Applying NLP to the internet's most prolific traders

In 2020 people are talking on the internet more than ever, and the chatter around investing is no exception. Internet trading forums like /r/wallstreetbets receive hundreds of thousands of comments every week and while many of these comments revolve around popular memes and figures, other comments offer new perspectives on how to value companies that experience explosive growth or scandal.

While some people may consider these internet sources as amateurish, otherwise "traditional" investors are beginning to appreciate the unique perspectives offered by these internet communities, as noted in Bloomberg: https://www.bloomberg.com/news/articles/2020-02-26/reddit-s-...

It has become clear that people are paying attention to the conversation; however, without applying some structure to the comments it can feel like a tornado of emotion, and the overall sentiment is unclear. I realized there needed to be a better way to keep track of the changes in coversation, and that's why I decided to build marketstream.io.

Marketstream.io applies NLP to social media streams to categorize the all of the many ways people talk about the stocks that they are trading right now--whether people are talking about buying stock, or making bets with option plays. On top of the NLP platform is a responsive user interface that allows you to spot the trends that are happening in different areas of the market, and watch as trends change in real-time in reaction to today's turbulent news cycle.

Marketstream.io was released in early November of 2020 and is still in alpha, but I am already enjoying the bird's eye view it offers. I am now focused on getting feeback from users and adding more features that can help people make better decisions about how they'd like to trade.