## Goal of the Competition

In this open competition, you'll use time series forecasting to predict the price of Bitcoin between November 1 and 20, 2021.

The objective is to evaluate the ability of current Machine Learning models to predict the future price of an asset. To achieve this, you'll have to rely only on technical data, as the database only contains the history of other assets. We will therefore explore the possibility of predicting asset prices through technical analysis only, i.e. without any information from newspapers or Twitter.


## Context

The day of November 16th, 2021, Bitcoin, after a long and seemingly inexorable bull run, began to crash.

The challenge in predicting the Bitcoin price doesn't lie in forecasting how high the price will rise, but rather in anticipating a shift in trend. People who anticipated this change in trend in November 2021 were able to avoid heavy losses, perhaps even take advantage of this situation that few had expected and profit from it.

## Why this competition exists ?

This competition is thought as a first approach to try to predict the future value of Bitcoin (and assets in general). It is intended for Machine Learning practitioners who are interested in crypto-currencies and want to experiment freely with an already available dataset and an easy-to-use interface to evaluate their results.

*It should be noted that a machine learning model that performs well in this competition is in no way guaranteed to accurately predict the price of Bitcoin in general. To achieve this, further analysis of the machine learning model would be required.*