A metric that confirms what already happened feels informative and is not. Most onchain indicators are lagging, several are mathematically derived from price and therefore cannot lead it by construction, and a small number genuinely move first. Sorting them is the single most useful thing you can do before building any kind of process around this data.
The three categories
Lagging indicators describe a state that has already been reached. Percent supply in profit is a clean example: it rises because price rose. It tells you about current conditions and vulnerability, which is useful, but it cannot anticipate anything.
Coincident indicators move with price because price is an input to their calculation. MVRV, the Mayer Multiple and every ratio with price in the numerator sit here. They are valuable for locating where you are in a range, and they are not predictions. When someone shows MVRV turning up alongside price, nothing has been demonstrated.
Leading indicators reflect decisions made before they show up in price. These are rare, noisier than the others, and they are where the actual information lives.
What genuinely tends to lead
Stablecoin supply on exchanges. Capital converting to stablecoins and moving to a trading venue is buying power positioning itself, and it necessarily precedes the purchase. The Stablecoin Supply Ratio formalises this.
Long-dormant coins moving. Old supply becoming liquid is a decision by holders with the longest time horizons, and it has historically preceded distribution phases rather than followed them. Coin Days Destroyed measures it.
Miner behaviour around cost stress. Miners are the only structurally forced sellers in the system, and their capitulation is driven by electricity bills rather than sentiment, which makes it somewhat independent of price. The hash ribbon tracks the recovery side of that.
Funding rate extremes. Persistent one-sided funding builds the conditions for a violent unwind. It does not say when, and it does say that the market is fragile in one direction. See Funding Rates Explained.
The circularity trap
A large share of published onchain analysis is circular without appearing to be. A chart showing a price-derived ratio at an extreme alongside a price extreme has demonstrated arithmetic, not causation. The test is simple: could this metric have moved if price had not? If the answer is no, it is not evidence about what price does next. Applying that test removes perhaps half of the charts in circulation.
Why leading indicators are unsatisfying
They are noisy, they fire early, and they fire often without a subsequent move. Dormant coins move for custody migrations and estate transfers. Stablecoins arrive on exchanges and sit. The tradeoff is intrinsic: an indicator that moves before the event is by definition operating with incomplete information. Anyone presenting a leading indicator with a clean historical record has usually selected the window after the fact.
The workable use is conditional rather than predictive. A leading indicator at an extreme raises the probability of a particular kind of move without dating it, and the correct response is usually to adjust exposure rather than to act.
Building a two-tier watchlist
The practical way to use this distinction is two lists rather than one. The first holds two or three leading indicators, checked with the expectation that most readings mean nothing and the occasional extreme is worth noting. The second holds lagging and coincident metrics, checked only when the first list flags something, to establish what conditions a move would be happening into.
Run in that order, the lagging metrics stop being a source of false confidence and become context. Run in the opposite order, which is what most people do, the lagging metrics generate the initial idea and the leading ones get recruited to support it. The sequence matters more than the specific choices, because the failure mode in onchain analysis is almost never a lack of data. It is selecting the chart after forming the view.
Common questions
Is MVRV useless then? No. It is excellent for locating position within a historical range and poor as a timing tool. Those are different jobs.
How far ahead do leading indicators lead? Weeks to months historically, with wide variance. Not days.
Should I only track leading indicators? No. Lagging metrics describe the conditions a move would happen into, which is what makes a leading signal interpretable. The metrics guide has the full set grouped by what each measures.
Research and education only, not financial advice.
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