S&P 500 Prediction Market Data
Tick-by-tick trades and L2 order-book depth for 5 S&P 500 series on Kalshi & predict.fun — S&P 500 above/below (KXINXU), S&P 500 range (KXINX). 800 series-days covering March 2026 – present; 226.0K trades · $24.3M 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.
S&P 500 on Kalshi & predict.fun
Kalshi S&P 500 above/below and range contracts.
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 S&P 500 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 | S&P 500 above/below | Kalshi | 208,579 | $24.0M | 30 | Buy days |
| 2 | S&P 500 range | Kalshi | 9,298 | $203.4K | 30 | Buy days |
| 3 | S&P 500 yearly range | Kalshi | 6,976 | $73.3K | 30 | Buy days |
| 4 | INXDIRY | Kalshi | 946 | $15.1K | 30 | Buy days |
| 5 | SPY Up/Down 15m | predict.fun | 172 | $2.0K | 2 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-10-12. Series without statistics in the window are omitted.
S&P 500 activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 4 | 4 | 225,799 | $24.3M |
| predict.fun | 1 | 1 | 172 | $2.0K |
30 days to 2026-10-12, from our own daily statistics per contract.
S&P 500 — development since capture
866,935 trades and $56.1M of USD turnover across 5 series since 2026-07-08; busiest single series-day 2026-10-01 with $4.9M, biggest contract KXINXU-26OCT09H1600-T7809.9999 (2026-10-09, $542.7K).
| Month | Series active | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 5 | 12 | 96,199 | $11.5M | $959.1K | 2,226 | 55.8M | — |
| Sep 2026 | 4 | 30 | 226,192 | $16.8M | $559.1K | 7,198 | 171.7M | +14.0 % |
| Aug 2026 | 4 | 31 | 300,107 | $14.7M | $474.4K | 5,330 | 108.2M | +12.2 % |
| Jul 2026 | 2 | 24 | 244,437 | $13.1M | $546.3K | — | — | — |
S&P 500 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.
S&P 500 — how the contracts resolved, last 14 days
Of 1,725 resolved S&P 500 contracts over the 14 captured days to 2026-10-12, 61 % closed Yes and 39 % closed No by their last print — 106,437 trades and $16.6M of turnover, about 46 trades per contract.
| UTC day | Contracts | Closed Yes | Closed No | Yes share | Trades / contract | Turnover / contract | Turnover |
|---|---|---|---|---|---|---|---|
| 2026-10-12 | 181 | 39 | 84 | 32 % | 67 | $2.7K | $481.5K |
| 2026-10-11 | 63 | 1 | 1 | 50 % | 7 | $90.79 | $5.7K |
| 2026-10-10 | 13 | 3 | 0 | 100 % | 2 | $15.01 | $195.1 |
| 2026-10-09 | 194 | 93 | 37 | 72 % | 67 | $10.1K | $2.0M |
| 2026-10-08 | 181 | 72 | 78 | 48 % | 79 | $4.5K | $819.1K |
| 2026-10-07 | 188 | 75 | 80 | 48 % | 56 | $4.0K | $752.5K |
| 2026-10-06 | 191 | 131 | 30 | 81 % | 44 | $3.4K | $656.3K |
| 2026-10-05 | 189 | 143 | 21 | 87 % | 44 | $4.8K | $901.3K |
| 2026-10-04 | 32 | 1 | 2 | 33 % | 11 | $36.62 | $1.2K |
| 2026-10-03 | 13 | 0 | 1 | 0 % | 16 | $54.06 | $702.78 |
| 2026-10-02 | 271 | 178 | 62 | 74 % | 33 | $3.2K | $860.6K |
| 2026-10-01 | 304 | 93 | 128 | 42 % | 39 | $16.1K | $4.9M |
| 2026-09-30 | 246 | 128 | 64 | 67 % | 40 | $9.0K | $2.2M |
| 2026-09-29 | 229 | 91 | 89 | 51 % | 36 | $13.5K | $3.1M |
| Total | 2,295 | 1,048 | 677 | 61 % | 46 | $7.2K | $16.6M |
Outcome implied by each contract's last recorded print (≥ 0.97 = Yes, ≤ 0.03 = No; the rest still open at the last print) — venues publish the official results, we record the market. Every contract of the day is counted for this series; trades and USD turnover come from the tick archive.
