Culture Prediction Data — Kalshi & Polymarket
Tick-by-tick trades and L2 order-book depth for 211 culture series on Kalshi & Polymarket — Elon Musk tweet counts, Rotten Tomatoes scores, “what will Trump say?”. 31,823 series-days covering September 2025 – present, every contract of every series captured co-located with nanosecond venue and receive timestamps — sold as day bundles, €1 per day, bought as a guest with instant download.
Browse culture data by topic
Each topic hub lists its series per venue with 30-day activity (to 2026-10-03), coverage and FAQ.
All culture series
Every live series in this topic, largest archive first. Each series page lists its exact coverage, day count and free samples; day bundles are bought in the shop calendar.
Culture activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 210 | 149 | 898,280 | $19.9M |
| Polymarket | 1 | 1 | 233,907 | $4.3M |
30 days to 2026-10-03, from our own daily statistics per contract.
Culture — development since capture
4,058,085 trades and $86.8M of USD turnover across 165 culture series since 2026-07-08; busiest single series-day 2026-07-19 with $3.5M, biggest contract KXTRUMPMENTION-26AUG11-NEGO (2026-08-11, $434.9K).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 134 | 3 | 156,101 | $3.1M | $1.0M | 4,211 | 80.6M | — |
| Sep 2026 | 151 | 30 | 1,066,639 | $23.4M | $780.6K | 43,412 | 583.1M | −11.0 % |
| Aug 2026 | 152 | 31 | 1,211,735 | $26.3M | $849.2K | 29,822 | 299.3M | — |
| Jul 2026 | 38 | 24 | 1,623,610 | $33.9M | $1.4M | — | — | — |
Culture 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.
Culture — turnover by weekday
Mondays are the busiest day at about $983.0K of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $983.0K | 43.6K | 4 | |
| Tuesday | $933.5K | 39.9K | 4 | |
| Wednesday | $781.4K | 36.0K | 4 | |
| Thursday | $947.7K | 48.4K | 4 | |
| Friday | $770.4K | 38.7K | 5 | |
| Saturday | $628.6K | 27.6K | 5 | |
| Sunday | $636.2K | 32.2K | 4 |
Culture 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 culture series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | what will the price of art be? | Kalshi | $14.2K | $567.28 | +2064.0 % | 371 |
| 2 | Fed mention | Kalshi | $234.9K | $13.9K | +1367.6 % | 15,577 |
| 3 | Emmys Award for Comedy Series | Kalshi | $92.3K | $16.1K | +1138.0 % | 4,052 |
| 4 | Emmys Award for Drama Series | Kalshi | $62.0K | $13.0K | +935.4 % | 3,217 |
| 5 | Emmy Award for Drama Supporting Actress | Kalshi | $20.0K | $5.5K | +695.7 % | 926 |
| 6 | Who will headline super bowl LX | Kalshi | $64.9K | $9.3K | +596.2 % | 6,487 |
| 7 | who will win VMA award | Kalshi | $455.2K | $45.6K | +579.4 % | 50,248 |
| 8 | Sexiest Man Alive | Kalshi | $11.9K | $1.6K | +549.1 % | 1,611 |
| 9 | Trump Nickname | Kalshi | $134.8K | $18.4K | +534.7 % | 9,645 |
| 10 | Big Brother Rank | Kalshi | $201.6K | $30.1K | +500.2 % | 22,520 |
Growth of average USD turnover per captured day, the 30 days to 2026-10-03 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.
Culture prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 211 culture series, from our own tick capture.
| UTC day | Series with stats | Contracts traded | Trades | Turnover | Buy share | L2 updates |
|---|---|---|---|---|---|---|
| 2026-10-03 | 131 | 1,356 | 43,724 | $811.1K | 51 % | 20.9M |
| 2026-10-02 | 133 | 1,403 | 59,915 | $1.3M | 56 % | 26.5M |
| 2026-10-01 | 134 | 1,452 | 52,462 | $1.0M | 62 % | 33.2M |
| 2026-09-30 | 135 | 1,527 | 37,461 | $833.2K | 70 % | 30.3M |
| 2026-09-29 | 135 | 1,540 | 32,114 | $874.3K | 67 % | 29.3M |
| 2026-09-28 | 134 | 1,589 | 52,956 | $1.2M | 65 % | 24.1M |
| 2026-09-27 | 132 | 1,203 | 36,708 | $534.9K | 62 % | 25.5M |
| 2026-09-26 | 132 | 1,245 | 27,670 | $593.0K | 69 % | 19.7M |
| 2026-09-25 | 133 | 1,336 | 33,422 | $641.6K | 56 % | 35.5M |
| 2026-09-24 | 134 | 1,340 | 46,702 | $887.5K | 69 % | 23.6M |
| 2026-09-23 | 134 | 1,545 | 32,880 | $650.6K | 65 % | 24.6M |
| 2026-09-22 | 133 | 1,457 | 56,401 | $1.4M | 52 % | 25.0M |
| 2026-09-21 | 136 | 1,643 | 48,066 | $1.1M | 57 % | 29.4M |
| 2026-09-20 | 135 | 1,411 | 33,547 | $675.2K | 47 % | 14.1M |
| 2026-09-19 | 134 | 1,245 | 24,634 | $650.2K | 57 % | 14.0M |
| 2026-09-18 | 137 | 1,188 | 34,547 | $779.6K | 57 % | 17.8M |
| 2026-09-17 | 137 | 1,303 | 36,576 | $872.3K | 43 % | 16.7M |
