Noiseradarindependent instrument JSON
Not affiliated with Noise

What the internet is talking about

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.

Markets tracked495 sources, weighted
Above normal22index over 1.00 · 27 at or below
Strongest now1.97Claude
Deepest record393dbaseline is a 90d trailing median
Data state

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.

Window
GDELT news 0.30Wikipedia 0.30Hacker News 0.30Wikipedia edits 0.10YouTube 0.20no data yet

Claude

tech
1.97 +108.4% 7d
2.101.00 normal0.77
peak 1.97 · 2026-09-14
On Noise 62.28° -9.3% 7d

Humanoid Robots

tech
1.85 +72.4% 7d
1.951.00 normal0.90
peak 1.85 · 2026-09-14
On Noise 58.91° -10.4% 7d

Run Clubs

culture
1.62 -12.3% 7d
1.981.00 normal0.90
peak 1.87 · 2026-09-08
On Noise 3.03° -16.1% 7d

AGI

tech
1.47 -47.1% 7d
2.981.00 normal0.79
peak 2.77 · 2026-09-07
On Noise 11.39° -9.9% 7d

Sports Betting

culture
1.32 +23.9% 7d
1.391.00 normal0.96
peak 1.35 · 2026-09-11
On Noise 36.24° -14.9% 7d

Oil

finance
1.22 +16.8% 7d
1.381.00 normal0.96
peak 1.34 · 2026-09-11
On Noise 20.26° +4.0% 7d

Peptides

health
1.17 -3.8% 7d
1.511.00 normal0.95
peak 1.46 · 2026-09-11
On Noise 17.35° -11.2% 7d

Tariffs

finance
1.14 +9.8% 7d
1.391.00 normal0.96
peak 1.35 · 2026-09-09
On Noise 81.22° -0.3% 7d

CGM & Metabolic Biohacking

health
1.13 -9.2% 7d
1.361.00 normal0.96
peak 1.32 · 2026-09-10
On Noise 3.34° -0.3% 7d

UK Underground

culture
1.11 +14.1% 7d
1.191.00 normal0.95
peak 1.17 · 2026-09-12
On Noise 1.86° +12.0% 7d

ChatGPT

tech
1.10 +9.4% 7d
1.241.00 normal0.97
peak 1.21 · 2026-09-08
On Noise 17.95° -10.1% 7d

Calisthenics

health
1.09 +0.2% 7d
1.111.00 normal0.99
peak 1.10 · 2026-09-09
On Noise 2.21° -15.1% 7d

Attention Economy

tech
1.09 +1.9% 7d
1.121.00 normal0.99
peak 1.11 · 2026-09-11
On Noise 91.49° +9.1% 7d

Pro Wrestling

ip
1.07 -6.3% 7d
1.171.00 normal0.98
peak 1.15 · 2026-09-08
On Noise 3.51° +5.0% 7d

Coinbase

crypto
1.06 +22.0% 7d
1.221.00 normal0.83
peak 1.18 · 2026-09-11
On Noise 63.10° -3.8% 7d

Traditional Chinese Medicine

health
1.05 -11.2% 7d
1.401.00 normal0.96
peak 1.36 · 2026-09-08
On Noise 1.58° +23.3% 7d

Game Boy Modding Culture

culture
1.04 +9.3% 7d
1.271.00 normal0.92
peak 1.23 · 2026-09-10
On Noise 3.24° -25.7% 7d

Analog

culture
1.03 +9.1% 7d
1.051.00 normal0.91
peak 1.03 · 2026-09-14
On Noise 3.23° -10.0% 7d

GTA VI

ip
1.03 -36.6% 7d
1.691.00 normal0.93
peak 1.62 · 2026-09-07
On Noise 65.20° -35.1% 7d

Bear Market

finance
1.01 -18.8% 7d
1.271.00 normal0.97
peak 1.24 · 2026-09-07
On Noise 3.27° -3.5% 7d

Bully

ip
1.01 +13.5% 7d
1.241.00 normal0.78
peak 1.20 · 2026-09-09
On Noise 200.75° +5.8% 7d

