Podcasts, Media & Internet Prediction Market
Tick-by-tick trades and L2 order-book depth for 17 Podcasts, Media & Internet series on Kalshi — Rogan guests, Call Her Daddy guests, Tiny Desk, Tonight Show and Kimmel guests, top podcast of the year, Madden/NBA 2K/SI covers, Vogue and Rolling Stone covers, most-searched on Google, Twitch subs. 3,063 series-days covering March 2026 – present; 25.4K trades · $1.8M turnover over the last 30 captured days. Every contract captured co-located with nanosecond venue and receive timestamps — sold as day bundles, €1 per day, bought as a guest with instant download.
Podcasts, Media & Internet on Kalshi
Joe Rogan, Call Her Daddy, Tiny Desk, Fallon and Kimmel guests, top podcasts, magazine and game covers, most-searched people, Twitch and YouTube counts.
Every series below is archived at full feed resolution — each contract file carries every trade print (price, size, side) and Level-2 order-book updates in one normalized, zstd-compressed schema. A series-day bundle holds all contracts of the series for one UTC day.
Most traded Podcasts, Media & Internet series (last 30 days)
Ranked by USD turnover from our own daily statistics — the series a market maker or bot builder should start with.
| # | Series | Venue | Trades (30d) | Turnover (30d) | Days | |
|---|---|---|---|---|---|---|
| 1 | Ariana Grande: Highest daily view count this week | Kalshi | 14,794 | $1.3M | 30 | Buy days |
| 2 | highest daily views in time period | Kalshi | 4,774 | $409.1K | 30 | Buy days |
| 3 | #1 most searched on google | Kalshi | 3,792 | $18.9K | 30 | Buy days |
| 4 | top 5 good search for people | Kalshi | 673 | $5.2K | 30 | Buy days |
| 5 | most searched person on topic | Kalshi | 380 | $2.4K | 30 | Buy days |
| 6 | Runner up top Search on google this year | Kalshi | 324 | $992.1 | 30 | Buy days |
| 7 | WHO WILL GO ON JIMMY KIMMEL | Kalshi | 71 | $756.54 | 30 | Buy days |
| 8 | WHO WILL GO ON JIMMY FALLON THE TONIGHT SHOW | Kalshi | 142 | $673.22 | 30 | Buy days |
| 9 | Rogan guests | Kalshi | 194 | $585.8 | 30 | Buy days |
| 10 | WHO WILL GO ON TINY DESK | Kalshi | 118 | $335.18 | 30 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-10-13. Series without statistics in the window are omitted.
Podcasts, Media & Internet — development since capture
82,867 trades and $4.0M of USD turnover across 14 series since 2026-07-28; busiest single series-day 2026-10-05 with $145.0K, biggest contract KXYTVIEWSHIGH-TAY26SEP-15.6M (2026-08-31, $30.0K).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 14 | 13 | 10,067 | $877.2K | $67.5K | 1,823 | 16.8M | — |
| Sep 2026 | 14 | 30 | 26,510 | $1.6M | $54.9K | 4,603 | 65.3M | +16.9 % |
| Aug 2026 | 14 | 31 | 41,579 | $1.4M | $45.5K | 2,450 | 18.9M | +2290.7 % |
| Jul 2026 | 2 | 4 | 4,711 | $59.0K | $14.7K | — | — | — |
Podcasts, Media & Internet series — trades and USD turnover summed per calendar month (UTC) over every contract, from our own daily statistics of the recorded tick data. Days = captured UTC days; a partial month shows no month-over-month change. Contracts traded and L2 (order-book) updates exist for days captured with the extended statistics.
Podcasts, Media & Internet — turnover by weekday
Mondays are the busiest day at about $87.2K of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $87.2K | 988.2 | 5 | |
| Tuesday | $50.1K | 846.8 | 5 | |
| Wednesday | $75.7K | 968.25 | 4 | |
| Thursday | $26.5K | 557.5 | 4 | |
| Friday | $63.0K | 714.75 | 4 | |
| Saturday | $48.5K | 660 | 4 | |
| Sunday | $54.5K | 1.1K | 4 |
Podcasts, Media & Internet series — average USD turnover and trades per weekday over the captured days of the last 30, from our own daily statistics; weekdays without a captured day show —.
