# sectors

Bottom-left panel. Eight sector barometers showing aggregate sentiment across market categories.

## The Eight Sectors

| Sector          | Keywords                                                                | What It Tracks                           |
| --------------- | ----------------------------------------------------------------------- | ---------------------------------------- |
| **Politics**    | election, president, congress, vote, democrat, republican, trump, biden | US and global political outcomes         |
| **Crypto**      | bitcoin, ethereum, crypto, token, blockchain, defi, nft                 | Cryptocurrency price targets and events  |
| **Sports**      | nba, nfl, mlb, soccer, championship, game, match, tournament            | Sports outcomes and championships        |
| **Economy**     | fed, inflation, gdp, rates, recession, jobs, unemployment, stock        | Economic indicators and policy           |
| **Geopolitics** | war, ukraine, russia, china, nato, sanctions, conflict, treaty          | International relations and conflicts    |
| **Tech/AI**     | ai, openai, google, apple, microsoft, spacex, launch, tech              | Technology milestones and company events |
| **Culture**     | oscar, grammy, emmy, movie, album, celebrity, viral, award              | Entertainment and cultural events        |
| **Science**     | climate, vaccine, fda, space, discovery, research, study                | Scientific breakthroughs and health      |

## What Each Card Shows

Each sector card displays:

* **Market count**: How many active markets in this sector
* **Average YES%**: Mean probability across all markets in the sector
* **Total volume**: Aggregate trading volume
* **Visual barometer**: Color-coded sentiment indicator

## How Classification Works

Markets are classified by regex keyword matching against the market question text. A market matches the first sector whose keywords appear in the question. Markets that don't match any sector fall into "Other."

The classification runs client-side for display and server-side for API filtering. See [Sector Classification](file:///6948179/methodology/sector-classification.md) for the full keyword list and methodology.

## Using Sector Data

* **Sector rotation**: When a sector's average YES% shifts sharply, individual markets may follow
* **Volume concentration**: Sectors with unusual volume spikes often have a catalyst (election, game day, earnings)
* **Cross-sector comparison**: Compare sentiment between related sectors (e.g., Economy vs Crypto during Fed decisions)


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