Overall Statistics |
Total Trades 375 Average Win 0.05% Average Loss 0% Compounding Annual Return 7.059% Drawdown 0.300% Expectancy 0 Net Profit 7.956% Sharpe Ratio 14.353 Probabilistic Sharpe Ratio 100% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0.003 Annual Variance 0 Information Ratio 14.353 Tracking Error 0.003 Treynor Ratio 0 Total Fees $2594.50 Estimated Strategy Capacity $0 Lowest Capacity Asset SPY 32549215ADBVQ|SPY R735QTJ8XC9X |
from AlgorithmImports import * index_names = ["SPX", "VIX", "NDX"] option_names = ["SPXW", "VIXW", "NQX"] index = 0 pos_sizes = [0.0006, 0.005, 0.01, 0.025, 0.05, 0.1, 0.2] # 0-6 stop_losses = [0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 0] # 0-6 pos_size = 0 stop_loss = -1 option_type = 0 # 0 - both, 1 - put, 2 - call trade_start = (11, 5, 0) trade_end = (0, 0, 0) start_date = (2022, 1, 1) end_date = (2023, 2, 14) cash = 100_000 take_profit = 0 class SPXW(QCAlgorithm): def Initialize(self): self.Log([f"{x}" for x in self.GetParameters()]) global pos_size, stop_loss, index, option_type pos_size = pos_sizes[int(self.GetParameter("pos_size") or pos_size)] stop_loss = stop_losses[int(self.GetParameter("stop_loss") or stop_loss)] index = int(self.GetParameter("index") or index) option_type = int(self.GetParameter("option_type") or option_type) self.SetBrokerageModel(InteractiveBrokersBrokerageModel(AccountType.Margin)) self.SetStartDate(*start_date) self.SetEndDate(*end_date) self.SetCash(cash) self.index_security = self.AddIndex(index_names[index], Resolution.Minute) self.index_security = self.AddEquity("SPY", Resolution.Minute) # weekly option SPX contracts # index_options = self.AddIndexOption(self.index_security.Symbol, option_names[index]) index_options = self.AddOption(self.index_security.Symbol, Resolution.Minute) # set our strike/expiry filter for this option chain index_options.SetFilter(lambda u: (u.Strikes(-25, 25) .Expiration(0, 0) .IncludeWeeklys())) self.option_symbol = index_options.Symbol self.ResetTrade() self.Schedule.On(self.DateRules.EveryDay(self.option_symbol), self.TimeRules.At(1, 0, 0), self.ResetTrade) self.Schedule.On(self.DateRules.EveryDay(self.option_symbol), self.TimeRules.At(*trade_start), self.StartTrade) self.Schedule.On(self.DateRules.EveryDay(self.option_symbol), self.TimeRules.At(*trade_end), self.StopTrade) # self.SetWarmUp(90, Resolution.Minute) if take_profit: self.AddRiskManagement(MaximumUnrealizedProfitPercentPerSecurity(take_profit)) def ResetTrade(self): self.trade = False self.day_low = 100000 self.day_high = 0 def StartTrade(self): self.trade = True def StopTrade(self): self.trade = False def OnData(self, slice): current_price = self.index_security.Price if current_price < self.day_low: self.day_low = current_price if current_price > self.day_high: self.day_high = current_price delta = 0.01 if not self.trade: return chain = slice.OptionChains.GetValue(self.option_symbol) if chain is None: return call = [x for x in chain if x.Right == OptionRight.Call] put = [x for x in chain if x.Right == OptionRight.Put] # we sort the contracts to find contract with the right delta put_contract = sorted(put, key=lambda x: abs(abs(x.Greeks.Delta) - delta)) call_contract = sorted(call, key=lambda x: abs(x.Greeks.Delta - delta)) # if found, trade it if option_type != 2: if len(put_contract) == 0: return else: # if current_price <= 1.001 * self.day_low: if current_price <= self.day_low: put_ = put_contract[0].Symbol self.SetHoldings(put_, -pos_size) # self.MarketOrder(put_, -1000 * pos_size) self.trade = False return if option_type != 1: if len(call_contract) == 0: return else: # if current_price >= 0.999 * self.day_high: if current_price >= self.day_high: call_ = call_contract[0].Symbol # self.MarketOrder(call_, -1000 * pos_size) self.SetHoldings(call_, -pos_size) self.trade = False