K-Pop

culture
1.00 +1.7% 7d
1.021.00 normal0.97
peak 1.01 · 2026-09-11
On Noise 2.58° -22.3% 7d

90s Nostalgia

culture
0.97 -5.7% 7d
1.041.00 normal0.96
peak 1.03 · 2026-09-08
On Noise 29.34° +5.9% 7d

Quantum Computing

tech
0.96 +12.3% 7d
1.181.00 normal0.82
peak 1.15 · 2026-09-11
On Noise 197.17° -1.0% 7d

Wearables

tech
0.95 +2.0% 7d
1.011.00 normal0.88
peak 1.00 · 2026-09-09
On Noise 2.24° +10.8% 7d

Micro Dramas

ip
0.94 -18.3% 7d
1.181.00 normal0.89
peak 1.15 · 2026-09-07
On Noise 3.32° +8.7% 7d

Pokémon

ip
0.94 -8.8% 7d
1.041.00 normal0.93
peak 1.03 · 2026-09-07
On Noise 16.15° -1.7% 7d

Snap Specs

tech
0.94 -3.4% 7d
1.011.00 normal0.91
peak 0.97 · 2026-09-07
On Noise 21.91° +15.8% 7d

Zyns

culture
0.93 -5.6% 7d
1.061.00 normal0.85
peak 1.04 · 2026-09-09
On Noise 36.41° +0.8% 7d

Silver Tsunami

finance
0.93 +6.2% 7d
1.031.00 normal0.86
peak 1.01 · 2026-09-09
On Noise 2.83° +17.2% 7d

Star Wars

ip
0.93 -16.5% 7d
1.171.00 normal0.90
peak 1.15 · 2026-09-09
On Noise 3.40° +0.9% 7d

Private Credit

finance
0.90 -11.6% 7d
1.101.00 normal0.88
peak 1.08 · 2026-09-08
On Noise 1.56° -24.5% 7d

IRL

culture
0.89 -5.9% 7d
1.031.00 normal0.88
peak 1.02 · 2026-09-10
On Noise 17.99° -6.1% 7d

Afrobeats

culture
0.86 +14.8% 7d
1.031.00 normal0.72
peak 0.86 · 2026-09-14
On Noise 3.15° -9.2% 7d

Blind Boxes

culture
0.85 -21.8% 7d
1.121.00 normal0.82
peak 1.09 · 2026-09-07
On Noise 14.37° -4.8% 7d

Aliens

culture
0.85 -2.2% 7d
1.021.00 normal0.83
peak 0.90 · 2026-09-12
On Noise 129.71° -6.6% 7d

Substack

tech
0.85 +8.6% 7d
1.031.00 normal0.75
peak 0.94 · 2026-09-12
On Noise 6.59° +2.4% 7d

Eggs

finance
0.84 -9.9% 7d
1.021.00 normal0.82
peak 0.96 · 2026-09-09
On Noise 1.46° +18.4% 7d

Vibe Coding

tech
0.84 -24.9% 7d
1.151.00 normal0.81
peak 1.12 · 2026-09-07
On Noise 13.67° -6.4% 7d

Data Centers

tech
0.84 +25.6% 7d
1.101.00 normal0.54
peak 1.05 · 2026-09-11
On Noise 4.01° -80.1% 7d

Unemployment

finance
0.82 -15.5% 7d
1.041.00 normal0.80
peak 1.02 · 2026-09-10
On Noise 9.29° -14.5% 7d

Cursor

tech
0.82 -10.7% 7d
1.021.00 normal0.78
peak 0.92 · 2026-09-07
On Noise 37.85° -8.2% 7d

Psilocybin

health
0.82 -17.7% 7d
1.041.00 normal0.79
peak 1.01 · 2026-09-08
On Noise 3.23° -23.5% 7d

Obsession

ip
0.81 +78.6% 7d
1.071.00 normal0.34
peak 0.87 · 2026-09-13
On Noise 68.47° -14.1% 7d

Slop

tech
0.72 -33.3% 7d
1.121.00 normal0.67
peak 1.07 · 2026-09-07
On Noise 0.96° +1.7% 7d

