Stock Indices Prediction Market Data
Tick-by-tick trades and L2 order-book depth for 17 Stock Indices series on Kalshi & predict.fun — S&P 500 and Nasdaq above/below and range, DJI Hourly, Nikkei (NKY) Hourly. 3,032 series-days covering March 2026 – present; 415.6K trades · $27.0M 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.
Stock Indices on Kalshi & predict.fun
S&P 500, Nasdaq-100, Dow Jones and Nikkei index 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 Stock Indices 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 | 192,065 | $15.2M | 30 | Buy days |
| 2 | Nasdaq above/below | Kalshi | 160,501 | $10.4M | 30 | Buy days |
| 3 | DJI Hourly | Kalshi | 24,457 | $763.7K | 30 | Buy days |
| 4 | S&P 500 range | Kalshi | 7,552 | $166.4K | 30 | Buy days |
| 5 | Nasdaq max yearly | Kalshi | 934 | $87.9K | 30 | Buy days |
| 6 | S&P 500 yearly range | Kalshi | 7,374 | $82.5K | 30 | Buy days |
| 7 | SPY Up/Down 15m | predict.fun | 4,628 | $53.5K | 16 | Buy days |
| 8 | Nasdaq yearly range | Kalshi | 5,313 | $47.6K | 30 | Buy days |
| 9 | S&P 500 max yearly | Kalshi | 3,882 | $45.9K | 30 | Buy days |
| 10 | QQQ Up/Down 15m | predict.fun | 4,046 | $44.1K | 16 | Buy days |
Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-11-01. Series without statistics in the window are omitted.
Stock Indices activity per venue
| Venue | Series | With stats | Trades (30d) | Turnover (30d) |
|---|---|---|---|---|
| Kalshi | 15 | 15 | 406,948 | $26.9M |
| predict.fun | 2 | 2 | 8,674 | $97.6K |
30 days to 2026-11-01, from our own daily statistics per contract.
Stock Indices — development since capture
1,659,632 trades and $111.6M of USD turnover across 17 series since 2026-07-08; busiest single series-day 2026-10-01 with $7.1M, 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 |
|---|---|---|---|---|---|---|---|---|
| Nov 2026 (month to date) | 14 | 1 | 972 | $6.9K | $6.9K | 132 | 3.8M | — |
| Oct 2026 | 17 | 31 | 465,055 | $40.8M | $1.3M | 25,625 | 1.0B | +33.9 % |
| Sep 2026 | 15 | 30 | 382,617 | $30.5M | $1.0M | 28,935 | 607.9M | +44.2 % |
| Aug 2026 | 14 | 31 | 461,376 | $21.2M | $682.5K | 22,342 | 252.0M | +10.6 % |
| Jul 2026 | 5 | 24 | 349,612 | $19.1M | $796.9K | — | — | — |
Stock Indices 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.
Stock Indices — how the contracts resolved, last 14 days
Of 2,219 resolved Stock Indices contracts over the 14 captured days to 2026-11-01, 54 % closed Yes and 46 % closed No by their last print — 97,011 trades and $9.8M of turnover, about 31 trades per contract.
