So for work, I’ve been doing a lot of data science stuff with R. On the side, I’ve been playing around with R and NEO, looking for potential underlying drivers of the price of NEO. In essence, what are some of the asset correlates that have been driving the wild swings in the price of NEO the past several years?
I’ve actually been able to find R-squared correlates up to the 85% mark, which indicates a level of statistical significance. I’m in the process of developing a model that can better forecast the price of NEO. It is a work in progress, but it’s definitely interesting. I would welcome you guys to take a look. I’ve posted my work and findings thus far in an article on my Github, while trying to explain things in layman’s terms. You can see it here:
Take a look and let me know your thoughts.