Most Traded Prediction Markets — Kalshi, Polymarket, predict.fun & OG.com
Series ranked by USD turnover over the last 30 captured days, computed from every trade print in our own tick-data archive — not from venue-reported volume. Use it to pick the series worth buying first; each row links to its day bundles.
Most traded series across all venues
By USD turnover over the window; trades counted per contract of the series.
| # | Series | Venue | Trades (30d) | Turnover (30d) | Days | |
|---|---|---|---|---|---|---|
| 1 | BTC Up/Down 15m | Kalshi | 109,732,751 | $4.1B | 30 | Buy days |
| 2 | Professional Football Game | Kalshi | 10,510,109 | $812.1M | 30 | Buy days |
| 3 | College Football Game | Kalshi | 10,367,436 | $676.4M | 30 | Buy days |
| 4 | Challenger ATP | Kalshi | 8,819,753 | $535.4M | 30 | Buy days |
| 5 | Bitcoin price Above/below | Kalshi | 14,408,316 | $480.3M | 30 | Buy days |
| 6 | ATP Tennis Match | Kalshi | 4,709,747 | $414.9M | 30 | Buy days |
| 7 | ITF Women's Match | Kalshi | 10,246,866 | $385.3M | 30 | Buy days |
| 8 | Pro Basketball Game | Kalshi | 5,447,655 | $361.2M | 30 | Buy days |
| 9 | Gold 15-minute | Kalshi | 11,274,096 | $361.2M | 26 | Buy days |
| 10 | WTA Tennis Match | Kalshi | 3,474,004 | $325.3M | 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.
Most traded Kalshi series
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.
Most traded OG.com series
| # | Series | Trades (30d) | Turnover (30d) | Days | |
|---|---|---|---|---|---|
| 1 | College Football (CFB games & props) | 1,273,639 | $255.8M | 28 | Buy days |
| 2 | NFL (games & props) | 717,713 | $48.5M | 28 | Buy days |
| 3 | Tennis (matches & props) | 182,097 | $26.9M | 28 | Buy days |
| 4 | NBA (games & props) | 116,865 | $9.6M | 28 | Buy days |
| 5 | Soccer (all leagues, games & props) | 118,431 | $8.7M | 28 | Buy days |
| 6 | MLB (games & props) | 146,368 | $8.6M | 24 | Buy days |
| 7 | NHL (games & props) | 42,166 | $3.0M | 13 | Buy days |
| 8 | MMA (fights & props) | 18,323 | $904.3K | 22 | Buy days |
| 9 | WNBA (games & props) | 10,332 | $722.9K | 18 | Buy days |
| 10 | Golf (tournaments & props) | 13,365 | $310.0K | 20 | Buy days |
| 11 | Boxing (fights) | 6,066 | $284.4K | 22 | Buy days |
| 12 | Esports (matches) | 1,680 | $170.7K | 11 | Buy days |
| 13 | Politics | 2,327 | $40.1K | 28 | Buy days |
| 14 | Culture & entertainment | 2,867 | $21.3K | 28 | Buy days |
| 15 | Table Tennis (matches) | 377 | $15.0K | 11 | Buy days |
| 16 | Formula 1 (races & qualifying) | 890 | $13.9K | 9 | Buy days |
| 17 | Economics (Fed, ECB, jobs, unemployment) | 540 | $8.4K | 28 | 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.
Most traded Polymarket series
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.
Most traded predict.fun series
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.
Most traded series over the last 90 days
USD turnover summed over every contract of the series in the 90 days to 2026-11-02 — the medium-term ranking behind the 30-day table.