Looksmaxxing

culture
0.70 +8.0% 7d
1.061.00 normal0.47
peak 0.76 · 2026-09-12
On Noise 1.23° -3.1% 7d

OpenClaw

tech
0.63 -48.8% 7d
1.311.00 normal0.56
peak 1.24 · 2026-09-07
On Noise 1.23° -4.8% 7d

Ebola

health
0.60 +0.7% 7d
1.051.00 normal0.53
peak 0.64 · 2026-09-12
On Noise 119.75° -0.1% 7d

Hantavirus

health
0.57 +12.2% 7d
1.061.00 normal0.41
peak 0.57 · 2026-09-14
On Noise 106.29° +0.1% 7d

Every reading

as of 2026-09-14 · Noise prices 2026-09-10 13:30 UTC
MarketIndex 1d7d 30d Noise price Noise 7 days Sources inDays
Claude 1.97 +0.5% +108.5% +174.8% 62.28° -9.3% GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube 415
Humanoid Robots 1.85 +58.3% +72.4% +79.8% 58.91° -10.4% GDELT news, Wikipedia, Hacker News, YouTube 414
Run Clubs 1.62 -0.8% -12.3% +66.1% 3.03° -16.1% GDELT news, Wikipedia, YouTube 414
AGI 1.47 -8.5% -47.1% +135.4% 11.39° -9.9% GDELT news, Wikipedia, Hacker News, YouTube 415
Sports Betting 1.32 +1.4% +23.8% +25.2% 36.24° -14.9% GDELT news, Wikipedia, Hacker News, YouTube 414
Oil 1.22 +7.6% +16.8% +46.1% 20.26° +4.0% GDELT news, Wikipedia, YouTube 414
Peptides 1.17 -8.2% -3.8% +9.7% 17.35° -11.2% GDELT news, Wikipedia, YouTube 415
Tariffs 1.14 -0.7% +9.8% -11.2% 81.22° -0.3% GDELT news, Wikipedia, Hacker News, YouTube 414
CGM & Metabolic Biohacking 1.13 +2.0% -9.2% +41.2% 3.34° -0.3% GDELT news, Wikipedia, YouTube 414
UK Underground 1.11 -2.8% +14.0% +9.6% 1.86° +12.0% Wikipedia, YouTube 414
ChatGPT 1.10 +10.1% +9.4% -10.0% 17.95° -10.1% GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube 415
Calisthenics 1.09 +2.0% +0.1% +0.6% 2.21° -15.1% Wikipedia, YouTube 414
Attention Economy 1.09 +1.0% +1.9% +15.8% 91.49° +9.1% Wikipedia 414
Pro Wrestling 1.07 -4.8% -6.3% +8.0% 3.51° +5.0% GDELT news, Wikipedia, YouTube 414
Coinbase 1.06 -1.1% +21.9% +32.4% 63.10° -3.8% GDELT news, Wikipedia, YouTube 415
Traditional Chinese Medicine 1.05 -6.7% -11.2% -24.6% 1.58° +23.3% GDELT news, Wikipedia, YouTube 414
Game Boy Modding Culture 1.04 +0.0% +9.3% -9.2% 3.24° -25.7% Wikipedia, YouTube 414
Analog 1.03 +5.9% +9.0% +0.0% 3.23° -10.0% GDELT news, Wikipedia, Hacker News, YouTube 414
GTA VI 1.03 -5.1% -36.6% +11.2% 65.20° -35.1% GDELT news, Wikipedia, YouTube 415
Bear Market 1.01 -5.6% -18.8% +25.1% 3.27° -3.5% GDELT news, Wikipedia, YouTube 414
Bully 1.01 -8.4% +13.5% +129.8% 200.75° +5.8% GDELT news, Wikipedia, Wikipedia edits, YouTube 414
K-Pop 1.00 +0.5% +1.7% +6.5% 2.58° -22.3% GDELT news, Wikipedia, YouTube 414
90s Nostalgia 0.97 -3.4% -5.7% -11.3% 29.34° +5.9% GDELT news, Wikipedia, YouTube 415
