@@ -3,22 +3,26 @@ This package allows you to access several alternative data sources which are upd
33- Trading by US congressmen
44- Corporate Lobbying
55- Government Contracts
6+ - Insider Transactions
7+ - Hedge Fund Moves
8+ - Executive Compensation
9+ - Corporate Election Donations
610- Patents
711- Off-exchange short volume
812- Companies' Wikipedia page views
913- Discussion on Reddit's r/wallstreetbets
10- - Discussion on Reddit's r/SPACs
1114- Companies' Twitter followings
1215- Flights by corporate private jets
13- - Political Beta
14- - Insider Transactions
16+
1517
1618This data can be used for backtesting and implementing trading strategies.
1719
20+ You can find full documentation on the Quiver Quantitative API [ here] ( https://api.quiverquant.com/docs/ ) .
21+
1822### Receiving API Token
1923You can sign up for a Quiver API token [ here] ( https://api.quiverquant.com ) .
2024
21- 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.
25+ 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.
2226
2327## Getting Started
2428#### Prerequisites
@@ -40,11 +44,16 @@ import quiverquant
4044# Replace <TOKEN> with your token
4145quiver = quiverquant.quiver(" <TOKEN>" )
4246
43- # Get data on WallStreetBets discussion
44- dfWSB = quiver.wallstreetbets()
4547
46- # Get data on WallStreetBets discussion of GameStop
47- dfWSB_GameStop = quiver.wallstreetbets(" GME" )
48+
49+
50+ # Get the most recent stock news (across all tickers)
51+ dfNews = quiver.news()
52+
53+
54+ # Get the most recent Oracle stock news
55+ dfNews_oracle = quiver.news(ticker = " ORCL" )
56+
4857
4958# Get recent trades by members of U.S. Congress
5059dfCongress = quiver.congress_trading()
@@ -55,6 +64,30 @@ dfCongress_Tesla = quiver.congress_trading("TSLA")
5564# Get trades made by U.S. Senator Richard Burr
5665dfCongress_Burr = quiver.congress_trading(" Richard Burr" , politician = True )
5766
67+ # Get data on recent insider transactions
68+ dfInsiders = quiver.insiders()
69+
70+ # Get data on recent insider transactions by Tesla insiders
71+ dfInsiders_Tesla = quiver.insiders(" TSLA" )
72+
73+
74+ # Get data on recent hedge fund moves in Amazon
75+ df13F_Amazon = quiver.sec13FChanges(ticker = " AMZN" )
76+
77+ # Get data on holdings in Situational Awareness' portfolio
78+ df13F_fund = quiver.sec13F(owner = " Situational Awareness LP" )
79+
80+
81+ # Get data on the top Walmart shareholders
82+ dfShareholders_Walmart = quiver.top_shareholders(ticker = " WMT" )
83+
84+ # Get data on executive compensation at Nvidia
85+ dfCompensation_Nvidia = quiver.executive_compensation(ticker = ' NVDA' )
86+
87+ # Get data on election donations by Chevron
88+ dfDonations_Chevron = quiver.corporate_donors(ticker = " CVX" )
89+
90+
5891# Get recent corporate lobbying
5992dfLobbying = quiver.lobbying()
6093
@@ -79,32 +112,11 @@ dfWiki = quiver.wikipedia()
79112# Get data on Wikipedia page views of Microsoft
80113dfWiki_Microsoft = quiver.wikipedia(" MSFT" )
81114
82- # Get data on companies' Twitter following
83- dfTwitter = quiver.twitter()
84-
85- # Get data on GE's Twitter following
86- dfTwitter_GE = quiver.twitter(" GE" )
87-
88- # Get data on r/SPACs discussion
89- dfSPACs = quiver.spacs()
90-
91- # Get data on r/SPACs discussion of CCIV
92- dfSPACs_CCIV = quiver.spacs(" CCIV" )
93-
94- # Get data on recent corporate private jet flights
95- dfFlights = quiver.flights()
96-
97- # Get data on private jet flights by Target
98- dfFlights_Target = quiver.flights(" TGT" )
99115
100116# Get data on patents by Apple
101117dfPatents_Apple = quiver.patents(" AAPL" )
102118
103- # Get data on recent insider transactions
104- dfInsiders = quiver.insiders()
105119
106- # Get data on recent insider transactions by Tesla insiders
107- dfInsiders_Tesla = quiver.insiders(" TSLA" )
108120```
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