Score updated manually. Educational only — not financial advice.How is this calculated? →

The most predictable supply shock in financial history.

Long silence. Then explosion. Every single cycle.

Bitcoin is a liquidity sponge. Watch the taps.

Smart money holds. Weak hands fold. Track which is which.

When miners capitulate, the bottom is near.

Leverage builds. Leverage flushes. Repeat.

The aggregate emotion of every Bitcoin holder, live.

Are holders selling at profit or loss? The answer defines the cycle.

Uses a crossover of the 111-day and 350-day x2 moving averages to identify potential Bitcoin cycle tops. Historically accurate to within days of major peaks.

Models Bitcoin price using the ratio of existing supply to newly issued supply. One of the most widely referenced Bitcoin valuation frameworks.

A logarithmic regression band model that segments Bitcoin price into colour-coded valuation zones across long-term market cycles.

Identifies Bitcoin miner capitulation and recovery using 30-day and 60-day moving averages of hash rate. Historically a strong long-term buy signal.

Compares Bitcoin market value to realised value using a Z-score to identify statistically extreme over- and under-valuation relative to historical norms.

Divides daily Bitcoin issuance value by its 365-day moving average to identify periods of extreme miner stress and profitability.

Compares the realised value of coins held for 1 week versus 1-2 years to track the shift between short-term speculation and long-term conviction.

Measures the confidence of long-term Bitcoin holders relative to price. Low reserve risk historically signals high conviction and strong risk/reward.

Applies Fibonacci multiples to the 350-day moving average to create dynamic support and resistance levels across Bitcoin market cycles.

Proposes that Bitcoin price follows a power-law relationship with time since genesis, suggesting a deterministic long-term adoption corridor.