Every Polymarket Market Is One of Four Shapes
As of April 2026, Polymarket hosts over 12,000 active markets across ten categories. Cumulative all-time volume is $63.4 billion, with a record $10.57B traded in March 2026 alone. Every one of those markets is built from just four underlying structures. The range runs from the Super Bowl LX binary that moved $701M in February to the 5-minute BTC close markets that settle 288 times a day. Once you can name the structure at a glance, three things become clear. You know how the price will move, who is on the other side, and what can go wrong at resolution.
Part 1: The Four Market Structures
Every market you will ever trade is one of these four shapes. Knowing which is which tells you how to price, size, and exit.
Binary markets (Yes/No)
This is the basic building block. One question, two outcomes.
- Two shares: Yes and No
- Prices always sum to $1.00. If Yes trades at $0.65, No trades at exactly $0.35.
- Winning side pays $1.00 per share. Losing side pays $0.00.
- The order book is complementary: a buy for Yes at $0.65 shows up at the same time as a sell for No at $0.35. (The order book is the CLOB, where buy and sell orders match.)
- Your max loss is your stake. Your max gain is (1 − entry price) × shares.
Multi-outcome markets
These are events with three or more possible winners, grouped under one event page. The FIFA World Cup 2026 winner market is the classic case, with 32 team outcomes. It has already traded $729M in cumulative volume.
- Each outcome has its own Yes/No order book
- All Yes prices should add up to about $1.00 (since exactly one outcome wins)
- When they don't, the gap is almost always eaten by spread, fees, and slippage
- Use the Gamma API
eventsendpoint to get every outcome in one call
Negative Risk (NegRisk) markets
This is a capital-saving version of multi-outcome. It's used where the outcomes can't all win — only one can.
- Buying "No" on one outcome is the same bet as buying "Yes" on every other outcome combined
- You only need $1.00 in collateral to hold a full basket — not the sum of all the prices
- Polymarket reports up to 9.5x capital efficiency on NegRisk versus plain multi-outcome
- Used for: election fields, championship winners, "next Fed Chair" nominations
- Identifier: the CLOB API returns
neg_risk: true. The UI shows a small "NR" or "Neg Risk" badge.
Conditional markets
These markets resolve only if a prior event actually happens first.
- Example: "IF SpaceX IPOs in 2026, what will its opening market cap be?"
- If the trigger ("SpaceX IPOs") never happens, your position refunds at collateral value
- Built on the Conditional Tokens Framework (CTF) from Gnosis, deployed on Polygon (chain 137)
- Rare but powerful — read the refund rules character by character before you enter
| Property | Binary | Multi-outcome | NegRisk | Conditional |
|---|---|---|---|---|
| Outcomes | 2 (Yes/No) | 3+, each its own book | 3+, mutually exclusive | 2+ chained on a prior event |
| Price-sum invariant | Yes + No = $1 | Sum ≈ $1 (spread-dependent) | Sum ≈ $1, lower collateral | Conditional on antecedent firing |
| Capital efficiency | Standard | Standard | Up to 9.5x more efficient | Refunds if antecedent fails |
| Typical resolver | UMA / Chainlink | UMA | UMA | UMA (two-stage) |
| API flag | - | - | neg_risk: true | CTF condition_id chain |
Part 2: How Each Structure Resolves
Resolution is where the money actually gets paid out. The structure decides which oracle settles it and how long you wait.
| Structure | Who settles it | Typical delay | Dispute risk |
|---|---|---|---|
| Binary (price event) | Chainlink oracle | Minutes to 1 hour | Near zero |
| Binary (event) | UMA Optimistic Oracle | 2h window + resolution | Low-Medium |
| Multi-outcome | UMA Optimistic Oracle | 24-72h after event | Medium (more surface area) |
| NegRisk | UMA Optimistic Oracle | 24-72h | Low-Medium |
| Conditional | UMA (two-stage) | Both events must resolve | Medium (ambiguity compounds) |
UMA (the system that settles each market Yes or No) uses a $750 bond and a 2-hour challenge window. Disputed markets escalate to a DVM token-holder vote that takes 48-96 hours. The Iran Ceasefire ($280M volume), Fort Knox Gold ($3.5M), and Ukraine Minerals ($7M) disputes are the classic case studies. All three are broken down in UMA Disputes. Full mechanics in Resolution Explained.
