Mayer Multiple Bands

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Source: blockchain.info on-chain statistics, refreshed every 12 hours.

The Mayer Multiple: origin and definition

The Mayer Multiple was introduced by early Bitcoin investor and podcast host Trace Mayer: current price ÷ 200-day moving average — the simplest measure of how far price has stretched from its long-term trend. This chart draws key multiples as bands that move with the 200DMA: 1× (the 200-day line itself), 2.4× (the historical overheating threshold) and 0.8× (a historical undervaluation reference).

Where the 2.4 threshold came from

2.4 is not a round number pulled from the air. It emerged from backtests Mayer ran with Preston Pysh (The Investor's Podcast): simulating $100-per-day purchases made only when the multiple sat below a given threshold, returns stopped improving once the threshold rose past 2.4 — so 2.4 became the empirical line where speculation historically takes over. Every excursion above 2.4 has eventually been followed by a return below 1.5; the record low printed in late 2011 (about 0.24, early-market data). The long-term average sits around 1.4–1.5.

Track record and cycle decay

The 2013 and 2017 cycle tops pushed the multiple far beyond 2.4. But like MVRV and its relatives, its cycle peaks have declined round after round — as the market has grown and volatility compressed, price stretches less extremely from its 200-day line, and the 2021-era highs cleared 2.4 far less dramatically than early cycles. Fixed thresholds deserve a haircut when applied across eras.

Use and limitations

Treat it as a thermometer of price versus long-term trend: readings near or below 0.8× have historically marked long-horizon accumulation zones, while breaks above 2.4× flag speculation-dominated conditions. The limitations are those of every pure price metric: no on-chain content, thresholds fitted to history, and a sample of barely a dozen years and a handful of cycles — modest statistical power. Cross-check with MVRV-Z and the 200-week MA heatmap.
Beyond cycle positioning, gauge short-term sentiment with market-wide liquidations and BTC liquidation data.