Bitcoin Mayer Multiple (AUD)

Mayer Multiple historical extremes

The Mayer Multiple's all-time high and all-time low have anchored Bitcoin's historical cycle tops and bottoms respectively. The full distribution is heavily concentrated in the 0.8-1.5 range, with extreme readings occurring during the months immediately preceding cycle tops (above 2.0) and following cycle bottoms (below 0.6).

What is Bitcoin's current Mayer Multiple?

Bitcoin's current Mayer Multiple is 1.09. That places Bitcoin slightly above its 200-day moving average - typical of mid-cycle BTC-led phases. Historical cycle tops have printed Mayer values above 2.4 (2017 cycle peak hit 2.42); historical cycle bottoms have printed below 0.6 (2022 bottom hit 0.52). The current reading at 1.09 is firmly in the "normal" zone (0.8 to 1.5) - neither distribution-level overheated nor accumulation-level undervalued.

How rare are extreme Mayer readings?

Across ~3,000 days of post-2014 BTC AUD daily data, extreme Mayer Multiple readings are historically rare:

• Mayer above 2.4 (cycle-top zone): 20 days total - approximately 0.5 percent of the sample. All 20 days fell within the 2017 cycle peak window.
• Mayer above 1.5 (overheated): roughly 5-8 percent of days, mostly clustered in 2017 and 2021 cycle peaks.
• Mayer in 0.8 to 1.5 (normal): roughly 65 percent of days. The dominant historical state.
• Mayer below 0.8 (below trend): roughly 25 percent of days, often during early-cycle accumulation.
• Mayer below 0.6 (cycle-bottom zone): 30 days total - approximately 0.7 percent of the sample. Concentrated in 2014-2015, 2018-2019, and 2022-2023 bear bottoms.

The historical asymmetry is meaningful: Bitcoin has spent slightly more time in the "below 0.6" zone than the "above 2.4" zone, which is consistent with bear markets being longer than cycle-top phases.

What is the Mayer Multiple?

The Mayer Multiple has a simple definition:

Mayer Multiple = current price / 200-day simple moving average

If Bitcoin trades at A$200,000 and its 200-day SMA is A$100,000, the Mayer Multiple is 2.0. If it trades at A$60,000 with a 200-day SMA of A$100,000, the Multiple is 0.6.

The framework was popularised by Trace Mayer, an early Bitcoin investor and podcast host, around 2014. It built on the 200-day moving average's long established role in traditional technical analysis: equities, commodities, and forex traders have used the 200DMA as a long-run trend reference for decades. Mayer's contribution was to normalise the price-to-200DMA relationship into a single ratio and define threshold bands from observation of Bitcoin's cycles.

Why the framework persists despite its simplicity: it captures roughly half a Bitcoin halving cycle (4-year cycles, 200-day window is approximately half a year, so the multiple oscillates meaningfully across each cycle) and the threshold bands have held up empirically across four cycles.

How to read the chart

Five horizontal coloured bands and one gold line:

• Red band (Mayer >= 2.4). Very overvalued. Historical cycle-top zone. Every Bitcoin cycle top has occurred at or above this level. Roughly 5 to 8 percent of historical days have been in this zone.
• Orange band (1.5 to 2.4). Above fair value. Upper-third of the historical cycle range. Not yet in the rare overvalued zone.
• Gold band (1.0 to 1.5). Near fair value, upper half. Bitcoin trades 0 to 50 percent above its 200-day average. The historical centre of the cycle range.
• Green band (0.6 to 1.0). Below fair value. Lower-third of the historical cycle range. Bitcoin trades 0 to 40 percent below its 200-day average.
• Dark green band (Mayer < 0.6). Very undervalued. Historical cycle-bottom zone. Every Bitcoin cycle bottom has occurred at or below this level. Roughly 10 to 15 percent of historical days have been in this zone.

