Ethereum Mvrv - Z-score

| Z-Score Range | Zone | Interpretation | Typical Action | | :--- | :--- | :--- | :--- | | | Red / Extreme Overvalued | Speculative mania. Unrealized profits are historically high. Distribution is likely underway. | Sell / Reduce risk. DCA out. Do not buy. | | 1.5 to 3.5 | Orange / Bull Market | Healthy bull market. Untapped profit exists, but not extreme. Price discovery is happening. | Hold or scale profits. Raise stop losses. | | -1.5 to 1.5 | Neutral / Accumulation | Fairly valued. No extreme signals. Market is waiting for a catalyst. | Hold / Wait. Range trade. | | -2.5 to -1.5 | Light Green / Undervalued | Fear dominates. The average holder is losing money. Short-term sellers are being flushed out. | Begin DCA buys. Watch for capitulation wicks. | | < -2.5 | Dark Green / Historic Buy | Extreme fear. Price has decoupled below on-chain cost basis. This is where generational bottoms are made. | Aggressively accumulate. High conviction buys. |

It acts as a cycle-temperature gauge, indicating how far the price sits above what holders effectively paid, normalized by historical volatility. Key Observations (Q1/Q2 2026)

Z-Score dropped below (undervalued) when ETH was ~$1,000–1,200. That zone marked the bottom of the bear market.

Are you a retail investor looking to use this metric? Ethereum Mvrv Z-score

As of Glassnode's latest data, Ethereum's MVRV Z-Score was approximately as of the most recent 24-hour period. This reading places Ethereum just slightly below its realized value.

As institutional adoption via ETFs grows and Ethereum’s supply dynamics change due to structural upgrades (like fee-burning mechanisms), historical boundaries may shift slightly over time. Conclusion

The power of the Ethereum MVRV Z-Score lies in its ability to pinpoint market extremes. When plotted on a chart, the metric generally moves between three distinct zones. | Z-Score Range | Zone | Interpretation |

The current price of Ethereum multiplied by its total circulating supply. This represents the standard market capitalization.

This method first calculates the raw MVRV ratio, then applies a Z-Score transformation based on a moving average and standard deviation over a specified lookback period:

Dollar-cost averaging into ETH during these phases has historically generated outsized returns once a sustainable uptrend developed. | Sell / Reduce risk

While the MVRV Z-score is a powerful tool, it is not a crystal ball. Investors should be aware of its limitations within the Ethereum ecosystem:

MVRV Z-Score peaked at in Jan 2018, correctly signaling a macro top before a -90% drawdown.

A statistical measure that flattens the data. It highlights how many standard deviations the market value sits away from the realized value. The Mathematical Formula

For those interested in tracking this metric in real-time, it is available on chain analysis platforms such as Glassnode Studio and Sanbase .