| # | Series | Venue | Trades | Turnover (USD) | Avg / day | Days |
|---|---|---|---|---|---|---|
| 1 | BTC Up/Down 15m | Kalshi | 251,681,889 | $9.5B | $105.5M | 90 |
| 2 | Challenger ATP | Kalshi | 23,613,482 | $1.6B | $18.0M | 90 |
| 3 | ATP Tennis Match | Kalshi | 13,900,606 | $1.5B | $18.4M | 83 |
| 4 | Professional Baseball Game | Kalshi | 18,395,856 | $1.5B | $17.7M | 86 |
| 5 | Professional Football Game | Kalshi | 18,910,365 | $1.5B | $17.5M | 86 |
| 6 | Bitcoin price Above/below | Kalshi | 37,591,903 | $1.5B | $16.6M | 90 |
| 7 | College Football Game | Kalshi | 19,011,237 | $1.3B | $15.1M | 86 |
| 8 | WTA Tennis Match | Kalshi | 10,946,548 | $1.2B | $13.2M | 90 |
| 9 | ITF Women's Match | Kalshi | 22,751,226 | $1.0B | $11.4M | 90 |
| 10 | ITF Men's Match | Kalshi | 20,323,113 | $931.4M | $10.3M | 90 |
| 11 | Gold 15-minute | Kalshi | 25,620,657 | $731.5M | $8.8M | 83 |
| 12 | BTC Up/Down 5m | Polymarket | 38,995,348 | $582.6M | $6.5M | 90 |
| 13 | League of Legends esports | Polymarket | 3,153,154 | $558.1M | $6.2M | 90 |
| 14 | ETH Up/Down 15m | Kalshi | 36,497,565 | $552.3M | $6.1M | 90 |
| 15 | College Football Spread | Kalshi | 7,952,210 | $471.7M | $5.6M | 84 |
| 16 | ATP Tennis (matches & props) | Polymarket | 2,553,097 | $456.6M | $5.1M | 90 |
| 17 | Pro Baseball Total Points | Kalshi | 5,751,573 | $444.8M | $5.2M | 86 |
| 18 | Counter-Strike 2 esports | Polymarket | 3,434,919 | $409.8M | $4.6M | 90 |
| 19 | Challenger WTA | Kalshi | 5,054,594 | $396.0M | $6.5M | 61 |
| 20 | Pro Football Spread | Kalshi | 5,552,187 | $381.5M | $4.2M | 90 |
| 21 | Pro Basketball Game | Kalshi | 5,461,958 | $361.6M | $4.8M | 75 |
| 22 | Dota 2 esports | Polymarket | 1,608,907 | $306.4M | $3.4M | 90 |
| 23 | NFL (games & props) | Polymarket | 748,070 | $301.8M | $3.5M | 86 |
| 24 | MLB (games & props) | Polymarket | 1,493,890 | $283.8M | $3.3M | 86 |
| 25 | XRP Up/Down 15m | Kalshi | 24,084,588 | $268.0M | $3.0M | 90 |
Trades and USD turnover summed over every contract of the series across its captured days in the window, from our own daily statistics of the recorded tick data. Series without statistics are omitted.
Most traded series since our statistics began (2026-07-08)
1,118,082,256 trades and $45.6B across 2,382 series in total; every row is the lifetime sum of one series.
| # | Series | Venue | Trades | Turnover (USD) | Avg / day | Days |
|---|---|---|---|---|---|---|
| 1 | BTC Up/Down 15m | Kalshi | 265,386,972 | $10.0B | $84.5M | 118 |
| 2 | Professional Baseball Game | Kalshi | 26,936,054 | $2.4B | $20.9M | 114 |
| 3 | Challenger ATP | Kalshi | 29,796,355 | $2.1B | $18.0M | 118 |
| 4 | ATP Tennis Match | Kalshi | 17,304,905 | $1.9B | $17.5M | 111 |
| 5 | Bitcoin price Above/below | Kalshi | 46,170,066 | $1.9B | $16.3M | 118 |
| 6 | Professional Football Game | Kalshi | 18,910,365 | $1.5B | $17.5M | 86 |
| 7 | ITF Women's Match | Kalshi | 30,263,527 | $1.5B | $12.6M | 118 |
| 8 | ITF Men's Match | Kalshi | 29,896,391 | $1.5B | $12.6M | 118 |
| 9 | WTA Tennis Match | Kalshi | 13,474,617 | $1.5B | $12.5M | 118 |
| 10 | College Football Game | Kalshi | 19,011,237 | $1.3B | $15.1M | 86 |
| 11 | BTC Up/Down 5m | Polymarket | 54,982,964 | $838.3M | $7.1M | 118 |
| 12 | Gold 15-minute | Kalshi | 25,639,781 | $731.8M | $8.3M | 88 |
| 13 | Pro Baseball Total Points | Kalshi | 8,966,304 | $673.5M | $5.9M | 114 |
| 14 | ETH Up/Down 15m | Kalshi | 38,619,942 | $585.0M | $5.0M | 118 |
| 15 | League of Legends esports | Polymarket | 3,289,227 | $580.9M | $4.9M | 118 |
| 16 | College Football Spread | Kalshi | 7,952,210 | $471.7M | $5.6M | 84 |
| 17 | ATP Tennis (matches & props) | Polymarket | 2,625,417 | $462.9M | $3.9M | 118 |
| 18 | Counter-Strike 2 esports | Polymarket | 3,523,106 | $416.6M | $3.5M | 118 |
| 19 | Challenger WTA | Kalshi | 5,054,594 | $396.0M | $6.5M | 61 |
| 20 | Pro Football Spread | Kalshi | 5,552,658 | $381.5M | $4.1M | 94 |
| 21 | Pro Basketball Game | Kalshi | 5,461,958 | $361.6M | $4.8M | 75 |
| 22 | Pro Baseball Spread | Kalshi | 4,961,970 | $331.0M | $2.9M | 114 |
| 23 | MLB (games & props) | Polymarket | 1,727,940 | $323.9M | $2.8M | 114 |
| 24 | Dota 2 esports | Polymarket | 1,693,123 | $318.7M | $2.7M | 118 |
| 25 | NFL (games & props) | Polymarket | 748,070 | $301.8M | $3.5M | 86 |
Trades and USD turnover summed over every contract of the series across its captured days in the window, from our own daily statistics of the recorded tick data. Series without statistics are omitted.
