Bourse
ENPL
Menu
Radar
Pricing

When the crowd
suddenly cares.

Searches for “TICKER stock” and visits to a company’s Wikipedia article jump before many retail-driven moves. Bourse tracks both every day and flags the spikes.

Google“TICKER stock”, U.S.
Wikipediadaily page views
7 days vs 4 weekshow a spike is measured
/v1/attentionin the Bourse API

What you get. In the app.

01Search spikes

Stocks whose Google interest in the last week is far above the previous month.

02Wikipedia attention

Daily views of each company’s article and the biggest jumps.

03Most-read companies

Which companies people read about most right now.

04With WallStreetBets

Combine attention with Reddit mentions and short interest in the app.

How it works. Step by step.

  1. 1Collected

    Google Trends for hundreds of popular tickers and Wikipedia page views for every mapped company.

  2. 2Measured

    The last 7 days are compared with the 4 weeks before; the change is the spike.

  3. 3Shown

    Spikes, most-read companies and per-stock history in the app and the API.

In the data. Ready for your models.

Every record has these fields, in the app and in the Bourse API as JSON or CSV.

tickergoogle_latestgoogle_spike_pctwikipedia_articlewikipedia_views_7dwikipedia_spike_pct
Endpoint documentation
api.bourse.pl
$ curl "https://api.bourse.pl/v1/attention?limit=3" \
    -H "Authorization: Bearer $BOURSE_KEY"

# JSON with fields:
ticker, google_latest, google_spike_pct, wikipedia_article, wikipedia_views_7d …

Questions. Answered.

Is Google Trends data exact?

No, Google gives a relative 0-100 scale, not search counts. That is enough to see spikes, which is what matters here.

Follow the money the day it is filed.

Bourse provides financial data and editorial information, parts of which are generated by AI. This page is for general education only. It is not personalised investment advice or a recommendation to buy or sell any financial instrument. Make your own decisions.