LSTM Model predicting Bitcoin with Tweet Volume & Sentiment

Goal of the project was, to explore the options available to create a model that could predict the price action over a select period of time. The variables that I decided to use were related to the sentiment on twitter. Sentiment is based on 2 different elements, polarity and sensitivity. An overlooked metric that I have included is Tweet Volume which plays a major role or is a negative indicator, in which I will explain a little further through this post.

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