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 -0.891 Tracking Error 0.176 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
from QuantConnect.Securities.Option import OptionPriceModels from datetime import timedelta import math class Wheelinginthemoney(QCAlgorithm): def AddStocks(self,ticker): equity = self.AddEquity(ticker, self.resolution) #Adding self.Securities[ticker].SetDataNormalizationMode(DataNormalizationMode.Raw) return def Initialize(self): self.SetStartDate(2014, 6, 3) self.SetEndDate(2021, 6,3) self.SetCash(100000) self.resolution = Resolution.Minute self.stocks = ["BRK.B"] self.sell_options = True self.sell_down_mode = False self.SetBrokerageModel(BrokerageName.AlphaStreams) for ticker in self.stocks: self.AddStocks(ticker) #assigns the first stock to a variable so it can be used in the date time scheduler self.symbol = self.stocks[0] def trade(self): self.sell_options = True def OnData(self,slice): if self.sell_options == False or self.IsWarmingUp or self.IsMarketOpen(self.symbol) == False: return #in case there are open orders still, we want to cancel them contracts = self.OptionChainProvider.GetOptionContractList(self.stocks[0], self.Time) self.Debug(len(contracts)) if len(contracts) == 0: return self.MarketOrder(contracts[0], 1) def OnOrderEvent(self, orderEvent): if orderEvent.Status != "Canceled" : self.trade self.Debug(orderEvent)