predict.fun GOOGL Up/Down 15m Historical Data
Every predict.fun “GOOGL Up/Down 15m” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 2 trading days as day bundles, €1 per day, bought as a guest with instant download.
GOOGL Up/Down 15m on predict.fun — activity
Trades and USD turnover summed over every contract of the series across 2 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 GOOGL Up/Down 15m contract that was listed on predict.fun on that UTC day — traded or not — 26 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 October 2026 – present — 2 trading days, 2.86 MB compressed in total. A day typically holds 26 contract files (up to 26 on the busiest day, 1.52 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.
GOOGL Up/Down 15m — development since capture
265 trades and $2.7K of USD turnover over 2 captured days since 2026-10-09 — record day 2026-10-12 with $1.4K, biggest single contract googl-updown-15m-1791830700_alphabet-inc-up-or-down-octo_3206668 (2026-10-12, $601.79).
| Month | Days | Trades | Turnover (USD) | Avg / day | Contracts traded | L2 updates | vs previous month |
|---|---|---|---|---|---|---|---|
| Oct 2026 (month to date) | 2 | 265 | $2.7K | $1.3K | 51 | 294.3K | — |
predict.fun GOOGL Up/Down 15m — 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.
GOOGL Up/Down 15m — how contracts resolved, last 2 days
Of 12 resolved GOOGL Up/Down 15m contracts over the 2 captured days to 2026-10-12, 58 % closed Up and 42 % closed Down by their last print — 265 trades and $2.7K of turnover, about 5 trades per contract.
| UTC day | Contracts | Closed Up | Closed Down | Up share | Trades / contract | Turnover / contract | Turnover |
|---|---|---|---|---|---|---|---|
| 2026-10-12 | 25 | 2 | 3 | 40 % | 5 | $55.81 | $1.4K |
| 2026-10-09 | 26 | 5 | 2 | 71 % | 6 | $48.86 | $1.3K |
| Total | 51 | 7 | 5 | 58 % | 5 | $52.27 | $2.7K |
Outcome implied by each contract's last recorded print (≥ 0.97 = Up, ≤ 0.03 = Down; the rest still open at the last print) — venues publish the official results, we record the market. Every contract of the day is counted for this series; trades and USD turnover come from the tick archive.
GOOGL Up/Down 15m — activity by weekday and hour
Mondays carry the most turnover, about $1.4K per day. Contracts ending 19:00–19:59 UTC take 40 % of the series' turnover.
| Window ends (UTC) | Turnover | USD | Share | Trades | Contracts |
|---|---|---|---|---|---|
| 13:00–13:59 | $47.56 | 1.8 % | 8 | 2 | |
| 14:00–14:59 | $321.38 | 12.1 % | 48 | 8 | |
| 15:00–15:59 | $273.03 | 10.2 % | 37 | 8 | |
| 16:00–16:59 | $420.62 | 15.8 % | 36 | 8 | |
| 17:00–17:59 | $216.86 | 8.1 % | 53 | 8 | |
| 18:00–18:59 | $188.52 | 7.1 % | 25 | 7 | |
| 19:00–19:59 | $1.1K | 40.4 % | 44 | 8 | |
| 20:00–20:59 | $120.97 | 4.5 % | 14 | 2 |
predict.fun GOOGL Up/Down 15m — USD turnover and trades grouped by the UTC hour in which the contract window ends, over the newest captured days of every contract in the series; from our tick archive.
GOOGL Up/Down 15m — last 2 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-12 | 26 | 1.52 MB | 25 | 116 | $1.4K | 16 % | 2.81 ¢ | $43.36 | 157.1K | Buy day → | |
| 2026-10-09 | 26 | 1.34 MB | 26 | 149 | $1.3K | 42 % | 2.82 ¢ | $49.67 | 137.2K | 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 —.
GOOGL Up/Down 15m results by contract — 2026-10-12
Every contract of the newest captured UTC day with open, high, low, close, VWAP and the outcome implied by its last print; the six previous days fold out below. Contracts quote 0..1.
25 GOOGL Up/Down 15m contracts traded on 2026-10-12 — 2 closed Up (≥ 0.97), 3 closed Down (≤ 0.03), 20 still open at the last print: 116 trades, $1.4K USD turnover. The busiest contract was googl-updown-15m-1791830700_alphabet-inc-up-or-down-octo_3206668 with $601.79 turnover.
