The goal of this project is to, through data visualiztion, investigate the performance and usability of different cryptocurrencies.
An article going into a detailed analysis of each plot can be found here: https://medium.com/coinmonks/is-bitcoin-still-the-king-a-deep-dive-into-the-recent-crypto-landscape-2018-2021-1b849eb704fd
The dataset being used is available at: https://www.kaggle.com/competitions/g-research-crypto-forecasting/data
The attributes of the dataset are the following:
timestamp - A timestamp for the minute covered by the row.
Asset_ID - An ID code for the cryptoasset.
Count - The number of trades that took place this minute.
Open - The USD price at the beginning of the minute.
High - The highest USD price during the minute.
Low - The lowest USD price during the minute.
Close - The USD price at the end of the minute.
Volume - The number of cryptoasset units traded during the minute.
VWAP - The volume weighted average price for the minute.
Target - 15 minute residualized returns. See the 'Prediction and Evaluation' section of this notebook for details of how the target is calculated.