| UTC day | Contracts | Closed Yes | Closed No | Yes share | Trades / contract | Turnover / contract | Turnover |
|---|---|---|---|---|---|---|---|
| 2026-11-01 | 80 | 7 | 2 | 78 % | 5 | $34.48 | $2.8K |
| 2026-10-31 | 40 | 2 | 0 | 100 % | 5 | $25.48 | $1.0K |
| 2026-10-30 | 333 | 70 | 183 | 28 % | 37 | $3.2K | $1.1M |
| 2026-10-29 | 305 | 92 | 112 | 45 % | 31 | $3.2K | $989.2K |
| 2026-10-28 | 319 | 139 | 84 | 62 % | 29 | $3.3K | $1.0M |
| 2026-10-27 | 267 | 151 | 47 | 76 % | 35 | $2.9K | $772.6K |
| 2026-10-26 | 412 | 239 | 56 | 81 % | 24 | $2.0K | $831.1K |
| 2026-10-25 | 101 | 1 | 63 | 2 % | 4 | $28.36 | $2.9K |
| 2026-10-24 | 28 | 1 | 2 | 33 % | 6 | $25.87 | $724.47 |
| 2026-10-23 | 260 | 75 | 121 | 38 % | 40 | $2.6K | $671.1K |
| 2026-10-22 | 280 | 82 | 127 | 39 % | 31 | $3.1K | $876.8K |
| 2026-10-21 | 259 | 118 | 52 | 69 % | 35 | $4.0K | $1.0M |
| 2026-10-20 | 275 | 142 | 77 | 65 % | 37 | $6.3K | $1.7M |
| 2026-10-19 | 199 | 89 | 85 | 51 % | 38 | $3.6K | $712.7K |
| Total | 3,158 | 1,208 | 1,011 | 54 % | 31 | $3.1K | $9.8M |
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.
Stock Indices — turnover by weekday
Tuesdays are the busiest day at about $1.5M of USD turnover, averaged over the captured days of the last 30.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $1.2M | 19.5K | 4 | |
| Tuesday | $1.5M | 18.3K | 4 | |
| Wednesday | $1.4M | 21.3K | 4 | |
| Thursday | $1.2M | 21.1K | 4 | |
| Friday | $1.5M | 21.3K | 4 | |
| Saturday | $11.4K | 760.4 | 5 | |
| Sunday | $17.3K | 1.2K | 5 |
Stock Indices 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 Stock Indices series — 30 days vs the 30 before
| # | Series | Venue | Turnover (30d) | Prior 30d | Growth (avg / day) | Trades (30d) |
|---|---|---|---|---|---|---|
| 1 | Nasdaq max yearly | Kalshi | $87.9K | $28.4K | +209.4 % | 934 |
| 2 | INXDIRY | Kalshi | $18.5K | $9.8K | +88.0 % | 1,231 |
| 3 | DJI Hourly | Kalshi | $763.7K | $466.6K | +52.8 % | 24,457 |
| 4 | S&P 500 yearly range | Kalshi | $82.5K | $59.9K | +37.7 % | 7,374 |
| 5 | S&P 500 max yearly | Kalshi | $45.9K | $13.7K | +22.9 % | 3,882 |
Growth of average USD turnover per captured day, the 30 days to 2026-11-01 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.
Stock Indices prediction markets — trades and turnover per day
Every captured UTC day of the last 30, summed over the 17 Stock Indices 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 |
|---|---|---|---|---|---|---|
| 2026-11-01 | 14 | 132 | 972 | $6.9K | 60 % | 3.8M |
| 2026-10-31 | 14 | 105 | 912 | $5.2K | 60 % | 1.3M |
| 2026-10-30 | 16 | 992 | 18,712 | $1.3M | 52 % | 58.8M |
| 2026-10-29 | 16 | 910 | 18,257 | $1.2M | 46 % | 52.7M |
| 2026-10-28 | 16 | 975 | 17,094 | $1.2M | 65 % | 41.2M |
| 2026-10-27 | 16 | 959 | 20,319 | $887.1K | 60 % | 63.2M |
| 2026-10-26 | 16 | 1,450 | 21,625 | $1.1M | 66 % | 67.5M |
| 2026-10-25 | 14 | 160 | 1,487 | $35.1K | 30 % | 2.7M |
| 2026-10-24 | 14 | 88 | 1,037 | $17.5K | 89 % | 1.1M |
| 2026-10-23 | 16 | 893 | 17,585 | $800.8K | 68 % | 73.7M |
| 2026-10-22 | 16 | 1,211 | 17,476 | $1.1M | 44 % | 34.6M |
| 2026-10-21 | 17 | 2,082 | 21,101 | $1.5M | 57 % | 47.0M |
| 2026-10-20 | 17 | 2,184 | 23,570 | $2.4M | 43 % | 57.4M |
