([x for x in chain
            if x.Right == OptionRight.Call and x.Expiry == expiry],
            key=lambda x: abs(chain.Underlying.Price - x.Strike))

        if not call_contracts:
            return

        atm_call = call_contracts[0]

        naked_call = OptionStrategies.NakedCall(self.symbol, atm_call.Strike, expiry)
        self.Buy(naked_call, 1)

        self.call = atm_call.Symbol