Rising series — fastest-growing turnover
Average daily USD turnover of the current 30 days against the 30 days before.
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | Pro Football Player's Highest Scoring Fantasy Performance | Kalshi | $18.5K | $0.69 | +1072438.0 % | 1,668 |
| 2 | Managers Out | Kalshi | $45.3K | $11.04 | +410472.7 % | 1,332 |
| 3 | Pro Football All-Pro Teams | Kalshi | $39.3K | $25.55 | +153699.6 % | 935 |
| 4 | NBA (games & props) | Polymarket | $196.1M | $183.3K | +106909.6 % | 1,036,863 |
| 5 | Pro Basketball Game | Kalshi | $361.2M | $349.7K | +103199.0 % | 5,447,655 |
| 6 | College Basketball AP Poll Top Rank | Kalshi | $22.0K | $49.78 | +44125.4 % | 710 |
| 7 | College Football Award Finalists | Kalshi | $90.8K | $159.03 | +22741.1 % | 2,849 |
| 8 | UEFA Europa Conference League | Polymarket | $4.0M | $33.5K | +11781.1 % | 60,568 |
| 9 | State legislature winners | Kalshi | $424.8K | $4.5K | +9320.1 % | 4,829 |
| 10 | Who is the Next NBA Coach of Team | Kalshi | $59.1K | $1.1K | +9310.4 % | 65 |
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.
The biggest single series-days in the archive
The ten largest (series, UTC day) pairs by USD turnover since our statistics began — each one is a downloadable bundle.
| # | UTC day | Series | Venue | Turnover (USD) | Trades | |
|---|---|---|---|---|---|---|
| 1 | 2026-10-30 | BTC Up/Down 15m | Kalshi | $167.5M | 4,031,824 | Buy day |
| 2 | 2026-10-11 | Professional Football Game | Kalshi | $112.7M | 1,432,156 | Buy day |
| 3 | 2026-10-10 | College Football Game | Kalshi | $104.1M | 1,439,849 | Buy day |
| 4 | 2026-10-10 | College Football (CFB games & props) | OG.com | $66.3M | 318,025 | Buy day |
| 5 | 2026-08-31 | ATP Tennis Match | Kalshi | $64.1M | 458,870 | Buy day |
| 6 | 2026-07-29 | Professional Baseball Game | Kalshi | $59.3M | 576,079 | Buy day |
| 7 | 2026-09-15 | Challenger ATP | Kalshi | $44.0M | 607,932 | Buy day |
| 8 | 2026-07-09 | FIFA World Cup | Polymarket | $38.2M | 236,477 | Buy day |
| 9 | 2026-09-27 | NFL (games & props) | Polymarket | $37.1M | 68,811 | Buy day |
| 10 | 2026-07-14 | ITF Women's Match | Kalshi | $34.7M | 595,667 | Buy day |
One row per series: its single busiest captured UTC day by USD turnover over every contract, from our own daily statistics.
Most traded single contracts on 2026-11-02
The 25 event contracts with the most USD turnover on the newest captured day across all venues — 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 vs Polymarket vs predict.fun vs OG.com — the last 7 days
Whole-venue trades, USD turnover and active contracts per UTC day from our own capture.
| UTC day | Kalshi trades | Polymarket trades | predict.fun trades | Kalshi turnover | Polymarket turnover | predict.fun turnover | Kalshi contracts | Polymarket contracts | predict.fun contracts |
|---|---|---|---|---|---|---|---|---|---|
| 2026-11-02 | 12,684,582 | 1,334,883 | 698,569 | $458.1M | $70.4M | $9.5M | 285,285 | 256,740 | 21,891 |
| 2026-11-01 | 13,530,117 | 1,247,987 | 574,300 | $546.0M | $83.2M | $8.1M | 281,749 | 279,942 | 23,662 |
| 2026-10-31 | 14,626,558 | 1,515,186 | 625,395 | $566.4M | $100.8M | $11.1M | 271,745 | 314,429 | 21,537 |
| 2026-10-30 | 13,896,458 | 1,376,944 | 772,611 | $512.4M | $78.9M | $10.5M | 272,102 | 286,090 | 19,732 |
| 2026-10-29 | 12,839,908 | 1,385,460 | 912,331 | $453.6M | $79.7M | $13.8M | 259,297 | 302,463 | 21,558 |
| 2026-10-28 | 12,439,501 | 1,437,917 | 922,191 | $477.2M | $93.0M | $13.8M | 260,984 | 309,305 | 19,289 |
| 2026-10-27 | 12,820,721 | 1,386,406 | 891,328 | $500.7M | $82.5M | $13.0M | 251,645 | 302,389 | 19,024 |
Whole-venue totals per UTC day from our own tick capture: every trade print across every contract, USD turnover as price × size, and the number of contracts with activity that day. Days are finalized ~3 h after 00:00 UTC.
