| Event | Platform | Current Price | Volume | Resolves |
|---|---|---|---|---|
| Republicans retain House (2026) | Kalshi, Polymarket | 52-58 cents | $15M+ lifetime | Nov 2026 |
| Democrats win Senate (2026) | Kalshi, Polymarket | 45-50 cents | $10M+ lifetime | Nov 2026 |
| Fed cuts rates by July 2026 | Kalshi, CME FedWatch | 60-68 cents | $25M+ lifetime | Jul 2026 |
| US recession by Q4 2026 | Kalshi, Polymarket | 18-25 cents | $8M+ lifetime | Dec 2026 |
| GPT-5 released by Oct 2026 | Polymarket, Metaculus | 55-65 cents | $5M+ lifetime | Oct 2026 |
| SCOTUS rules on agency deference case | Kalshi | 62-70 cents | $2M+ lifetime | Jun 2026 |
| Ukraine-Russia ceasefire by Dec 2026 | Polymarket, Metaculus | 12-20 cents | $6M+ lifetime | Dec 2026 |
| Super Bowl LXI winner | Kalshi, sportsbooks | Varies by team | $20M+ combined | Feb 2027 |
| Oscar Best Picture 2027 | Polymarket, Metaculus | Varies by film | $1M+ lifetime | Mar 2027 |
| Bitcoin above $150K end of 2026 | Polymarket, Kalshi | 20-30 cents | $12M+ lifetime | Dec 2026 |
Everything With a Resolution Date Has a Market Now
Prediction markets used to be an election-year novelty. A few hundred political junkies placing small bets on presidential races, calling it "research." That phase is over.
Between Kalshi's expansion after winning its CFTC lawsuit, Polymarket's explosive 2024 growth ($3.5 billion in election volume alone), and Metaculus building the largest forecasting community on the internet, you can now trade contracts on nearly anything that has a definable outcome and a resolution date. Elections, yes. But also Fed decisions, AI milestones, geopolitical events, climate data, sports, entertainment awards, and crypto price targets.
Here are ten events with active markets right now. For each one: where to trade it, what the current pricing tells you, how much volume is behind the numbers, and why the market is worth watching. A caveat: prediction market prices move constantly. The prices listed here are directional ranges, not live quotes. Check the platform before you trade.
Highest Volume Prediction Markets (Estimated Lifetime Volume)
Bar chart showing estimated lifetime trading volume for ten active prediction markets. Fed rate decisions lead at $25M+, followed by Super Bowl at $20M+ and 2026 House control at $15M+.
1. 2026 US Midterm Elections: House Control
Midterm elections are the core product of political prediction markets, and the 2026 cycle follows a familiar pattern. The party that won the White House in 2024 typically loses House seats two years later. The historical base rate: the president's party has lost House seats in 17 of the last 20 midterms.
Markets are pricing Republican retention of the House in the 52-58% range. That reflects a narrow majority that could swing either way depending on economic conditions, approval ratings, and the redistricting effects that play out differently in each cycle.
The interesting trading angle isn't the topline number. It's the sensitivity to economic data. Watch how this contract moves after jobs reports, CPI prints, and consumer confidence numbers in Q2 and Q3 2026. If unemployment ticks above 4.5%, this contract will move 5-10 cents.
Platforms: Kalshi (CFTC-regulated, US-accessible), Polymarket (non-US). Resolution: AP or major wire service race calls after November 2026. Liquidity: Among the deepest political markets — tight spreads within 6 months of the election, though still wider than sportsbook equivalents.
2. 2026 Senate Control
The Senate map is structurally different from the House, and markets price it accordingly. Depending on which seats are up, the political environment, and individual candidate quality, control could go either way. Markets have Democrats at 45-50% — essentially a coin flip, which signals maximum uncertainty.
