Polymarket organizes its markets into 25 categories spanning Politics, Sports, Crypto, Earnings, Geopolitics, and more — each with a distinct liquidity profile, resolution cadence, and edge structure. For Polymarket copy trading, category choice matters at least as much as wallet choice: a politics specialist with Sharpe 3.0 and an NBA churner with Sharpe 3.0 are two different strategies, and following both in prediction market copy trading is real diversification. This post is the field guide.
Why categories matter for copy trading
The information you need to win a market is category-specific. Earnings markets reward people who read 10-Ks. Sports markets reward people who model player props. Politics markets reward people who track polls and primary calendars. A single wallet's edge usually lives in one or two of these worlds. When you copy a wallet, you are inheriting that domain dependency — for better and worse.
That has two consequences:
- Whitelist categories you understand. Even though you are mirroring, you should be able to read each open position and roughly explain why the leader took it.
- Diversify across uncorrelated categories. Two leaders in different verticals run at typical 30-day return correlation around 0.18 — meaningful diversification — vs >0.7 for two leaders in the same vertical (full numbers in our risk-management post).
The 25 categories
Liquidity tiers below are typical depth at the top of book: High = $50k+, Med = $5k–$50k, Low = <$5k. Resolution time is the median window from listing to settlement.
1. Politics
Elections, primaries, cabinet appointments, legislation. Liquidity: High. Resolution: 1–180 days. Edge structure: rewards calendar discipline and polling literacy. Top-100 median Sharpe in this vertical is 2.8 — the highest of any single category.
2. Sports
The umbrella sports market — broad outcomes, season MVPs, championship winners. Liquidity: High. Resolution: 1–200 days. Edge: seasonal, often follows model output published by analytics shops.
3. Crypto
Token price thresholds, ETF approvals, halving-related questions. Liquidity: High in BTC/ETH markets, Med elsewhere. Resolution: 1–365 days. Edge: on-chain data literacy and macro reading.
4. Finance
Treasury yields, bank events, M&A, IPO outcomes. Liquidity: Med. Resolution: 7–180 days. Edge: finance-news fluency; thinner books reward patient orders.
5. Geopolitics
Wars, peace deals, sanctions, summits. Liquidity: Med. Resolution: highly variable. Edge: regional expertise; positions often round-trip dramatically before resolution — tight stops are dangerous here.
6. Earnings
Quarterly EPS beats, revenue beats, guidance changes. Liquidity: Med. Resolution: short, often <30 days. Edge: reading transcripts and pre-print indicators. Top-100 Sharpe median 2.6.
7. Tech
Product launches, acquisitions, antitrust outcomes. Liquidity: Med. Resolution: 14–180 days. Edge: industry-press fluency.
8. Culture
Awards (Oscars, Emmys), public-figure controversies, music charts. Liquidity: Low–Med. Resolution: calendar-driven, 30–180 days. Edge: social-listening models and inside-baseball knowledge of voting bodies.
9. World
Catch-all for international events not in Geopolitics. Liquidity: Low–Med. Resolution: variable. Edge: regional press fluency; books are thinner so manual entry costs more, copy trading is cheaper.
10. Economy
GDP prints, CPI, unemployment, recession-call markets. Liquidity: Med. Resolution: 7–90 days. Edge: macro literacy and a calendar.
11. Climate & Science
Hurricane landfalls, named-storm counts, vaccine approvals, scientific announcements. Liquidity: Low–Med. Resolution: seasonal. Edge: domain expertise; consensus models often have public sources.
12. Elections
Sub-vertical of Politics with election-specific markets — vote shares, state calls, electoral-college totals. Liquidity: High during cycles, Low between. Resolution: calendar-driven. Edge: polling fluency, district-level data.
13. Mentions
"How many times will X say Y?" markets — speech counts, tweet thresholds. Liquidity: Low. Resolution: short, 1–30 days. Edge: niche; rewards close watching of a specific public figure.
14. Games
Esports outcomes, video-game launch milestones, in-game records. Liquidity: Low–Med. Resolution: tournament-driven. Edge: community-deep knowledge.
15. Basketball
NBA series outcomes, conference and finals winners (excluding daily NBA). Liquidity: High during postseason. Resolution: 7–120 days. Edge: models, injury reports.
16. NBA
Daily NBA — player props, game totals, single-game winners. Liquidity: Med–High during season. Resolution: hours. Edge: sportsbook-style modeling; high turnover. Top wallets often clear 200+ trades per month.
17. Movies
Box office thresholds, release-date markets, sequel announcements. Liquidity: Low. Resolution: 7–180 days. Edge: industry-press tracking.
18. Soccer
Match outcomes, league winners, World Cup brackets. Liquidity: High during major tournaments. Resolution: hours to seasons. Edge: club-specific modeling, fixture congestion.
19. Weekly
Markets that resolve on a weekly cadence — price-in-a-week, weekly recurrence questions. Liquidity: Med. Resolution: 7 days. Edge: short-term volatility models.
20. Recurring
Markets that come back every cycle — monthly NFP prints, recurring economic releases. Liquidity: Med. Resolution: calendar-driven. Edge: systematic; small but reliable.
