Exploring order book predictability in cryptocurrency markets in a deep learning perspective using JAX Overview This project explores predictability in cryptocurrency markets, focusing on Bitcoin, the most widely known and liquid cryptocurrency. We use a Convolutional Neural Network (CNN), implemented with FLAX and JAX. Our experiment shows clear sign of short/mid term predictability in a trading perspective. Business understanding The order book contains the bid and ask orders placed by all the market participants, this book convolve a lot of information on the current state of a given market. While this is difficult to use the order book and read it with the naked eye, a machine can efficiently read and extract crucial information from the order book. The objective of our analysis is to identify which books are leading to movements in the market. Data dowload and processing The study referenced in [5] implies that the initial level provides the most valuable information. In line with this perspective, the data used is the BTCUSDT book ticker (the first level of the order book), pub

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