Rising Podcasts, Media & Internet series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | Ariana Grande: Highest daily view count this week | Kalshi | $1.3M | $951.8K | +38.7 % | 14,794 |
| 2 | #1 most searched on google | Kalshi | $18.9K | $24.7K | −23.5 % | 3,792 |
| 3 | highest daily views in time period | Kalshi | $409.1K | $551.7K | −25.9 % | 4,774 |
Growth of average USD turnover per captured day, the 30 days to 2026-10-13 against the 30 days before; series need ≥ 10 captured days in both windows and ≥ $10K of turnover in the current one. From our own daily statistics.
Podcasts, Media & Internet prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 17 Podcasts, Media & Internet series — how much these markets trade day by day, from our own tick capture.
| UTC day | Series with stats | Contracts traded | Trades | Turnover | Buy share | L2 updates |
|---|---|---|---|---|---|---|
| 2026-10-13 | 14 | 207 | 1,057 | $123.5K | 89 % | 1.6M |
| 2026-10-12 | 14 | 154 | 816 | $32.9K | 80 % | 955.0K |
| 2026-10-11 | 14 | 149 | 837 | $26.0K | 85 % | 967.7K |
| 2026-10-10 | 14 | 76 | 363 | $18.5K | 93 % | 1.0M |
| 2026-10-09 | 14 | 105 | 569 | $135.4K | 75 % | 815.0K |
| 2026-10-08 | 14 | 94 | 404 | $11.8K | 85 % | 852.1K |
| 2026-10-07 | 14 | 141 | 626 | $79.0K | 93 % | 770.9K |
| 2026-10-06 | 14 | 127 | 673 | $23.5K | 87 % | 1.0M |
| 2026-10-05 | 14 | 181 | 948 | $146.3K | 97 % | 1.6M |
| 2026-10-04 | 14 | 181 | 1,675 | $145.3K | 97 % | 1.2M |
| 2026-10-03 | 14 | 129 | 510 | $71.1K | 95 % | 1.6M |
| 2026-10-02 | 14 | 129 | 804 | $40.3K | 91 % | 2.3M |
| 2026-10-01 | 14 | 150 | 785 | $23.4K | 91 % | 2.1M |
| 2026-09-30 | 14 | 187 | 1,445 | $98.2K | 96 % | 2.0M |
| 2026-09-29 | 14 | 198 | 916 | $22.5K | 74 % | 1.5M |
| 2026-09-28 | 14 | 215 | 1,175 | $122.9K | 98 % | 1.1M |
| 2026-09-27 | 14 | 88 | 290 | $8.8K | 81 % | 1.5M |
| 2026-09-26 | 14 | 128 | 558 | $73.0K | 98 % | 1.3M |
| 2026-09-25 | 14 | 142 | 493 | $49.4K | 82 % | 735.9K |
| 2026-09-24 | 14 | 109 | 419 | $54.5K | 91 % | 657.6K |
| 2026-09-23 | 14 | 143 | 558 | $26.5K | 96 % | 1.3M |
| 2026-09-22 | 14 | 130 | 677 | $56.6K | 86 % | 1.1M |
| 2026-09-21 | 14 | 242 | 956 | $118.9K | 98 % | 930.7K |
| 2026-09-20 | 14 | 161 | 1,772 | $37.7K | 76 % | 1.7M |
| 2026-09-19 | 14 | 98 | 1,209 | $31.3K | 92 % | 1.6M |
| 2026-09-18 | 14 | 135 | 993 | $27.0K | 64 % | 2.1M |
| 2026-09-17 | 14 | 121 | 622 | $16.5K | 75 % | 1.8M |
| 2026-09-16 | 14 | 221 | 1,244 | $99.2K | 90 % | 5.1M |
| 2026-09-15 | 14 | 126 | 911 | $24.2K | 85 % | 2.9M |
| 2026-09-14 | 14 | 140 | 1,046 | $15.1K | 90 % | 2.7M |
Per UTC day, summed over every Podcasts, Media & Internet series that has statistics for that day, from every trade print of every contract in our tick archive. Trades and USD turnover are exact; contracts traded, buy share and L2 (order-book) updates exist for days captured with the extended statistics — earlier days show —.
