The Mayer Multiple's Sell Line Belongs to a More Volatile Bitcoin

The Mayer Multiple is the simplest valuation metric in Bitcoin: today's price divided by the average of the last 200 daily closes. Right now it reads 1.23, meaning Bitcoin trades about 23% above its own 200-day average. The number most people remember, though, is 2.4 — the level above which the multiple is supposed to say sell. That threshold was calibrated on a Bitcoin whose weekly returns swung about three times as widely as today's, and on our weekly-sampled reconstruction it has not been touched since February 2021.

Now: 1.23 · Median (weekly, since 2011): 1.12 · Days below 1.0 (daily era): 40.1% · Weeks at or above 2.4 (weekly): 6.1% · Volatility 2011-13 vs now: 142% → 52%

What it actually measures

Price divided by the 200-day simple moving average of daily closes. That is the whole formula. There is no on-chain data in it, no sentiment, no model of fair value — just the current price against its own recent trend, expressed as a ratio instead of a percentage.

It is one division, and that is the point. The 200-day average is slow enough to ignore a bad week and fast enough to move within a cycle, so the ratio tells you something simple and honest: how far the price has run from its own recent centre of gravity. Above 1, it is stretched upward. Below 1, it is trading under its own trend.

It is one division, and that is the point.

Where 2.4 came from, and what it is not

The threshold is commonly attributed to Trace Mayer, who popularised the ratio, and 2.4 is usually described as the level above which buying had historically worked out badly. We have not tried to verify how it was originally derived, and it is worth treating as a rule of thumb from a particular era rather than a constant.

It is worth being precise about what that threshold has done since. Using a weekly-sampled reconstruction back to 2011, the multiple has sat at or above 2.4 in 6.1% of weeks — 50 weeks out of 817. The last of those was the week of 11 February 2021. Weekly sampling cannot rule out a brief excursion above the line between samples, so read that as: no week we can see has closed above it in five and a half years.

That does not mean the rule broke. It means the market it was calibrated on is measurably gone. The annualised standard deviation of weekly log returns was 142% across 2011-2013; it was 73% in 2014-2017, 77% in 2018-2021, and 52% across 2022-2026. A threshold set when the asset moved three times as violently is not describing the same distribution today.

The range has narrowed, and the reason is mechanical

Over the full weekly-sampled history the multiple's median is 1.12 and its 95th percentile is 2.50, with a maximum of 8.02 — that extreme belongs to June 2011, when the asset was about two and a half years old. That was a market in which the largest four-week gain of the year was a factor of 6.3, from $1.11 to $6.99 in the four weeks to 16 May.

Restrict the sample to the era where our source publishes an actual daily close, from August 2022 onward, and the distribution is much tighter: median 1.09, 95th percentile 1.45, maximum 1.85. In four years of daily data the multiple has not once reached 2.4, and it has spent 40.1% of those days below 1.0.

Those two pictures are not in conflict; they are the same metric measured over different eras. Our reading is that a ratio built on a 200-day average compresses as volatility falls — the numerator cannot run as far from a slowly-moving denominator when weekly moves are a third of what they were — and the volatility figures above are consistent with that. Either way, anyone quoting a fixed threshold should say which era calibrated it.

A basis problem worth naming

Our price history comes from our own origin, and before 2022 it carries roughly one observation per week rather than one per day. That is enough for a long-run view and not enough for a true 200-day average: a 200-day average built from 28 weekly points is not a 200-day average, however similar the chart looks.

So this article reports two things and labels them. The daily figures cover 2022 onward only. The long-run figures are weekly-sampled and approximate. Where a site shows you a Mayer Multiple stretching smoothly back to 2010 on a daily axis, it is worth asking where the daily closes for 2013 came from.

What it cannot do

The multiple has no memory of anything but price. It does not know what holders paid, how much supply sits on exchanges, or whether miners are under stress. A reading of 1.23 is compatible with a market about to run and a market about to roll over, and nothing inside the formula distinguishes them.

It is also circular in a way worth naming: the 200-day average is made of the same prices as the numerator. A long grind upward drags the average up behind it, so a sustained rally can look moderate on this measure while price doubles. The multiple flags speed, not level.

This is why the metrics that measure a quantity are a useful companion rather than a competitor. Realized price says what the market paid on-chain; exchange reserves say how much is sitting where it can be sold. The Mayer Multiple says how far the price has travelled from its own recent average, and that is all it says.

How to read it now

At 1.23 the multiple is above its median on both bases — modestly stretched, well inside the range the last four years have produced, and nowhere near any historical extreme. That is about as much as this metric can tell you, and it is a reasonable amount.

Its real use is as a check on other readings rather than a trigger of its own. When sentiment is euphoric and the multiple is near 1, those two facts are hard to hold at once and one of them is probably overstated. When both are stretched, they agree — which is information, though not a forecast.

Frequently asked questions

Is 2.4 still the sell level? No week we can see has closed at or above it since February 2021. Treat it as a historical marker calibrated on an era whose weekly volatility was roughly three times today's, not as a current rule.

Why does our number differ slightly from another site's? Mostly the input series. We use daily closes from a single history; a site using an exchange's candles, or intraday highs instead of closes, will land a percent or two away. The shape of the line will be the same.

Does below 1.0 mean cheap? It means price is below its own 200-day average, which has happened on 40.1% of the days in our daily-resolution era. That is common enough that it is a description of trend rather than a verdict on value.

The Mayer Multiple earns its place by being almost too simple to argue with: one price, one average, one division. What it does not carry is the threshold most often quoted alongside it. On our weekly-sampled reconstruction the 2.4 line has been touched in 6.1% of weeks since 2011 and in none since February 2021, over a stretch in which weekly volatility fell from 142% to 52% annualised. Use the ratio; be sceptical of anyone selling you the line.

Related reading: Are We There Yet? on the on-chain cost basis, and Why No Two Rainbow Charts Agree on models that drift from their own calibration.

This essay is part of BTCDash Research. Figures were computed on 2026-09-22 from BTCDash’s own data. Nothing here is financial advice — it is analysis and background for your own research. Bitcoin is volatile; do your own diligence.