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 tracked494 sources, weighted
Above normal21index over 1.00 · 28 at or below
Strongest now2.39Humanoid Robots
Deepest record393dbaseline is a 90d trailing median
Data state

This index combines 4 sources: GDELT news · Wikipedia · Hacker News · Wikipedia edits. 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.

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

Humanoid Robots

tech
2.39 +95.2% 7d
2.551.00 normal0.83
peak 2.39 · 2026-09-14
On Noise 58.91° -10.4% 7d

Claude

tech
2.09 +129.0% 7d
2.241.00 normal0.72
peak 2.09 · 2026-09-14
On Noise 62.28° -9.3% 7d

Run Clubs

culture
1.88 -13.1% 7d
2.301.00 normal0.86
peak 2.16 · 2026-09-07
On Noise 3.03° -16.1% 7d

AGI

tech
1.60 -50.5% 7d
3.501.00 normal0.73
peak 3.23 · 2026-09-07
On Noise 11.39° -9.9% 7d

Sports Betting

culture
1.48 +48.9% 7d
1.541.00 normal0.92
peak 1.48 · 2026-09-14
On Noise 36.24° -14.9% 7d

Tariffs

finance
1.27 +5.0% 7d
1.581.00 normal0.94
peak 1.52 · 2026-09-09
On Noise 81.22° -0.3% 7d

Calisthenics

health
1.24 +12.1% 7d
1.271.00 normal0.97
peak 1.24 · 2026-09-14
On Noise 2.21° -15.1% 7d

Peptides

health
1.23 -4.2% 7d
1.681.00 normal0.93
peak 1.60 · 2026-09-11
On Noise 17.35° -11.2% 7d

CGM & Metabolic Biohacking

health
1.22 -12.0% 7d
1.521.00 normal0.94
peak 1.46 · 2026-09-10
On Noise 3.34° -0.3% 7d

Oil

finance
1.21 +26.9% 7d
1.371.00 normal0.91
peak 1.32 · 2026-09-11
On Noise 20.26° +4.0% 7d

UK Underground

culture
1.20 +19.6% 7d
1.311.00 normal0.97
peak 1.28 · 2026-09-10
On Noise 1.86° +12.0% 7d

Traditional Chinese Medicine

health
1.15 -11.2% 7d
1.551.00 normal0.94
peak 1.50 · 2026-09-08
On Noise 1.58° +23.3% 7d

ChatGPT

tech
1.14 +13.5% 7d
1.251.00 normal0.97
peak 1.22 · 2026-09-08
On Noise 17.95° -10.1% 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

GTA VI

ip
1.09 -46.8% 7d
2.171.00 normal0.87
peak 2.05 · 2026-09-07
On Noise 65.20° -35.1% 7d

Bully

ip
1.07 +27.4% 7d
1.311.00 normal0.72
peak 1.25 · 2026-09-09
On Noise 200.75° +5.8% 7d

Bear Market

finance
1.04 -25.1% 7d
1.431.00 normal0.95
peak 1.39 · 2026-09-07
On Noise 3.27° -3.5% 7d

90s Nostalgia

culture
1.03 +1.2% 7d
1.051.00 normal0.99
peak 1.04 · 2026-09-11
On Noise 29.34° +5.9% 7d

Pro Wrestling

ip
1.03 -9.9% 7d
1.161.00 normal0.98
peak 1.14 · 2026-09-07
On Noise 3.51° +5.0% 7d

Coinbase

crypto
1.01 +19.3% 7d
1.131.00 normal0.82
peak 1.10 · 2026-09-11
On Noise 63.10° -3.8% 7d

Game Boy Modding Culture

culture
1.00 +3.6% 7d
1.011.00 normal0.96
peak 1.00 · 2026-09-14
On Noise 3.24° -25.7% 7d

K-Pop

culture
0.99 +3.5% 7d
1.011.00 normal0.93
peak 0.99 · 2026-09-14
On Noise 2.58° -22.3% 7d

Analog

culture
0.97 +1.9% 7d
1.011.00 normal0.94
peak 0.97 · 2026-09-14
On Noise 3.23° -10.0% 7d

Star Wars

ip
0.94 -15.7% 7d
1.161.00 normal0.92
peak 1.14 · 2026-09-09
On Noise 3.40° +0.9% 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

Pokémon

ip
0.93 -14.8% 7d
1.111.00 normal0.91
peak 1.09 · 2026-09-07
On Noise 16.15° -1.7% 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

Quantum Computing

tech
0.93 +16.8% 7d
1.211.00 normal0.75
peak 1.17 · 2026-09-11
On Noise 197.17° -1.0% 7d

Micro Dramas

ip
0.92 -21.6% 7d
1.211.00 normal0.88
peak 1.18 · 2026-09-07
On Noise 3.32° +8.7% 7d

