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Pythonically downloaded trading data (6.6m trade records) from Google Drive and Kraken API. Combined the data and began analysis using Pandas.

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Building a Crypto Trading Dashboard – The First Steps

This project relates to a blog post linked here. The blog post details my efforts to begin a crypto trading dashboard application using the skills I learned in Phase 1 of the Flatiron School's Data Science course to collect and begin analyzing historical trading activity of a cryptocurrency.

The Jupyter notebook downloads historical trades made on the Kraken Exchange from two sources. The bulk of the trades (5.3m records) were downloaded from Kraken's Google Drive. The most recent trades (1.3m records) were downloaded from the Kraken API.

All of the data is synchronized and aggregated using Pandas time series aggregation functionality, and an analysis of the data was started.

See the blog post or the related Jupyter Notebook for further information.

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Pythonically downloaded trading data (6.6m trade records) from Google Drive and Kraken API. Combined the data and began analysis using Pandas.

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