Senate markets break down into individual race contracts. You can trade "Who wins the Georgia Senate race?" independently from "Which party controls the Senate?" If you have state-level knowledge — you live in a swing state, you follow local politics, you know things about a candidate that haven't made national news — individual race markets are where your information edge has the most value.
One thing to watch: Senate control markets can stay unresolved for weeks after Election Day if a Georgia-style runoff is triggered. That ties up capital. If you're running a tight bankroll, factor in the possibility that your money is locked until January instead of November.
Platforms: Kalshi, Polymarket. Resolution: After all Senate races are called, including any runoffs. Trading note: Individual race contracts sometimes diverge from the overall control contract in ways that imply inconsistent probabilities. Those inconsistencies are arbitrage opportunities.
3. Fed Interest Rate Decisions
The most-traded category in prediction markets outside of elections. Fed rate decisions affect everything downstream: mortgages, stock valuations, bond yields, corporate lending, and about a dozen other asset classes that move when the FOMC moves.
Markets currently price a rate cut by July 2026 in the 60-68% range. CME's FedWatch tool, which derives probabilities from fed funds futures pricing, is the benchmark. Kalshi's event contracts on specific FOMC meetings tend to track FedWatch closely, and when the two diverge by more than 3-4 points, the gap usually closes within hours as arbitrageurs step in.
The specific contract structure matters. You can trade meeting-by-meeting ("Will the Fed cut at the June meeting?") or cumulative ("At least one rate cut by year-end?"). The meeting-specific contracts are more volatile but more precisely hedgeable. The cumulative contracts are smoother but carry more time-horizon risk.
Every CPI print, jobs report, and Fed governor speech moves these contracts. If you trade macro and you're not watching Kalshi's Fed markets, you're missing price signals that move before equities do.
Platforms: Kalshi (meeting-by-meeting and cumulative), CME FedWatch (futures-derived). Resolution: FOMC meeting outcomes. Volume: The highest of any prediction market event category — deep enough that $10,000+ orders move the price less than a cent on popular contracts.
4. US Recession by Q4 2026
Recession markets are perpetually fascinating because they force traders to put a specific number on vague economic anxiety. "I feel like a recession is coming" is a common sentiment. Markets demand precision: is it 18%? 25%? 40%? That specificity is where the value lies.
Current pricing at 18-25% reflects an economy that's slowing but hasn't cracked. Important: check how the contract defines "recession." Some platforms use the NBER's official dating, which can come 6-12 months after a recession technically begins. Others use two consecutive quarters of negative real GDP, which is faster but doesn't match the NBER definition exactly. Same question, different answers, different bets.
Recession contracts spike on bad jobs reports and sell off on good ones. They're correlated with equity market sentiment, so if you're already short the S&P, buying recession contracts doesn't add much diversification — it doubles down on the same macro thesis.
Platforms: Kalshi, Polymarket. Resolution: Platform-specific — verify whether it uses NBER dating, GDP definition, or the Sahm Rule (which triggers when the 3-month moving average of unemployment rises 0.5% above its 12-month low). Trading note: The Sahm Rule trigger tends to lead NBER dating by several months, so a Sahm-based contract resolves faster but may disagree with the NBER-based one.
5. GPT-5 Release by October 2026
AI model release dates are a fast-growing prediction market category. OpenAI's GPT series has become the benchmark for tracking AI progress, and traders who follow AI research — reading papers, tracking compute purchases, monitoring hiring patterns — can bring genuine information edges to these markets.
Markets price a GPT-5 release by October 2026 at 55-65%. The uncertainty isn't just about OpenAI's timeline. It's about what "GPT-5" even means. Does a model called "o4" count? What about GPT-4.5 or GPT-4-turbo-2? Resolution criteria are everything here.
The information edge in AI markets is real and specific. People who read arXiv daily, track NVIDIA H100 shipments, follow OpenAI employee LinkedIn moves, and parse Sam Altman's deliberately ambiguous tweets have data points that the average trader doesn't. If you're in that world, these markets are your domain. If you're not, you're trading against people who are.
