predict.fun Historical Market Data — Every Tick, €1 a Day
Every message of the predict.fun market-data feed — tick-by-tick trades, Level-2 order-book updates at full depth and quotes, not candles — for 1,974 instruments (perpetual swaps), captured co-located with nanosecond timestamps and normalized into one schema, with 1-minute OHLCV derived from it. Any instrument-day is €1 — buy as a guest, download instantly.
Every predict.fun message type, one schema
Every predict.fun print — price, size, side and exchange timestamp — at full resolution, not sampled.
Every Level-2 snapshot and update at the venue's full book depth, plus top-of-book where the venue publishes it — nanosecond venue and receive timestamps, so predict.fun liquidity and slippage replay exactly.
Open/high/low/close, volume and VWAP per minute — ready for backtests and predict.fun signal research.
Bid-ask spreads in bps and ticks, normalized into one schema across every venue for apples-to-apples predict.fun comparison.
How to download predict.fun historical data
- Open the Data Shop — it lands on the most-recorded predict.fun instrument; every other instrument on this page links straight to its own day calendar.
- Pick a UTC day in the calendar. Each day is one file with every trade, order-book update and quote the venue published — the shop shows the day's candle and file size before you buy.
- Try a free sample day first — one complete day, same schema, no sign-up.
- Check out as a guest — pay by card, no account, no sales call — and the file downloads immediately at €1 per instrument-day. Buying many days? Select them across the calendar or use the scanner bulk-add.
- Need CSV or Parquet instead of the native tick file? Append
?format=to any download — see the formats overview. Coding agents can do all of this through the MCP server.
Most-recorded predict.fun instruments
Ranked by archive size. Open any instrument for live analytics, or download its full history.
predict.fun tick size, lot size and contract rules
The trading rules predict.fun publishes for its most-recorded instruments — tick size, lot size, minimum order, contract size and funding interval.
| Instrument | Tick size | Lot size | Min order · notional | Contract size | Funding | Listed |
|---|---|---|---|---|---|---|
| lol-pt-wpe1-2026-10-10_match-winner_3087889 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| cs2-orgles-mandl-2026-10-10_match-winner_3092709 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| lol-esse-nh1-2026-10-10_match-winner_3087890 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-nuj-gam-2026-10-13_draw_3086756 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-alw-aas-2026-10-12_draw_3087287 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-nuj-gam-2026-10-13_nuj_3086750 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-alw-aas-2026-10-12_aas_3087288 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-nuj-gam-2026-10-13_gam_3086758 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-alw-aas-2026-10-12_alw_3087286 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-kyo-rat-2026-10-13_kyo_3086748 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-itj-sah-2026-10-13_itj_3086749 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
| acle-quw-ain-2026-10-12_ain_3087285 Perpetual · linear · stats | 0.01 | 1 | — | — | — | — |
Exchange-published instrument rules as synced on 2026-10-10: tick size = smallest price step, lot size = smallest quantity step, minimums as order quantity in base units · notional in quote currency, contract size per contract, funding = settlement interval of the perpetual. Every day file carries the same fields in its first line. Venues change these rules — check the venue before trading.
Market structure & coverage
predict.fun tick data has been recorded since October 2026, with new days added daily across perpetual swaps. The archive holds 1,974 instruments over 1 base assets, for 217 MB of recorded market data. Each day is one complete tick file — not a snapshot or candle feed — at €1 per instrument-day, self-service, with no subscription.
predict.fun trading activity — turnover, trades and trend
What our tick archive recorded on predict.fun: whole-venue USD turnover and trade counts per window, the month-by-month development and the split by instrument class.
Over the 30 days to 2026-10-09, our tick capture recorded 525,523 trades and $7.1M of USD turnover on predict.fun across 16,792 active instruments — an average of $7.1M per day.
Whole-venue totals from every trade print in our own co-located tick capture (1 recorded days in the last 365, window ending 2026-10-09) — not venue-reported volume. Averages are over recorded days only.
| Month | Turnover (USD) | Trades | Avg / day | Days | vs previous month |
|---|---|---|---|---|---|
| Oct 2026 (month to date) | $7.1M | 525.5K | $7.1M | 1 | — |
predict.fun — USD turnover and trade counts summed per calendar month (UTC) from our tick archive. Days = UTC days with recorded activity; a partial month shows no month-over-month change.
predict.fun — USD turnover per day, last 30 days
Summed over every recorded instrument of the venue, from the trade prints in our tick archive.
| UTC day | Turnover (USD) | Trades | vs previous day |
|---|---|---|---|
| 2026-10-09 | $7.1M | 525.5K | — |
USD turnover and trade counts summed over every recorded predict.fun instrument per UTC day, from the trade prints in our tick archive — the same series as the live analytics chart on the exchanges overview.
