# 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 clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Data import * from QuantConnect.Data.Custom.Quiver import * ### ### Quiver Quantitative is a provider of alternative data. ### This algorithm shows how to consume the 'QuiverWallStreetBets' ### class QuiverWallStreetBetsDataAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2020, 6, 1) self.SetCash(100000) aapl = self.AddEquity("AAPL", Resolution.Daily).Symbol quiverWSBSymbol = self.AddData(QuiverWallStreetBets, aapl).Symbol history = self.History(QuiverWallStreetBets, quiverWSBSymbol, 60, Resolution.Daily) self.Debug(f"We got {len(history)} items from our history request"); def OnData(self, data): points = data.Get(QuiverWallStreetBets) for point in points.Values: # Go long in the stock if it was mentioned more than 5 times in the WallStreetBets daily discussion if point.Mentions > 5: self.SetHoldings(point.Symbol.Underlying, 1) # Go short in the stock if it was mentioned less than 5 times in the WallStreetBets daily discussion if point.Mentions < 5: self.SetHoldings(point.Symbol.Underlying, -1)