# 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 portfolio targets to CrunchDAO API once a week. ### ### ### ### class CrunchDAOSignalExportDemonstrationAlgorithm(QCAlgorithm): crunch_universe = [] def Initialize(self): self.SetStartDate(2023, 5, 22) self.SetEndDate(2023, 5, 26) self.SetCash(1_000_000) # Connect to CrunchDAO api_key = "" # Your CrunchDAO API key model = "" # The Id of your CrunchDAO model submission_name = "" # A name for the submission to distinguish it from your other submissions comment = "" # A comment for the submission self.SignalExport.AddSignalExportProviders(CrunchDAOSignalExport(api_key, model, submission_name, comment)) self.SetSecurityInitializer(BrokerageModelSecurityInitializer(self.BrokerageModel, FuncSecuritySeeder(self.GetLastKnownPrices))) # Add a custom data universe to read the CrunchDAO skeleton self.AddUniverse(CrunchDaoSkeleton, "CrunchDaoSkeleton", Resolution.Daily, self.select_symbols) # Create a Scheduled Event to submit signals every monday before the market opens self.week = -1 self.Schedule.On( self.DateRules.Every([DayOfWeek.Monday, DayOfWeek.Tuesday, DayOfWeek.Wednesday, DayOfWeek.Thursday, DayOfWeek.Friday]), self.TimeRules.At(13, 15, TimeZones.Utc), self.submit_signals) self.Settings.MinimumOrderMarginPortfolioPercentage = 0 self.SetWarmUp(timedelta(45)) def select_symbols(self, data: List[CrunchDaoSkeleton]) -> List[Symbol]: return [x.Symbol for x in data] def OnSecuritiesChanged(self, changes): for security in changes.RemovedSecurities: if security in self.crunch_universe: self.crunch_universe.remove(security) self.crunch_universe.extend(changes.AddedSecurities) def submit_signals(self): if self.IsWarmingUp: return # Submit signals once per week week_num = self.Time.isocalendar()[1] if self.week == week_num: return self.week = week_num symbols = [security.Symbol for security in self.crunch_universe if security.Price > 0] # Get historical price data # close_prices = self.History(symbols, 22, Resolution.Daily).close.unstack(0) # Create portfolio targets weight_by_symbol = {symbol: 1/len(symbols) for symbol in symbols} # Add your logic here targets = [PortfolioTarget(symbol, weight) for symbol, weight in weight_by_symbol.items()] # (Optional) Place trades self.SetHoldings(targets) # Send signals to CrunchDAO success = self.SignalExport.SetTargetPortfolio(targets) if not success: self.Debug(f"Couldn't send targets at {self.Time}") class CrunchDaoSkeleton(PythonData): def GetSource(self, config, date, isLive): return SubscriptionDataSource("https://tournament.crunchdao.com/data/skeleton.csv", SubscriptionTransportMedium.RemoteFile) def Reader(self, config, line, date, isLive): if not line[0].isdigit(): return None skeleton = CrunchDaoSkeleton() skeleton.Symbol = config.Symbol try: csv = line.split(',') skeleton.EndTime = (datetime.strptime(csv[0], "%Y-%m-%d")).date() skeleton.Symbol = Symbol(SecurityIdentifier.GenerateEquity(csv[1], Market.USA, mappingResolveDate=skeleton.Time), csv[1]) skeleton["Ticker"] = csv[1] except ValueError: # Do nothing return None return skeleton