To-The-Moon

Historical comment data from r/wallstreetbets was gathered, and a pre-trained NLP sentiment model was applied to the comments to get an idea of the subreddit's sentimentality towards the top trending stocks.

https://wsb-sentiment-htn.herokuapp.com/

https://docs.google.com/presentation/d/14Z45MaVQkReumEevZcGd-JpnlOOxIraQP2BaJu7RB8k/edit#slide=id.g35f391192_04

Registered domain names: moonbound.space, allthewayto.space

NLP Sentiment Analyzer Used: Vader (https://pypi.org/project/vaderSentiment/)

"VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media."

Built With

• flask
• natural-language-processing
• pushshift
• python
• reddit
• yahoo-finance