Kalshi Settled Markets by Category and Date, 2024–2026

One Product Family Dominates the Settlement Count

"Exotics," Kalshi's own category for its high-frequency KXMVECROSSCATEGORY combinatorial product, accounts for 37,868 of the 59,619 settled markets in this table — 63.5% of the total — despite appearing as a single row: every Exotics market in this sample settled on 2026-09-13. That concentration means Exotics should be read separately from the other 13 categories, which cover real-world topics like sports, weather, and politics and are each spread across many dates.

Among the non-Exotics categories, AI resolved YES most often at 100.0% (weighted by market count), and Companies least often at 0.0%. The overall YES rate across every settled market in the table is 17.9%. Of the 59,619 settled markets, 42,675 had a usable traded price and enter the Brier score calculation, with a weighted Brier score of 0.0219 across those. Rows with zero volume and a blank Brier score reflect settled markets whose price and volume fields were both unpopulated in the API response, not a genuine zero.

Total Settled Markets by Category, 2024-2026

Sum of settled markets per category across the whole table. Exotics (highlighted) is Kalshi's own category for a single high-frequency combinatorial product, not a general topic.

Full Category x Date Table

Blank Brier Score = no priced (volume>0) markets settled that category/date.

Download the full table (CSV) · 310 rows

How the Numbers Were Made

Category comes from Kalshi's own /series listing (14,017 series, each with a real category field), matched to each market's ticker prefix — not a derived or guessed category. 23 of 59,642 fetched markets had a result other than yes/no and were dropped before aggregation.

Date is the calendar date of close_time, chosen over month or year because Kalshi's settled history, while concentrated in a few months, has real day-to-day variation within them (daily-settling weather and crypto-threshold series).

n_settled_markets/total_volume_usd/yes_rate_pct cover every settled market with a yes/no result; brier_score is computed only over the volume>0 subset (n_priced_for_brier), so it can be less than n_settled_markets or blank when no market in that cell had a usable price.

Coverage is overwhelmingly 2026: direct min/max close-time probes returned 0 settled markets for 2021-2023 and only 68 (2024) and 26 (2025) across the whole year, all categories combined — Kalshi's public settled-markets index behaves like a rolling recent window, not a full historical archive, at least via this endpoint.

Sources

1. Kalshi public API (/markets, /series)primaryKalshi · primary · retrieved 2026-09-13 · Public API, no key required. Terms at https://kalshi.com/terms-of-use
2. Kalshi public API (/series, category listing)primaryKalshi · primary · retrieved 2026-09-13 · Public API, no key required. Terms at https://kalshi.com/terms-of-use