Bitcoin MVRV Ratio

Bitcoin MVRV Ratio

The Bitcoin MVRV Ratio is short for the Market Value to Realized Value Ratio and is a popular metric used for understanding Bitcoin’s long-term market cycles. By comparing Bitcoin’s total market capitalization to its realized cap (which values coins at the price they last moved), it offers insights into when Bitcoin is overvalued, fairly valued, or undervalued.

The concept was first introduced by on-chain analysts Murad Mahmudov and David Puell in a paper published in October 2018, and it has since become a widely used tool for assessing Bitcoin market conditions.

What Is MVRV Ratio?

The market value of Bitcoin is its total circulating supply multiplied by its current price, while the realized value calculates the value of all coins at the price they last changed hands. The MVRV Ratio divides market value by realized value, helping us track when market speculation is running hot or cooling down.

Historically, an MVRV above ~3.7 has signaled overvaluation and market euphoria, while an MVRV below 1 suggests undervaluation and possible capitulation, often marking strong long-term accumulation zones.

MVRV helps capture the tension between speculators and long-term holders (HODLers) between short-term hype and the deep conviction of those who rarely move their coins. When market value soars above realized value, it often signals speculative froth; when it sinks below, it points to fear, capitulation, or undervaluation.

Periods when MVRV drops below 1 have historically been some of the best long-term buying opportunities, while very high MVRV ratios have tended to mark the peak of bull cycles.

MVRV Ratio vs. MVRV-Z Score

While the MVRV Ratio compares raw market and realized values, the MVRV-Z Score takes it further by applying a statistical adjustment, measuring how far market value deviates from realized value in standard deviation terms.

Where MVRV offers a clear ratio, MVRV-Z helps highlight statistically extreme conditions, making it useful for identifying when Bitcoin is at historically stretched highs or lows.