The whole model is the formula on the Methodology page. Nothing sits behind it. Every scored asset ships the raw numbers so you can recompute the score yourself instead of taking it on trust.
heat = regime × geomean(momentum, liquidity, fund, supply), displayed on a 0–100 scale.
Each factor is defined and sourced on the Factors page.
For every scored asset we publish two mirrors of the same numbers:
.md version of each asset page, so the inputs and outputs are readable without
parsing HTML — useful for humans and for language models alike./api/*.json endpoint per asset carrying price, market cap, volume, supply, TVL, and the
computed factor values — the exact inputs behind the score.Take the factor inputs from the JSON, normalize each to its 0–1 range, apply the geometric mean of the four asset-level factors, multiply by the regime gate, and scale to 0–100. The result matches the published score. Because the pipeline is deterministic and rebuilt daily, the same inputs always yield the same output.
Anyone can publish a proprietary "score" and ask you to trust it. Disclosing the formula and shipping the inputs is the point of this project — it is what separates a reproducible indicator from a black box.
Updated 2026-08-14 · rebuilt daily
This site provides information based on public data. It is not investment advice or a solicitation to buy or sell. The heat score is a deterministic, relative indicator computed by a fixed formula; it does not predict future prices. Trading crypto assets involves risk, including price volatility. Make your own decisions.
Data provided by CoinGecko · TVL / fees / stablecoins: DefiLlama · Fear & Greed: alternative.me
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