Kalshi 15-minute NEAR order book, live
Measure quoted spreads and depth in Kalshi 15-minute NEAR direction markets. This dataset records event-driven YES order book states for included NEAR contracts from 10 September 2026 onward, with best bid, best ask, total side depth and full resting ladders.
Each row is the final book state for a market ticker and second after a book event. Recording follows contracts with a resting YES bid from listing to settlement, and 60-second segments become new table versions.
Coverage
- Window: from 2026-09-10 15:32 UTC onward, growing with every sealed segment, in UTC.
- Grain: one row per market ticker and second, holding the book after the last event of that second.
- Cadence: a new contract opens every 15 minutes, so the recording follows one or two markets at a time. A busy contract produces several rows a minute and a quiet one a row only when its book changes.
- Freshness: the recorder seals a segment every 60 seconds and each segment becomes a new table version.
Columns
ticker: the Kalshi market ticker, for example KXNEAR15M-26SEP101130-30, naming the 15-minute window.timestamp_ms: the venue event time of the last book event in the second, in epoch milliseconds.sequence: the final book event's position in the recording's arrival order.best_bid,best_ask: the best resting YES bid and ask, in cents from 0 to 100.bid_depth,ask_depth: the total resting contracts on the YES bid side and the YES ask side.yes_bids,yes_asks: JSON arrays of {price, size} for every resting level, best price first, in cents and whole contracts.ingest_time_ms: when the recorder received the frame, in epoch milliseconds.
Missing values
A side with no resting orders has a null best price, a depth of 0 and an empty ladder. A settled market stops producing rows. Any minute in which the recorder was not connected is a gap. Nothing before the recording started can be recovered.
Suitable for
- Reconstructing the full YES limit order book of any 15-minute contract at any second.
- Measuring spread, depth and imbalance as a NEAR window approaches settlement.
- Comparing 15-minute contracts across coins and against the hourly strikes on Kalshi at a shared timestamp.
- Studying how order flow reacts to moves in the CF Benchmarks reference price.
Source and rights
Kalshi's public trade API websocket, orderbook_snapshot and orderbook_delta channels, recorded under the workspace's own Kalshi API key. Settlement follows the CF Benchmarks NEAR reference price at the end of each 15-minute window. Use is governed by Kalshi's API terms. No open licence is claimed by the publisher.
Tables
| Name | Rows (est.) | Updated | Get the data |
|---|---|---|---|
Table overviewPublished rows749,132Columns10 rows10 cols Update detailsStatusLiveLast published22 Sept 2026 | Table overviewPublished rows749,132Columns10 | Update detailsStatusLiveLast published22 Sept 2026 |
Sources
1 publisherapi.elections.kalshi.comapi.elections.kalshi.com1 endpoint
- Website
- api.elections.kalshi.com
- Usage rights
- Allowed by terms of service.
- Requests
- 1 request across 1 endpoint
Details
- Contents
- 1 table · 749,132 rows (est.) · 10 columns
- Updated
- 22 September 2026
- Published
- 12 September 2026
- Version
- 2026-09-22
- License
- CC BY 4.0 — attribution
- Visibility
- Public
- Publisher
- Mostly Right
- Topics
- prediction markets · kalshi · near protocol +3


Comments
0No comments yet. Questions about coverage, licensing, or how a column is derived belong here, in the open, beside the data.
Sign in to join the conversation.