Quantum Computing 0.96 -3.5% +12.3% +18.8% 197.17° -1.0% GDELT news, Wikipedia, YouTube 414
Wearables 0.95 +3.8% +2.0% -3.1% 2.24° +10.8% GDELT news, Wikipedia, Hacker News, YouTube 414
Micro Dramas 0.94 +2.5% -18.3% -3.6% 3.32° +8.7% GDELT news, Wikipedia, YouTube 414
Pokémon 0.94 -1.7% -8.8% -26.2% 16.15° -1.7% GDELT news, Wikipedia, Hacker News, YouTube 415
Snap Specs 0.94 +2.2% -3.4% +27.8% 21.91° +15.8% Wikipedia 414
Zyns 0.93 +3.1% -5.6% +12.1% 36.41° +0.8% GDELT news, Wikipedia, YouTube 414
Silver Tsunami 0.93 +6.1% +6.2% -36.7% 2.83° +17.2% GDELT news, Wikipedia 414
Star Wars 0.93 -2.7% -16.6% -22.6% 3.40° +0.9% GDELT news, Wikipedia, YouTube 415
Private Credit 0.90 -0.5% -11.6% +26.0% 1.56° -24.5% GDELT news, Wikipedia, YouTube 415
IRL 0.89 -2.1% -5.9% +4.9% 17.99° -6.1% GDELT news, Wikipedia, YouTube 414
Afrobeats 0.86 +6.8% +14.8% -28.4% 3.15° -9.2% GDELT news, Wikipedia, YouTube 414
Blind Boxes 0.85 -0.1% -21.9% -4.7% 14.37° -4.8% GDELT news, Wikipedia, Wikipedia edits, YouTube 414
Aliens 0.85 -4.1% -2.2% +10.8% 129.71° -6.6% GDELT news, Wikipedia, YouTube 414
Substack 0.85 -4.8% +8.7% -6.8% 6.59° +2.4% GDELT news, Wikipedia, Hacker News, YouTube 414
Eggs 0.84 -1.9% -9.8% -20.0% 1.46° +18.4% GDELT news, Wikipedia, YouTube 414
Vibe Coding 0.84 -5.3% -25.0% +15.0% 13.67° -6.4% GDELT news, Wikipedia, Hacker News, YouTube 415
Data Centers 0.84 -2.5% +25.6% +4.0% 4.01° -80.1% GDELT news, Wikipedia, Hacker News, YouTube 414
Unemployment 0.82 -2.1% -15.6% -0.3% 9.29° -14.5% GDELT news, Wikipedia, Hacker News, YouTube 414
Cursor 0.82 +1.8% -10.7% -37.1% 37.85° -8.2% Wikipedia 410
Psilocybin 0.82 -3.9% -17.7% -13.1% 3.23° -23.5% GDELT news, Wikipedia, YouTube 414
Obsession 0.81 -6.6% +78.6% +536.5% 68.47° -14.1% GDELT news, Wikipedia, Wikipedia edits, YouTube 410
Slop 0.72 -8.3% -33.3% -73.6% 0.96° +1.7% GDELT news, Wikipedia, Hacker News, Wikipedia edits, YouTube 414
Looksmaxxing 0.70 -2.1% +8.0% -20.9% 1.23° -3.1% GDELT news, Wikipedia, YouTube 415
OpenClaw 0.63 -8.3% -48.8% +294.2% 1.23° -4.8% GDELT news, Hacker News, YouTube 410
Ebola 0.60 -2.7% +0.7% -7.4% 119.75° -0.1% GDELT news, Wikipedia, YouTube 414
Hantavirus 0.57 +11.2% +12.2% +49.1% 106.29° +0.1% GDELT news, Wikipedia, Hacker News, YouTube 414

How the number is built

Each source series is smoothed with a time-aware EMA, then divided by its own trailing 90-day median. The baseline is a median, not a mean — attention data is all spike and no symmetry, and one viral day under a mean-based baseline raises the bar enough to hide the next real move.