Wearables

tech
0.89 -2.2% 7d
1.021.00 normal0.85
peak 0.99 · 2026-09-09
On Noise 2.24° +10.8% 7d

Zyns

culture
0.87 -2.9% 7d
1.021.00 normal0.79
peak 0.96 · 2026-09-09
On Noise 36.41° +0.8% 7d

IRL

culture
0.86 +7.5% 7d
1.021.00 normal0.78
peak 0.94 · 2026-09-10
On Noise 17.99° -6.1% 7d

Data Centers

tech
0.86 +36.7% 7d
1.161.00 normal0.48
peak 1.09 · 2026-09-11
On Noise 4.01° -80.1% 7d

Private Credit

finance
0.84 -15.8% 7d
1.091.00 normal0.81
peak 1.06 · 2026-09-08
On Noise 1.56° -24.5% 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

Vibe Coding

tech
0.81 -28.2% 7d
1.171.00 normal0.77
peak 1.13 · 2026-09-07
On Noise 13.67° -6.4% 7d

Afrobeats

culture
0.81 +12.4% 7d
1.031.00 normal0.68
peak 0.85 · 2026-09-12
On Noise 3.15° -9.2% 7d

Unemployment

finance
0.79 -15.7% 7d
1.071.00 normal0.76
peak 1.04 · 2026-09-10
On Noise 9.29° -14.5% 7d

Substack

tech
0.78 +8.2% 7d
1.031.00 normal0.69
peak 0.91 · 2026-09-12
On Noise 6.59° +2.4% 7d

Aliens

culture
0.77 -6.6% 7d
1.031.00 normal0.75
peak 0.85 · 2026-09-12
On Noise 129.71° -6.6% 7d

Blind Boxes

culture
0.77 -27.6% 7d
1.101.00 normal0.74
peak 1.07 · 2026-09-07
On Noise 14.37° -4.8% 7d

Eggs

finance
0.77 -10.2% 7d
1.031.00 normal0.75
peak 0.87 · 2026-09-09
On Noise 1.46° +18.4% 7d

Psilocybin

health
0.76 -21.2% 7d
1.031.00 normal0.73
peak 0.99 · 2026-09-08
On Noise 3.23° -23.5% 7d

Obsession

ip
0.73 +105.0% 7d
1.081.00 normal0.24
peak 0.78 · 2026-09-13
On Noise 68.47° -14.1% 7d

Slop

tech
0.68 -39.1% 7d
1.171.00 normal0.63
peak 1.12 · 2026-09-07
On Noise 0.96° +1.7% 7d

Looksmaxxing

culture
0.66 +17.6% 7d
1.071.00 normal0.39
peak 0.74 · 2026-09-12
On Noise 1.23° -3.1% 7d

Ebola

health
0.55 +0.7% 7d
1.061.00 normal0.46
peak 0.59 · 2026-09-12
On Noise 119.75° -0.1% 7d

Hantavirus

health
0.51 +20.2% 7d
1.071.00 normal0.33
peak 0.51 · 2026-09-14
On Noise 106.29° +0.1% 7d

