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README.md

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@@ -3,22 +3,26 @@ This package allows you to access several alternative data sources which are upd
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- Trading by US congressmen
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- Corporate Lobbying
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- Government Contracts
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- Insider Transactions
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- Hedge Fund Moves
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- Executive Compensation
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- Corporate Election Donations
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- Patents
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- Off-exchange short volume
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- Companies' Wikipedia page views
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- Discussion on Reddit's r/wallstreetbets
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- Discussion on Reddit's r/SPACs
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- Companies' Twitter followings
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- Flights by corporate private jets
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- Political Beta
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- Insider Transactions
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This data can be used for backtesting and implementing trading strategies.
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You can find full documentation on the Quiver Quantitative API [here](https://api.quiverquant.com/docs/).
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### Receiving API Token
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You can sign up for a Quiver API token [here](https://api.quiverquant.com).
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The pricing starts at $10/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover.
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The pricing starts at $30/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover.
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## Getting Started
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#### Prerequisites
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#Replace <TOKEN> with your token
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quiver = quiverquant.quiver("<TOKEN>")
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#Get data on WallStreetBets discussion
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dfWSB = quiver.wallstreetbets()
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#Get data on WallStreetBets discussion of GameStop
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dfWSB_GameStop = quiver.wallstreetbets("GME")
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#Get the most recent stock news (across all tickers)
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dfNews = quiver.news()
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#Get the most recent Oracle stock news
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dfNews_oracle = quiver.news(ticker="ORCL")
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#Get recent trades by members of U.S. Congress
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dfCongress = quiver.congress_trading()
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#Get trades made by U.S. Senator Richard Burr
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dfCongress_Burr = quiver.congress_trading("Richard Burr", politician=True)
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#Get data on recent insider transactions
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dfInsiders = quiver.insiders()
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#Get data on recent insider transactions by Tesla insiders
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dfInsiders_Tesla = quiver.insiders("TSLA")
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#Get data on recent hedge fund moves in Amazon
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df13F_Amazon = quiver.sec13FChanges(ticker="AMZN")
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#Get data on holdings in Situational Awareness' portfolio
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df13F_fund = quiver.sec13F(owner="Situational Awareness LP")
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#Get data on the top Walmart shareholders
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dfShareholders_Walmart = quiver.top_shareholders(ticker="WMT")
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#Get data on executive compensation at Nvidia
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dfCompensation_Nvidia = quiver.executive_compensation(ticker='NVDA')
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#Get data on election donations by Chevron
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dfDonations_Chevron = quiver.corporate_donors(ticker="CVX")
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#Get recent corporate lobbying
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dfLobbying = quiver.lobbying()
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#Get data on Wikipedia page views of Microsoft
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dfWiki_Microsoft = quiver.wikipedia("MSFT")
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#Get data on companies' Twitter following
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dfTwitter = quiver.twitter()
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#Get data on GE's Twitter following
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dfTwitter_GE = quiver.twitter("GE")
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#Get data on r/SPACs discussion
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dfSPACs = quiver.spacs()
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#Get data on r/SPACs discussion of CCIV
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dfSPACs_CCIV = quiver.spacs("CCIV")
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#Get data on recent corporate private jet flights
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dfFlights = quiver.flights()
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#Get data on private jet flights by Target
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dfFlights_Target = quiver.flights("TGT")
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#Get data on patents by Apple
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dfPatents_Apple = quiver.patents("AAPL")
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#Get data on recent insider transactions
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dfInsiders = quiver.insiders()
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#Get data on recent insider transactions by Tesla insiders
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dfInsiders_Tesla = quiver.insiders("TSLA")
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```
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