Mayer Multiple Explained for Long-Term Holders

The Mayer Multiple is one of the simplest indicators in Bitcoin analysis, which is exactly why it has survived. It is a single division: today’s price divided by the 200-day moving average of price. Nothing is fitted, nothing is tuned, and there is no version of it that only works on one exchange’s data.

For a long-term holder the appeal is not that it predicts anything — it does not. The appeal is that it converts a price into a comparable number. Bitcoin at $64,099 means nothing on its own. Bitcoin at 0.885 times its own 200-day average is a statement you can line up against every other day in the asset’s history.

How the number is built

Take the closing price for each of the last 200 days, average them, and divide today’s price by that average. A reading of 1.0 means price sits exactly on its 200-day average. A reading of 1.5 means price is 50% above it. A reading of 0.8 means price is 20% below it.

Two hundred days is roughly seven months of trading. That window is long enough to smooth out a bad fortnight and short enough to move meaningfully within a single cycle leg. It also lags: after a sharp move, the average takes months to catch up, which is a feature rather than a bug when the alternative is reacting to every week.

The metric is named after Trace Mayer, an early Bitcoin investor who used it; the term “Mayer Multiple” itself was coined by Preston Pysh. The familiar 2.4 threshold does not come from a theory of value. It comes from a retrospective simulation of regular buying, which found that accumulating while the multiple sat below 2.4 produced a better result in Bitcoin terms than using a higher cut-off. Published estimates of the long-run average multiple usually land between roughly 1.3 and 1.5, depending on where the window ends. All of that is an observation over a handful of cycles rather than a law, and it is worth checking against data rather than repeating on trust.

What the distribution actually looks like

Everything in this section is measured on one fixed window of daily closes, 17 August 2017 onward, so the first Mayer Multiple inside it is dated 4 March 2018 — 3,066 daily readings for Bitcoin through 25 July 2026. The price history behind the site has since been extended back to August 2011, and the live Mayer Multiple tool ranks against all of it, so its counts are larger than the ones below.

Percentile	Bitcoin	Ethereum
10th	0.712	0.615
25th	0.836	0.785
Median	1.025	1.006
75th	1.249	1.274
90th	1.509	1.614
Highest	2.820 (8 Jan 2021)	2.945 (11 May 2021)
Lowest	0.477 (18 Jun 2022)	0.273 (14 Dec 2018)

Three things stand out. The median is almost exactly 1.0 for both assets, which is what you would expect from a ratio of price to its own trailing average — it is a reminder that the metric is descriptive, not directional. The distribution is asymmetric: the downside tail is compressed (a Mayer Multiple cannot go below zero and rarely goes below 0.5) while the upside tail is long. And Ethereum’s tails are wider on both sides, which is a consistent theme when the two assets are compared.

Bitcoin has spent 48.0% of these days below 1.0 and 19.9% below 0.8. In other words, trading under the 200-day average is not an emergency — it is roughly half of all days.

The 2.4 threshold, checked

In that window Bitcoin closed above 2.4 on 25 days out of 3,066 — 0.8% of the period. That part of the folklore holds up: readings above 2.4 are genuinely rare.

What is less often mentioned is how concentrated those days are. Twenty-four of the twenty-five fall inside a ten-week window in early 2021: 3–14 January, 8–22 February, and a single day on 13 March. The twenty-fifth is one isolated day, 26 June 2019. Since that window Bitcoin has closed at a new all-time high on 42 days, spread across seven separate episodes — April 2021, October–November 2021, March 2024, the winter of 2024–25, May 2025, July–August 2025 and the peak on 7 October 2025 — and not one of those days came at a Mayer Multiple above 2.4.

That matters for anyone using 2.4 as a mental sell signal. Consider what the Mayer Multiple actually read at the notable tops in our data:

Date	Event	BTC Mayer	ETH Mayer
8 Jan 2021	Highest BTC reading on record	2.820	2.791
14 Apr 2021	First 2021 price peak	1.939	2.261
8 Nov 2021	Second 2021 price peak	1.485	1.590
7 Oct 2025	Bitcoin all-time high, $124,774	1.177	1.533
25 Jul 2026	Latest reading	0.885	0.863

The single most important row is the fourth. Bitcoin’s all-time high of $124,774 in October 2025 arrived at a Mayer Multiple of 1.177 — barely above trend, and less than half the January 2021 reading. Anyone waiting for 2.4 to signal a top would have waited through the entire move and through the decline that followed: 48.6% below the high as of 25 July 2026, and 53.1% below it at the low on 1 July 2026.

The plain reading of this is that the extremity of the metric has been compressing. Whether that reflects a maturing market, a larger capital base, a different investor mix, or simply two data points that happen to line up is not something eight years of history can settle. But it is a strong argument against treating any fixed threshold as a rule.

Reading it as a percentile instead of a level

This is the reason the Hodlometer Index does not feed the raw Mayer Multiple into its calculation. Instead the value is converted into a percentile rank within a trailing four-year window: not “is this above 2.4?” but “how does this compare with the last four years of readings?”

The practical difference is that a percentile adapts. If the market spends three years never exceeding 1.6, then 1.5 becomes a genuinely hot reading in context, and a percentile rank says so while a fixed threshold stays silent. The trade-off is that percentiles re-baseline: a sustained regime change gradually becomes the new normal. Both approaches have a failure mode, and being explicit about which one you have chosen is most of the value.

At the latest reading, Bitcoin’s 0.885 and Ethereum’s 0.863 translate into a blended component score of 28.0 out of 100 — the second-coldest of the index’s four inputs. Mayer carries a 30% weight, the joint-largest, because it has the longest clean history in our database and depends on no external data provider. The full weighting scheme is on the methodology page.

Honest limitations

• It lags by construction. A 200-day average cannot tell you about a change in conditions until roughly a third of that window has passed through it.
• The sample is short. Our history covers eight years — one complete halving cycle plus parts of two others. Percentile statements about a distribution this small should be read as description, not as probability.
• Different data sources give slightly different numbers. Our figures come from daily closes in UTC. A dashboard using a different exchange, a different close time, or a volume-weighted price will show a Mayer Multiple that differs in the second decimal place.
• It says nothing about why. A Mayer Multiple of 0.885 is identical whether price fell or the average rose to meet it. Those are different situations.

What to take away

The Mayer Multiple is a good ruler and a bad alarm clock. It is genuinely useful for answering “is this price unusual relative to the recent past?” and genuinely poor at answering “should I do something today?” Used as one input among several — which is how it enters the Hodlometer Index — it earns its place. Used as a standalone trigger with a fixed threshold, the last two cycles suggest it would have kept you waiting.

Related metrics on a longer horizon are covered in the piece on the 200-week moving average, and the current reading for both assets is on the Mayer Multiple tracker.

Frequently asked questions