Skip to content

mmmarchetti/extract_stock_sentiment

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Extract Stock Sentiment from News Headlines

It used to take days for financial news to spread via radio, newspapers, and word of mouth. Now, in the age of the internet, it takes seconds. Did you know news articles are automatically being generated from figures and earnings call streams? Hedge funds and independent traders are using data science to process this wealth of information in the quest for profit.

In this notebook, we will generate investing insight by applying sentiment analysis on financial news headlines from FINVIZ.com. Using this natural language processing technique, we can understand the emotion behind the headlines and predict whether the market feels good or bad about a stock. It would then be possible to make educated guesses on how certain stocks will perform and trade accordingly.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published