Skip to content

This stock screener analyzes correlations between a company’s financial performance and its website, search, and foot traffic. It takes into account several alternative data sources to predict a company's future earnings by performing linear regressions on data from previous quarters. In addition, it performs sentiment analysis of news headlines…

AlexRomanenkoNorthwestern/FundamentalAnalysisStockScreener

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

62 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fundamental Analysis Stock Screener

This stock screener analyzes correlations between a company’s financial performance and its website performance, insider trends, and analyst projections. It takes into account several alternative data sources to predict a company's future earnings by performing linear regressions on data from previous quarters. In addition, it tracks insider buys, tweets, and relative valuation. Stock analysis in displayed in one comprehensive dashboard.

  • In order to use the dashboard, insert your finnhub api key in the General.py file. This Dashboard may not support certain tickers due to lack of API support at times. Your use of ideas, systems, and/or data provided by this dashboard are at your own risk and it is your sole responsibility to evaluate the accuracy, completeness, and usefulness of the information. There can be no gurantee regarding the accuracy of any data contained herein.

  • This algorithim may not currently support OTC companies or companies with negative EPS.

1

2

3

About

This stock screener analyzes correlations between a company’s financial performance and its website, search, and foot traffic. It takes into account several alternative data sources to predict a company's future earnings by performing linear regressions on data from previous quarters. In addition, it performs sentiment analysis of news headlines…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages