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 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% |
from QuantConnect.Algorithm import QCAlgorithm from QuantConnect.Data.Custom import * from QuantConnect.Orders import * from QuantConnect.Securities.Option import OptionPriceModels from datetime import timedelta, datetime import csv import io class SPXWTradingAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2023, 11, 1) self.SetCash(100000) spx = self.AddIndex("SPX").Symbol option = self.AddIndexOption(spx, "SPXW") # SPXW is the target non-standard contract option.SetFilter(lambda universe: universe.IncludeWeeklys().Strikes(-2, 2).Expiration(timedelta(0), timedelta(2))) # Note: IncludeWeeklys and limit to 2 days self.symbol = option.Symbol option.PriceModel = OptionPriceModels.CrankNicolsonFD() option.EnableGreekApproximation = True self.Schedule.On(self.DateRules.EveryDay(self.symbol), self.TimeRules.Every(timedelta(seconds=30)), self.Trade) self.last_row = None # Log the last row during initialization self.Trade() if self.last_row is not None: self.Debug("Last row during initialization: " + str(self.last_row)) def Trade(self): csv_string = self.Download('https://docs.google.com/spreadsheets/d/1wwadCU8msu6FEUJt1ANoZS2qMO2MWiheARrdm7zaQlM/export?format=csv') csv_reader = csv.DictReader(io.StringIO(csv_string)) for i, order in enumerate(csv_reader): self.last_row = order if self.last_row is None: self.Debug("Last row is None") return # Convert the Unix timestamp from the Google Sheet to a datetime object trade_time = datetime.utcfromtimestamp(int(self.last_row['Trigger Time'])) # Only place the trade if the current time is after the trade time if self.Time >= trade_time: expiry = datetime.strptime(str(self.last_row['TWS Contract Date']), '%Y%m%d') optionchain = self.OptionChainProvider.GetOptionContractList(self.symbol, self.Time.date()) contracts = [i for i in optionchain if i.ID.Date.date() == expiry.date()] if len(contracts) < 1: self.Debug(f"Not enough option contracts for order: {self.last_row}") return contracts.sort(key=lambda x: abs(x.ID.StrikePrice - float(self.last_row['Strike 1']))) quantity = int(self.last_row['Order Quantity']) if self.Securities.ContainsKey(contracts[0]): contract = self.Securities[contracts[0]] legs = [] total_limit_price = 0 for i in range(1, 3): if self.last_row[f'Right {i}']: right = OptionRight.Call if self.last_row[f'Right {i}'] == 'C' else OptionRight.Put limit_price = (contract.AskPrice + contract.BidPrice) / 2 legs.append(Leg.Create(contracts[i-1], quantity, limit_price)) total_limit_price += limit_price self.Debug(f"Added leg: {contracts[i-1].Symbol.Value}, {right}, {quantity}") ticket = self.ComboLegLimitOrder(legs, total_limit_price) self.Debug(f"Symbol: {ticket.Symbol}; Quantity filled: {ticket.QuantityFilled}; Fill price: {ticket.AverageFillPrice}") def OnOrderEvent(self, orderEvent): if orderEvent.Status == OrderStatus.Filled: self.Debug("Order filled: " + str(orderEvent))