HSHACKSInvesment

Tony Jiang, Mathew Luo, Victor Lee

Inspiration: The inspiration for this app came from a desire to harness the power of social media in a very bold and powerful way. This technology is not limited to stocks, it can also be applied to current events news, technological advances, and social media trends that define our lives

Description: This app parses the most popular discussions from reddit's financial related subreddits, returns the most common stocks, along with their sentiment rating, then using statistics to determine which stocks are the best to trade, and then implementing our own paper trading system to evaluate the effectiveness of our system. This app uses python to analyze the reddit data and javascript and html to build the site to display all the information. We also used google firebase to store our data so we can analyze trends between days and see which topics are on the rise.

Challenges: One of the various challenges we faced were how to structure the data efficiently in firebase and how to organize it all so that it will work server-side with python, and client side with javascript. It was also difficult to decide how to parse stocks in the best way so that our data was as accurate as possible. In addition, with such big data-sets, we needed efficient algorithms to analyze the data in a limited amount of time

Misc: The MasterDirector.py synthesizes all the files and lets the bot automatically buy stocks that it thinks it has the highest probability of performing. Using the trader.py file, the owner can decide when to sell the stocks and the stocks will appear in the history section of the site.

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