Blockchain transaction data is particularly well suited for data science and machine learning because it is entirely publicly accessible. In fact, on-chain analysis, also known as the extraction and analysis of all trading and investment activity from the public ledger, is only possible for the asset class of cryptocurrencies. You are going to read about how to do on chain analysis.
What Is On Chain Analysis Crypto?
Examining the foundations, utility, and transaction activity of a cryptocurrency and its blockchain data is the focus of the burgeoning area of "on-chain analysis."
By examining a range of variables, on-chain analysts try to deepen their understanding of a network in order to forecast future price movements. As we'll go over below, on-chain analysis entails drawing conclusions from the following blockchain data types:
- Amounts of transactions
- Block specifics like miner incentives
- Correlations in prices
- Swap incoming and outgoing flows, and even more
On-chain analysis employs readily available blockchain data to value a network, much as fundamental analysis of stocks seeks to identify the underlying value of a corporation.
On-chain analysis and technical analysis are frequently used by traders and investors to pinpoint the best short-term entry and exit points for crypto assets.
Using publicly available transaction and wallet data to understand the value of a blockchain network rather than the speculative hype surrounding the crypto-asset is, in short, one of the most significant use cases of on-chain analysis.
How To Do On Chain Analysis?
With the use of on-chain analysis, we can see what's happening on a blockchain network in real time. The person with the most coins is? Coins are entering or leaving exchanges? Are investors making money now? This allows the general public to see the state of our financial system in real time for the first time ever.
You can search up any wallet address or smart contract using a blockchain explorer like EtherScan for Ethereum or SnowTrace for Avalanche. However, they do not compile data or provide resources to interpret the abundance of available data points.
As a result, a plethora of platforms and resources have appeared, each of which provides users with analytical charts and dashboards to help them better visualize blockchain data and follow the movements of individual wallets and cryptocurrencies.
These on-chain analytics tools frequently come with a lot of free features or are completely free. Popular ones are Glassnode, IntoTheBlock, Nansen, Dune Analytics, and Messari, to name a few. These are how to do on chain analysis.
