Our analytics tools enable us to interpret wallet activity through categories that have similar behavior. We are using sliding temporal windows to compute the wallet's average behaviors.

Regarding the mentioned behaviors, we have defined different key categories depending on specific parameters of activity (number of transactions, total volume involved, and balance). We have implemented two complementary labeling systems: one for the main behavior, and a second representing the size or intensity of a given behavior.

Below you can find the rules that are used for the case studies (which can be adapted in our SaaS platform):

  • Wallets are considered Holders when their balance remains stable (in the range of -10% to +10%) and their exchanged volume is inferior to 20% of the initial balance.
  • When their exchanged volume is superior to 10% of their initial balance, wallets are considered Speculators.
  • Wallets are considered Incoming or Outgoing Investors for an increase or decrease superior to 10% of their wallet’s initial balance over the next period.
  • When their ratio exchange volume/balance evolution is superior to 200%, the label becomes Speculators.

The second labeling system characterizes our behavioral categories in their size/intensity. For each type of behavior, rules don’t involve the same indicator: exchanged volume characterizes Speculators, wallet balance is used for Holders, and the number of tokens added or removed for Investors.

Limits used by default (on the USD-referential):

  • Residual activity: less than $10 in value
  • Micro: $10-$1k
  • Little: $1k-$10k
  • Medium: $10k-$100k
  • Big: > $100k

When defining the frontiers in terms of number of tokens, they have been predefined to stay in this same order of magnitude regarding the latest price range.