S&P 500 — turnover by weekday
Thursdays are the busiest day at about $1.7M of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $985.6K | 11.3K | 5 | |
| Tuesday | $1.2M | 8.7K | 4 | |
| Wednesday | $990.0K | 10.9K | 4 | |
| Thursday | $1.7M | 11.7K | 4 | |
| Friday | $975.2K | 9.7K | 4 | |
| Saturday | $2.9K | 432 | 4 | |
| Sunday | $5.2K | 701.4 | 5 |
S&P 500 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 S&P 500 series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | S&P 500 above/below | Kalshi | $24.0M | $10.2M | +118.8 % | 208,579 |
| 2 | INXDIRY | Kalshi | $15.1K | $11.5K | +31.5 % | 946 |
| 3 | S&P 500 yearly range | Kalshi | $73.3K | $74.1K | −1.2 % | 6,976 |
| 4 | S&P 500 range | Kalshi | $203.4K | $290.7K | −30.0 % | 9,298 |
Growth of average USD turnover per captured day, the 30 days to 2026-10-12 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.
S&P 500 prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 5 S&P 500 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 |
|---|---|---|---|---|---|---|
| 2026-10-12 | 5 | 223 | 12,669 | $488.6K | 56 % | 4.5M |
| 2026-10-11 | 4 | 95 | 1,031 | $9.7K | 43 % | 338.1K |
| 2026-10-10 | 4 | 35 | 188 | $1.5K | 77 % | 190.7K |
| 2026-10-09 | 5 | 220 | 13,506 | $2.0M | 39 % | 4.4M |
| 2026-10-08 | 4 | 222 | 14,869 | $827.2K | 62 % | 7.1M |
| 2026-10-07 | 4 | 230 | 11,299 | $760.8K | 65 % | 5.9M |
| 2026-10-06 | 4 | 233 | 9,217 | $668.5K | 61 % | 5.3M |
| 2026-10-05 | 4 | 226 | 9,034 | $920.8K | 70 % | 6.7M |
| 2026-10-04 | 4 | 53 | 591 | $2.9K | 71 % | 736.9K |
| 2026-10-03 | 4 | 27 | 402 | $2.6K | 64 % | 457.0K |
| 2026-10-02 | 4 | 306 | 9,912 | $871.4K | 49 % | 9.7M |
| 2026-10-01 | 4 | 356 | 13,481 | $5.0M | 45 % | 10.5M |
| 2026-09-30 | 4 | 299 | 10,706 | $2.2M | 47 % | 8.8M |
| 2026-09-29 | 4 | 288 | 9,342 | $3.1M | 51 % | 7.7M |
| 2026-09-28 | 4 | 245 | 10,185 | $2.3M | 41 % | 9.7M |
| 2026-09-27 | 4 | 83 | 669 | $4.6K | 86 % | 529.0K |
| 2026-09-26 | 4 | 46 | 639 | $5.6K | 86 % | 332.8K |
| 2026-09-25 | 4 | 191 | 8,359 | $670.2K | 53 % | 7.8M |
| 2026-09-24 | 4 | 225 | 7,399 | $477.0K | 54 % | 9.6M |
| 2026-09-23 | 4 | 229 | 10,943 | $548.6K | 56 % | 7.7M |
| 2026-09-22 | 4 | 163 | 7,505 | $427.3K | 49 % | 6.5M |
| 2026-09-21 | 4 | 261 | 12,479 | $645.6K | 55 % | 5.3M |
| 2026-09-20 | 4 | 113 | 883 | $5.1K | 31 % | 786.0K |
| 2026-09-19 | 4 | 32 | 499 | $1.7K | 80 % | 766.6K |
| 2026-09-18 | 4 | 255 | 6,900 | $372.4K | 44 % | 3.8M |
| 2026-09-17 | 4 | 459 | 11,128 | $463.1K | 46 % | 5.0M |
| 2026-09-16 | 4 | 387 | 10,845 | $438.5K | 54 % | 7.0M |
| 2026-09-15 | 4 | 309 | 8,915 | $487.7K | 35 % | 8.2M |
| 2026-09-14 | 4 | 435 | 12,043 | $576.0K | 46 % | 10.9M |
| 2026-09-13 | 4 | 67 | 333 | $3.5K | 52 % | 585.0K |
Per UTC day, summed over every S&P 500 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 S&P 500 contracts on 2026-10-12
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.