OpenClaw

tech
0.46 -64.0% 7d
1.381.00 normal0.36
peak 1.28 · 2026-09-07
On Noise 1.23° -4.8% 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
Humanoid Robots 2.39 +84.6% +95.2% +132.5% 58.91° -10.4% GDELT news, Wikipedia, Hacker News 414
Claude 2.09 +0.8% +129.1% +191.2% 62.28° -9.3% GDELT news, Wikipedia, Hacker News, Wikipedia edits 415
Run Clubs 1.88 -0.8% -13.1% +92.6% 3.03° -16.1% GDELT news, Wikipedia 414
AGI 1.60 -7.6% -50.5% +157.0% 11.39° -9.9% GDELT news, Wikipedia, Hacker News 415
Sports Betting 1.48 +3.9% +48.9% +40.3% 36.24° -14.9% GDELT news, Wikipedia, Hacker News 414
Tariffs 1.27 -3.4% +5.0% -1.1% 81.22° -0.3% GDELT news, Wikipedia, Hacker News 414
Calisthenics 1.24 +1.7% +12.1% +13.6% 2.21° -15.1% Wikipedia 414
Peptides 1.23 -10.8% -4.2% +15.6% 17.35° -11.2% GDELT news, Wikipedia 415
CGM & Metabolic Biohacking 1.22 +2.8% -12.1% +52.7% 3.34° -0.3% GDELT news, Wikipedia 414
Oil 1.21 +9.4% +26.9% +45.2% 20.26° +4.0% GDELT news, Wikipedia 414
UK Underground 1.20 -1.6% +19.6% +18.4% 1.86° +12.0% Wikipedia 414
Traditional Chinese Medicine 1.15 -4.3% -11.2% -17.1% 1.58° +23.3% GDELT news, Wikipedia 414
ChatGPT 1.14 +12.4% +13.5% -7.1% 17.95° -10.1% GDELT news, Wikipedia, Hacker News, Wikipedia edits 415
Attention Economy 1.09 +1.0% +1.9% +15.8% 91.49° +9.1% Wikipedia 414
GTA VI 1.09 -8.1% -46.8% +18.2% 65.20° -35.1% GDELT news, Wikipedia 415
Bully 1.07 -10.3% +27.4% +145.2% 200.75° +5.8% GDELT news, Wikipedia, Wikipedia edits 414
Bear Market 1.04 -7.5% -25.1% +29.1% 3.27° -3.5% GDELT news, Wikipedia 414
90s Nostalgia 1.03 +0.4% +1.2% -5.1% 29.34° +5.9% GDELT news, Wikipedia 415
Pro Wrestling 1.03 -2.3% -10.0% +3.4% 3.51° +5.0% GDELT news, Wikipedia 414
Coinbase 1.01 +1.7% +19.4% +25.9% 63.10° -3.8% GDELT news, Wikipedia 415
Game Boy Modding Culture 1.00 +0.1% +3.7% -12.6% 3.24° -25.7% Wikipedia 414
K-Pop 0.99 +1.4% +3.5% +4.9% 2.58° -22.3% GDELT news, Wikipedia 414
Analog 0.97 +1.3% +1.8% -6.5% 3.23° -10.0% GDELT news, Wikipedia, Hacker News 414
Star Wars 0.94 -2.5% -15.7% -21.4% 3.40° +0.9% GDELT news, Wikipedia 415
Snap Specs 0.94 +2.2% -3.4% +27.8% 21.91° +15.8% Wikipedia 414
Pokémon 0.93 +0.4% -14.8% -27.0% 16.15° -1.7% GDELT news, Wikipedia, Hacker News 415
Silver Tsunami 0.93 +6.1% +6.2% -36.7% 2.83° +17.2% GDELT news, Wikipedia 414
Quantum Computing 0.93 -5.5% +16.6% +15.0% 197.17° -1.0% GDELT news, Wikipedia 414
Micro Dramas 0.92 +1.1% -21.6% -5.3% 3.32° +8.7% GDELT news, Wikipedia 414
Wearables 0.89 +2.6% -2.2% -9.0% 2.24° +10.8% GDELT news, Wikipedia, Hacker News 414
Zyns 0.87 +1.7% -2.9% +5.2% 36.41° +0.8% GDELT news, Wikipedia 414
IRL 0.86 +1.2% +7.4% +1.1% 17.99° -6.1% GDELT news, Wikipedia 414
Data Centers 0.86 -3.0% +36.7% +6.7% 4.01° -80.1% GDELT news, Wikipedia, Hacker News 414
Private Credit 0.84 -0.7% -15.8% +17.9% 1.56° -24.5% GDELT news, Wikipedia 415
Cursor 0.82 +1.8% -10.7% -37.1% 37.85° -8.2% Wikipedia 410
Vibe Coding 0.81 -6.3% -28.3% +11.1% 13.67° -6.4% GDELT news, Wikipedia, Hacker News 415
Afrobeats 0.81 +0.6% +12.5% -33.0% 3.15° -9.2% GDELT news, Wikipedia 414
Unemployment 0.79 -3.7% -15.7% -4.0% 9.29° -14.5% GDELT news, Wikipedia, Hacker News 414
Substack 0.78 -7.4% +8.1% -14.0% 6.59° +2.4% GDELT news, Wikipedia, Hacker News 414
Aliens 0.77 -4.8% -6.6% +0.8% 129.71° -6.6% GDELT news, Wikipedia 414
Blind Boxes 0.77 -1.3% -27.6% -13.4% 14.37° -4.8% GDELT news, Wikipedia, Wikipedia edits 414
Eggs 0.77 -1.8% -10.3% -26.6% 1.46° +18.4% GDELT news, Wikipedia 414
Psilocybin 0.76 -4.1% -21.2% -18.9% 3.23° -23.5% GDELT news, Wikipedia 414
Obsession 0.73 -5.7% +105.4% +476.4% 68.47° -14.1% GDELT news, Wikipedia, Wikipedia edits 410
Slop 0.68 -9.3% -39.1% -75.0% 0.96° +1.7% GDELT news, Wikipedia, Hacker News, Wikipedia edits 414
Looksmaxxing 0.66 -2.6% +17.5% -25.2% 1.23° -3.1% GDELT news, Wikipedia 415
Ebola 0.55 -3.5% +0.7% -14.5% 119.75° -0.1% GDELT news, Wikipedia 414
Hantavirus 0.51 +15.7% +20.4% +33.6% 106.29° +0.1% GDELT news, Wikipedia, Hacker News 414
OpenClaw 0.46 -13.6% -64.0% +187.9% 1.23° -4.8% GDELT news, Hacker News 410

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.