The Ethereum power law

The model behind fair value, bottom and top — how it is fitted, how much to trust it, and where it breaks.

price = 10-4.487 · t2.241

t = days since the Ethereum genesis block (30 July 2015) · fitted on 3,831 daily closes up to 14 Nov 2026 · R² = 0.78

$10$100$1k$10k2033202820242021201920182017

PricePower law (fair value)BottomTop

The idea

Plot the logarithm of Ether’s price against the logarithm of its age in days, and the points fall roughly along a straight line. A straight line on log–log axes is a power law: price grows like age raised to a fixed power, here n = 2.24.

Networks tend to grow fast early and then slow down. A power law captures that: the price keeps rising, but each year by a smaller percentage. Today the line rises about +21% a year; doubling fair value from here takes about 5 years. Unlike exponential growth, the yearly rate keeps falling — a modest baseline rather than a promise of moonshots.

The idea comes from physicist Giovanni Santostasi’s work on Bitcoin, whose power law has an exponent of almost 6 (counted from Bitcoin’s genesis block). Ether’s is much smaller and its fit looser, so treat the line as a description of the past rather than a law of nature.

Robustness checks

The exponent depends on the data window. Refitting with data only up to each date gives exponents between 1.82 and 2.44. Long-range forecasts are therefore much less certain than the clean lines suggest.

Data up toExponent n
1 Jan 20202.19
1 Jan 20211.82
1 Jan 20222.39
1 Jan 20232.44
1 Jan 20242.37
1 Jan 20252.38
1 Jan 20262.34
14 Nov 20262.24

No separate cycle curve. Adding a repeating market cycle (best fit about 3.4 years) to fair value raises the in-sample fit from R² 0.78 to 0.89. But when trained on older data and tested on later years, it predicts worse than the plain trend, so fair value stays the trend line:

Error = root-mean-square difference in log10 price on the held-out years.

Limitations

Questions

What is the Ethereum power law?

A straight-line fit of log price against log age: price = 10-4.487 · t2.241, with t in days since 30 July 2015.

How well does it fit?

R² is 0.78: the line explains 78% of the variation in log price. Bitcoin’s power law fits more tightly.

Can I use it to predict the price?

Only as a rough baseline. See the price predictions for the yearly values and their uncertainty, and the outlook for what happened after similar days.

Not financial advice.