Why buy predict.fun 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 historical data — FAQ
What predict.fun historical market data can I download?
Tick-by-tick trades, Level-2 order-book depth, 1-minute OHLCV/VWAP and bid-ask spreads for 1,974 predict.fun instruments across perpetual swaps. Each file is one instrument for one UTC day.
How far back does predict.fun data go?
predict.fun coverage runs October 2026 – present. Each day is one complete tick file — not a snapshot or candle feed — at €1 per instrument-day, self-service, with no subscription. Availability varies per instrument — check the per-instrument calendar on the analyze page.
Do you provide predict.fun order-book and L2 depth data?
Yes — every file carries the full Level-2 book as the venue published it: one snapshot, then every incremental update at the venue's full depth, plus top-of-book where predict.fun publishes a separate stream, alongside the raw trade stream — one schema across all venues.
Do you record every predict.fun instrument, or only the top pairs?
Every instrument predict.fun lists, every message it publishes, every UTC day since we added the venue — 1,974 instruments so far. No top-N cut, no sampling, no capture on demand; the archive is the complete feed, recorded co-located with nanosecond timestamps.
What format are the predict.fun data files in?
One zstd-compressed text file per instrument per UTC day, in the schema documented in the market-data specification. Grab free samples on the downloads page.
Can I download predict.fun data as CSV or Parquet?
Yes — every free sample and every purchased tick day also exports as gzipped CSV or Parquet at no extra cost: trades and liquidations (derivatives, 2026 onward) in both formats, plus top-of-book (BBO) quotes as CSV. Timestamps are integer microseconds UTC and the columns load straight into pandas, polars or DuckDB — see the formats overview.
How much does predict.fun historical data cost?
€1 per predict.fun instrument-day — no subscription, no minimum order, no account needed: buy as a guest, download instantly, or use credit packs that never expire. Free full-day samples first on the downloads page; details on pricing.
How much volume does predict.fun trade per day?
Over the 30 days to 2026-10-09 our tick capture recorded $7.1M of USD turnover on predict.fun, about $7.1M per UTC day across 16,792 active instruments. The figures are summed from every trade print in the archive, not from venue-reported volume.
How many trades per day happen on predict.fun?
525,523 trades in the 30 days to 2026-10-09 — about 525.5K per UTC day, with an average trade size of $13. Every one of these prints is in the predict.fun instrument-day files, with nanosecond exchange timestamps and the order-book state around it.
What was the busiest predict.fun trading day in the archive?
2026-10-09, with $7.1M of USD turnover over 525,523 trades (365-day window ending 2026-10-09). Any of these days can be downloaded per instrument from the shop.
What is the tick size of the top predict.fun instruments?
The smallest price step per instrument — lol-pt-wpe1-2026-10-10_match-winner_3087889 (perpetual): 0.01; cs2-orgles-mandl-2026-10-10_match-winner_3092709 (perpetual): 0.01; lol-esse-nh1-2026-10-10_match-winner_3087890 (perpetual): 0.01; acle-nuj-gam-2026-10-13_draw_3086756 (perpetual): 0.01; acle-alw-aas-2026-10-12_draw_3087287 (perpetual): 0.01; acle-nuj-gam-2026-10-13_nuj_3086750 (perpetual): 0.01. The smallest quantity step (lot size) — lol-pt-wpe1-2026-10-10_match-winner_3087889 (perpetual): 1; cs2-orgles-mandl-2026-10-10_match-winner_3092709 (perpetual): 1; lol-esse-nh1-2026-10-10_match-winner_3087890 (perpetual): 1; acle-nuj-gam-2026-10-13_draw_3086756 (perpetual): 1; acle-alw-aas-2026-10-12_draw_3087287 (perpetual): 1; acle-nuj-gam-2026-10-13_nuj_3086750 (perpetual): 1. The instrument-specifications table on this page lists every row. Values as synced from the venues on 2026-10-10; exchanges change these rules, so check the venue before trading.