Biggest moves right now
Live contracts with the largest absolute price change over the last 24 hours — a snapshot from the free analytics, refreshed every few minutes.
| Contract | Venue | Price 24h ago → now | Δ | 24h turnover |
|---|---|---|---|---|
| KXAFCCLGAME-26NOV03NUJSHP-SHP | Kalshi | 0.43 → 0.89 | +0.46 | $92.9K |
| #25115274 | Polymarket | 0.43 → 0.89 | +0.46 | $52.9K |
| elon-musk-of-tweets-october-27-november-3-2026-360-379 | Polymarket | 0.06 → 0.44 | +0.38 | $16.5K |
| #25115599 | predict.fun | 0.52 → 0.89 | +0.37 | $33.2K |
| KXBOND-30-CAL | Kalshi | 0.37 → 0.70 | +0.33 | $23.5K |
| elon-musk-of-tweets-october-27-november-3-2026-380-399 | Polymarket | 0.20 → 0.44 | +0.24 | $25.5K |
| #25120781 | Kalshi | 0.27 → 0.48 | +0.21 | $64.6K |
| #25020035 | Kalshi | 0.55 → 0.69 | +0.14 | $31.7K |
| #24394113 | Polymarket | 0.98 → 0.73 | -0.25 | $743.4K |
| #24937889 | predict.fun | 0.75 → 0.51 | -0.24 | $18.0K |
| #25120782 | Kalshi | 0.74 → 0.52 | -0.22 | $65.4K |
| elon-musk-of-tweets-october-27-november-3-2026-400-419 | Polymarket | 0.29 → 0.07 | -0.22 | $13.9K |
| will-nicols-maduro-be-sentenced-to-at-least-60-years-in-prison | Polymarket | 0.38 → 0.21 | -0.17 | $24.8K |
| us-x-iran-ceasefire-continues-through-october-31-20260917 | Polymarket | 0.99 → 0.83 | -0.17 | $784.3K |
| will-anthropic-have-the-highest-ipo-market-cap-2026-673 | Polymarket | 0.44 → 0.29 | -0.14 | $20.6K |
| #24150803 | Polymarket | 0.88 → 0.76 | -0.12 | $28.0K |
Live contracts ranked by absolute 24-hour price change (contracts quote 0..1; settled or near-settled contracts excluded). Snapshot 2026-11-03 08:37 UTC. Full list in the prediction movers.
Why buy Kalshi, Polymarket, predict.fun & OG.com 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
Most traded prediction markets — FAQ
Which prediction markets are traded the most?
Over the 30 days to 2026-11-02 the most traded series was Kalshi BTC Up/Down 15m with $4.1B of USD turnover over 109,732,751 trades; over 90 days Kalshi BTC Up/Down 15m leads at $9.5B; since our statistics began on 2026-07-08 it is Kalshi BTC Up/Down 15m at $10.0B. Ranked here by USD turnover over the 30 days to 2026-11-02, across all venues and per venue — the tables on this page are the ranking, computed from every trade print of every contract in our own capture. They update daily.
How are trades and turnover counted?
From the recorded tick data: every trade print of every contract of a series on a UTC day, turnover as price × size in USD (contracts quote 0..1). Series without statistics in the window are omitted, never shown as zero. Per-day statistics exist from July 2026 onward for the launch series and from a series' first captured day after that — a limit of the statistics, not of the capture: the tick files themselves reach back to each series' first recorded day.
What are the "biggest moves"?
Live contracts whose price moved the most over the last 24 hours, from the free analytics — settled or near-settled contracts (price ≤0.03 or ≥0.97) are excluded so resolution jumps do not dominate. It refreshes every few minutes and is not part of the archive itself.
Can I download the data behind this leaderboard?
Yes — every row links to the series page; day bundles (all contracts of the series for one UTC day, tick-level trades and order books) are bought in the shop, €1 per day.
Do I need an account or a sales call?
No. Pick the 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.