Sources combine by weight, renormalised over whichever actually reported, so a missing source shifts the mix rather than silently scoring zero. They combine by multiplying, not averaging — a weighted geometric mean. These are ratios, and the honest way to put ratios together is the one where a halving and a doubling cancel to 1.00 instead of averaging to 1.25.

The practical reason matters more: it forces a big reading to be corroborated. One source at 76× cannot outvote two sitting at 1.00, because the product still has those two in it. A number here is high because several places agree, or it is not high.

What the window changes

The window redraws the charts and the percentage beside each reading. That figure is the move between the first and last points actually plotted — it describes the line you are looking at, and nothing else.

Which is why it can sit a fraction of a point away from the fixed 7d column above. Those columns are exact-date lookups: 7d means the reading seven calendar days ago or nothing at all. The window figure starts wherever the topic's history actually starts inside the window, so on a market with a gap the two span slightly different intervals. The table is the reference; the panel describes its own chart.

Each panel's y-scale is refitted to the visible slice, which is why a chart can look dramatic at 7 days and flat at a year. The dashed line is 1.00 in every panel and at every window — that is the part which never rescales.

Why you can trust the shape

The index was never told about the calendar, and it found it anyway. The two highest days in Star Wars' 353-day record are 2.86 on 2026-05-05 and 2.83 on 2026-05-04 — May the 4th and the morning after. Step outside that week entirely and the next peak is 2.44 on 2026-05-25, the day A New Hope opened in 1977. Pokémon's February high is 2.90 on 2026-02-28 with 2.86 the day before — Pokémon Day and its morning after, against a February that otherwise never clears 1.87.

The lock is to the date give or take a day, and the day is the lagging half. The sources that confirm a move arrive behind the one that starts it — Wikipedia readership especially — so a combined peak sits on the event or just past it. What makes the rest of these numbers worth reading is that nothing anywhere in the pipeline knows what any of those days mean.

The two numbers are not the same scale

The index is a ratio to a topic's own normal. The price is in degrees, and each market's absolute level is its own history — ebola at 97° is not "worth more" than pokemon at 12°, any more than an index of 1.28 outranks one of 1.02 in popularity.

So the meaningful comparison is between changes, never levels — which is why the price sits in its own band and stays off the chart, and why its change follows the same window as the index beside it. Noise publishes a 24-hour change and nothing longer, so every other window is computed from our own snapshots, which covers the full 7 days. Where the record is shorter than the window, the cell reports the span it really covers and is labelled with it — a four-day move under a "1y" heading would be a quiet lie.

What Match orders by

The Match order ranks markets by how far the price move and the index move agree over the window on screen. Change the window and the order changes with it: the question is what the two did over that stretch, not what the market is like in general.

The score is the smaller of the two moves, less the gap between them, in points — min(|price|, |index|) − |price − index|. A market at +33.6% price against +36.3% index scores 31; one at +52.7% against +77.2% scores 28; one at −1.6% against −3.8% scores −1.

Both halves carry weight. Closeness alone would put that last market first — a flawless agreement about nothing happening. Size alone would put +70% against +15% above +34% against +36%, which is not agreement, it is two things that both went up. Nothing has to be tuned, and a price that moved against its index scores negative and sinks, so the bottom of this order is the list of disagreements.

It says nothing about cause. Two numbers can agree because attention moved the price, because both answer to the same event, or because a month of price history is not yet enough to rule out a coincidence.

Where a reading is provisional

A market marked provisional has fewer than 120 days of history, so its "normal" is built from a short and often unsettled stretch. Cursor is the worked example: 78 days, nearly all of it decay from the spike when its Wikipedia article was created, which produces a truthful-looking −80% at 30 days that says more about the article's age than about attention.

The reading is still shown, because waiting for a full window would mean months of blank panels. It is marked because a three-week baseline and a settled year are not the same claim.

What it cannot see

Instagram and TikTok have no usable free API, so topics that live there — looksmaxxing above all — are systematically under-read. That is a missing input, not a tuning problem.

90s-nostalgia is a diffuse mood rather than an entity and has no clean query; it is kept as an honest floor for what this method can do.