Why can different people reach completely opposite conclusions from the same set of on-chain data?
First, a definition: the number of active addresses counts the addresses that have participated in transfers over a period of time. It is often used as one of the metrics for measuring network usage.
The logic behind it: the same metric can mean different things under different market conditions. It’s more reliable to look at several metrics together and cross-check them against price and trading volume than to focus on just one.
Transfers involving $BTC and $ETH are publicly verifiable, and $ARKM is a token of the on-chain analytics platform Arkham.
Don’t put all your funds into a single project.
First, a definition: the number of active addresses counts the addresses that have participated in transfers over a period of time. It is often used as one of the metrics for measuring network usage.
The logic behind it: the same metric can mean different things under different market conditions. It’s more reliable to look at several metrics together and cross-check them against price and trading volume than to focus on just one.
Transfers involving $BTC and $ETH are publicly verifiable, and $ARKM is a token of the on-chain analytics platform Arkham.
Don’t put all your funds into a single project.