On-Chain Data, Metrics and Market Cycles

On-chain data is the part of crypto that anyone can check. Every bitcoin transaction, every block and every change in who holds which coins is recorded on a public ledger, and a family of metrics has grown up that summarize it: how much the average coin cost its holder, how much miners earn, how many coins moved today, how long coins have sat still. The metrics are popular because they look like a window into what other participants are doing. They are also easy to misread, because each one is built from choices about what to count and how to adjust for the fact that a single person can move coins between their own addresses without trading anything.

This pillar takes metrics one at a time and rebuilds them from their definitions. The guides show the formula, run a small example you can check by hand, then compute the metric from public data with the method stated, so that every dated reading can be reproduced. They say plainly where a metric breaks: lost coins, custody reshuffles at exchanges and funds, and the fact that bitcoin has only a few full cycles on record, which makes any rule drawn from them a rule drawn from a handful of events. The halving history, difficulty, fee and address guides in this pillar supply the mechanics that the metrics sit on.

Nothing here forecasts a price. A metric that describes where the market has been is a different thing from a signal about where it goes next, and each guide in this topic says up front that its subject is descriptive. There are no buy zones, no top signals and no model prices presented as targets. If you want the beginner path through how blocks, fees and consensus work, the Learn section covers it and links back here for the metrics.