Ethereum B2B - Transactions Count
As of
Correlation Score
35.46%
B2B (Business-to-Business) Transactions Count aims to track the number of transactions between different Businesses. A good example might be transactions from merchants to exchanges. Use case: merchants want to convert their received ETH to a stable coin.
The algorithm infers institutional addresses using this 3 metrics:
- Transactions frequency
- Time the accounts do a high amount of transactions
- Amount spent and received
Assumptions made:
- High transactions frequency is a good indicator of an account that does programmatic transactions.
- Business accounts seem to be active every day or follow a pretty strict activity pattern.
- Businesses move a lot more money than Customers.
*Note
- Customers addresses are all addresses that the algorithm did not infer as Business addresses.
- Correlation Score is the Pearson correlation coefficient. This number represents the correlation between the amount of HODLer accounts and the Ethereum price.