Skip to content

Determines the sentiment (bullish, bearish) of stocks on a watchlist using Twitter tweets

License

Notifications You must be signed in to change notification settings

markusschaeffer/StockSentimentAnalyser

Repository files navigation

StockSentimentAnalyser

Uses real-time Twitter tweets to determine the sentiment (bullish, bearish) of companies on a watchlist.

A machine learning model is used to classify the tweets accordingly. The training data was collected from Stocktwits.com over a time horizon of several months.

Architecture

Architecture

About

Determines the sentiment (bullish, bearish) of stocks on a watchlist using Twitter tweets

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published