Risk models across 14 assets
The risk metric, its bands, forward returns by risk level and time spent in each band — for Bitcoin, ten major alts, and the S&P 500, gold and silver as benchmarks.
Risk models, 83 distinct charts across 14 assets, market-implied probabilities, settlement-trust scores on 132,154 prediction markets, and every method published in full — including the studies that failed.
Risk tops when separation from the 365-day mean peaks — not when price peaks. The two are weeks or months apart.
Everything needed to decide where a cycle stands, and everything needed to check whether the answer can be trusted.
The risk metric, its bands, forward returns by risk level and time spent in each band — for Bitcoin, ten major alts, and the S&P 500, gold and silver as benchmarks.
Valuation, dominance, cycles, technicals and macro. No account to read any of them. The incumbent makes five of its four hundred and fifty-seven public.
Bitcoin from 2010, the S&P 500 from 1927 and gold from 1968. Ninety-nine years of equity history is what makes “is this cycle unusual” answerable at all.
What prediction markets price for rate decisions, inflation prints and recession calls, on the same axis as the risk metric — a forward-looking number beside a backward-looking one.
Every market on both major venues read, scored for ambiguity, and checked against its dispute record. Nobody else measures whether the odds you are reading will settle honestly.
CSV and PNG from any chart, and control state in the URL so a view you send reopens the way you left it. The incumbent’s chart shell has none of the three.
A risk metric is normally scaled between its own minimum and maximum. Take those from the whole history and every point in 2015 is drawn using the range of 2021 — a number nobody could have computed at the time, on a chart that exists to tell you what to do today. It renders perfectly. It is still a lie about the past.
Ours expands: each day is scaled only against the days before it. Backtests come out worse and the chart is harder to sell. It is the only version that means anything.
Title, the date it was computed, the version of the metric that produced it, and one plain sentence saying what it measures — on the chart, not in a help article behind a login.
Risk bands, logarithmic regression, dominance, drawdown, ROI by cycle and the technical set — across 14 assets, on daily close.
Retuning a metric silently rewrites every historical chart drawn with it. Each definition carries a version, and a change to the definition changes the version.
We read the rules text of every market on both major venues, score how ambiguously it is written, and record every contract that has already been disputed — always with the clause that raised the flag, never the score on its own.
Disputed volume over time, the contracts contested more than once, and dispute rate by category — from settlement records already held, not estimates.
Five flags: subjective wording, no named source, no edge cases, no timezone, prior dispute. Three of the five fire on what the rules text does not say.
Prediction markets price the macro events that move crypto — rate decisions, inflation prints, recession calls. Those probabilities sit on the same axis as the risk metric, so a forward-looking number and a backward-looking one can be read together.
Illiquid days are left as visible holes rather than interpolated, and the filter that dropped them is stated on the chart. A smooth line drawn through no trading is an invention.
These are risk-neutral prices carrying a risk premium, not forecasts. It says so on the chart, because the difference is the whole thing.
A sample. Each line under a title is computed from the data on this page load, not written once and left — which is also the quickest way to tell whether a chart is alive.
Risk tops when separation from the 365-day mean peaks — not when price peaks. The two are weeks or months apart.
The fit widens and re-centres as history accumulates. Bands drawn in 2015 do not know 2021's spread.
Today: Fair value (+0.31σ). Bands are the expanding-fit deviation bands, coloured — not a second model.
The basket is published and reproducible, which is the whole reason not to call it total market cap.
2011–2026 · 16 years · 2026 to date 0.73× (-27%) · highest any year reached 83.6× · lowest 0.31×
Now -48.5% · worst on record -93.2% (2011-11-22) · 4.5% of all days were a new high
0.91× · 29th percentile of all history
758 disputed markets · $5.4bn of volume · median $728k
A 2026 study reports that repricing in Kalshi macro contracts forecasts crypto volatility. It was going to be the flagship of this product. We replicated it on our own data, it did not hold — so the feature is not being built, and the study is published instead.
A null we publish is worth more than a feature we cannot defend.
The eight results that survived multiple-testing correction all vanished once a time trend was added: macro repricing rose steadily across the sample while crypto volatility fell, and a regression reads two crossing trends as a relationship. That is in the study too.