Overall Statistics |
Total Trades 2 Average Win 0% Average Loss 0% Compounding Annual Return 0.333% Drawdown 0.800% Expectancy 0 Net Profit 0.110% Sharpe Ratio 0.242 Probabilistic Sharpe Ratio 31.677% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.014 Beta 0.033 Annual Standard Deviation 0.012 Annual Variance 0 Information Ratio -4.646 Tracking Error 0.106 Treynor Ratio 0.085 Total Fees $23.91 Estimated Strategy Capacity $10000000.00 |
from QuantConnect.Data.Custom.SmartInsider import * class SmartInsiderAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2019, 5, 1) self.SetCash(1000000) self.AddUniverseSelection(CoarseFundamentalUniverseSelectionModel(self.CoarseUniverse)) # # Request underlying equity data. # ibm = self.AddEquity("IBM", Resolution.Minute).Symbol # # Add Smart Insider stock buyback transaction data for the underlying IBM asset # si = self.AddData(SmartInsiderTransaction, ibm).Symbol # # Request 60 days of history with the SmartInsiderTransaction IBM Custom Data Symbol # history = self.History(SmartInsiderTransaction, si, 60, Resolution.Daily) # Count the number of items we get from our history request # self.Debug(f"We got {len(history)} items from our history request") def CoarseUniverse(self, coarse): symbols = [i.Symbol for i in coarse if i.HasFundamentalData and i.DollarVolume > 50000000][:20] for symbol in symbols: self.AddData(SmartInsiderTransaction, symbol) return symbols def OnData(self, data): # Get all SmartInsider data available transactions = data.Get(SmartInsiderTransaction) # Loop over all the insider transactions for transaction in transactions.Values: if transaction.VolumePercentage is None or transaction.EventType is None: continue # Using the SmartInsider transaction information, buy when company does a stock buyback if transaction.EventType == SmartInsiderEventType.Transaction and transaction.BuybackPercentage > 0.01: self.SetHoldings(transaction.Symbol.Underlying, transaction.VolumePercentage / 100) # self.SetHoldings(transaction.Symbol.Underlying, 0.10) def OnSecuritiesChanged(self, changes): for r in [i for i in changes.RemovedSecurities if i.Symbol.SecurityType == SecurityType.Equity]: # If removed from the universe, liquidate and remove the custom data from the algorithm self.Liquidate(r.Symbol) self.RemoveSecurity(Symbol.CreateBase(SmartInsiderTransaction, r.Symbol, Market.USA))