Kalshi WHO WIL HAVE A #1 song on Spotify Dat
Every Kalshi “WHO WIL HAVE A #1 song on Spotify ” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 152 trading days as day bundles, €1 per day, bought as a guest with instant download.
WHO WIL HAVE A #1 song on Spotify on Kalshi — activity
Per-day trade and turnover statistics exist from July 2026 onward — a limit of the statistics, not of the capture: older days are archived in full (every contract, every message) without a statistics row.
One purchase, the whole series for a day
A series-day bundle contains every WHO WIL HAVE A #1 song on Spotify contract that was listed on Kalshi on that UTC day — traded or not — 52 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 March 2026 – August 2026 — 152 trading days, 300 MB compressed in total. A day typically holds 50 contract files (up to 102 on the busiest day, 24.4 MB). Pick individual days in the shop calendar for €1 each; delivery is an instant per-file download or one archive for the whole day.
WHO WIL HAVE A #1 song on Spotify — 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 | Notes | |
|---|---|---|---|---|
| 2026-08-02 | 52 | 62.6 KB | Buy day → | |
| 2026-08-01 | 52 | 564 KB | Buy day → | |
| 2026-07-31 | 52 | 1.30 MB | Buy day → | |
| 2026-07-30 | 52 | 485 KB | Buy day → | |
| 2026-07-29 | 52 | 1.08 MB | Buy day → | |
| 2026-07-28 | 52 | 527 KB | Buy day → | |
| 2026-07-27 | 52 | 1.42 MB | Buy day → | |
| 2026-07-26 | 53 | 1.13 MB | Buy day → | |
| 2026-07-25 | 53 | 1.37 MB | Buy day → | |
| 2026-07-24 | 53 | 7.29 MB | Buy day → | |
| 2026-07-23 | 53 | 4.41 MB | Buy day → | |
| 2026-07-22 | 53 | 3.44 MB | Buy day → | |
| 2026-07-21 | 53 | 2.94 MB | Buy day → | |
| 2026-07-20 | 53 | 1.50 MB | Buy day → | |
| 2026-07-19 | 53 | 2.43 MB | Buy day → | |
| 2026-07-18 | 53 | 2.38 MB | Buy day → | |
| 2026-07-17 | 53 | 1012 KB | Buy day → | |
| 2026-07-16 | 53 | 1.70 MB | Buy day → | |
| 2026-07-15 | 53 | 1.91 MB | Buy day → | |
| 2026-07-14 | 53 | 2.25 MB | Buy day → | |
| 2026-07-13 | 53 | 2.57 MB | Buy day → | |
| 2026-07-12 | 53 | 4.50 MB | Buy day → | |
| 2026-07-11 | 53 | 3.52 MB | Buy day → | |
| 2026-07-10 | 53 | 9.06 MB | Buy day → | |
| 2026-07-09 | 54 | 2.99 MB | Buy day → | |
| 2026-07-08 | 54 | 3.60 MB | Buy day → | |
| 2026-07-07 | 54 | 5.02 MB | Buy day → | |
| 2026-07-06 | 54 | 2.81 MB | Buy day → | |
| 2026-07-05 | 54 | 3.52 MB | Buy day → | |
| 2026-07-04 | 54 | 3.21 MB | Buy day → |
Trades and turnover per day appear here once our daily statistics have captured this series — normally the morning UTC after a day closes.
Latest WHO WIL HAVE A #1 song on Spotify contracts
The 24 largest WHO WIL HAVE A #1 song on Spotify contract files recorded on 2026-08-02— 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.
- KXRANKLISTSONGSPOTUSA-26AUG01-DRA 1.84 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-JUS 1.62 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-BTS 1.51 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-OLII 1.42 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-ARI 1.42 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-MAL 1.38 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-NOA 1.31 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-CHR 1.31 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-MIC 1.30 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-DOM 1.27 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-JCO 1.26 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-SAB 1.25 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-FUT 1.25 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-ZAR 1.25 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-SOM 1.24 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-SHE 1.24 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-DJO 1.24 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-TWE 1.24 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-BAB 1.23 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-JOJ 1.23 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-KEN 1.23 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-SHA 1.22 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-ASA 1.22 KB buy file →
- KXRANKLISTSONGSPOTUSA-26AUG01-TAY 1.21 KB buy file →
Why buy Kalshi WHO WIL HAVE A #1 song on Spotify 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 WHO WIL HAVE A #1 song on Spotify data — FAQ
What Kalshi WHO WIL HAVE A #1 song on Spotify data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the WHO WIL HAVE A #1 song on Spotify series on Kalshi (52 contract files on the latest day). One bundle = one UTC day of the whole series.
What is the Kalshi series ticker for WHO WIL HAVE A #1 song on Spotify ?
KXRANKLISTSONGSPOTUSA — 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 KXRANKLISTSONGSPOTUSA-* contract listed that UTC day.
How far back does the WHO WIL HAVE A #1 song on Spotify data go?
Coverage runs March 2026 – August 2026 — 152 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 WHO WIL HAVE A #1 song on Spotify 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 WHO WIL HAVE A #1 song on Spotify 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 WHO WIL HAVE A #1 song on Spotify 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 WHO WIL HAVE A #1 song on Spotify 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.