Most traded Podcasts, Media & Internet contracts on 2026-10-13
The single event contracts with the most USD turnover on the newest captured day — with open and close price and the outcome implied by the last print.
Single contracts ranked by USD turnover on 2026-10-13 (UTC), from every trade print in our tick archive. Prices quote 0..1; the implied outcome reads the last print of the day (≥ 0.97 Yes/Up, ≤ 0.03 No/Down) — venues publish the official result. Each contract’s day file is sold individually, the whole series day as a bundle.
Kalshi Podcasts, Media & Internet series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
Why buy Podcasts, Media & Internet prediction-market data here
Four things every page on this site is built on — and the reason the numbers above exist at all.
We record everything
The complete public feed of each venue as it was published: every Level-2 snapshot and update at the venue's full book depth, every trade with its aggressor side, every quote, funding, mark-price and liquidation event — for every instrument the venue lists, every UTC day since we added the venue. Nothing sampled, no top-N cut, no on-demand capture.
Institutional grade
Captured co-located at the venue with the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain that makes any gap visible, and one normalized schema across 35+ venues — the same capture our own high-frequency trading engine and enterprise feeds run on.
€1 per instrument-day
Any instrument-day is €1, series-day bundles start at €1 — no subscription, no minimum order, no tiers to unlock. Credit packs lower the effective price and never expire, and every venue has free full-day samples to test against first.
Self-service for everyone
Pick the days in the Data Shop, pay by card as a guest and download immediately — no sales call, no enterprise contract, no KYC. Coding agents buy the same files through the MCP server, and the free Agent Skill teaches them the format.
Agents: /llms.txt · MCP server /mcp · every page as markdown via Accept: text/markdown
Podcasts, Media & Internet prediction-market data — FAQ
Which media markets are covered?
Guest series for The Joe Rogan Experience, Call Her Daddy, Tiny Desk, The Tonight Show, Jimmy Kimmel Live, TBPN and Up Only; top podcast of the year; magazine and game covers (Sports Illustrated, Vogue, Rolling Stone, Madden, NBA 2K); most-searched-person and Google Trends rank lists; Twitch subscriber and YouTube view counts.
How is this data sold?
One purchase covers every contract of the series for one UTC day — every trade print and the complete Level-2 book per contract, captured co-located with nanosecond timestamps — €1 per series-day, bought as a guest with instant download.
How far back does the Podcasts, Media & Internet data go?
Coverage runs March 2026 – present — 3,063 series-days across 17 series on Kalshi. Each series page lists its exact span.
Can I get Podcasts, Media & Internet prediction-market data as CSV or Parquet?
Yes — trades export as gzipped CSV or Parquet at no extra cost, with integer microsecond UTC timestamps that load straight into pandas, polars or DuckDB. Kalshi records full order-book depth without a separate BBO stream, so book data ships in the native tick file — the free reader script converts it locally. See the formats overview.
How much does Podcasts, Media & Internet prediction-market data cost?
€1 per series-day bundle — every contract of the series for that UTC day — no subscription, no minimum order. Pick days in the shop calendar, pay as a guest, download immediately.
Do I need an account or a sales call?
No. Pick the Podcasts, Media & Internet series-days in the Data Shop, pay by card as a guest and download immediately — no subscription, no minimum order, no KYC, no enterprise contract, no sales call. Coding agents buy the same bundles through the MCP server.
How is the Podcasts, Media & Internet data captured?
Co-located at the venue, message by message: every Level-2 update and every trade print carries the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain makes any gap visible, and one normalized schema across 35+ venues means a parser written for Binance reads these files unchanged. It is the same capture our own high-frequency trading engine runs on — nothing sampled, no top-N cut.
What was the busiest Podcasts, Media & Internet trading day?
2026-10-05 — $145.0K of USD turnover over 741 trades in a single series-day. Since our statistics began on 2026-07-28, 14 Podcasts, Media & Internet series recorded 82,867 trades and $4.0M in total; the biggest single contract was KXYTVIEWSHIGH-TAY26SEP-15.6M on 2026-08-31 at $30.0K. Mondays are the busiest weekday at about $87.2K per day.