Part 3: The Ten Categories
Each category has its own edge, data sources, liquidity, and typical trader. Knowing these up front saves you hundreds of dollars in tuition.
Politics - 1,600+ markets, ~34% of volume
What's traded: US elections (presidential, congressional, gubernatorial), international elections, policy markets, approval ratings, legislation outcomes, nominations.
Key characteristic: Rich external data (polls, aggregators, models), but whale-distorted. In the 2024 US presidential, Polymarket showed Trump at 57% while polls showed a coin flip. A single French trader moved the market with about $30M. Mid-tier races, like House seats and state-level contests, stay chronically under-analyzed.
Resolution: Official results and major-outlet race calls (AP, Reuters, NYT, BBC).
Fee: 1.00% (taker, at 50¢)
Best for: Political analysts, poll watchers. Full playbook: Politics Trading.
Crypto - 5,400+ markets, ~18% of volume, highest fee
What's traded: Bitcoin price targets (annual/monthly/weekly), Ethereum milestones, 5-minute and 15-minute price markets, ETF approvals, protocol upgrades, hack outcomes.
Key characteristic: The fastest-moving category. 5-minute BTC/ETH markets generate $60M+ in daily volume. But bots dominate them, reading the Chainlink oracle cadence in milliseconds. Longer markets (monthly, quarterly, annual) are where manual traders actually have a chance.
Resolution: Chainlink oracles for price markets (fully automated). UMA for non-price events.
Fee: 1.80% - the highest on the platform.
Best for: Crypto-native traders who read L2 and funding data. Avoid 5-minute markets unless you run a bot. Walkthrough in Crypto Trading.
Sports - 4,000+ markets, ~39% of volume (largest by dollars)
What's traded: NFL, NBA, soccer, MLB, NHL, UFC, tennis, cricket, Olympics, FIFA World Cup 2026. Moneyline, spreads, totals, player props, futures.
Key characteristic: The deepest liquidity. Polymarket pays out about $5M/month in sports liquidity rewards, plus another $5M/month in general rewards. Super Bowl LX traded $701M on Polymarket vs $871M on Kalshi. That was the first time a competitor beat Polymarket on a single event. Unlike a normal sportsbook, your counterparty is another trader, and winners are never limited or banned.
Resolution: Official league results. Chainlink for straightforward score-based markets.
Fee: 0.75%
Best for: Sports fans with analytical skills. FIFA World Cup 2026 (US-hosted, June-July) will be the largest single event of the year. Playbook: Sports Trading.
Economics - ~3% of volume, most data-anchored
What's traded: Fed rate decisions ($43M+ per meeting), CPI/inflation prints, recession probability, GDP, unemployment, jobs reports.
Key characteristic: The most data-anchored category. CME FedWatch, Treasury yields, and inflation swaps all give you hard reference prices. Your edge comes from positioning faster before releases and reading FOMC statements closely. Markets re-price within seconds of the NFP data at 8:30am ET.
Resolution: Federal Reserve, Bureau of Labor Statistics (BLS), Bureau of Economic Analysis (BEA).
Fee: 1.25%
Best for: Macro traders, anyone who already reads Fed minutes. Full guide: Economics Trading.
Geopolitics - 673 markets, 0% fee, highest dispute rate
What's traded: Iran Strike ($188M - largest geopolitical market ever), Iran Ceasefire ($280M volume), Russia-Ukraine ceasefire, sanctions, UN resolutions, hostage deals, territorial control.
