CBBI — Bitcoin Bull Run Index (Live + History)

How to read this chart

The main line is the CBBI — a daily 0–100 score where high means "historically near a cycle top" and low means "historically near a bottom." It is coloured by cycle zone (green cycle-bottom → lime accumulation → grey mid-cycle → amber elevated → red cycle-top), so you can read the phase straight off the line. The orange line is the BTC price on a separate log axis, so you can see directly how the index lined up with price at every turn.

It's interactive. Zoom with the +/− buttons (or scroll) and pan with the ◀ ▶ buttons (or drag); double-click resets the view. Click any zone in the legend to isolate just that cycle band and the matching slices of the line — handy for spotting, say, every cycle-bottom episode at a glance. On mobile, tap or slide a finger across the chart (hover on desktop) to read the exact index value, zone and BTC price on that day.

The pattern that jumps out: every sub-15 reading has landed near a generational bottom, and every 85+ reading near a cycle top. That's the whole thesis in one picture — but note how long the index can stay pinned at an extreme. The CBBI sat above 85 for weeks into the 2017 and 2021 tops, and ground along the floor through 2015 and 2022. It tells you the cycle phase, not the day.

What the index actually measures

The CBBI fuses nine cycle metrics into one number: Pi Cycle Top, RUPL, RHODL Ratio, Puell Multiple, the 2-Year MA Multiplier, the Trolololo trend line, MVRV Z-Score, Reserve Risk and Woobull Top Cap. It is a cycle-valuation gauge, not a price model — it estimates how far through a bull cycle Bitcoin is, which matters most precisely when it reaches an extreme. For a deeper walk-through see the CBBI explainer.

Use it as a cycle filter, not a trigger: sub-15 is the zone to check your shopping list, 85+ the zone to check your risk — but always alongside price structure, trend and on-chain data, never alone. btclyzer's dashboard folds the CBBI into its multi-factor rating exactly this way, weighting it more on the longer timeframes where slow cycle regimes matter most.