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https://github.com/triestpa/cryptocurrency-analysis-python

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
https://github.com/triestpa/cryptocurrency-analysis-python

bitcoin cryptocurrency data-analysis data-science data-visualization ethereum jupyter-notebook plotly python tutorial

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Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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# Analyzing Cryptocurrency Markets Using Python

## A Data-Driven Approach To Cryptocurrency Speculation



*How do Bitcoin markets behave? What are the causes of the sudden spikes and dips in cryptocurrency values?  Are the markets for different altcoins inseparably linked or largely independent?  **How can we predict what will happen next?***



Articles on cryptocurrencies, such as Bitcoin and Ethereum, are rife with speculation these days, with hundreds of self-proclaimed experts advocating for the trends that they expect to emerge.  What is lacking from many of these analyses is a strong foundation of data and statistics to backup the claims.



The goal of this article is to provide an easy introduction to cryptocurrency analysis using Python.  We will walk through a simple Python script to retrieve, analyze, and visualize data on different cryptocurrencies.  In the process, we will uncover an interesting trend in how these volatile markets behave, and how they are evolving.



Combined Altcoin Prices



This is not a post explaining what cryptocurrencies are (if you want one, I would recommend this great overview), nor is it an opinion piece on which specific currencies will rise and which will fall.  Instead, all that we are concerned about in this tutorial is procuring the raw data and uncovering the stories hidden in the numbers.



To read more, visit -

[blog.patricktriest.com/analyzing-cryptocurrencies-python](https://blog.patricktriest.com/analyzing-cryptocurrencies-python/)



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An HTML version of the entire notebook, with results and visualizations, is available here -

https://cdn.patricktriest.com/blog/images/posts/crypto-markets/Cryptocurrency-Pricing-Analysis.html



Included in this repository are the

- IPython Notebook

- Notebook Python File

- Notebook HTML Page

- Pre-rendered charts (PNG and HTML)



This Python notebook is 100% open-source, feel free to utilize the code however you would like.

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The MIT License (MIT)



Copyright (c) 2017 Patrick Triest



Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.

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