Weekly Wikipedia pageviews for Kalshi, Polymarket and PredictIt

Prediction Market Attention Index: Wikipedia Pageviews for Kalshi, Polymarket and PredictIt

Kalshi’s Wikipedia page drew 17,087 views in the last 7 days, against 10,702 for Polymarket.

A simple public measure of attention: how many people open each platform’s English Wikipedia article. Daily counts since January 2025, with weekly averages charted.

Source: Wikimedia pageviews API (CC0); human traffic only. Latest full day: Oct 14, 2026. Updated daily. Checked Oct 15, 2026, 7:50 AM ET.

By Arthur Angelo, PredictionScout Research · Updated Oct 15, 2026, 7:50 AM ET

17,087Kalshi pageviews, last 7 days
10,702Polymarket pageviews, last 7 days
1.60Kalshi views per Polymarket view
32,051all four pages, last 7 days

Key findings

  • Last 7 days (through Oct 14, 2026): Kalshi 17,087 views, Polymarket 10,702, PredictIt 312, “Prediction market” 3,950.
  • Versus four weeks earlier. Kalshi +7%, Polymarket -13%, PredictIt +1%, Prediction market -4%. Versus the same week a year earlier: Kalshi +83%, Polymarket -69%, PredictIt -47%.
  • Busiest days since January 2025. Kalshi: 40,767 views on Dec 4, 2025; Polymarket: 20,675 views on Dec 1, 2025; PredictIt: 370 views on Dec 4, 2025; Prediction market: 6,687 views on Aug 6, 2026. Pageviews show how many people opened an article, not why.

Average daily pageviews, by week

Average daily English Wikipedia views, weeklyLine chart of weekly average daily views for the Kalshi, Polymarket and PredictIt articles.05,00010K15K20K25KDec 30, 24Mar 31, 25Jun 30, 25Sep 29, 25Dec 29, 25Mar 30, 26Jun 29, 26Sep 28, 26Oct 5, 26KalshiPolymarketPredictItAverage daily viewsWikimedia pageviews (CC0)
Average daily views of each English Wikipedia article, by week since January 2025 (user traffic, desktop and mobile). Weeks start on Monday.

Share of the four pages

Share of Wikipedia views among Kalshi, Polymarket and PredictItShare of Wikipedia views among Kalshi, Polymarket and PredictIt020406080100Jan 25: 27.0Feb 25: 24.4Mar 25: 17.9Apr 25: 19.7May 25: 20.7Jun 25: 30.0Jul 25: 32.2Aug 25: 33.3Sep 25: 41.3Oct 25: 36.6Nov 25: 39.5Dec 25: 72.5Jan 26: 34.8Feb 26: 42.0Mar 26: 39.2Apr 26: 33.3May 26: 34.4Jun 26: 45.9Jul 26: 55.0Aug 26: 60.1Sep 26: 58.2Oct 26: 57.4Jan 25: 69.2Feb 25: 71.4Mar 25: 78.1Apr 25: 76.1May 25: 76.6Jun 25: 67.2Jul 25: 65.0Aug 25: 63.4Sep 25: 55.7Oct 25: 61.7Nov 25: 58.1Dec 25: 26.4Jan 26: 63.7Feb 26: 56.5Mar 26: 59.4Apr 26: 65.5May 26: 64.0Jun 26: 53.0Jul 26: 43.9Aug 26: 38.9Sep 26: 40.8Oct 26: 41.6Jan 25: 3.7Feb 25: 4.2Mar 25: 4.0Apr 25: 4.1May 25: 2.7Jun 25: 2.8Jul 25: 2.8Aug 25: 3.3Sep 25: 3.0Oct 25: 1.7Nov 25: 2.4Dec 25: 1.1Jan 26: 1.5Feb 26: 1.5Mar 26: 1.3Apr 26: 1.2May 26: 1.6Jun 26: 1.2Jul 26: 1.1Aug 26: 1.1Sep 26: 1.1Oct 26: 1.0Jan 25Apr 25Jul 25Oct 25Jan 26Apr 26Jul 26Oct 26KalshiPolymarketPredictItShare of the three platform pages, %Wikimedia pageviews (CC0)
Each page’s share of combined weekly views of the four articles, by month.

Last 21 days

DateKalshiPolymarketPredictItPrediction market
Oct 14, 20262,6701,44862509
Oct 13, 20262,6281,49859569
Oct 12, 20262,5192,09642593
Oct 11, 20262,2431,20940472
Oct 10, 20261,9841,25235450
Oct 9, 20262,0931,47032640
Oct 8, 20262,9501,72942717
Oct 7, 20262,4671,83442560
Oct 6, 20262,3201,84454506
Oct 5, 20262,5502,28149692
Oct 4, 20262,4002,86728656
Oct 3, 20262,1271,83631554
Oct 2, 20262,0371,33448550
Oct 1, 20262,2151,34042472
Sep 30, 20262,2601,50048549
Sep 29, 20262,0701,47246522
Sep 28, 20262,3081,59441479
Sep 27, 20262,2051,41931411
Sep 26, 20262,3671,52938518
Sep 25, 20263,4441,90754633
Sep 24, 20263,3722,71664594

Download the data

Daily Wikipedia pageviews (CSV)

One row per day since January 2025; counts are human (user) views. Free to reuse under CC BY 4.0 with a link back to this page.

Embed this chart

Methodology

  • Data. Wikimedia Foundation pageviews REST API, per-article daily counts on en.wikipedia.org, access = all, agent = user (automated traffic excluded). Wikimedia data is released under CC0. Articles: Kalshi, Polymarket, PredictIt and Prediction market.
  • Limits. Wikipedia views are one signal of attention and are affected by search-engine placement, news links and article edits. They do not measure trading, users or interest on other sites. Counts for the latest day can be revised slightly.
  • Compare with trading data on the statistics page and app rankings on the app store tracker.

Cite this research

Suggested citation: PredictionScout. (2026, October 15). Prediction Market Attention Index: Wikipedia Pageviews for Kalshi, Polymarket and PredictIt. https://predictionscout.com/research/prediction-market-attention-index/

For a chart or news story: “Source: PredictionScout analysis of public exchange data (https://predictionscout.com/research/prediction-market-attention-index/)”

The data and charts on this page are free to reuse under CC BY 4.0 with a link back to this page.

Data sources: prices and volumes come from the public APIs of Kalshi and Polymarket, the Wikimedia Foundation. All trademarks belong to their owners. PredictionScout is independent and not affiliated with any exchange. Nothing here is investment, betting, or legal advice.