Overview / Usage

A new potential use case of deep learning is the use of it to develop a Cryptocurrency Trader Sentiment Detector. I am currently developing a Sentiment Analyzer on News Headlines, Reddit posts, and Twitter posts by utilizing Recursive Tensor Neural Networks (RNTN) to provide insight into the overall trader sentiment. Trader Sentiment is a key factor in being able to determine cryptocurrency price movements. There are many benefits of Trader Sentiment Analysis for Cryptocurrencies and many advantages RNTN’s offer for Sentiment Analysis. The long-term vision of this project is to be able to develop an Artificial Intelligence (AI) Cryptocurrency Trading Bot that can not only consider trader sentiment to make trading decisions but also take advantage of other opportunities such as arbitrage which is the purchase and sale of an asset to profit from a difference in the price.