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Hi there 👋

(I need to update this 😅)

My name is Riccardo but I go by Ricky. I love and data automation. This document gets updated hourly.

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Below is an animated GIF showing cryptocurrency prices for the past 31 days, powered by GitHub Actions and R, which updates once every hour (check the timestamp on the latest data in the subtitle of the chart below - UTC timezone):

The past 31 days of data are being shown, and the data and GIF shown updates hourly.

You can download the latest your data yourself by running the following code in R:

install.packages('pins') # only run this if 'pins' package is not already installed
# Load required package
library(pins)
# Point to the correct board
board_register(name = "pins_board", 
                url = "https://raw.githubusercontent.com/predictcrypto/pins/master/", 
              board = "datatxt")
# Pull the data
cryptodata <- pin_get(board = "pins_board", name = "hitBTC_orderbook")
# Show the data
cryptodata

No authentication or anything else is required outside of running the code above to pull the data, which is updated once every hour.

Press on the button below to show the rest of this document:

Show the rest of the page

Ethereum Price Trend:

Points are colored in green if the latest price is higher than two days ago, and red if it is lower than two days ago.

Now only showing the last 2 days:

Ricky Github Stats

How do you add a page like this to your own GitHub profile?

Be sure to create a new repository named the same as your GitHub username with a readme.md in order to get this to appear on your profile, forking this or a different repository will not work. Click here for some great templates.

ries9112's Projects

beefy-app icon beefy-app

Yield farming optimizer for Binance Smart Chain

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

cv icon cv

My CV built using RMarkdown and the pagedown package. Forked from: https://github.com/nstrayer/cv

dynamic-presentation icon dynamic-presentation

A preview of the Predict Crypto dynamic presentation which adapts the analysis for the later slides based on user selections to the latest cryptocurrency data

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