Low-Latency Trading Solutions
CART
Event-contract market data · Economics · S&P 500

S&P 500 Prediction Market Data — Kalshi

Tick-by-tick trades and L2 order-book depth for 4 S&P 500 series on Kalshi — S&P 500 above/below (KXINXU), S&P 500 range (KXINX). 718 series-days covering March 2026 – present; 226.7K trades · $10.6M 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
4
Venues
Kalshi
Coverage
March 2026 – present
Series-days
718
Trades (30d)
226,708
Turnover (30d)
$10.6M
Since 2026-07-08
712.5K trades · $35.3M
About this topic

S&P 500 on Kalshi

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/belowKalshi212,876$10.5M28Buy days
2S&P 500 rangeKalshi8,701$78.8K30Buy days
3S&P 500 yearly rangeKalshi4,652$52.0K30Buy days
4INXDIRYKalshi479$6.7K30Buy days

Trades and USD turnover summed over every contract of the series, from the recorded tick data; 30 days to 2026-09-22. Series without statistics in the window are omitted.

Month by month

S&P 500 — development since capture

712,494 trades and $35.3M of USD turnover across 4 series since 2026-07-08; busiest single series-day 2026-08-03 with $1.6M, biggest contract KXINXU-26AUG13H1600-T7779.9999 (2026-08-13, $101.6K).

MonthSeries activeDaysTradesTurnover (USD)Avg / dayContracts tradedL2 updatesvs previous month
Sep 2026 (month to date)422167,950$7.5M$338.7K5,592119.6M
Aug 2026431300,107$14.7M$474.4K5,330108.2M
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 2,203 resolved S&P 500 contracts over the 14 captured days to 2026-09-22, 58 % closed Yes and 42 % closed No by their last print — 92,154 trades and $4.5M of turnover, about 32 trades per contract.

UTC dayContractsClosed YesClosed NoYes shareTrades / contractTurnover / contractTurnover
2026-09-22129415045 %55$3.3K$421.9K
2026-09-212231372784 %54$2.9K$639.7K
2026-09-209221711 %8$38.88$3.6K
2026-09-192110100 %15$24.25$509.32
2026-09-182331098855 %28$1.6K$369.1K
2026-09-17106275 %318$18.1K$181.3K
2026-09-1634314011455 %29$1.3K$429.5K
2026-09-1528110114641 %30$1.7K$485.2K
2026-09-1440019112261 %28$1.4K$570.5K
2026-09-13371233 %4$70.24$2.6K
2026-09-121630100 %2$29.72$475.56
2026-09-113622656481 %27$771.21$279.2K
2026-09-1037211615443 %32$1.9K$695.8K
2026-09-0938517313157 %28$1.0K$392.4K
Total2,9041,28691758 %32$1.5K$4.5M

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

Thursdays are the busiest day at about $522.1K of USD turnover, averaged over the captured days of the last 30.

Weekday (UTC)Avg turnover / dayUSDAvg tradesDays
Monday$516.0K9.8K5
Tuesday$454.7K10.1K5
Wednesday$502.5K11.4K4
Thursday$522.1K10.9K4
Friday$402.6K8.9K4
Saturday$1.9K239.754
Sunday$4.4K442.54

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)
1S&P 500 above/belowKalshi$10.5M$15.2M−26.4 %212,876
2S&P 500 yearly rangeKalshi$52.0K$50.0K−48.0 %4,652
3S&P 500 rangeKalshi$78.8K$825.7K−90.8 %8,701

Growth of average USD turnover per captured day, the 30 days to 2026-09-22 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 4 S&P 500 series — how much these markets trade day by day, from our own tick capture.

