Understand the reading
Methodology
Know what the numbers measure, how they are produced, and where their limits are.
Definitions on this page were checked against the measurement pipeline on 28 September 2026.
What the percentage means
Narrative sentiment is the bullish share of an asset’s eligible articles that take a side. Bearish is the rest: 100 minus the bullish share. An article can argue different directions for different assets, and articles that take no side count toward neither.
A reading is the share of directional coverage that argued the asset higher, over the seven publication days behind the edition.
The unit counted is an article–asset pair: each article is read once for each asset it takes a view on, so a piece arguing Bitcoin higher and the S&P 500 lower is one bullish pair and one bearish pair. A pair that takes no side is held out of the reading and reported separately — the denominator is the pairs that took a side, bullish plus bearish, and nothing else. A reading of 41% means that of the coverage that took a side on that asset, 41% argued it higher.
The reading counts the coverage an asset is a subject of. Where an article takes a view on an asset only in passing, that pair is held out of the reading and reported separately, so the share describes coverage about the asset rather than coverage that mentions it.
Below twenty directional pairs in the window, the asset has no reading. The page says so, in words, instead of printing a number that four articles could move ten points. The bond is read as a price, not a yield, so “argued the 10-year higher” means its price higher and its yield lower.
Nothing about the reading is smoothed, calibrated or weighted by recency. The seven days are summed flat and the share is taken once. A share needs no calibration and cannot pin at 0 or 100 by construction.
An edition dated the 22nd covers articles published on the 15th through the 21st. The pipeline runs once nightly and reads the prior day’s coverage, so the edition date and the publication window are one day apart by construction, and every page states the date its data describes.
Each article is counted once per asset, using the newest scoring of it, and the share is rounded to a whole percentage.
The time window
A current reading uses seven publication days. An edition dated on a given day reads the articles published on the seven days before it (UTC), scored the following morning.
The edition date, the data cutoff and the article window are separate things: the edition is the day the reading is published; its articles stop at the end of the day before. On a chart, “History shown” changes how many daily readings are drawn, not each reading’s own seven-day window.
A narrative’s share of coverage uses a shorter, three-day window, weighted toward the most recent day, because it measures attention rather than direction.
From articles to narratives
Coverage is collected, read for each asset it discusses, and grouped by recurring explanation into narratives. Summaries describe that evidence. Automated reading can miss context, and a repeated report is not independent confirmation.
- Collection Coverage is gathered daily from a defined set of public news and market sources, and each article is filed under every asset it discusses. Sources are counted by article, not by outlet: one publisher contributing five pieces contributes five.
- Reading Each article–asset pair is read by a large language model (Anthropic Claude) for the case the article makes about that asset — higher, lower, or no side — with the sentence it rests on kept as evidence.
- Clustering Pairs making the same argument are grouped by text embedding into a narrative, so the same thesis in different words is one argument tracked over time rather than many.
- Writing A nightly language-model pass writes the plain-English summaries, grounded in the extracted evidence. Where the writer states something the site does not publish — a count, a raw score — the passage is dropped rather than rewritten.
What is covered
Bonds
Coverage is refreshed nightly, and each page is stamped with the data date it reflects rather than the time it was built.
Lifecycle measures attention
Emerging, Accelerating, Saturated, Fading and Stable describe the attention a narrative receives. They do not say whether an asset is bullish or bearish, and a narrative does not have to pass through them in order.
Each narrative is staged against its own asset’s coverage. Its share is that asset’s narrative coverage over three days, weighted toward the most recent; its momentum is the change in that share against the three days before. If a narrative has fewer than two articles in the window, it is Stable, whatever its share or its move. Otherwise the first rule that fits applies, in this order: Fading when its share fell by more than 3 share points; Emerging when its share is under 3% and rose by more than 3 points, or when it is new (first seen less than fourteen days ago, with fewer than ten articles) and rising at all; Accelerating when its share is 3% or more and rose by more than 3 points; Saturated when its share is 3% or more otherwise; and Stable for everything else.
What this can tell you
The readings describe published coverage. They are not a poll of investors or a price forecast. Coverage can be incomplete, concentrated in a few publishers, or wrong.
Where this is imprecise, and where it is silent
- Automated reading misjudges sarcasm, satire and context, and miscategorises arguments.
- Coverage varies by asset. Where an asset’s window holds too little directional coverage to read, the page states which it is rather than printing a share.
- Comparable history is about eighty days. The corpus reaches back to 2021, but the scoring model changed on 2026-06-20 and tone is not comparable across that boundary. A direction share is, which is why the weekly figure above can use 122 weeks where a mean score could not.
- Nothing here is a recommendation to buy, sell or hold any asset.
Validation and corrections
Published validation should identify its method, sample and limitations. What has been tested so far, and how, is below.
What the reading is evidence of
The reading measures the argument published about an asset, on the days it was published. Tested against price, that is what it behaves like.
- The same-day correlation between the reading and that day’s price move is +0.48, across ten assets over 79 days. It is the strongest number in the record.
- Weekly, the reading and the same week’s move correlate +0.40, over 122 Bitcoin weeks — across three different scoring models, which is why a share of directions is comparable over a history that a mean score is not.
- The seven-day reading tracks the Crypto Fear & Greed Index at +0.687, over 374 days. That index is built from price, volatility, volume and social data — nothing it uses is anything we read. It is the only independent check available to us, and it is the one that matters most.
Where that agreement comes from is measurable, and it is worth stating plainly. Articles published before a session opened correlate +0.36 with that day’s move; articles published after it opened, +0.53. The agreement strengthens as the press learns what happened. This is coverage explaining the day, in public, on the day — which is what the product measures and what it is for.
What we tested, and published
Before any of the above was published, we asked whether the reading arrives ahead of the move rather than alongside it — and we asked it the way a result can be trusted: the hypothesis, the sample, the statistic and the threshold written down and committed before the test was run.
Four pre-registrations, roughly forty statistics, across 798 asset-weeks. They tested the reading as a level, as a rate of change, at its extremes, and as confirmation of a move already under way. None of the four found the reading arriving first. Every result is on the record, including the ones that would have been convenient.
Two findings did survive and both are contemporaneous, not anticipatory: price rose +1.36% into a peak in the reading and fell −1.74% into a trough — the press rolls over as a rally ends. Those are descriptions of the same window, and that is how they are published.
A fifth pre-registration, on a drift-corrected series, is scheduled. Its hypotheses are written before it runs, and its result is published whichever way it goes.
Errors and corrections
Report errors with the page address and the statement or reading in question. Corrections go to a person.