Kalshi closest house race Historical Data
Every Kalshi “closest house race” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 63 trading days as day bundles, €1 per day, bought as a guest with instant download.
closest house race on Kalshi — activity
Trades and USD turnover summed over every contract of the series across 21 captured days to 2026-10-12, from the recorded tick data — the per-day averages divide by the captured days. Buy share, quoted spread (in contract price cents, 0..1 = 100 ¢), best-bid/ask depth and Level-2 update counts are turnover-weighted over the same window.
One purchase, the whole series for a day
A series-day bundle contains every closest house race contract that was listed on Kalshi on that UTC day — traded or not — 34 contract files on the latest covered day. Each file carries the full raw feed: every trade print with price, size and side, plus Level-2 order-book updates, in the same zstd-compressed schema as our crypto venues. Event contracts quote 0..1; turnover is USD-normalized.
Coverage runs August 2026 – present — 63 trading days, 13.8 MB compressed in total. A day typically holds 34 contract files (up to 34 on the busiest day, 669 KB). Pick individual days in the shop calendar for €1 each; delivery is an instant per-file download or one archive for the whole day.
closest house race — development since capture
0 trades and $0 of USD turnover over 22 captured days since 2026-09-22 — record day 2026-09-22 with $0, biggest single contract KXCLOSESTHOUSE-27JAN03-WI03 (CLOSESTHOUSE · WI03) (2026-09-22, $0).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 13 | 0 | $0 | $0 | 0 | 40.3K | — |
| Sep 2026 | 9 | 0 | $0 | $0 | 0 | 54.2K | — |
Kalshi closest house race — 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.
closest house race — activity by weekday
Mondays carry the most turnover, about $0 per day.
| Weekday (UTC) | Avg turnover / day | USD | Avg trades | Days |
|---|---|---|---|---|
| Monday | $0 | 0 | 3 | |
| Tuesday | $0 | 0 | 3 | |
| Wednesday | $0 | 0 | 3 | |
| Thursday | $0 | 0 | 3 | |
| Friday | $0 | 0 | 3 | |
| Saturday | $0 | 0 | 3 | |
| Sunday | $0 | 0 | 3 |
Kalshi closest house race — 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 —.
closest house race — last 30 days in the archive
Files, size, contracts traded, trades, USD turnover, buy share, quoted spread, top-of-book depth and order-book updates per UTC day, from the recorded tick data.
| UTC day | Files | Size | Traded | Trades | Turnover | Buy share | Avg spread | Top-1 depth | L2 updates | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-21 | 34 | 197 KB | 0 | 0 | $0 | — | — | — | 2.3K | Buy day → | |
| 2026-10-20 | 34 | 146 KB | 0 | 0 | $0 | — | — | — | 1.9K | Buy day → | |
| 2026-10-19 | 34 | 166 KB | 0 | 0 | $0 | — | — | — | 2.3K | Buy day → | |
| 2026-10-18 | 34 | 136 KB | 0 | 0 | $0 | — | — | — | 1.7K | Buy day → | |
| 2026-10-17 | 34 | 136 KB | 0 | 0 | $0 | — | — | — | 1.7K | Buy day → | |
| 2026-10-16 | 34 | 147 KB | 0 | 0 | $0 | — | — | — | 1.9K | Buy day → | |
| 2026-10-15 | 34 | 162 KB | 0 | 0 | $0 | — | — | — | 2.1K | Buy day → | |
| 2026-10-14 | 34 | 145 KB | 0 | 0 | $0 | — | — | — | 1.8K | Buy day → | |
| 2026-10-13 | 34 | 145 KB | 0 | 0 | $0 | — | — | — | 2.0K | Buy day → | |
| 2026-10-12 | 34 | 171 KB | 0 | 0 | $0 | — | — | — | 2.3K | Buy day → | |
| 2026-10-11 | 34 | 137 KB | 0 | 0 | $0 | — | — | — | 1.6K | Buy day → | |
| 2026-10-10 | 34 | 143 KB | 0 | 0 | $0 | — | — | — | 1.8K | Buy day → | |
