Search
Write a publication
Pull to refresh
103.82

Cryptocurrencies

Money 2.0

Show first
Period
Level of difficulty

Bitcoin (BTC)’s Low Volatility Will Lead to the Next Crypto Bull Run

Reading time3 min
Views1.3K
Curiosity has taken over the crypto space. Every enthusiast and potential trader wants to know when the next crypto bull run will start. The digital currency reached an all-time high in December 2017 and since then, it has been stuck in a crypto winter.

As well all know, Bitcoin, is the highest rising digital asset of all time. This is partly because of Bitcoin’s speculative nature, unlimited potential, and its built-in difficulty adjustment designed to throw off the elements of supply and demand to create a balance. This increases the Bitcoin price against the USD in return. It is a major reason why the leading digital currency can potentially initiate the next crypto bull run.

Bitcoin (BTC) Price Today – BTC / USD
Read more →

Tutorial. Onchain Analysis basics

Level of difficultyMedium
Reading time16 min
Views2.2K

Last week, I introduced you to the world of onchain analysis and explored some of the ways it can be used to gain insights into the cryptocurrency market.

Today, we're taking things up a notch with a tutorial that will guide you through running your own onchain analysis. By the end of this tutorial, you'll have the skills and knowledge you need to start analyzing blockchain data and making informed decisions about your cryptocurrency investments. So let's dive right in and see what insights we can uncover!

This tutorial is built around the Bitcoin blockchain, but many of the techniques are applicable to any other blockchains as long as they have wallets, balances, and transactions.

Read more

How to access real-time smart contract data from Python code (using Lido contract as an example)

Level of difficultyMedium
Reading time7 min
Views2K

Let’s imagine you need access to the real-time data of some smart contracts on Ethereum (or Polygon, BSC, etc.) like Uniswap or even PEPE coin to analyze its data using the standard data scientist/analyst tools: Python, Pandas, Matplotlib, etc. In this tutorial, I’ll show you more sophisticated data access tools that are more like a surgical scalpel (The Graph subgraphs) than a well-known Swiss knife (RPC node access) or hammer (ready-to-use APIs). I hope my metaphors don’t scare you ?.

Read more
2

Authors' contribution