Bitcoin B2C - Transactions Count
As of
Correlation Score
-6.98%
B2C (Business-to-Consumer) Transactions Count aims to track the number of transactions from Businesses to Customers. A good example might be transactions from exchanges to traders. Use case: somebody wants to cache out profits from trading.
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 tend to move a lot more money than Customers.
*Note
- Only On-chain data was used to compute this metric. Transactions executed off-chain on Lightning Network are not being taken into account.
- Customer addresses are the addresses that the algorithm did not infer as Institutional.
- Correlation Score is the Pearson correlation coefficient.