Prices quote 0..1 (probability of Up). Open/high/low/close/VWAP are that UTC day’s trade prints per contract; the implied outcome reads the last print — ≥ 0.97 as Up, ≤ 0.03 as Down, anything between as still open — venues publish the official result. Buy share = taker-buy side of turnover. 25 of 26 contract files of the day had trades.
2026-10-09 — 26 contracts, 149 trades, $1.3K turnover
26 GOOGL Up/Down 15m contracts traded on 2026-10-09 — 5 closed Up (≥ 0.97), 2 closed Down (≤ 0.03), 19 still open at the last print: 149 trades, $1.3K USD turnover. The busiest contract was googl-updown-15m-1791561600_alphabet-inc-up-or-down-octo_3067946 with $156.77 turnover.
How a GOOGL Up/Down 15m contract trades
On predict.fun, a GOOGL Up/Down 15m contract trades for about 3.3 h from open to close, and quotes in 1 ¢ price steps (0..1). Measured on the 25 contracts captured on 2026-10-12.
Why buy predict.fun GOOGL Up/Down 15m 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
predict.fun GOOGL Up/Down 15m data — FAQ
What predict.fun GOOGL Up/Down 15m data can I download?
Tick-by-tick trades and Level-2 order-book depth for every contract of the GOOGL Up/Down 15m series on predict.fun (26 contract files on the latest day). One bundle = one UTC day of the whole series.
How far back does the GOOGL Up/Down 15m data go?
Coverage runs October 2026 – present — 2 trading days in total.
What format are the predict.fun 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 predict.fun GOOGL Up/Down 15m 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. predict.fun 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 predict.fun GOOGL Up/Down 15m 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 GOOGL Up/Down 15m 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 predict.fun GOOGL Up/Down 15m 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 GOOGL Up/Down 15m contracts trade per day on predict.fun?
On average 26 GOOGL Up/Down 15m contracts had at least one trade per UTC day over the last 2 captured days on predict.fun, with about 147.1K order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.
How liquid are predict.fun GOOGL Up/Down 15m contracts?
Over the last 2 captured days, the turnover-weighted quoted bid-ask spread was 2.81 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $46.37 per side, 29 % of USD turnover was taker-buy. These figures are computed from the recorded Level-2 order books and trade prints — the same data in the day bundles.
What was the most traded GOOGL Up/Down 15m contract on 2026-10-12?
googl-updown-15m-1791830700_alphabet-inc-up-or-down-octo_3206668 — $601.79 USD turnover over 11 trades on predict.fun. 25 GOOGL Up/Down 15m contracts traded that UTC day (116 trades, $1.4K in total); by their last print 2 closed Up and 3 closed Down, 20 were still open. Open, high, low, close and VWAP per contract are listed on this page; the tick-level data is in the day bundle.
How often did GOOGL Up/Down 15m contracts resolve Up vs Down recently?
By their last recorded print, 58 % of 12 resolved GOOGL Up/Down 15m contracts closed Up and 42 % closed Down over the 2 captured days to 2026-10-12 on predict.fun, with about 5 trades per contract. Outcomes are implied from the market (≥ 0.97 / ≤ 0.03), not the venue's official settlement; the per-day table on this page lists every day.
What was the busiest GOOGL Up/Down 15m trading day on predict.fun?
2026-10-12, with $1.4K of USD turnover over 116 trades across every GOOGL Up/Down 15m contract of the day. Since our statistics began on 2026-10-09 the series has recorded 265 trades and $2.7K over 2 captured days; the single biggest contract was googl-updown-15m-1791830700_alphabet-inc-up-or-down-octo_3206668 on 2026-10-12 with $601.79. Any of these days is a downloadable bundle.
What time of day is GOOGL Up/Down 15m most active?
Contracts whose window ends between 19:00 and 19:59 UTC carried 40 % of the series' USD turnover over the newest 7 captured days on predict.fun. The hour-by-hour profile on this page shows the whole day; every contract file carries nanosecond exchange timestamps, so any finer profile can be computed from the bundle.