| 2026-10-09 | 34 | 177 KB | 0 | 0 | $0 | — | — | — | 3.0K | Buy day → | |
| 2026-10-08 | 34 | 194 KB | 0 | 0 | $0 | — | — | — | 3.2K | Buy day → | |
| 2026-10-07 | 34 | 166 KB | 0 | 0 | $0 | — | — | — | 2.3K | Buy day → | |
| 2026-10-06 | 34 | 201 KB | 0 | 0 | $0 | — | — | — | 3.3K | Buy day → | |
| 2026-10-05 | 34 | 164 KB | 0 | 0 | $0 | — | — | — | 2.3K | Buy day → | |
| 2026-10-04 | 34 | 146 KB | 0 | 0 | $0 | — | — | — | 2.0K | Buy day → | |
| 2026-10-03 | 34 | 179 KB | 0 | 0 | $0 | — | — | — | 2.0K | Buy day → | |
| 2026-10-02 | 34 | 181 KB | 0 | 0 | $0 | — | — | — | 2.2K | Buy day → | |
| 2026-10-01 | 34 | 577 KB | 0 | 0 | $0 | — | — | — | 12.4K | Buy day → | |
| 2026-09-30 | 34 | 669 KB | 0 | 0 | $0 | — | — | — | 14.5K | Buy day → | |
| 2026-09-29 | 34 | 464 KB | 0 | 0 | $0 | — | — | — | 9.7K | Buy day → | |
| 2026-09-28 | 34 | 229 KB | 0 | 0 | $0 | — | — | — | 4.0K | Buy day → | |
| 2026-09-27 | 34 | 312 KB | 0 | 0 | $0 | — | — | — | 5.9K | Buy day → | |
| 2026-09-26 | 34 | 344 KB | 0 | 0 | $0 | — | — | — | 6.6K | Buy day → | |
| 2026-09-25 | 34 | 269 KB | 0 | 0 | $0 | — | — | — | 4.5K | Buy day → | |
| 2026-09-24 | 34 | 250 KB | 0 | 0 | $0 | — | — | — | 4.1K | Buy day → | |
| 2026-09-23 | 34 | 191 KB | 0 | 0 | $0 | — | — | — | 3.2K | Buy day → | |
| 2026-09-22 | 34 | 135 KB | 0 | 0 | $0 | — | — | — | 1.6K | Buy day → |
Traded = contracts with at least one trade that day. Buy share = taker-buy side of USD turnover. Avg spread = quoted bid-ask spread in contract price cents (0..1 = 100 ¢), weighted by turnover across the day’s contracts. Top-1 depth = mean of the best bid and best ask notional in USD, weighted by turnover. L2 updates = order-book level updates recorded across all contracts of the day. Days captured before the extended statistics show —.
Latest closest house race contracts
The 24 largest closest house race contract files recorded on 2026-10-21— every contract of the series is inside that day's bundle; single contracts can also be bought as individual day files. Per-contract trades, turnover and prices appear here once the daily statistics have captured this series.
- KXCLOSESTHOUSE-27JAN03-NY21 6.27 KB buy file →
- KXCLOSESTHOUSE-27JAN03-TX23 6.24 KB buy file →
- KXCLOSESTHOUSE-27JAN03-NC01 6.16 KB buy file →
- KXCLOSESTHOUSE-27JAN03-ME02 6.03 KB buy file →
- KXCLOSESTHOUSE-27JAN03-FL07 5.98 KB buy file →
- KXCLOSESTHOUSE-27JAN03-TX35 5.93 KB buy file →
- KXCLOSESTHOUSE-27JAN03-IA03 5.92 KB buy file →
- KXCLOSESTHOUSE-27JAN03-MT01 5.92 KB buy file →
- KXCLOSESTHOUSE-27JAN03-NY17 5.90 KB buy file →
- KXCLOSESTHOUSE-27JAN03-NV02 5.82 KB buy file →
- KXCLOSESTHOUSE-27JAN03-CO03 5.82 KB buy file →
- KXCLOSESTHOUSE-27JAN03-VA01 5.81 KB buy file →
- KXCLOSESTHOUSE-27JAN03-NC11 5.81 KB buy file →
- KXCLOSESTHOUSE-27JAN03-OH09 5.80 KB buy file →
- KXCLOSESTHOUSE-27JAN03-WI01 5.79 KB buy file →
- KXCLOSESTHOUSE-27JAN03-FL13 5.78 KB buy file →
- KXCLOSESTHOUSE-27JAN03-MI04 5.78 KB buy file →
- KXCLOSESTHOUSE-27JAN03-SC01 5.77 KB buy file →
- KXCLOSESTHOUSE-27JAN03-MI10 5.77 KB buy file →
- KXCLOSESTHOUSE-27JAN03-TX34 5.73 KB buy file →
- KXCLOSESTHOUSE-27JAN03-IA02 5.72 KB buy file →
- KXCLOSESTHOUSE-27JAN03-FL25 5.71 KB buy file →
- KXCLOSESTHOUSE-27JAN03-AZ02 5.71 KB buy file →
- KXCLOSESTHOUSE-27JAN03-FL22 5.70 KB buy file →
Try a closest house race contract file for free
The busiest contract of a settled day, byte-identical to the files in the paid bundle — download the native tick file, a CSV/Parquet export, or replay its order book in the browser.
