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Event-contract market data · Economics · S&P 500

S&P 500 Prediction Market Data

Tick-by-tick trades and L2 order-book depth for 6 S&P 500 series on Kalshi & predict.fun — S&P 500 above/below (KXINXU), S&P 500 range (KXINX). 1,137 series-days covering March 2026 – present; 216.7K trades · $15.6M 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.

Series
6
Venues
Kalshi · predict.fun
Coverage
March 2026 – present
Series-days
1,137
Trades (30d)
216,732
Turnover (30d)
$15.6M
Since 2026-07-08
1.0M trades · $66.0M
About this topic

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 active

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.

#SeriesVenueTrades (30d)Turnover (30d)Days
1S&P 500 above/belowKalshi192,065$15.2M30Buy days
2S&P 500 rangeKalshi7,552$166.4K30Buy days
3S&P 500 yearly rangeKalshi7,374$82.5K30Buy days
4SPY Up/Down 15mpredict.fun4,628$53.5K16Buy days
5S&P 500 max yearlyKalshi3,882$45.9K30Buy days
6INXDIRYKalshi1,231$18.5K30Buy 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.

By venue

S&P 500 activity per venue

VenueSeriesWith statsTrades (30d)Turnover (30d)
Kalshi55212,104$15.5M
predict.fun114,628$53.5K

30 days to 2026-11-01, from our own daily statistics per contract.

Month by month

S&P 500 — development since capture

1,012,243 trades and $66.0M of USD turnover across 6 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).

MonthSeries activeDaysTradesTurnover (USD)Avg / dayContracts tradedL2 updatesvs previous month
Nov 2026 (month to date)51707$5.3K$5.3K80838.7K—
Oct 2026631239,790$21.4M$691.5K6,627178.2M+27.7 %
Sep 2026530227,202$16.8M$559.5K7,242174.4M+14.1 %
Aug 2026431300,107$14.7M$474.4K5,330108.2M+12.2 %
Jul 2026224244,437$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.

Outcomes

S&P 500 — how the contracts resolved, last 14 days

Of 2,041 resolved S&P 500 contracts over the 14 captured days to 2026-11-01, 56 % closed Yes and 44 % closed No by their last print — 87,965 trades and $7.0M of turnover, about 33 trades per contract.

UTC dayContractsClosed YesClosed NoYes shareTrades / contractTurnover / contractTurnover
2026-11-01527278 %6$45.39$2.4K
2026-10-311720100 %6$27.04$459.71
2026-10-302976117925 %40$2.7K$816.1K
2026-10-292708810845 %32$2.7K$724.0K
2026-10-282841348362 %30$2.7K$760.5K
2026-10-272311454377 %36$2.2K$509.6K
2026-10-263762365282 %24$1.6K$594.8K
2026-10-25191150 %5$108.14$2.1K
2026-10-24900—2$5.1$45.88
2026-10-232246711836 %42$1.9K$435.0K
2026-10-222447412437 %33$2.5K$601.2K
2026-10-212231105069 %36$3.2K$709.4K
2026-10-202421266466 %37$5.5K$1.3M
2026-10-19189838350 %37$2.7K$505.8K
Total2,6771,13490756 %33$2.6K$7.0M

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.

Weekly rhythm

S&P 500 — turnover by weekday

Fridays are the busiest day at about $970.2K of USD turnover, averaged over the captured days of the last 30.

Weekday (UTC)Avg turnover / dayUSDAvg tradesDays
Monday$638.5K9.9K4
Tuesday$823.5K8.9K4
Wednesday$788.0K10.8K4
Thursday$668.3K10.8K4
Friday$970.2K12.6K4
Saturday$3.0K3605
Sunday$5.6K644.85

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

Rising S&P 500 series — 30 days vs the 30 before

#SeriesVenueTurnover (30d)Prior 30dGrowth (avg / day)Trades (30d)
1INXDIRYKalshi$18.5K$9.8K+88.0 %1,231
2S&P 500 yearly rangeKalshi$82.5K$59.9K+37.7 %7,374
3S&P 500 max yearlyKalshi$45.9K$13.7K+22.9 %3,882
4S&P 500 rangeKalshi$166.4K$174.8K−4.8 %7,552
5S&P 500 above/belowKalshi$15.2M$21.3M−33.4 %192,065

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.

Daily activity

S&P 500 prediction markets — trades and turnover per day

Every captured UTC day of the last 30, summed over the 6 S&P 500 series — how much these markets trade day by day, from our own tick capture.