| 2026-10-19 | 17 | 918 | 15,691 | $951.7K | 64 % | 45.2M |
| 2026-10-18 | 14 | 154 | 993 | $16.0K | 44 % | 2.1M |
| 2026-10-17 | 14 | 99 | 867 | $9.1K | 38 % | 1.2M |
| 2026-10-16 | 17 | 1,257 | 28,021 | $1.2M | 63 % | 47.3M |
| 2026-10-15 | 17 | 1,415 | 20,245 | $891.0K | 59 % | 52.9M |
| 2026-10-14 | 17 | 1,259 | 26,780 | $1.5M | 47 % | 46.7M |
| 2026-10-13 | 17 | 808 | 14,637 | $1.5M | 49 % | 37.8M |
| 2026-10-12 | 16 | 805 | 25,151 | $1.0M | 50 % | 35.9M |
| 2026-10-11 | 14 | 207 | 1,521 | $21.8K | 25 % | 2.0M |
| 2026-10-10 | 14 | 65 | 333 | $2.6K | 65 % | 1.0M |
| 2026-10-09 | 17 | 797 | 20,988 | $2.6M | 37 % | 28.5M |
| 2026-10-08 | 15 | 919 | 28,342 | $1.4M | 50 % | 39.3M |
| 2026-10-07 | 15 | 901 | 20,216 | $1.3M | 61 % | 29.3M |
| 2026-10-06 | 15 | 656 | 14,540 | $1.4M | 59 % | 29.6M |
| 2026-10-05 | 15 | 783 | 15,480 | $1.7M | 59 % | 37.9M |
| 2026-10-04 | 14 | 121 | 1,017 | $6.6K | 78 % | 2.4M |
| 2026-10-03 | 14 | 62 | 653 | $22.6K | 12 % | 1.3M |
Per UTC day, summed over every Stock Indices 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 Stock Indices contracts on 2026-11-01
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 | |
|---|---|---|---|---|---|---|---|
| KXINXMAXY-01JAN2027-7999.99 | S&P 500 max yearly | Kalshi | 0.300 → 0.298 | open | 132 | $1.5K | buy file → |
| KXNASDAQ100Y-26DEC31H1600-B25750 | Nasdaq yearly range | Kalshi | 0.010 → 0.050 | open | 17 | $470.18 | buy file → |
| KXINXU-26NOV02H1600-T7699.9999 | S&P 500 above/below | Kalshi | 0.180 → 0.170 | open | 8 | $437.94 | buy file → |
| KXNASDAQ100Y-26DEC31H1600-B29750 | Nasdaq yearly range | Kalshi | 0.090 → 0.100 | open | 54 | $381.27 | buy file → |
| KXINXU-26NOV02H1000-T7599.9999 | S&P 500 above/below | Kalshi | 0.640 → 0.730 | open | 16 | $317.57 | buy file → |
| KXINXU-26NOV02H1600-T7599.9999 | S&P 500 above/below | Kalshi | 0.480 → 0.500 | open | 32 | $232.71 | buy file → |
| KXINXU-26NOV02H1000-T7604.9999 | S&P 500 above/below | Kalshi | 0.590 → 0.690 | open | 22 | $207.08 | buy file → |
| KXINXY-26DEC31H1600-B7700 | S&P 500 yearly range | Kalshi | 0.160 → 0.180 | open | 36 | $190.64 | buy file → |
| KXINXY-26DEC31H1600-B7900 | S&P 500 yearly range | Kalshi | 0.220 → 0.230 | open | 40 | $173.36 | buy file → |
| KXNASDAQ100U-26NOV02H1600-T28499.99 | Nasdaq above/below | Kalshi | 0.550 → 0.610 | open | 43 | $159.87 | buy file → |
Single contracts ranked by USD turnover on 2026-11-01 (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 Stock Indices 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 | |
|---|---|---|---|---|---|---|---|
| Nasdaq above/below | Kalshi | 1h | 239 | March 2026 – present | 44.3 GB | €1 | Buy days |
| S&P 500 above/below | Kalshi | 1h | 239 | March 2026 – present | 20.2 GB | €1 | Buy days |
| DJI Hourly | Kalshi | event | 107 | July 2026 – present | 4.74 GB | €1 | Buy days |
| S&P 500 range | Kalshi | daily | 239 | March 2026 – present | 1.40 GB | €1 | Buy days |
| S&P 500 max yearly | Kalshi | annual | 243 | March 2026 – present | 1.29 GB | €1 | Buy days |
| Nasdaq range | Kalshi | daily | 239 | March 2026 – present | 1.15 GB | €1 | Buy days |
| INXDIRY | Kalshi | annual | 157 | May 2026 – present | 499 MB | €1 | Buy days |
