| 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))