# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from AlgorithmImports import * ### ### This algorithm sends a list of portfolio targets from algorithm's Portfolio ### to Numerai API every time the ema indicators crosses between themselves. ### ### ### ### class NumeraiPortfolioSignalExportDemonstrationAlgorithm(QCAlgorithm): def Initialize(self): ''' Initialize the date and add all equity symbols present in list _symbols ''' self.SetStartDate(2013, 10, 7) #Set Start Date self.SetEndDate(2013, 10, 11) #Set End Date self.SetCash(100000) #Set Strategy Cash self.symbols = ["SPY", "AIG", "GOOGL", "AAPL", "AMZN", "TSLA", "NFLX", "INTC", "MSFT", "KO", "WMT", "IBM", "AMGN", "CAT"] # Numerai accepts minimum 10 signals for ticker in self.symbols: self.AddEquity(ticker) self.fast = self.EMA("SPY", 10) self.slow = self.EMA("SPY", 100) # Initialize these flags, to check when the ema indicators crosses between themselves self.emaFastIsNotSet = True; self.emaFastWasAbove = False; # Set Numerai signal export provider # Numerai Public ID: This value is provided by Numerai Signals in their main webpage once you've logged in # and created a API key. See (https://signals.numer.ai/account) self.numeraiPublicId = "" # Numerai Public ID: This value is provided by Numerai Signals in their main webpage once you've logged in # and created a API key. See (https://signals.numer.ai/account) self.numeraiSecretId = "" # Numerai Model ID: This value is provided by Numerai Signals in their main webpage once you've logged in # and created a model. See (https://signals.numer.ai/models) self.numeraiModelId = "" self.numeraiFilename = "" # Replace this values with your submission filename (Optional) self.SignalExport.AddSignalExportProviders(NumeraiSignalExport(self.numeraiPublicId, self.numeraiSecretId, self.numeraiModelId, self.numeraiFilename)) self.first_call = True self.SetWarmUp(100) def OnData(self, data): ''' Reduce the quantity of holdings for one security and increase the holdings to the another one when the EMA's indicators crosses between themselves, then send a signal to Numerai API ''' if self.IsWarmingUp: return # Place an order as soon as possible to send a signal. if self.first_call: self.SetHoldings("SPY", 0.1) self.SignalExport.SetTargetPortfolioFromPortfolio() self.first_call = False fast = self.fast.Current.Value slow = self.slow.Current.Value # Set the value of flag _emaFastWasAbove, to know when the ema indicators crosses between themselves # Additionally, set an initial holding quantity for each symbol. This is done because Numerai only # accept signals between 0 and 1 (exclusive) if self.emaFastIsNotSet == True: if fast > slow *1.001: self.emaFastWasAbove = True else: self.emaFastWasAbove = False self.emaFastIsNotSet = False; for symbol in self.symbols: self.SetHoldings(symbol, 0.05) # Check whether ema fast and ema slow crosses. If they do, set holdings to SPY # or reduce its holdings, and send signals to Numerai API from your Portfolio if fast > slow * 1.001 and (not self.emaFastWasAbove): self.SetHoldings("SPY", 0.1) self.SignalExport.SetTargetPortfolioFromPortfolio() elif fast < slow * 0.999 and (self.emaFastWasAbove): self.SetHoldings("SPY", 0.01) self.SignalExport.SetTargetPortfolioFromPortfolio()