Kalshi

Kalshi Categories

How Kalshi's volume splits across sports, non-sports, and the categories inside each — from the broad picture down to the individual markets.

How this is calculated

This page uses daily ticker/category aggregates rather than raw browser-side trades. The volume map starts from broad categories and can drill into the largest component markets inside the selected parent; smaller residual activity is grouped so the displayed pieces remain readable without implying the omitted tail is zero. Raw ticker prefixes are shortened in labels for readability.

Kalshi: volume map by category

Start here. The treemap is the fastest read on which categories matter most in the window — click any tile to zoom into the biggest markets inside it.

Reading note: area represents category weight in the selected window. Click a category to zoom into pieces that add to 100% of that category. If the named tiles do not exhaust the category, the remainder is always shown as an explicit Other tile. Categories with many small report tickers combine the smallest tail into one Other tile for readability.

Kalshi: volume by category over time

How Kalshi's category mix has shifted month to month. Pick a category in the treemap to break it out into its own line.

Reading note: General compresses the market into Football, Basketball, Baseball, Soccer, Other sports, Parlay, and Non-sports. Detailed expands back into individual categories. Normalized shows share of monthly volume rather than dollars.

Kalshi: daily volume by category

The same category mix, day by day instead of month by month. Uses the category detail and scale controls above. Brush to a tighter window to read individual days.

Reading note: daily columns are noisier than the monthly bars — weekends, single big events, and settlement days all show up. Brush to a few months to read individual days clearly.

Kalshi: sports volume by market type

How sports volume is split between market types across all sports tickers. Moneylines = individual game winners. Futures/Award = season champions, conference winners, awards, tournament brackets. Parlay (correlated) = at least two legs are in the same game, so the legs aren't independent and the odds aren't a simple product of the leg prices. Parlay (independent) = every leg is a different game. (Classified from the actual legs, not the ticker name.)

Kalshi: all-time individual market leaderboard

The largest individual markets by contracts — of Kalshi's all-time volume; the smaller tail, including some categories entirely, is not in the table. Filter by theme with the legend chips, search for a specific market, or sort any column to see what's biggest by volume, fees, or trades.

Ranked by total contracts across all outcomes. Each row is one market (e.g. "Super Bowl 2026 winner"), not an individual yes/no contract.

Kalshi: top markets by volume or fees

The quickest read on which markets dominate by volume or fees in the window you pick — the starting point before you drill into the map below.

Sports Non-sports

Coverage note: date-filtered views cover the tracked top categories from the daily dataset; the full all-time leaderboard uses the broader summary table.