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kalshi historical data / financials / KXNIFTY
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NIFTY 50, tick by tick.
Kalshi series KXNIFTY: order book and trades, 2026-09-27 → 2026-10-23.

The order-book and trade history of Kalshi's NIFTY 50 series (a one-off event): top of book on every change, the 25-level book on every change in YES terms, every trade with the taker's side, and Kalshi's own ticker, with exchange timestamps to the millisecond. Captured by us from Kalshi's websocket on two independent legs and checked against the exchange's own book snapshots.

27 days2026-09-27 → 2026-10-23 · every day since its first · ~315 kB per day · 8 MB on disk · 5 open markets
pull KXNIFTY days →schemapricing

What a KXNIFTY day contains

Four parquet files per day, every market of the series in each. Sizes are this series' own averages over its 27 days on disk.

Top of book (every change)kalshi_l1

Best YES bid and ask with sizes and the spread, one row whenever either changed, derived tick by tick from the rebuilt book: not Kalshi's conflated ticker.

~13 kB per KXNIFTY day
Order book, 25 levels, every changekalshi_l2

The whole ladder after every book event, in YES terms (the NO bids become the asks, at their sizes), 25 levels a side: wide columns bid_px_1 … ask_sz_25, plus the exchange's own hourly snapshots. Each row is self-contained, so you can start reading mid-day.

~282 kB per KXNIFTY day
Tradeskalshi_trades

Every trade: YES and NO price, size in contracts, the taker's side, block-trade flag, trade id.

~3 kB per KXNIFTY day
Kalshi ticker (~1 s)kalshi_ticker

Kalshi's own ticker feed, about one update a second per market: last price, YES bid/ask with sizes, cumulative volume and open interest in contracts and dollars.

~17 kB per KXNIFTY day

KXNIFTY markets

The 5 closing nearest to now, from Kalshi's daily market list. Each is a row key (market_ticker) in every table, captured from the day it opens until it settles.

Will the Nifty 50 Index be at least ₹25,000 in 2026?: At least ₹25,000KXNIFTY-26DEC31-25000closes 2027-01-01 15:00 UTC
Will the Nifty 50 Index be at least ₹26,000 in 2026?: At least ₹26,000KXNIFTY-26DEC31-26000closes 2027-01-01 15:00 UTC
Will the Nifty 50 Index be at least ₹27,000 in 2026?: At least ₹27,000KXNIFTY-26DEC31-27000closes 2027-01-01 15:00 UTC
Will the Nifty 50 Index be at least ₹28,000 in 2026?: At least ₹28,000KXNIFTY-26DEC31-28000closes 2027-01-01 15:00 UTC
Will the Nifty 50 Index be at least ₹29,000 in 2026?: At least ₹29,000KXNIFTY-26DEC31-29000closes 2027-01-01 15:00 UTC

Coverage notes for KXNIFTY

  • First day on disk: 2026-09-27. That is the day our Kalshi capture began, not the series' launch. New days are added daily.
  • Trades before 2026-09-27. Kalshi's historical API has no tick-level order book, so earlier KXNIFTY trades are in the whole-exchange trades history (from 2021-06-30, one file a day): filter market_ticker to this series' markets, which start with KXNIFTY-.
  • The first day starts at 11:00 UTC. Our capture began at 11:00 UTC on 27 September 2026: 13 hours that day, not 24, and no CF Benchmarks index file (that capture starts on the 28th).
  • A book-quality dip on 2026-09-29. During a pipeline cutover 10,255 exchange snapshots disagreed with the rebuilt book (41 to 1,378 on every other day) and 16,678 negative levels were clamped to zero. The book resynchronises at every exchange snapshot; trades and ticker are unaffected.
  • Every bundle ships a README with the schemas and, per day, how often the rebuilt book matched the exchange's own snapshots, for your exact range.

Pricing

A month of KXNIFTY, every table, is about 9 MB. Bought for Kalshi, Starter ($29/mo) carries top of book, trades and the ticker for every series plus one series of your choice, KXNIFTY if you like, at full book depth; L10 ($49/mo) carries every series' book at 10 levels and L25 ($99/mo) the full 25-level book. Each includes 7 days before you join and every day after. Any free account can pull 2026-10-07, any series, up to 1.0 GB.

Starter: KXNIFTY at full depth →L10: every series at 10 levelsL25: every series, 25 levelsfree sample day

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