21. Fed Rates
FOMC meeting outcomes, rate-cut/rate-hike probabilities. Liquidity: High during meeting weeks. Resolution: meeting-day. Edge: rates literacy; CME FedWatch is a useful comparator.
22. Business
Bankruptcy filings, layoff thresholds, executive turnover. Liquidity: Low–Med. Resolution: variable. Edge: news-flow tracking.
23. New Listing
Markets recently added to Polymarket. Liquidity: Variable, often Low at first. Resolution: mixed. Edge: being early to a market the consensus has not priced — the highest-edge subset on the platform but also the noisiest.
24. Trending
Markets with the largest 24h volume change. Liquidity: typically High. Resolution: mixed. Edge: attention-driven flow; useful as a contrarian signal.
25. Ending Soon
Markets within 72 hours of resolution. Liquidity: typically High at the top of book. Resolution: hours to days. Edge: short time-decay; suits high-frequency wallets.
Which categories are most edge-rich?
Across our 12,438-wallet 90-day study (full data in our top-wallets analysis), the highest median top-100 Sharpe sits in:
- Politics — 2.8 median top-100 Sharpe.
- Earnings — 2.6.
- Crypto — 2.4.
- Geopolitics — 2.3.
- Sports (composite) — 2.1.
The categories with the highest median Sharpe are also the ones where domain expertise is hardest to fake. That is not a coincidence.
A caveat: edge-richness moves with the calendar. Politics dominates in election years; Fed Rates dominates around FOMC weeks; Earnings dominates during reporting season. Re-evaluate your whitelist quarterly.
Category whitelist strategy on Poly Syncer
From your dashboard → settings, you can flip any of the 25 categories on or off independently. Three working configurations:
| Profile | Categories enabled | Why |
|---|---|---|
| Starter | Politics, Earnings, NBA | Three uncorrelated, high-edge categories. |
| Macro | Fed Rates, Economy, Geopolitics, Crypto | Macro-tilted; works well in volatile rate regimes. |
| Sports stack | NBA, Soccer, Basketball, Sports | High volume, fast resolution — suits active monitoring. |
If you are unsure, start with Starter. You can change at any time and the executor will simply stop firing on filtered categories — existing positions resolve normally.
Liquidity profile vs edge density — reading the table
Beginners often default to high-liquidity categories (Politics, Sports, NBA) because the books look comfortable. That instinct is reasonable but incomplete. Categories with shallower books are often where the most edge survives, precisely because fewer professional desks are in there competing prices toward fair value. Earnings, Geopolitics, Climate & Science, and New Listing all feature lower median depth and higher edge-adjusted hit rates among their top-100 wallets — the liquidity vs edge trade-off is real and worth managing consciously.
For copy trading specifically the trade-off looks like this: in deep books you incur 0.3–0.6 cents of average tracking slippage per mirrored fill. In thin books that rises to 1.4–2.1 cents. If the leader's edge is 4 cents per trade in a thin book, you keep most of it. If the leader's edge is 1.5 cents in a thin book, slippage swallows it whole. The Poly Syncer executor enforces a configurable liquidity floor (default $5,000 of top-of-book depth) so mirrors do not fire into books too thin to copy profitably.
Resolution-cadence and what it means for capital turnover
The categories also differ wildly in how often capital recycles. NBA, Soccer, Weekly, Recurring, and Ending Soon all churn capital in days or hours. Politics, Geopolitics, and many Crypto markets lock capital for weeks. Implications:
- Fast-cadence categories let small bankrolls compound rapidly but require attention to gas and tracking error per fill. NBA copying with $30 mirrors is fee-inefficient unless your bankroll is small.
- Slow-cadence categories reward patient capital. A politics market open for 90 days means a position sits on your wallet for that long, illiquid until the leader exits or resolution lands.
- Mixed-cadence portfolios — one slow-cadence leader (politics or earnings) plus one fast-cadence leader (NBA or soccer) — smooth equity curves materially. The slow capital provides drift-free returns; the fast capital provides volatility that opportunistically averages in your favor.
Frequently asked questions
Are these the only categories on Polymarket?
These are the 25 Poly Syncer indexes and supports for whitelist filtering. Polymarket itself sometimes tags markets in additional ways; the indexer maps every market to one of these 25 buckets so that the executor's category gate behaves predictably.
Can I follow a leader and only mirror specific categories of their trades?
Yes. The category whitelist applies after the leader filter. If you follow a generalist wallet but only enable Politics and Earnings, you'll only mirror those subset trades.
Which category should I pick first?
The one whose newspapers you already read. The data shows specialists outperform generalists, so leverage the domain knowledge you already have. If you have no preference, Politics is the highest-Sharpe starter.
Pick a category, pick a leader, start small
Open the leaderboard, filter by your chosen category, sort by 30-day Sharpe, and read the top wallet's trade history end-to-end before following. The free view-only tier lets you do all of that without paying; Pro at $299/month adds 250 mirrored wallets and the full category-filter execution path. The glossary defines anything above that needs unpacking.