Key characteristic: The highest dispute rate of any category. The exact meaning of "ceasefire" or "military action" can swing millions. Markets overreact to headlines and under-react to ground-truth intelligence. In April 2026, an Israeli Air Force reserve officer was indicted for $244K in insider-trading profits on the Iran Strike market. About 50 accounts were flagged before the April 7 Iran ceasefire resolution.
Resolution: Consensus of credible English-language reporting (NYT, CNN, WSJ, BBC, Reuters). High UMA dispute risk.
Fee: 0% (the only 0%-fee category)
Best for: OSINT analysts, foreign-policy experts. See Geopolitics Trading.
Science & Technology - fastest-growing, biggest expertise edge
What's traded: SpaceX IPO, AI benchmark milestones (GPQA, SWE-bench, ARC-AGI), FDA drug approvals, Starship launches, chip releases.
Key characteristic: Domain expertise gives the biggest edge here, because retail participation is low. The resolution criteria are often vague, and insider-information risk is highest. A UFO/UAP dispute moved $16M in contested volume in 2025. The exact resolution wording matters more here than in any other category.
Resolution: SEC filings (IPOs), FDA letters, peer-reviewed publications, NASA/SpaceX press releases, benchmark leaderboards.
Best for: Industry professionals, AI researchers, biotech analysts. Playbook: Science & Tech Trading.
Pop Culture, Weather, Business & Breaking News
The remaining categories are smaller in volume. But each one has its own edge profile.
- Pop Culture (387 markets): Oscars, Grammys, Eurovision, Billboard, Netflix top-10. SAG winners predict Oscar winners ~80% of the time - great entry point for beginners.
- Weather & Climate (210+ markets): Hurricane counts, temperature records, El Niño/La Niña. The lowest retail participation means the highest systematic edge, if you can read the GFS (4× daily) and ECMWF (2× daily) models.
- Business & Finance (290+ markets): Tesla deliveries, CEO changes, earnings, M&A, bankruptcy. Usually trades alongside liquid equity/options markets with clear reference prices.
- Breaking News (150+ markets): Go live within hours of events. Thin liquidity, fast-written rules - read twice.
Part 4: Fees By Category (Max Taker at 50¢)
Fees scale with the spot price. They peak at the 50¢ midpoint and drop toward zero at 0¢ or 100¢. The table below shows the worst-case max at 50¢.
| Category | Max taker fee | Maker rebate | Why it's priced this way |
|---|---|---|---|
| Geopolitics | 0% | 25% of taker fees | Subjective resolutions - platform absorbs dispute cost |
| Sports | 0.75% | 25% of taker fees | Deep liquidity, must compete with Kalshi/DraftKings |
| Politics | 1.00% | 25% of taker fees | Headline category, mass audience |
| Finance | 1.00% | 25% of taker fees | Competes with regulated markets |
| Tech | 1.00% | 25% of taker fees | Moderate liquidity |
| Economics | 1.25% | 25% of taker fees | Slower resolutions, CME-anchored |
| Culture | 1.25% | 25% of taker fees | Lower volume |
| Weather | 1.25% | 25% of taker fees | Low retail participation |
| Crypto | 1.80% | 20% of taker fees | Oracle cost, highest automation |
Makers pay 0% fees and get a rebate from taker volume — 25% in most categories, 20% in crypto. That's why pros post limit orders instead of hitting market orders.
Part 5: Volume vs Edge - Where Should You Actually Trade?
| Category | Volume | Edge opportunity | Competition | Fee |
|---|---|---|---|---|
| Sports | Highest | Low-Medium | High (sharp books set the lines) | 0.75% |
| Politics | High | Medium | Medium-High (whales, models) | 1.00% |
| Crypto (long-duration) | Medium-High | Medium | Medium | 1.80% |
| Crypto (5-min) | High | Low (for humans) | Extreme (bots) | 1.80% |
| Economics | Medium-High | Low | High (CME-anchored) | 1.25% |
| Geopolitics | Medium | High | Low-Medium (subjective) | 0% |
| Tech/Science | Medium | High | Low (expertise needed) | 1.00% |
| Pop Culture | Low | Medium | Low (precursor signals) | 1.25% |
| Weather | Low | High | Lowest (data-rich, few traders) | 1.25% |
Here's the pattern. High-volume categories are priced efficiently, because more capital hunts mispricings there. Low-attention categories give the best openings to traders with real domain knowledge. The public data is brutal on this. Only 7.6% of wallets are profitable, 84.1% lose money, and the top 0.04% of wallets capture more than $3.7B (over 70%) of all platform profits. Theo, the most profitable trader of 2024, made $85M across 11 linked accounts on $80M wagered — an extreme outlier even by whale standards.
