What inspired your project?
Recently, a company targeted Gamestop stocks and decided to sell as much as they could, but people in reddit decided to support GameStop and a huge part of the market changed. Our bot is inspired by how a discussion board can make such a huge impact on the market, and the bot hopes to predict future events such as this.
What problem does your project solve?
Our project aims to help novice stock traders understand the stock market and explore current popular stocks by utilizing Reddit’s platform (more specifically, the WallStreetBets subreddit).
How does your project solve the problem?
We created a stock bot as an educational tool for traders. This bot provides a list of stock tickers with importance and polarity scores to indicate how popular a stock is and how positive or negative a trending stock might be.
What technologies did your project use? Include programming languages, libraries, and any external tools.
Python, Reddit, Praw, Vader, NLTK, Pandas, Numpy
What challenges did you run into?
One of the prominent challenges we faced as we read in data regarded the content of each post. At first, we used Stemming in order to organize our words and their respective wordcount, but a consistent issue was that these words would be misspelt. Therefore, we switched to Lemmatization which organized the words more precisely, as well as considered various tenses and different forms words could take.
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