Podcasts, Media & Internet Prediction Market
Tick-by-tick trades and L2 order-book depth for 21 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. 3,925 series-days covering March 2026 – present; 28.2K trades · $2.6M 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 | 19,184 | $2.3M | 30 | Buy days |
| 2 | highest daily views in time period | Kalshi | 3,005 | $264.0K | 30 | Buy days |
| 3 | #1 most searched on google | Kalshi | 3,550 | $22.0K | 30 | Buy days |
| 4 | top 5 good search for people | Kalshi | 821 | $9.8K | 30 | Buy days |
| 5 | Rolling Stone cover this year | Kalshi | 174 | $2.3K | 30 | Buy days |
| 6 | WHO WILL GO ON TINY DESK | Kalshi | 157 | $1.6K | 30 | Buy days |
| 7 | most searched person on topic | Kalshi | 361 | $1.5K | 30 | Buy days |
| 8 | Rogan guests | Kalshi | 351 | $976.32 | 30 | Buy days |
| 9 | WHO WILL GO ON JIMMY KIMMEL | Kalshi | 53 | $729.16 | 30 | Buy days |
| 10 | Runner up top Search on google this year | Kalshi | 242 | $650.82 | 30 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-11-02. Series without statistics in the window are omitted.
Podcasts, Media & Internet — development since capture
103,161 trades and $5.9M of USD turnover across 18 series since 2026-07-28; busiest single series-day 2026-10-28 with $367.2K, biggest contract KXYTVIEWSW-TAY26OCT18-13.0M (2026-10-20, $44.0K).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Nov 2026 (month to date) | 17 | 2 | 2,495 | $156.5K | $78.2K | 456 | 2.1M | — |
| Oct 2026 | 17 | 31 | 27,826 | $2.6M | $84.1K | 4,640 | 41.9M | +58.1 % |
| Sep 2026 | 18 | 30 | 26,550 | $1.6M | $54.9K | 4,628 | 65.4M | +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
Wednesdays are the busiest day at about $167.0K of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $63.8K | 1.2K | 5 | |
| Tuesday | $151.7K | 1.1K | 4 | |
| Wednesday | $167.0K | 920.75 | 4 | |
| Thursday | $38.3K | 564.5 | 4 | |
| Friday | $92.9K | 629.25 | 4 | |
| Saturday | $22.2K | 684.5 | 4 | |
| Sunday | $84.0K | 1.4K | 5 |
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 | $2.3M | $991.8K | +134.1 % | 19,184 |
| 2 | #1 most searched on google | Kalshi | $22.0K | $22.8K | −3.7 % | 3,550 |
| 3 | highest daily views in time period | Kalshi | $264.0K | $433.0K | −39.0 % | 3,005 |
Growth of average USD turnover per captured day, the 30 days to 2026-11-02 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 21 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 |
|---|---|---|---|---|---|---|
| 2026-11-02 | 17 | 282 | 1,541 | $72.7K | 88 % | 1.3M |
| 2026-11-01 | 17 | 174 | 954 | $83.8K | 96 % | 798.5K |
| 2026-10-31 | 17 | 111 | 790 | $15.3K | 44 % | 1.3M |
| 2026-10-30 | 17 | 144 | 836 | $177.2K | 95 % | 1.5M |
| 2026-10-29 | 17 | 129 | 750 | $28.4K | 94 % | 1.2M |
| 2026-10-28 | 17 | 239 | 1,357 | $375.0K | 99 % | 1.2M |
| 2026-10-27 | 17 | 268 | 1,529 | $151.7K | 91 % | 2.2M |
| 2026-10-26 | 17 | 166 | 1,230 | $23.3K | 58 % | 1.9M |
| 2026-10-25 | 17 | 196 | 1,991 | $27.0K | 85 % | 1.7M |
| 2026-10-24 | 17 | 130 | 1,130 | $32.4K | 85 % | 783.0K |
| 2026-10-23 | 17 | 81 | 424 | $8.1K | 77 % | 763.2K |
| 2026-10-22 | 17 | 128 | 790 | $98.7K | 96 % | 782.0K |
| 2026-10-21 | 17 | 156 | 1,055 | $158.6K | 97 % | 1.2M |
| 2026-10-20 | 17 | 257 | 1,086 | $308.0K | 88 % | 1.5M |
| 2026-10-19 | 17 | 182 | 1,211 | $43.6K | 94 % | 2.4M |
| 2026-10-18 | 17 | 159 | 1,424 | $137.8K | 18 % | 1.5M |
| 2026-10-17 | 17 | 103 | 449 | $22.6K | 88 % | 1.4M |
| 2026-10-16 | 17 | 117 | 673 | $50.8K | 55 % | 1.5M |
| 2026-10-15 | 17 | 84 | 302 | $14.3K | 90 % | 1.2M |
| 2026-10-14 | 17 | 132 | 645 | $55.3K | 89 % | 1.1M |
| 2026-10-13 | 17 | 211 | 1,067 | $123.6K | 89 % | 1.6M |
| 2026-10-12 | 17 | 157 | 820 | $32.9K | 80 % | 984.1K |
| 2026-10-11 | 17 | 151 | 853 | $26.1K | 85 % | 988.1K |
| 2026-10-10 | 17 | 80 | 369 | $18.5K | 93 % | 1.0M |
| 2026-10-09 | 17 | 109 | 584 | $135.5K | 75 % | 837.8K |
| 2026-10-08 | 17 | 97 | 416 | $11.9K | 85 % | 870.3K |
| 2026-10-07 | 17 | 141 | 626 | $79.0K | 93 % | 780.3K |
| 2026-10-06 | 17 | 130 | 678 | $23.5K | 87 % | 1.1M |
| 2026-10-05 | 17 | 182 | 949 | $146.3K | 97 % | 1.6M |
| 2026-10-04 | 17 | 181 | 1,675 | $145.3K | 97 % | 1.2M |
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 2026-11-02
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 2026-11-02 (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.
Podcasts, Media & Internet — market types across 21 series
6,400 contracts listed as of 2026-11-03, read from each contract's venue identifier — Kalshi lists each type as its own series, Polymarket, predict.fun and OG.com one family per league.
| Market type | Contracts listed (all time) | Listed last 30 days | Share |
|---|---|---|---|
| player & team props | 20 | — | 0 % |
| other | 6,380 | 998 | 100 % |
| Total | 6,400 | 998 | 100 % |
Podcasts, Media & Internet series— market type read from each contract's venue identifier (ticker suffix on Kalshi, slug suffix on Polymarket, market description on predict.fun and OG.com), counted over every contract listed in the family as of 2026-11-03; “listed last 30 days” counts contracts whose venue settlement time falls in that window. Every one of them is in the day bundle of its day.
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 — 3,925 series-days across 21 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.
Which market types are in the Podcasts, Media & Internet data?
As of 2026-11-03 the 21 Podcasts, Media & Internet series with a market-type snapshot had listed 6,400 contracts: player & team props 20 · other 6,380 — counted from every contract file of each family across Kalshi. Kalshi splits these into separate series; Polymarket, predict.fun and OG.com list one family per league. Each series page shows its own mix.
What was the busiest Podcasts, Media & Internet trading day?
2026-10-28 — $367.2K of USD turnover over 1,040 trades in a single series-day. Since our statistics began on 2026-07-28, 18 Podcasts, Media & Internet series recorded 103,161 trades and $5.9M in total; the biggest single contract was KXYTVIEWSW-TAY26OCT18-13.0M on 2026-10-20 at $44.0K. Wednesdays are the busiest weekday at about $167.0K per day.