Politics Prediction Market Data
Tick-by-tick trades and L2 order-book depth for 193 politics series on Kalshi & OG.com & Polymarket — midterm margins of victory, House races, primary vote shares. 37,805 series-days covering November 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 politics data by topic
Each topic hub lists its series per venue with 30-day activity (to 2026-11-13), coverage and FAQ.
All politics 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.
Politics activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 188 | 132 | 1,733,281 | $81.4M |
| Polymarket | 4 | 4 | 315,560 | $9.4M |
| OG.com | 1 | 1 | 192,216 | $5.8M |
30 days to 2026-11-13, from our own daily statistics per contract.
Politics — development since capture
5,737,461 trades and $147.3M of USD turnover across 171 politics series since 2026-07-08; busiest single series-day 2026-11-04 with $6.8M, biggest contract KXGOVFLNOMR-26-BD (2026-08-18, $4.0M).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Nov 2026 (month to date) | 131 | 13 | 1,520,956 | $67.4M | $5.2M | 53,821 | 2.1B | — |
| Oct 2026 | 147 | 31 | 1,116,986 | $37.6M | $1.2M | 105,328 | 3.8B | +301.9 % |
| Sep 2026 | 153 | 30 | 1,622,626 | $9.4M | $311.7K | 65,145 | 2.3B | −70.6 % |
| Aug 2026 | 126 | 31 | 1,443,333 | $31.8M | $1.0M | 34,913 | 991.4M | +2625.3 % |
| Jul 2026 | 9 | 24 | 33,560 | $1.2M | $48.6K | — | — | — |
Politics 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.
Politics — turnover by weekday
Wednesdays are the busiest day at about $7.6M of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $2.2M | 52.0K | 4 | |
| Tuesday | $4.1M | 108.9K | 4 | |
| Wednesday | $7.6M | 193.7K | 4 | |
| Thursday | $2.6M | 51.2K | 5 | |
| Friday | $2.1M | 46.1K | 5 | |
| Saturday | $1.7M | 37.6K | 4 | |
| Sunday | $2.7M | 46.5K | 4 |
Politics 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 politics series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | Who will win the next Senate Democratic Leader election? | Kalshi | $2.1M | $4.1K | +51844.4 % | 20,135 |
| 2 | Who will leave the Trump administration | Kalshi | $3.9M | $76.1K | +5072.9 % | 57,838 |
| 3 | Voter turnout in the national House popular vote? | Kalshi | $70.6K | $2.0K | +3385.3 % | 4,590 |
| 4 | Popular vote margin of victory | Kalshi | $77.9K | $2.8K | +2694.5 % | 2,652 |
| 5 | Who will be the Prime Minister of Israel after their election? | Kalshi | $2.6M | $108.8K | +2255.6 % | 83,860 |
| 6 | Republican senate seats | Kalshi | $2.4M | $106.5K | +2116.3 % | 63,814 |
| 7 | Democratic House seats (Directional) | Kalshi | $126.9K | $4.8K | +1934.9 % | 1,930 |
| 8 | State legislature winners | Kalshi | $1.0M | $53.3K | +1860.5 % | 15,470 |
| 9 | Midterm margin of victory | Kalshi | $17.3M | $887.0K | +1845.4 % | 363,231 |
| 10 | Which state ballot measures will pass? | Kalshi | $260.2K | $16.6K | +1470.2 % | 8,802 |
Growth of average USD turnover per captured day, the 30 days to 2026-11-13 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.
Politics prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 193 politics series, from our own tick capture.
