What if we compared traders' behavior on Noise with where people's attention is focused across the internet? Could that give us an edge in trading?
This measures reality independently: 1.00 means a topic is exactly at its own 90-day baseline.
This index combines 5 sources: GDELT news · Wikipedia · Hacker News · Wikipedia edits · YouTube. The coloured dots on each chart show which of them went into it. A market covered by a single source is that source's normalised series, not a composite. YouTube data starts in late August 2026, so this index stays in beta until it has enough history. Posts on X use the 4-source index.
No market matches that filter.
| Market | Index | 1d | 7d | 30d | Noise price | Noise 1 year | Sources in | Days |
|---|---|---|---|---|---|---|---|---|
| Peptides | +0.7% | +108.1% | +226.8% | 17.35° | -33.1% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Slop | -7.1% | +131.0% | +206.7% | 0.96° | +34.6% 43d | GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube | 460 | |
| Run Clubs | -1.0% | -16.7% | -29.5% | 3.03° | -24.3% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Obsession | +17.0% | +102.5% | +22.6% | 68.47° | +34.4% 43d | GDELT news, Wikipedia, Wikipedia edits, YouTube | 456 | |
| Looksmaxxing | -5.4% | -36.6% | -30.4% | 1.23° | +15.7% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Traditional Chinese Medicine | -4.6% | +8.9% | +39.4% | 1.58° | +26.2% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Claude | -3.2% | +40.6% | -14.8% | 62.28° | +85.6% 43d | GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube | 461 | |
| Snap Specs | -3.3% | -0.5% | +10.7% | 21.91° | +23.1% 43d | Wikipedia | 460 | |
| Ebola | -2.7% | -10.2% | +90.1% | 119.75° | +23.5% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| GTA VI | -1.7% | -3.2% | +22.2% | 65.20° | +43.9% 43d | GDELT news, Wikipedia, Wikipedia edits, YouTube | 461 | |
| Vibe Coding | -8.1% | +11.4% | +34.1% | 13.67° | -30.1% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 461 | |
| Aliens | -1.4% | -24.3% | +21.1% | 129.71° | +5.6% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Coinbase | +13.6% | +16.9% | +4.2% | 63.10° | +2.7% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Micro Dramas | -2.1% | -13.0% | +10.2% | 3.32° | +29.7% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Blind Boxes | +3.3% | +30.5% | +24.7% | 14.37° | -4.6% 43d | GDELT news, Wikipedia, Wikipedia edits, YouTube | 460 | |
| Psilocybin | -3.8% | -34.8% | +14.4% | 3.23° | -42.2% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Quantum Computing | -3.0% | -14.6% | +11.0% | 197.17° | +7.0% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Zyns | +5.8% | +5.4% | +22.9% | 36.41° | -0.5% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Bear Market | +3.7% | -18.7% | -24.2% | 3.27° | -38.9% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Game Boy Modding Culture | +3.2% | -23.0% | +3.6% | 3.24° | -33.5% 43d | Wikipedia, YouTube | 460 | |
| UK Underground | -1.0% | +4.4% | -4.4% | 1.86° | -42.7% 43d | Wikipedia, YouTube | 460 | |
| Private Credit | -1.9% | -7.9% | -9.2% | 1.56° | -61.4% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Sports Betting | -3.2% | -12.0% | -29.0% | 36.24° | +4.4% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| K-Pop | -0.7% | -3.8% | -2.4% | 2.58° | -38.2% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| 90s Nostalgia | +1.1% | +5.3% | -2.2% | 29.34° | +3.8% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Cursor | +2.8% | +1.9% | +19.7% | 37.85° | +9.8% 43d | Wikipedia | 456 | |
| Analog | +1.4% | +4.1% | +2.8% | 3.23° | -69.3% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| IRL | -3.7% | -12.9% | -21.9% | 17.99° | -34.8% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Afrobeats | +2.3% | +1.7% | +12.6% | 3.15° | -27.8% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| CGM & Metabolic Biohacking | -7.3% | -7.4% | -6.9% | 3.34° | -67.8% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Pokémon | +0.5% | -2.3% | -3.6% | 16.15° | +32.1% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 461 | |
| Unemployment | +3.8% | -7.5% | -1.0% | 9.29° | -42.5% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Hantavirus | +27.8% | +4.2% | +111.8% | 106.29° | +13.5% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Attention Economy | +1.0% | -4.4% | -9.1% | 91.49° | +41.9% 43d | Wikipedia | 460 | |
| Calisthenics | +3.1% | +10.6% | -7.4% | 2.21° | -38.3% 43d | Wikipedia, YouTube | 460 | |
| Wearables | +0.3% | +2.0% | +2.4% | 2.24° | +77.6% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| ChatGPT | -4.7% | +7.0% | -10.4% | 17.95° | +13.6% 43d | GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube | 461 | |
| Substack | -3.2% | -12.9% | -16.6% | 6.59° | -34.5% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Oil | -3.4% | -10.6% | -5.9% | 20.26° | -8.6% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Tariffs | -4.2% | -10.1% | +7.0% | 81.22° | -23.0% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Star Wars | +1.0% | -3.9% | -13.2% | 3.40° | -46.7% 43d | GDELT news, Wikipedia, YouTube | 461 | |
| Bully | -6.2% | +12.1% | +15.0% | 200.75° | +107.6% 43d | GDELT news, Wikipedia, Wikipedia edits, YouTube | 460 | |
| Eggs | -0.5% | -10.0% | -10.6% | 1.46° | +45.5% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Humanoid Robots | -2.5% | -6.3% | -21.3% | 58.91° | +70.8% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Data Centers | -2.4% | -20.6% | -32.3% | 4.01° | -79.7% 48d | GDELT news, Wikipedia, Hacker News, YouTube | 460 | |
| Pro Wrestling | -3.0% | +1.8% | -22.0% | 3.51° | -57.9% 43d | GDELT news, Wikipedia, YouTube | 460 | |
| Silver Tsunami | -11.2% | -18.2% | -41.0% | 2.83° | -8.0% 43d | GDELT news, Wikipedia | 460 | |
| AGI | +39.9% | +2.1% | -24.7% | 11.39° | -30.0% 43d | GDELT news, Wikipedia, Hacker News, YouTube | 461 | |
| OpenClaw | -5.6% | -24.9% | -45.1% | 1.23° | -61.2% 43d | GDELT news, Hacker News, YouTube | 456 |
Each source is smoothed with an exponential moving average and divided by its own median over the previous 90 days. A median is used because a single viral day would raise a mean-based baseline.
The sources are combined with a weighted geometric mean. If a source did not report, the weights of the others are rescaled. With a geometric mean, one source cannot produce a high reading alone.
The window sets the period shown on the charts and the percentage next to each reading. That percentage is the change between the first and the last point on the chart.
It can differ slightly from the 7d column in the table. The table compares with the reading exactly 7 calendar days earlier. The chart starts from the first day the market has data inside the window.
The vertical scale of each chart is fitted to the visible period. The dashed line is always 1.00.
Match sorts markets by how closely the price change and the index change agree over the selected window.
The score is min(|price|, |index|) − |price − index|, in percentage
points. +33.6% price with +36.3% index scores 31. +52.7% with
+77.2% scores 28. −1.6% with −3.8% scores −1.
A high score requires both changes to be large and close to each other. If price and index moved in opposite directions, the score is negative.
A high score does not show that attention caused the price change.
A market is marked provisional when it has less than 120 days of history. Its baseline covers a short period, so its readings are less reliable. Provisional readings are still shown.
No market is provisional today.