The gold line is the Mayer Multiple itself. Where it sits relative to the bands tells you the current cycle position. The white circle marks the most recent value. The "time spent in each band" table directly below the stat strip shows how rare each zone is historically.

Historical cycle zones

The threshold bands are not arbitrary; they were chosen because every Bitcoin cycle top and cycle bottom has occurred in the corresponding extreme zone. A summary of the historical signal:

One observation worth noting: the November 2021 secondary peak did NOT register in the very-overvalued zone (Mayer ~1.9). It was a lower-high relative to the April 2021 peak, and the 200-day MA had already risen significantly between the two peaks. This is a structural feature of the framework: the second peak in a double-top cycle is often missed because the MA chases the price.

Where the model breaks down

• Curve-fitted to past cycles. The 2.4 and 0.6 thresholds were chosen after observing historical extremes. They are not theoretically derived. The framework could fail to fire at a future cycle top or fire without a top following.
• Double tops are typically missed. The November 2021 peak was lower than April 2021 in Mayer terms even though it was a real secondary cycle top. If future cycles have double-top structure, the second peak may not register.
• Cycle smoothing risk. If institutional adoption flattens future cycle volatility (lower amplitude swings, more sideways structure), Mayer Multiple oscillation narrows and the extreme zones become harder to reach.
• Lagging in fast moves. The 200-day SMA lags fast price moves by roughly half its window. In sharp parabolic advances, the Multiple spikes faster than the underlying signal warrants. In sharp drawdowns, it falls before the bottom is established.
• One indicator among many. Mayer Multiple is best used alongside other cycle frameworks (Log Regression, Pi Cycle, Risk Metric, Halving Cycle Overlay). No single indicator captures all the cycle structure.

Methodology

1. Data source. Bitcoin AUD daily close prices from a public market-data endpoint, refreshed on every site build. Coverage from 2014 onwards.
2. 200-day SMA. Trailing 200-day simple moving average of the daily close. First value appears at day 200.
3. Mayer Multiple. Daily close divided by the 200-day SMA. Computed for every day from day 200 onwards.
4. Band classification. Each daily Multiple is classified into one of the five bands (very overvalued / above fair / near fair / below fair / very undervalued).
5. Time-in-zone statistics. Counts of days in each band across the full available history, surfaced in the table directly under the chart.
6. Resilience. If the upstream source is unreachable during a build, the previous static data file is preserved unchanged.

Related tools

• Bitcoin Pi Cycle Top Indicator (AUD) - 111DMA vs 350DMA × 2 crossover. Faster top-zone signal; pair with Mayer for confirmation.
• Bitcoin Logarithmic Regression Bands (AUD) - long-run fair value with ±1σ / ±2σ bands. Different statistical model, similar conclusions about overvalued / undervalued zones.
• Bitcoin Rainbow Chart (AUD) - sentiment-labelled log regression. Mayer >2.4 typically aligns with the upper rainbow bands.
• Bitcoin Dominance Chart - rotation context. Mayer top-zone signals are often confirmed by dominance peaks within the same window.
• Altcoin Season Index - rotation flow companion. A Mayer top-zone signal alongside a rising Altseason index is a classic late-cycle pattern.
• Bitcoin Risk Metric (AUD) - 0 to 1 cycle score from the log regression deviation. Cross-reference Mayer band with Risk Metric zone.
• Bitcoin Halving Countdown + Cycle Overlay - cycle-time context. Mayer Multiple has historically peaked 12 to 18 months after each halving.
• Crypto Exit Strategy Ladder - build a Mayer-anchored ladder (e.g., sell 10% at Mayer 1.8, 20% at 2.1, 30% at 2.4, etc).
• Crypto CGT Calculator - apply the ATO 50 percent discount to a Mayer-triggered disposal.

Frequently asked questions

About the author

Govind Satoshi

Former Institutional Trader. Founder, SatoshiMacro.

Traded allocated institutional capital at a Sydney proprietary trading firm.