Introductory Blog Post
Johnny Y -
Hello! I’m Johnny Yu, a senior at BASIS Tucson North. This blog will document my journey as I advance my Senior Project investigating the efficacy of utilizing natural language processing to analyze social media in order to predict cryptocurrency price movements. I’ll be focusing on so-called “meme coins” like Dogecoin, which have higher volatility and derive their value from societal “mindshare.” There is significant capital pouring into this market, and as cryptocurrencies become more popular and the “meme economy” grows, NLP may become a critical valuation tool for the fuzzy concepts of “mindshare” and “social support”.
For this project, I will work with my on-site mentor, Professor Mihai Surdeanu, at the University of Arizona to develop a sentiment analysis NLP model for social media threads, potentially using an open-source model from Hugging Face. Then, I’ll select meme coins to analyze, with preference for older coins (so that there’s more data). I’ll acquire data by scraping Reddit and Twitter threads relating to the coin using the Reddit API and Twikit. I’ll then optimize the model for investment performance through trial-and-error. This project will make heavy use of Python coding. To answer my research question, I’ll compare the returns of the algorithm with an ARIMA (statistical forecasting) approach.

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