Metadata-Version: 2.1
Name: quiverquant
Version: 0.1.2
Summary: Quiver Quantitative Alternative Data
Home-page: https://github.com/Quiver-Quantitative/python-api
Author: Chris Kardatzke
Author-email: chris@quiverquant.com
License: UNKNOWN
Description: # Quiver Quantitative
        ### Receiving API Token
        You can sign up for a Quiver API token [here](https://api.quiverquant.com). 
        
        The cost is $10/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover.
        
        ### Connecting to Client
        After running the pip install shown above in your terminal, you can connect to the client in Python as shown below:
        ```python
        import quiverquant
        quiverClient = quiverquant.quiver("<API TOKEN>")
        ```
        with \<API TOKEN\> replaced with your unique token.
        
        ### Fetching data
        Using this client, you can access data on:
        - Trading by US congressmen *quiverClient.congress_trading()*
        - Corporate Lobbying *quiverClient.lobbying()*
        - Government Contracts *quiverClient.gov_contracts()*
        
        if you sign up for the Trader API plan, you can also access data on:
        - Companies' Wikipedia page views *quiverClient.wikipedia()*
        - Discussions on Reddit's /r/WallStreetBets *quiverClient.wallstreetbets()*
        
        Here is an example of how to get a Pandas dataframe of trades by US congressmen:
        ```python
        df = quiverClient.congress_trading()
        ```
        You can also fetch this data by ticker, as shown below:
        ```python
        dfAAPL = quiverClient.congress_trading("TSLA")
        ```
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
