Kalshi hourly Dogecoin price range order book, live
Measure liquidity across Kalshi hourly Dogecoin price-range bands. This event-driven history records one-second YES order book states for open DOGE bands with a resting YES bid since 10 September 2026. Use the ladders and depths to compare spreads, imbalance, and implied probability across mutually exclusive hourly outcomes.
Rows appear only after book changes, so quiet seconds are absent. The recorder seals 300-second segments into 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 hourly event opens with a ladder of price bands. The recording follows every open band that carries a resting YES bid. Bands near the current Dogecoin price produce several rows a minute. Far bands produce a row only when their book changes.
- Freshness: the recorder seals a segment every 300 seconds and each segment becomes a new table version.
Columns
ticker: the Kalshi market ticker, for example KXDOGE-26SEP1012-T1749.99, naming the window and the band.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 hourly Dogecoin price band at any second.
- Measuring spread, depth and imbalance across bands as the window approaches settlement.
- Comparing range bands with the corresponding hourly Dogecoin above/below threshold markets.
- 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 Dogecoin reference price at the end of each hourly 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 healthLivekalshi_doge1h_range_orderbookTable detailsNamekalshi_doge1h_range_orderbookColumns10 Table overviewPublished rows457,574Columns10 rows10 cols Update detailsStatusLiveLast published22 Sept 2026 | Table overviewPublished rows457,574Columns10 | 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 · 457,574 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 · dogecoin +3


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