| 2026-09-16 | 136 | 1,479 | 42,498 | $1.1M | 61 % | 19.3M |
| 2026-09-15 | 142 | 1,487 | 35,378 | $714.1K | 61 % | 18.1M |
| 2026-09-14 | 143 | 1,648 | 44,174 | $655.7K | 60 % | 22.8M |
| 2026-09-13 | 143 | 1,440 | 28,408 | $489.2K | 61 % | 12.2M |
| 2026-09-12 | 145 | 1,248 | 20,846 | $446.6K | 70 % | 11.4M |
| 2026-09-11 | 146 | 1,415 | 39,515 | $580.3K | 55 % | 14.2M |
| 2026-09-10 | 146 | 1,453 | 57,877 | $1.0M | 55 % | 19.4M |
| 2026-09-09 | 145 | 1,444 | 31,311 | $527.0K | 54 % | 18.7M |
| 2026-09-08 | 145 | 1,546 | 35,771 | $705.9K | 61 % | 19.9M |
| 2026-09-07 | 145 | 1,477 | 29,331 | $921.6K | 43 % | 14.4M |
| 2026-09-06 | 145 | 1,659 | 30,078 | $845.5K | 42 % | 13.9M |
| 2026-09-05 | 145 | 1,300 | 21,029 | $642.3K | 51 % | 11.7M |
| 2026-09-04 | 145 | 1,548 | 26,186 | $547.3K | 60 % | 13.8M |
Per UTC day, summed over every culture 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 culture contracts on 2026-10-03
The single event contracts with the most USD turnover on the newest captured day — open and close price and the outcome implied by the last print.
| Contract | Series | Venue | Open → Close | Implied outcome | Trades | Turnover | |
|---|---|---|---|---|---|---|---|
| elon-musk-of-tweets-october-1-october-3-2026-65-89 | Elon Musk # of Tweets | Polymarket | 0.860 → 0.999 | Yes | 498 | $66.6K | buy file → |
| KXTRUMPMENTION-26OCT03-TRAN | What will Trump say? | Kalshi | 0.970 → 0.950 | open | 384 | $28.5K | buy file → |
| KXTRUMPMENTION-26OCT02-RUSS | What will Trump say? | Kalshi | 0.990 → 0.990 | Yes | 51 | $24.7K | buy file → |
| KXTRUMPMENTION-26OCT02-BARA | What will Trump say? | Kalshi | 0.990 → 0.990 | Yes | 105 | $19.6K | buy file → |
| KXRT-DIG-50 | Rotten Tomatoes Scores | Kalshi | 0.620 → 0.760 | open | 703 | $19.2K | buy file → |
| KXTRUMPMENTION-26OCT02-TRAN | What will Trump say? | Kalshi | 0.940 → 0.990 | Yes | 96 | $17.7K | buy file → |
| KXTRUMPMENTION-26OCT02-SAVE | What will Trump say? | Kalshi | 0.900 → 0.990 | Yes | 319 | $15.4K | buy file → |
| KXTRUMPMENTION-26OCT03-DATA | What will Trump say? | Kalshi | 0.310 → 0.520 | open | 1,393 | $15.3K | buy file → |
| KXTRUMPMENTION-26OCT02-GULF | What will Trump say? | Kalshi | 0.700 → 0.990 | Yes | 147 | $15.2K | buy file → |
| KXRT-DIG-48 | Rotten Tomatoes Scores | Kalshi | 0.980 → 0.980 | Yes | 184 | $13.6K | buy file → |
Single contracts ranked by USD turnover on 2026-10-03 (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.
Why buy culture 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.
Culture prediction-market data — FAQ
What culture prediction-market data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of 211 culture series on Kalshi & Polymarket — Elon Musk tweet counts, Rotten Tomatoes scores, “what will Trump say?”. Each series page lists its exact coverage and day count.
How far back does the culture data go?
Coverage runs September 2025 – present — 31,823 series-days in total across the category.
Is every culture contract included?
Yes — every contract of every listed series, every UTC day since we added the venue, at full order-book depth; nothing is sampled or cut to a top-N. The tables on this page show the largest series, the archive holds all of them.
How is the culture data sold?
As series-day bundles: one purchase covers every contract of a series for one UTC day, €1 — no subscription, no minimum. Pick days in the shop calendar; delivery is per file, one ZIP per day, or a resumable multi-day archive.
Do I need an account or a sales call?
No. Pick the culture 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 culture 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 format do the files ship in?
One zstd-compressed text file per contract per UTC day, in the same documented schema as every crypto venue; trades also export as gzipped CSV or Parquet at no extra cost. Free samples are on the downloads page, the schema in the market-data specification.
What was the busiest culture trading day?
2026-07-19 — $3.5M of USD turnover over 114,091 trades in a single series-day. Since our statistics began on 2026-07-08, 165 culture series recorded 4,058,085 trades and $86.8M in total; the biggest single contract was KXTRUMPMENTION-26AUG11-NEGO on 2026-08-11 at $434.9K. Mondays are the busiest weekday at about $983.0K per day.