| NDQDIRY | Kalshi | annual | 157 | May 2026 – present | 456 MB | €1 | Buy days |
| S&P 500 yearly range | Kalshi | annual | 243 | March 2026 – present | 420 MB | €1 | Buy days |
| Nasdaq yearly range | Kalshi | annual | 243 | March 2026 – present | 420 MB | €1 | Buy days |
| Nasdaq max yearly | Kalshi | annual | 243 | March 2026 – present | 142 MB | €1 | Buy days |
| Companies added to SP500 | Kalshi | event | 243 | March 2026 – present | 48.6 MB | €1 | Buy days |
| NKY Hourly | Kalshi | 1h | 52 | August 2026 – present | 17.0 MB | €1 | Buy days |
| Companies removed from SP500 | Kalshi | event | 226 | March 2026 – present | 11.6 MB | €1 | Buy days |
| Companies removed from DJIA | Kalshi | event | 130 | June 2026 – present | 9.86 MB | €1 | Buy days |
predict.fun Stock Indices 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 | |
|---|---|---|---|---|---|---|---|
| QQQ Up/Down 15m | predict.fun | 15m | 16 | October 2026 – present | 72.0 MB | €1 | Buy days |
| SPY Up/Down 15m | predict.fun | 15m | 16 | October 2026 – present | 65.0 MB | €1 | Buy days |
Stock Indices — market types across 12 series
40,764 contracts listed as of 2026-11-02, 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 |
|---|---|---|---|
| strike ladder | 10,730 | 1,263 | 26 % |
| other | 30,034 | 5,785 | 74 % |
| Total | 40,764 | 7,048 | 100 % |
Stock Indices 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 2026-11-02; “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 Stock Indices 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
Stock Indices prediction-market data — FAQ
Which stock-index markets are covered?
S&P 500 and Nasdaq-100 above/below and range series, DJI Hourly and NKY (Nikkei 225) Hourly.
How is stock-index 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 Stock Indices data go?
Coverage runs March 2026 – present — 3,032 series-days across 17 series on Kalshi & predict.fun. Each series page lists its exact span.
Can I get Stock Indices 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 and predict.fun 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 Stock Indices 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 Stock Indices 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 Stock Indices 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 Stock Indices data?
As of 2026-11-02 the 12 Stock Indices series with a market-type snapshot had listed 40,764 contracts: strike ladder 10,730 · other 30,034 — counted from every contract file of each family across Kalshi, predict.fun. 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 Stock Indices trading day?
2026-10-01 — $7.1M of USD turnover over 12,490 trades in a single series-day. Since our statistics began on 2026-07-08, 17 Stock Indices series recorded 1,659,632 trades and $111.6M in total; the biggest single contract was KXINXU-26OCT09H1600-T7809.9999 on 2026-10-09 at $542.7K. Tuesdays are the busiest weekday at about $1.5M per day.
How often did Stock Indices contracts resolve Yes vs No recently?
54 % of 2,219 resolved contracts closed Yes and 46 % closed No by their last recorded print over the 14 captured days to 2026-11-01, about 31 trades per contract. Implied from the market (≥ 0.97 / ≤ 0.03), not the official settlement.