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Kalshi · Sports · event · KXNEXTMANAGERMANU

Kalshi Next Man U Manager Historical Data

Every Kalshi “Next Man U Manager” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 80 trading days as day bundles, €1 per day, bought as a guest with instant download.

Trading days
80
Coverage
March 2026 – May 2026
Archive size
11.6 MB
Price per day
€1
Activity & identifier

Next Man U Manager 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.

Series ticker
KXNEXTMANAGERMANU
Files on latest day
22
Typical files / day
22
What's in a bundle

One purchase, the whole series for a day

A series-day bundle contains every Next Man U Manager contract that was listed on Kalshi on that UTC day — traded or not — 22 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 – May 2026 — 80 trading days, 11.6 MB compressed in total. A day typically holds 22 contract files (up to 22 on the busiest day, 427 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.

Daily statistics

Next Man U Manager — 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 dayFilesSizeNotes
2026-05-222278.0 KBBuy day →
2026-05-212278.4 KBBuy day →
2026-05-202271.9 KBBuy day →
2026-05-192277.8 KBBuy day →
2026-05-182271.8 KBBuy day →
2026-05-172269.3 KBBuy day →
2026-05-162277.5 KBBuy day →
2026-05-1522159 KBBuy day →
2026-05-142280.1 KBBuy day →
2026-05-1322126 KBBuy day →
2026-05-1222102 KBBuy day →
2026-05-1122114 KBBuy day →
2026-05-1022109 KBBuy day →
2026-05-092292.8 KBBuy day →
2026-05-0822105 KBBuy day →
2026-05-0722175 KBBuy day →
2026-05-0622119 KBBuy day →
2026-05-0522334 KBBuy day →
2026-05-0422155 KBBuy day →
2026-05-0322135 KBBuy day →
2026-05-0222135 KBBuy day →
2026-05-0122105 KBBuy day →
2026-04-302289.5 KBBuy day →
2026-04-2922143 KBBuy day →
2026-04-2822113 KBBuy day →
2026-04-2722109 KBBuy day →
2026-04-2622128 KBBuy day →
2026-04-2522132 KBBuy day →
2026-04-2422143 KBBuy day →
2026-04-2322176 KBBuy day →

Trades and turnover per day appear here once our daily statistics have captured this series — normally the morning UTC after a day closes.

Why CryptoStruct

Why buy Kalshi Next Man U Manager 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.

FAQ

Kalshi Next Man U Manager data — FAQ

What Kalshi Next Man U Manager data can I download?

Tick-by-tick trades and Level-2 order-book depth for every contract of the Next Man U Manager series on Kalshi (22 contract files on the latest day). One bundle = one UTC day of the whole series.

What is the Kalshi series ticker for Next Man U Manager?

KXNEXTMANAGERMANU — 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 KXNEXTMANAGERMANU-* contract listed that UTC day.

How far back does the Next Man U Manager data go?

Coverage runs March 2026 – May 2026 — 80 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 Next Man U Manager 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 Next Man U Manager 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 Next Man U Manager 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 Next Man U Manager 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.

Topics

Topic hubs featuring this series