Quiver Quantitative Alternative Data
This package allows you to access several alternative data sources which are updated daily and mapped to tickers. These include:
- Trading by US congressmen
- Corporate Lobbying
- Government Contracts
- Companies' Wikipedia page views
- Discussion on Reddit's r/wallstreetbets
- Discussion on Reddit's r/SPACs
- Companies' Twitter followings
- Flights by corporate private jets
- Political Beta
This data can be used for backtesting and implementing trading strategies.
Receiving API Token
You can sign up for a Quiver API token here.
The pricing starts at $10/month, please e-mail me if that is an issue and I may be able to help cover.
Getting Started
Prerequisites
- Python version 3 installed locally
- Pip installed locally
Installation
The package can easily be installed in your terminal by entering
pip install quiverquant
Usage
#Import the package
import quiverquant
#Connect to the API using your token
#Replace <TOKEN> with your token
quiver = quiverquant.quiver("<TOKEN>")
#Get data on WallStreetBets discussion
dfWSB = quiver.wallstreetbets()
#Get recent trades by members of U.S. Congress
dfCongress = quiver.congress_trading()
#Get trades of a Tesla by members of congress
dfCongress_Tesla = quiver.congress_trading("TSLA")
#Get trades made by U.S. Senator Richard Burr
dfCongress_Burr = quiver.congress_trading("Richard Burr", politician=True)
#Get data on WallStreetBets discussion of GameStop
dfWSB_GameStop = quiver.wallstreetbets("GME")
#Get recent corporate lobbying
dfLobbying = quiver.lobbying()
#Get corporate lobbying by Apple
dfLobbying_Apple = quiver.lobbying("AAPL")
#Get data on government contracts
dfContracts = quiver.gov_contracts()
#Get data on government contracts to Lockheed Martin
dfContracts_Lockheed = quiver.gov_contracts("LMT")
#Get data on Wikipedia page views
dfWiki = quiver.wikipedia()
#Get data on Wikipedia page views of Microsoft
dfWiki_Microsoft = quiver.wikipedia("MSFT")
#Get data on companies' Twitter following
dfTwitter = quiver.twitter()
#Get data on GE's Twitter following
dfTwitter_GE = quiver.twitter("GE")
#Get data on r/SPACs discussion
dfSPACs = quiver.spacs()
#Get data on r/SPACs discussion of CCIV
dfSPACs_CCIV = quiver.spacs("CCIV")
#Get data on recent corporate private jet flights
dfFlights = quiver.flights()
#Get data on private jet flights by Target
dfFlights_Target = quiver.flights("TGT")
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