| UTC day | Series with stats | Contracts traded | Trades | Turnover | Buy share | L2 updates |
|---|---|---|---|---|---|---|
| 2026-11-13 | 122 | 2,001 | 29,570 | $1.6M | 53 % | 118.9M |
| 2026-11-12 | 122 | 1,934 | 27,954 | $1.5M | 77 % | 127.6M |
| 2026-11-11 | 122 | 1,969 | 30,186 | $1.4M | 52 % | 149.8M |
| 2026-11-10 | 122 | 2,193 | 42,123 | $2.1M | 58 % | 152.8M |
| 2026-11-09 | 122 | 2,206 | 35,013 | $1.6M | 56 % | 160.3M |
| 2026-11-08 | 122 | 2,145 | 37,026 | $1.9M | 54 % | 139.3M |
| 2026-11-07 | 121 | 2,239 | 40,603 | $2.6M | 55 % | 144.5M |
| 2026-11-06 | 121 | 2,965 | 70,402 | $4.6M | 67 % | 170.7M |
| 2026-11-05 | 122 | 4,757 | 103,676 | $7.0M | 71 % | 169.8M |
| 2026-11-04 | 126 | 11,927 | 653,972 | $25.5M | 61 % | 285.5M |
| 2026-11-03 | 130 | 8,130 | 288,151 | $11.1M | 68 % | 163.0M |
| 2026-11-02 | 131 | 6,261 | 102,798 | $4.5M | 62 % | 169.7M |
| 2026-11-01 | 131 | 5,094 | 59,482 | $2.0M | 59 % | 158.7M |
| 2026-10-31 | 131 | 4,959 | 60,243 | $2.3M | 58 % | 136.5M |
| 2026-10-30 | 131 | 5,242 | 67,762 | $2.0M | 64 % | 141.5M |
| 2026-10-29 | 132 | 5,197 | 58,700 | $2.1M | 52 % | 125.5M |
| 2026-10-28 | 132 | 4,735 | 58,560 | $2.1M | 59 % | 139.9M |
| 2026-10-27 | 132 | 4,840 | 77,101 | $2.2M | 61 % | 147.1M |
| 2026-10-26 | 132 | 4,954 | 47,267 | $2.1M | 58 % | 152.8M |
| 2026-10-25 | 132 | 4,122 | 69,995 | $6.3M | 59 % | 146.0M |
| 2026-10-24 | 133 | 3,578 | 30,216 | $1.1M | 62 % | 127.6M |
| 2026-10-23 | 133 | 3,699 | 37,060 | $1.5M | 62 % | 129.5M |
| 2026-10-22 | 134 | 4,188 | 40,993 | $1.5M | 54 % | 141.9M |
| 2026-10-21 | 135 | 3,383 | 32,006 | $1.3M | 64 % | 125.5M |
| 2026-10-20 | 136 | 3,243 | 28,294 | $1.1M | 60 % | 134.8M |
| 2026-10-19 | 136 | 3,234 | 23,058 | $806.9K | 65 % | 123.4M |
| 2026-10-18 | 136 | 2,614 | 19,446 | $505.0K | 63 % | 120.9M |
| 2026-10-17 | 136 | 2,394 | 19,377 | $605.1K | 58 % | 96.8M |
| 2026-10-16 | 136 | 3,038 | 25,585 | $877.4K | 63 % | 140.5M |
| 2026-10-15 | 135 | 3,314 | 24,438 | $795.3K | 58 % | 125.4M |
Per UTC day, summed over every politics 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 politics contracts on 2026-11-13
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.
Single contracts ranked by USD turnover on 2026-11-13 (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.
Why buy politics 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, 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. Where a venue offers more than one order-book feed, we take the one with the lowest latency, at the depth that feed carries. Nothing sampled, 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 free full-day samples from the major venues let you test 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
Politics prediction-market data — FAQ
What politics prediction-market data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of 193 politics series on Kalshi & OG.com & Polymarket — midterm margins of victory, House races, primary vote shares. Each series page lists its exact coverage and day count.
How far back does the politics data go?
Coverage runs November 2025 – present — 37,805 series-days in total across the category.
Is every politics contract included?
Yes — every contract of every listed series, every UTC day since we added the venue; nothing is sampled. The tables on this page show the largest series, the archive holds all of them.
How is the politics 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.
Why are politics turnover figures small compared with sports?
Election contracts trade for weeks or months and thinly; the value of the archive is the long order-book history per race — quotes that move on news — not the trade tape. Every day bundle records the Level-2 book of every contract of the series.
Are non-US elections covered?
Yes — the world elections hub lists the families outside the United States that the venues have listed.
Do I need an account or a sales call?
No. Pick the politics 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 politics 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.
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.
How is politics turnover split between venues?
Over the 30 days to 2026-11-13: Kalshi $81.4M (84 %, 1,733,281 trades) · Polymarket $9.4M (10 %, 315,560 trades) · OG.com $5.8M (6 %, 192,216 trades) — summed from every trade print of every politics series with statistics on each venue.
What was the busiest politics trading day?
2026-11-04 — $6.8M of USD turnover over 142,579 trades in a single series-day. Since our statistics began on 2026-07-08, 171 politics series recorded 5,737,461 trades and $147.3M in total; the biggest single contract was KXGOVFLNOMR-26-BD on 2026-08-18 at $4.0M. Wednesdays are the busiest weekday at about $7.6M per day.