KXCLOSESTHOUSE-27JAN03-FL07 minute by minute — 2026-10-12
One-minute open/high/low/close, trades, USD turnover, quoted spread and top-of-book depth of the sample contract — the same 1-minute statistics every instrument’s analytics page offers.
Build a closest house race model on this data
Every resolved closest house race contract is a labelled example that trades for weeks or months, not minutes: the label is the race outcome, the margin bucket or the nominee, and the signal in between is mostly the order book — quotes move on news while trades stay sparse. The day bundle holds each contract's full Level-2 book path and every trade of that UTC day, nanosecond-stamped; the statistics on this page cover the most traded contracts per day; the bundle holds every contract listed on Kalshi that day.
Split by election cycle and by race, never at random — months of quotes on one contract are one regime, and a random split leaks the result backwards; validate across races and cycles, not within one. The election-markets guide works thin books, book updates as the main signal and calibration over months through.
Purchased data is for your own use — backtesting, research, analytics and training your own models, in-house or in your own products; the trained models and derived data you build from it are yours. The raw files and tick streams themselves may not be redistributed, resold or published. The full terms are on the data license page.
Why buy Kalshi closest house race 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.
Agents: /llms.txt · MCP server /mcp · every page as markdown via Accept: text/markdown
Kalshi closest house race data — FAQ
What Kalshi closest house race data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the closest house race series on Kalshi (34 contract files on the latest day). One bundle = one UTC day of the whole series.
What is the Kalshi series ticker for closest house race?
KXCLOSESTHOUSE — every contract of the series carries this prefix in its ticker (followed by the event date and strike). Files in a day bundle are named by the full contract ticker, so a bundle holds every KXCLOSESTHOUSE-* contract listed that UTC day.
How far back does the closest house race data go?
Coverage runs August 2026 – present — 63 trading days in total.
What format are the Kalshi files in?
One zstd-compressed text file per contract per UTC day, in the same normalized schema as our crypto venues — see the market-data specification; free samples on the downloads page.
Can I get Kalshi closest house race 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 Kalshi closest house race historical data cost?
€1 per series-day bundle — every contract of the series for that day — no subscription, no minimum order; buy as a guest in the Data Shop and download immediately. Credit packs lower the effective price and never expire.
Do I need an account or a sales call?
No. Pick the closest house race 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 Kalshi closest house race 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.
How many closest house race contracts trade per day on Kalshi?
On average 0 closest house race contracts had at least one trade per UTC day over the last 21 captured days on Kalshi, with about 4.4K order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.
What was the busiest closest house race trading day on Kalshi?
2026-09-22, with $0 of USD turnover over 0 trades across every closest house race contract of the day; the busiest full month was Sep 2026 at $0. Since our statistics began on 2026-09-22 the series has recorded 0 trades and $0 over 22 captured days; the single biggest contract was KXCLOSESTHOUSE-27JAN03-WI03 (CLOSESTHOUSE · WI03) on 2026-09-22 with $0. Any of these days is a downloadable bundle.