UTC daySeries with statsContracts tradedTradesTurnoverBuy shareL2 updates
2026-09-2241637,505$427.3K49 %6.5M
2026-09-21426112,479$645.6K55 %5.3M
2026-09-204113883$5.1K31 %786.0K
2026-09-19432499$1.7K80 %766.6K
2026-09-1842556,900$372.4K44 %3.8M
2026-09-17445911,128$463.1K46 %5.0M
2026-09-16438710,845$438.5K54 %7.0M
2026-09-1543098,915$487.7K35 %8.2M
2026-09-14443512,043$576.0K46 %10.9M
2026-09-13467333$3.5K52 %585.0K
2026-09-1243091$1.3K94 %297.0K
2026-09-11438710,279$284.2K50 %9.0M
2026-09-10441812,513$701.1K57 %8.7M
2026-09-09442511,186$396.0K60 %7.8M
2026-09-08442211,227$432.1K68 %9.4M
2026-09-074631,119$7.7K71 %1.8M
2026-09-06317130$1.6K83 %235.3K
2026-09-05326164$1.9K87 %268.8K
2026-09-04422810,660$524.2K54 %7.2M
2026-09-03434313,618$654.7K58 %7.9M
2026-09-02451213,915$625.9K52 %10.2M
2026-09-01424011,518$399.8K54 %8.2M
2026-08-31429912,712$729.2K66 %6.9M
2026-08-304102424$7.3K54 %952.5K
2026-08-29430205$2.5K94 %460.4K
2026-08-2842337,707$429.6K69 %6.3M
2026-08-2742856,201$269.7K70 %3.0M
2026-08-2642019,460$549.6K68 %4.4M
2026-08-25422211,447$526.8K63 %6.2M
2026-08-24423610,602$621.4K58 %6.4M

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 2026-09-22

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
KXINXU-26SEP22H1600-T7744.9999S&P 500 above/belowKalshi0.7300.960open130$32.2Kbuy file →
KXINXU-26SEP22H1600-T7769.9999S&P 500 above/belowKalshi0.4900.050open775$28.2Kbuy file →
KXINXU-26SEP22H1000-T7769.9999S&P 500 above/belowKalshi0.4900.010No398$28.0Kbuy file →
KXINXU-26SEP22H1600-T7774.9999S&P 500 above/belowKalshi0.4200.010No513$27.4Kbuy file →
KXINXU-26SEP22H1600-T7754.9999S&P 500 above/belowKalshi0.6200.990Yes83$26.7Kbuy file →
KXINXU-26SEP22H1100-T7764.9999S&P 500 above/belowKalshi0.6500.630open446$24.7Kbuy file →
KXINXU-26SEP22H1000-T7764.9999S&P 500 above/belowKalshi0.5800.990Yes153$20.9Kbuy file →
KXINXU-26SEP22H1400-T7764.9999S&P 500 above/belowKalshi0.5300.990Yes286$20.2Kbuy file →
KXINXU-26SEP22H1600-T7759.9999S&P 500 above/belowKalshi0.6300.990Yes158$19.8Kbuy file →
KXINXU-26SEP22H1200-T7754.9999S&P 500 above/belowKalshi0.8600.980Yes128$19.3Kbuy file →

Single contracts ranked by USD turnover on 2026-09-22 (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.

4 series · 17.0 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/belowKalshi1h199March 2026 – present15.0 GB€1Buy days
S&P 500 rangeKalshidaily199March 2026 – present1.26 GB€1Buy days
S&P 500 yearly rangeKalshiannual203March 2026 – present390 MB€1Buy days
INXDIRYKalshiannual117May 2026 – present361 MB€1Buy days
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.

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 — 718 series-days across 4 series on Kalshi. 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 records 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?

2026-08-03 — $1.6M of USD turnover over 23,008 trades in a single series-day. Since our statistics began on 2026-07-08, 4 S&P 500 series recorded 712,494 trades and $35.3M in total; the biggest single contract was KXINXU-26AUG13H1600-T7779.9999 on 2026-08-13 at $101.6K. Thursdays are the busiest weekday at about $522.1K per day.

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

58 % of 2,203 resolved contracts closed Yes and 42 % closed No by their last recorded print over the 14 captured days to 2026-09-22, about 32 trades per contract. Implied from the market (≥ 0.97 / ≤ 0.03), not the official settlement.