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kalshi historical data / elections / KXNYCMAYORPERSON
§elections

New York City Mayor winner? (Person), tick by tick.
Kalshi series KXNYCMAYORPERSON: order book and trades, 2026-09-27 → 2026-10-23.

The order-book and trade history of Kalshi's New York City Mayor winner? (Person) 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 · ~657 kB per day · 17 MB on disk · 12 open markets
pull KXNYCMAYORPERSON days →schemapricing

What a KXNYCMAYORPERSON 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.

~43 kB per KXNYCMAYORPERSON 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.

~557 kB per KXNYCMAYORPERSON day
Tradeskalshi_trades

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

~11 kB per KXNYCMAYORPERSON 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.

~47 kB per KXNYCMAYORPERSON day

KXNYCMAYORPERSON markets

The 12 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.

Who will win the next New York City mayoral election?: Andrew CuomoKXNYCMAYORPERSON-29-ACUOcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Bill AckmanKXNYCMAYORPERSON-29-BACKcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Brad LanderKXNYCMAYORPERSON-29-BLANcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Curtis SliwaKXNYCMAYORPERSON-29-CSLIcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Donald TrumpKXNYCMAYORPERSON-29-DJTcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Dave PortnoyKXNYCMAYORPERSON-29-DPORcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Eric AdamsKXNYCMAYORPERSON-29-EADAcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Julie MeninKXNYCMAYORPERSON-29-JMENcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Jessica TischKXNYCMAYORPERSON-29-JTIScloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Letitia JamesKXNYCMAYORPERSON-29-LJAMcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Mark LevineKXNYCMAYORPERSON-29-MLEVcloses 2030-11-06 15:00 UTC
Who will win the next New York City mayoral election?: Zohran MamdaniKXNYCMAYORPERSON-29-ZMAMcloses 2030-11-06 15:00 UTC

Coverage notes for KXNYCMAYORPERSON

  • 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 KXNYCMAYORPERSON 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 KXNYCMAYORPERSON-.
  • 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 KXNYCMAYORPERSON, every table, is about 19 MB. Bought for Kalshi, Starter ($29/mo) carries top of book, trades and the ticker for every series plus one series of your choice, KXNYCMAYORPERSON 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: KXNYCMAYORPERSON at full depth →L10: every series at 10 levelsL25: every series, 25 levelsfree sample day

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