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Polymarket · Climate · daily

Polymarket Daily High Temperature — Jakarta D

Every Polymarket “Daily High Temperature — Jakarta” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 49 trading days as day bundles, €1 per day, bought as a guest with instant download.

Trading days
49
Coverage
April 2026 – May 2026
Archive size
5.00 GB
Price per day
€1
Activity & identifier

Daily High Temperature — Jakarta on Polymarket — 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.

Slug prefix
highest-temperature-in-jakarta-
Files on latest day
11
Typical files / day
36
What's in a bundle

One purchase, the whole series for a day

A series-day bundle contains every Daily High Temperature — Jakarta contract that was listed on Polymarket on that UTC day — traded or not — 11 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 April 2026 – May 2026 — 49 trading days, 5.00 GB compressed in total. A day typically holds 36 contract files (up to 66 on the busiest day, 204 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.

Daily statistics

Daily High Temperature — Jakarta — 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
2026-05-21111.24 MBBuy day →
2026-05-202221.1 MBBuy day →
2026-05-19223.49 MBBuy day →
2026-05-183313.8 MBBuy day →
2026-05-1737173 MBBuy day →
2026-05-1633123 MBBuy day →
2026-05-1533112 MBBuy day →
2026-05-1433109 MBBuy day →
2026-05-1333188 MBBuy day →
2026-05-1227196 MBBuy day →
2026-05-113195.4 MBBuy day →
2026-05-1033149 MBBuy day →
2026-05-0933119 MBBuy day →
2026-05-0833109 MBBuy day →
2026-05-073373.4 MBBuy day →
2026-05-0633125 MBBuy day →
2026-05-0533150 MBBuy day →
2026-05-0433122 MBBuy day →
2026-05-0339133 MBBuy day →
2026-05-0233141 MBBuy day →
2026-05-0133139 MBBuy day →
2026-04-3032135 MBBuy day →
2026-04-293396.5 MBBuy day →
2026-04-283373.8 MBBuy day →
2026-04-2733134 MBBuy day →
2026-04-2633127 MBBuy day →
2026-04-253380.7 MBBuy day →
2026-04-2433148 MBBuy day →
2026-04-2333204 MBBuy day →
2026-04-2233152 MBBuy 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 Polymarket Daily High Temperature — Jakarta 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

Polymarket Daily High Temperature — Jakarta data — FAQ

What Polymarket Daily High Temperature — Jakarta data can I download?

Tick-by-tick trades and Level-2 order-book depth for every contract of the Daily High Temperature — Jakarta series on Polymarket (11 contract files on the latest day). One bundle = one UTC day of the whole series.

How far back does the Daily High Temperature — Jakarta data go?

Coverage runs April 2026 – May 2026 — 49 trading days in total.

What format are the Polymarket 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 Polymarket Daily High Temperature — Jakarta 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. Polymarket 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 Polymarket Daily High Temperature — Jakarta 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 Daily High Temperature — Jakarta 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 Polymarket Daily High Temperature — Jakarta 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