Analyzing Ethereum, Bitcoin, and 1200+ other Cryptocurrencies using PostgreSQL
Cryptocurrencies are fueling a modern day gold rush. Can data help us better understand this evolving market?
Lately it seems like money has been growing on trees.
With trade volumes reaching billions of dollars a day and market caps hitting tens of billions of dollars, it’s no wonder that cryptocurrencies fuel the gold rush of the modern day.
For this analysis*, we looked at historical OHLCV price data on over 1200 cryptocurrencies (as of 6/26/2017; courtesy of CryptoCompare).
Here’s what you should take away from this post:
- Several high-level insights into the cryptocurrency market
- A better understanding of how TimescaleDB + PostgreSQL make time-series data analysis easier
- Instructions on how to load this dataset yourself and draw your own insights (and perhaps find your own arbitrage opportunities!)
I'm writing my first post from a newbies perspective and in my research saw around 950+ cryptocurrencies. Where can I find more information besides your blog post?
Thanks very much for this information btw,
You can start from this ressource https://coinmarketcap.com/all/views/all/