The W.E.T. Data Desk

Historical Odds. Take the Data.

Nobody packages neutral, cross-venue prediction-market history — venue exports speak one venue, and scraped datasets rot. This desk publishes the corpus behind every page on this site as three downloadable files: the final pre-close read on every settled market, the daily implied-probability path on every market we track, and the full structured record across Kalshi and Polymarket. Free, no signup, no API key.

104

Settled archives

1.7K

Daily price points

681

Markets tracked

9 · 2

Categories · Venues

Counts computed live from the corpus · data as of Jul 22, 2026.

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The RecordCSV

Settled markets — final reads

One row per settled market: the final pre-close implied probability, the favorite it backed, total traded volume, and the cross-venue divergence where both venues priced it. Join it against real outcomes and you are measuring prediction-market calibration.

slugtitlecategoryvenuefavoritefinal_probabilitytotal_volume_usdpublished_atsettled_atevent_timemarkets_trackeddivergence

104 rows · saves as wet-settled-markets.csv

Download

Free · attribution appreciated — link worldeventtrading.com

The GoldCSV

Daily odds paths — long format

Every daily implied-probability point for every tracked market's favorite, tidy long format — one row per market per day. This is the file venue exports don't give you: how the price actually moved on the way to settlement, ready for pandas, R, or a pivot table.

slugdateimplied_probability

1.7K rows · saves as wet-odds-history.csv

Download

Free · attribution appreciated — link worldeventtrading.com

The FirehoseJSON

Full structured corpus

Open and settled markets as machine-readable JSON: consensus with the aligned Kalshi-vs-Polymarket split, the full outcome ladder per venue, matched news signals, and the complete history array on every record.

consensusvenue_probsmarkets[]history[]news_signals[]

681 records · saves as wet-predictions.json

Download

Free · attribution appreciated — link worldeventtrading.com

Honest limits

History starts the day W.E.T. first tracked a market and is daily-resolution snapshot data — not tick history, and not backfilled to listing day.
final_probability is the last pre-close read we captured, not the venue's official resolution. Resolutions are published by the venues; comparing the two across many markets is exactly how calibration is measured.
Volume is combined USD traded across the event's tracked markets as of our final snapshot. How every number is computed is documented in the methodology.

Data dictionary

Column-level documentation for the CSV files — types, units, and the honest edge cases.

wet-settled-markets.csv

Column	Type	Description
slug	string	Stable market id; the page lives at /predictions/{slug} forever.
title	string	The market question as tracked.
category	string	Category slug (sports, elections, economy, …).
venue	enum	kalshi, polymarket, or both — where the event priced.
favorite	string	The leading outcome at the final read (a team, a candidate, "Yes").
final_probability	int 0–100	The favorite's implied probability at W.E.T.'s final pre-close snapshot.
total_volume_usd	int	Combined USD traded across the event's tracked markets.
published_at	ISO date	When W.E.T. first published the tracked page.
settled_at	ISO date	When the page converted to a settled archive.
event_time	ISO datetime	When the real-world event happened/resolved; empty when the venue listed none.
markets_tracked	int	Outcome rows tracked for the event (the ladder depth).
divergence	int pts / empty	Kalshi-vs-Polymarket gap on the favorite; empty for single-venue markets. Check any gap with the arbitrage calculator.

wet-odds-history.csv

Column	Type	Description
slug	string	Joins to wet-settled-markets.csv and the JSON corpus.
date	ISO date	UTC; one row per market per day.
implied_probability	int 0–100	The favorite's implied probability that day.

wet-predictions.json

Self-describing envelope — dataset, license, as_of, counts, then markets[] with snake_case fields mirroring the CSVs plus the full per-venue outcome ladder (markets[]), matched headlines (news_signals[]), and the odds path (history[]).

License & citation

Free for research and journalism

Use the files for research, journalism, and education, free, with attribution — name "W.E.T. (World Event Trading)" and link to worldeventtrading.com wherever the data appears. The prices themselves are public market data from Kalshi and Polymarket; what you are downloading is W.E.T.'s compilation: cross-venue alignment, favorite normalization, daily snapshotting, and settlement freezing. Please don't republish the raw files as-is or pass the collection off as your own. Prediction-market prices are information, not investment advice.

Data: W.E.T. — World Event Trading, worldeventtrading.com/predictions/archive

Need a custom pull?

The public files are the standard cut. If you need the full outcome ladders over time, a category or topic slice, scheduled exports, or API access to the live corpus, the desk builds custom pulls — tell us what you're working on and we'll scope it.

Contact the desk →

The settled archive

104 markets

Every entry is a permanent per-market page — final read, odds path, and matched headlines, frozen at settlement.

Historical Odds. Take the Data.

Get the data

Settled markets — final reads

Daily odds paths — long format

Full structured corpus

Data dictionary

wet-settled-markets.csv

wet-odds-history.csv

wet-predictions.json

Free for research and journalism

Need a custom pull?

The settled archive

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"The Odyssey" Opening Weekend Box Office — Odds & Probability

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What price will Bitcoin hit July 13-19? — Odds & Probability

World Cup: Finals Exact Matchup — Odds & Probability

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World Cup: Golden Boot Winner — Odds & Probability

World Cup: Nation to Reach Final — Odds & Probability

World Cup: Player to score — Odds & Probability

World Cup Winner — Odds & Probability

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What will the announcers say during France vs England World Cup Match? — O

Fight Night: Elliott vs Anderson: Prediction, Odds & Probability

Fight Night: Rodrigues Jr vs Franco: Prediction, Odds & Probability

PGA Tour: The Open Championship Top 10 — Odds & Probability

PGA Tour: The Open Championship Winner — Odds & Probability

Spain vs. Argentina: Prediction, Odds & Probability

Fight Night: Harris vs Hines: Prediction, Odds & Probability

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Fight Night: Ricci vs Kline: Prediction, Odds & Probability

World Cup: England Stage of Elimination — Odds & Probability

Fight Night: Bashi vs Delgado: Prediction, Odds & Probability

Fight Night: Cannonier vs Duncan: Prediction, Odds & Probability

Fight Night: Coria vs Nicoll: Prediction, Odds & Probability

Fight Night: Du Plessis vs Usman: Prediction, Odds & Probability

Fight Night: Hooper vs Ramirez: Prediction, Odds & Probability

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Fight Night: McMillen vs Montes: Prediction, Odds & Probability

PGA Tour: Corales Puntacana Championship Top 20 — Odds & Probability

World Cup: Argentina Stage of Elimination — Odds & Probability

World Cup: France Stage of Elimination — Odds & Probability

World Cup: Spain Stage of Elimination — Odds & Probability

Dota 2: BetBoom Team vs Vici Gaming (BO3) - Esports World Cup Playoffs: Pr

LoL: Gen.G vs Dplus KIA (BO3) - Esports World Cup Playoffs: Prediction, Od