Part 6: 5-Minute and 15-Minute Crypto Markets
Polymarket runs very short binary markets on Bitcoin and Ethereum:
- "Will BTC close higher or lower at 13:35 UTC?"
- A new market opens as soon as the last one settles — round-the-clock action, 24/7/365
- Settled by Chainlink oracles — fully automated, with no human judgment
- $60M+ in combined daily volume across short BTC + ETH markets
Part 7: Perpetual Futures - New on Polymarket (April 2026)
On April 21, 2026, Polymarket launched perpetual futures. It's a new market type that sits alongside the prediction markets.
- Initial assets: BTC, NVDA, Gold
- Leverage: up to 10x
- Collateralized in pUSD (the new Polymarket-issued stablecoin, backed 1:1 by USDC, launched April 22, 2026 alongside V2)
- They run on a funding-rate model, not resolution — each position marks to market all day long
Perps work differently from everything else on the site. They don't resolve, they don't use UMA, and they have no fixed end date. Treat them as a separate product. The edge logic from prediction markets does not carry over. See Perpetual Futures for the mechanics, funding rates, liquidation math, and why pUSD matters.
Part 8: Which Category Should You Start With?
Start where you have real knowledge. That single factor best predicts whether you finish year one in the 15.9% who break even or better.
| Your background | Start here | Avoid for now |
|---|---|---|
| Sports fan | Moneyline markets for leagues you watch | Player props (sharper competition) |
| Political junkie | Mid-tier races you already follow closely | Presidential headline markets (whale-heavy) |
| Crypto-native | Monthly/quarterly price targets | 5-minute markets, perps with 10x |
| Finance professional | Fed rate decisions, CPI prints | Geopolitics (subjective resolutions) |
| Data scientist | Weather, pop-culture precursors | Sports (lines are already sharp) |
| Academic / expert | Tech & science markets in your field | Anything outside your domain |
| No strong expertise | Pop culture, low-stakes politics | Crypto short-duration, geopolitics, perps |
The worst move is trading a category just because it's popular or exciting. Volume without understanding is an expensive education. The numbers show most people treat it that way: the median bet size is $10 and 57% of users are under $100 lifetime.
Part 9: How to Read Any Market Page in 30 Seconds
No matter the structure or category, every market page has the same core parts. Train yourself to check them in this order before every trade:
- Resolution rules - what exactly defines the outcome? Who settles it (UMA or Chainlink)?
- End date - both the "market closes" date and the "resolution" date (they can be days apart)
- Volume - total $ traded. Below $10K lifetime = be cautious
- Liquidity - displayed separately. Sum of order-book depth within 5% of mid
- Order book - spread size and depth at top 3 levels
- Recent trades - any last-minute activity? (screenshot the tape if so)
- Structure - binary, multi-outcome, NegRisk, conditional? API flag
neg_risk?
Seven checks, 30 seconds, and you'll skip about 90% of the markets where beginners lose money. Much more on depth and slippage in The Order Book Guide.
What's Next?
- The Order Book Guide - depth, spreads, and impact cost
- Multi-Outcome & NegRisk Guide - deep dive on complex structures
- Probability Thinking - how to set your own fair price before looking at the book
- Resolution Explained - what really happens when markets settle
- Perpetual Futures - the new product and how it differs from prediction markets











