Overall Statistics |
Total Trades 4 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 0 Tracking Error 0 Treynor Ratio 0 Total Fees $4.00 Estimated Strategy Capacity $430000.00 |
from QuantConnect.Securities.Option import * class LogicalFluorescentYellowBeaver(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 9) # Set Start Date self.SetEndDate(2021, 3, 10) self.SetCash(100000) # Set Strategy Cash equity = self.AddEquity("TSLA", Resolution.Minute) option = self.AddOption(equity.Symbol, Resolution.Minute) option.SetFilter(-1, 1, timedelta(1), timedelta(60)) self.canonical_symbol = option.Symbol self.option_strategy = None self.order_tickets = [] def OnData(self, data): if self.option_strategy is not None: # Calculate unrealized profit unrealized_profit = sum([self.Portfolio[ticket.Symbol].UnrealizedProfit for ticket in self.order_tickets]) # Determine expiry expiry = min([self.Securities[ticket.Symbol].Expiry for ticket in self.order_tickets]) self.Quit(f"Unrealized profit: {unrealized_profit}; Expiry: {expiry}") for i in data.OptionChains: if i.Key == self.canonical_symbol: contracts = [c for c in i.Value] strikes = [contract.Strike for contract in contracts] expiry = min([contract.Expiry for contract in contracts]) self.option_strategy = OptionStrategies.BearCallSpread(self.canonical_symbol, min(strikes), max(strikes), expiry) self.order_tickets = self.Order(self.option_strategy, 1)