UTC daySeries with statsContracts tradedTradesTurnoverBuy shareL2 updates
2026-11-01580707$5.3K53 %838.7K
2026-10-31549457$3.3K58 %558.3K
2026-10-30634213,482$835.5K62 %10.5M
2026-10-2963169,746$753.0K43 %8.4M
2026-10-2863289,274$776.1K60 %7.0M
2026-10-2762558,761$517.2K60 %8.1M
2026-10-2664139,650$610.0K66 %11.2M
2026-10-25541265$3.2K59 %1.1M
2026-10-24534292$3.9K77 %429.3K
2026-10-2362619,879$441.0K75 %10.2M
2026-10-2262938,777$609.5K41 %6.5M
2026-10-2162618,849$719.7K68 %6.7M
2026-10-2062789,837$1.3M44 %8.2M
2026-10-1962287,999$529.2K79 %8.1M
2026-10-18560537$6.5K35 %433.4K
2026-10-17547390$3.3K59 %377.4K
2026-10-16627213,353$616.9K71 %9.0M
2026-10-1563019,755$482.5K64 %8.3M
2026-10-14635913,480$894.5K51 %7.5M
2026-10-1362107,598$767.6K47 %5.4M
2026-10-12622812,726$489.1K56 %4.7M
2026-10-1151001,087$9.9K43 %615.5K
2026-10-10538228$1.8K74 %501.5K
2026-10-09622613,618$2.0M39 %4.8M
2026-10-08522715,027$828.4K62 %7.5M
2026-10-07523411,401$761.6K65 %6.2M
2026-10-0652389,317$670.2K61 %5.9M
2026-10-0552329,179$925.6K70 %7.1M
2026-10-04557628$3.1K72 %874.9K
2026-10-03530433$2.8K65 %698.8K

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 —.

Biggest contracts

Most traded S&P 500 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.

ContractSeriesVenueOpen → CloseImplied outcomeTradesTurnover
KXINXMAXY-01JAN2027-7999.99S&P 500 max yearlyKalshi0.300 → 0.298open132$1.5Kbuy file →
KXINXU-26NOV02H1600-T7699.9999S&P 500 above/belowKalshi0.180 → 0.170open8$437.94buy file →
KXINXU-26NOV02H1000-T7599.9999S&P 500 above/belowKalshi0.640 → 0.730open16$317.57buy file →
KXINXU-26NOV02H1600-T7599.9999S&P 500 above/belowKalshi0.480 → 0.500open32$232.71buy file →
KXINXU-26NOV02H1000-T7604.9999S&P 500 above/belowKalshi0.590 → 0.690open22$207.08buy file →
KXINXY-26DEC31H1600-B7700S&P 500 yearly rangeKalshi0.160 → 0.180open36$190.64buy file →
KXINXY-26DEC31H1600-B7900S&P 500 yearly rangeKalshi0.220 → 0.230open40$173.36buy file →
KXINXY-26DEC31H1600-B8300S&P 500 yearly rangeKalshi0.060 → 0.040open27$144.31buy file →
KXINXU-26NOV02H1000-T7559.9999S&P 500 above/belowKalshi0.750 → 0.760open7$135.62buy file →
KXINXU-26NOV02H1000-T7549.9999S&P 500 above/belowKalshi0.920 → 0.940open9$135.17buy 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.

5 series · 23.8 GB

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.

SeriesVenueIntervalDaysCoverageSizePrice/day
S&P 500 above/belowKalshi1h239March 2026 – present20.2 GB€1Buy days
S&P 500 rangeKalshidaily239March 2026 – present1.40 GB€1Buy days
S&P 500 max yearlyKalshiannual243March 2026 – present1.29 GB€1Buy days
INXDIRYKalshiannual157May 2026 – present499 MB€1Buy days
S&P 500 yearly rangeKalshiannual243March 2026 – present420 MB€1Buy days
1 series · 65.0 MB

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.

SeriesVenueIntervalDaysCoverageSizePrice/day
SPY Up/Down 15mpredict.fun15m16October 2026 – present65.0 MB€1Buy days
Market types

S&P 500 — market types across 4 series

5,383 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 typeContracts listed (all time)Listed last 30 daysShare
strike ladder5,373630100 %
other1000 %
Total5,383630100 %

S&P 500 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 CryptoStruct

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

FAQ

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 — 1,137 series-days across 6 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. 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 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.

Which market types are in the S&P 500 data?

As of 2026-11-02 the 4 S&P 500 series with a market-type snapshot had listed 5,383 contracts: strike ladder 5,373 · other 10 — 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 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, 6 S&P 500 series recorded 1,012,243 trades and $66.0M in total; the biggest single contract was KXINXU-26OCT09H1600-T7809.9999 on 2026-10-09 at $542.7K. Fridays are the busiest weekday at about $970.2K per day.

How often did S&P 500 contracts resolve Yes vs No recently?

56 % of 2,041 resolved contracts closed Yes and 44 % closed No by their last recorded print over the 14 captured days to 2026-11-01, about 33 trades per contract. Implied from the market (≥ 0.97 / ≤ 0.03), not the official settlement.