A collection of scripts and notebooks to help you get started quickly.
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Updated
Nov 11, 2024 - Jupyter Notebook
A cryptocurrency is a digital currency that only has value dependent on those who back it. For security, cryptocurrencies rely on blockchaining: a database organized in such a way that records are kept secure through peer-to-peer networks. Each record is kept within a block, and each block holds a timestamp and link to the block before it. The first cryptocurrency was Bitcoin, implemented in 2009 by Satoshi Nakamoto.
A collection of scripts and notebooks to help you get started quickly.
Jupyter Notebook with examples of useful CryptoCompare API calls
A random set of notebooks to analyze the crypto markets
👾 my onchain research, notebooks, quant bots - python edition
Ethereum Solidity Development Overview
Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.
Jupyter notebook which connects to Coinbase pro and downloads market data of crypto currencies. Data is then transformed via Pandas. Various trading indicators are added (SMA, EMA, MACD). Data is then visualised via Plotly.
A jupyter notebook with step-by-step details on how to build Nano blocks and interact with the network.
A python notebook which simulates the functioning of a cryptocurrency.
Notebooks to poke around the blockchain for codebreaker 2018 challenge walkthrough
Notebooks with Time series analysis and ML algorithms applied to cryptocurrencies
Collection of data science scripts and notebooks from :glass_of_milk:
A Python Jupyter Notebook that gives a good overview of how to establish an authenticated connection with the Coinbase Cloud Rest API.
A Jupyter notebook that clusters cryptocurrencies by their performance in different time periods. Visualize results!
A Python Jupyter Notebook that gives a good overview of how to connect to the new Coinbase Cloud Rest API. It also shows how to add advanced trading indicators to the public data and how to visualize the data.
Notebook to scrape 4channel imageboards and perform NLP analysis. Expanding use to identify and track emerging/new cryptocurrencies.
Cryptocurrency Dashboard displaying price and volume information for BTC, ETH, BNB using Python, Jupyter Notebooks and the Binance API.