Giter Club home page Giter Club logo

bitcoin-bubble-index's Introduction

Bitcoin Bubble Index

What's this?

This project provides a visualization analysis tool for price bubble of Bitcoin, including basic price information, 60-days accumulative increase, hot keywords index, and bubble index. We accumulated the original data (2010/07/17 - 2020/03/09) and put them into /original_data folder, and we visualize our analysis result using echarts.

Datasets

We provide the following dataset:

  • price.txt: The bitcoin price in USD per day.
  • sentaddr.txt: Number of unique active addresses per day.
  • transaction.txt: Number of transactions in BTC blockchain per day.
  • difficulty.txt: Average mining difficulty per day.
  • gtrend.txt: Google Trends to "Bitcoin".
  • tweets.txt: Tweets per day #Bitcoin.

You can get the lastest data from bitinfocharts.com

How to use

Open index.html in your browser directly and you will see the following page:

In original_data folder, you can run the command:

python process_data.py

to get the analysis result, which will be stored in data.json.

bitcoin-bubble-index's People

Contributors

aksnzhy avatar tonyn1997 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

bitcoin-bubble-index's Issues

consider the amount of transactions?

there is a difference between the last bull market 2017 and the current bull market 2021. There are more retailers buying in 2017. Now, more and more institutions joined this market, the amount of the transaction is getting larger.

adding number of twitter users to the index?

since you use the number of tweets in your index, you might need to add number of twitter users to the index.

because the twitter users have been increased a lot since 2017.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.