| Contract | Series | Venue | Open → Close | Implied outcome | Trades | Turnover | |
|---|---|---|---|---|---|---|---|
| KXINXU-26OCT12H1000-T7809.9999 | S&P 500 above/below | Kalshi | 0.750 → 0.990 | Yes | 304 | $35.8K | buy file → |
| KXINXU-26OCT12H1500-T7799.9999 | S&P 500 above/below | Kalshi | 0.700 → 0.010 | No | 457 | $34.2K | buy file → |
| KXINXU-26OCT12H1400-T7799.9999 | S&P 500 above/below | Kalshi | 0.700 → 0.990 | Yes | 238 | $33.7K | buy file → |
| KXINXU-26OCT12H1400-T7804.9999 | S&P 500 above/below | Kalshi | 0.700 → 0.010 | No | 514 | $31.1K | buy file → |
| KXINXU-26OCT12H1100-T7804.9999 | S&P 500 above/below | Kalshi | 0.700 → 0.990 | Yes | 405 | $28.8K | buy file → |
| KXINXU-26OCT12H1000-T7814.9999 | S&P 500 above/below | Kalshi | 0.720 → 0.010 | No | 419 | $28.8K | buy file → |
| KXINXU-26OCT12H1200-T7809.9999 | S&P 500 above/below | Kalshi | 0.700 → 0.990 | Yes | 324 | $27.2K | buy file → |
| KXINXU-26OCT12H1300-T7809.9999 | S&P 500 above/below | Kalshi | 0.560 → 0.010 | No | 441 | $23.9K | buy file → |
| KXINXU-26OCT12H1600-T7809.9999 | S&P 500 above/below | Kalshi | 0.720 → 0.320 | open | 369 | $22.9K | buy file → |
| KXINXU-26OCT12H1100-T7814.9999 | S&P 500 above/below | Kalshi | 0.560 → 0.010 | No | 224 | $20.7K | buy file → |
Single contracts ranked by USD turnover on 2026-10-12 (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 S&P 500 series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
| Series | Venue | Interval | Days | Coverage | Size | Price/day | |
|---|---|---|---|---|---|---|---|
| S&P 500 above/below | Kalshi | 1h | 219 | March 2026 – present | 17.6 GB | €1 | Buy days |
| S&P 500 range | Kalshi | daily | 219 | March 2026 – present | 1.34 GB | €1 | Buy days |
| INXDIRY | Kalshi | annual | 137 | May 2026 – present | 462 MB | €1 | Buy days |
| S&P 500 yearly range | Kalshi | annual | 223 | March 2026 – present | 409 MB | €1 | Buy days |
predict.fun S&P 500 series
Largest archive first. Each series page lists its exact coverage, day count and recent days; day bundles are bought in the shop calendar.
| Series | Venue | Interval | Days | Coverage | Size | Price/day | |
|---|---|---|---|---|---|---|---|
| SPY Up/Down 15m | predict.fun | 15m | 2 | October 2026 – present | 3.66 MB | €1 | Buy days |
Why buy S&P 500 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
S&P 500 prediction-market data — FAQ
Does Kalshi have S&P 500 markets?
Yes — S&P 500 above/below (KXINXU) and S&P 500 range (KXINX) contracts on the index close; both are archived with tick-level trades and order books.
How is S&P 500 prediction-market 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 S&P 500 data go?
Coverage runs March 2026 – present — 800 series-days across 5 series on Kalshi & predict.fun. Each series page lists its exact span.
Can I get S&P 500 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. Both venues record 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 S&P 500 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 S&P 500 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 S&P 500 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 S&P 500 trading day?
2026-10-01 — $4.9M of USD turnover over 11,739 trades in a single series-day. Since our statistics began on 2026-07-08, 5 S&P 500 series recorded 866,935 trades and $56.1M in total; the biggest single contract was KXINXU-26OCT09H1600-T7809.9999 on 2026-10-09 at $542.7K. Thursdays are the busiest weekday at about $1.7M per day.
How often did S&P 500 contracts resolve Yes vs No recently?
61 % of 1,725 resolved contracts closed Yes and 39 % closed No by their last recorded print over the 14 captured days to 2026-10-12, about 46 trades per contract. Implied from the market (≥ 0.97 / ≤ 0.03), not the official settlement.