Ethereum Valuation Using Supply, Demand, and Metcalfe’s Law
Summary
The article explores ways to estimate Ethereum’s value, emphasizing that ETH differs from Bitcoin because it powers activity on a smart contract network and its demand may relate to ecosystem use. It compares supply and demand analysis with Metcalfe’s law, using circulating supply, total value locked, on-chain volume, active addresses, and transaction counts as predictors of price.
The author reports regression-based estimates and historical comparisons, including low explanatory power for the Metcalfe proxies and a closer fit from supply and demand measures. It also sketches long-range price scenarios based on assumed changes in supply, network activity, and past growth. These are illustrative projections rather than validated forecasts: the models omit major events, rely on simplified assumptions, and the article itself says none of the tested variables yields a sound price projection. Its optimism about future ETH demand extends beyond the quantitative evidence presented.
Key ideas
- Ethereum valuation may depend on both token supply and demand for using the network.
- The article uses TVL and on-chain volume as demand proxies in a price regression.
- Active addresses and transaction counts produce weak Metcalfe-style price estimates in the reported analysis.
- Long-term price projections depend heavily on assumptions about deflation, network growth, and historical returns.
- The models omit market-moving events and should be treated as rough scenarios rather than reliable forecasts.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.