Platforms: Polymarket (real money, non-US), Metaculus (no money, but impressively calibrated on AI questions). Resolution: Public announcement by OpenAI of a model designated GPT-5 or confirmed equivalent. Check the exact contract text. Volume: Growing fast but still thinner than political markets — spreads can be 3-5 cents on Polymarket.
6. Supreme Court Rulings
Supreme Court prediction markets took off after the Dobbs decision showed how much economic value rides on a single Court ruling. Post-Dobbs, Kalshi and others started listing contracts on specific cases — particularly those involving agency deference, administrative law, and regulatory authority.
Current markets include contracts on cases involving executive power, regulatory agency authority, and constitutional questions that could reshape entire industries. The pricing on these contracts tends to reflect how the oral arguments went (a strong signal for Court-watchers) and the ideological composition of the Court on the specific issue.
Legal scholars have historically predicted Supreme Court outcomes at about 68% accuracy. FantasySCOTUS (now integrated with legal prediction markets) has achieved 79% by aggregating predictions from lawyers, law professors, and Court-watchers. Kalshi's markets are building on that foundation with financial stakes.
The edge for knowledgeable traders: oral argument analysis, clerk hiring patterns, the timing of opinion releases, and the specific questions justices ask during argument. If you read SCOTUSblog and can parse a transcript, you have information that the average Kalshi user doesn't.
Platforms: Kalshi. Resolution: Based on the Court's published opinion. Volume: Lower than political and economic markets, which means wider spreads but also bigger potential mispricings for informed traders.
7. Ukraine-Russia Ceasefire
Geopolitical markets are the hardest to trade and the most useful for hedging. A Ukraine-Russia ceasefire by end of 2026 is priced at 12-20% — low, but not negligible. The wide range reflects genuine disagreement about what "ceasefire" means (permanent? temporary? partial?) and how resolution is determined.
This market matters beyond the prediction itself. If you hold European equities, European energy stocks, defense sector positions, or grain futures, the resolution of this conflict is a material risk factor. A ceasefire would likely: (1) reduce energy price volatility in Europe, (2) hit defense contractor stocks, (3) ease grain supply pressures, and (4) strengthen the Euro. If you're long European defense stocks and worried about a ceasefire, buying YES contracts is a direct hedge.
The information landscape is opaque. Unlike economic data (which is published on a schedule), geopolitical developments emerge from closed-door negotiations, back-channel communications, and intelligence that's not publicly available. Markets on these events are less efficient than markets on Fed decisions, which means bigger mispricings in both directions.
Platforms: Polymarket (larger volume, non-US), Metaculus (no money, long-form analysis). Resolution: Check carefully — does it require a formal agreement signed by both parties? A UN-announced cessation of hostilities? A de facto cease in military operations? Each definition produces a different probability. Trading note: These contracts are highly sensitive to single news events. A diplomatic meeting announcement can move the price 5-8 cents in minutes.
8. Super Bowl LXI
Sports markets are the most liquid prediction market category because they overlap with the massive regulated sports betting industry. Super Bowl contracts are interesting because they run for months — you can buy contracts before the season starts and trade them as the narrative evolves through regular season, playoffs, and the conference championships.
Prediction market prices on the Super Bowl look similar to Vegas odds but aren't identical. Kalshi's event contracts sometimes diverge from sportsbook lines by 2-5%, which creates cross-platform opportunities for traders active on both platforms. The divergence usually exists because the trader populations are different: sportsbook bettors include casual fans making entertainment bets, while Kalshi traders tend to be more analytically oriented.
Sports markets are also the most efficiently priced prediction market category because they draw the deepest pool of informed participants. Finding a genuine edge against the closing line of a major sportsbook is extraordinarily difficult. But in the months before the Super Bowl, when lines are less efficient, there's more room.
Platforms: Kalshi (event contracts), regulated sportsbooks in 35+ states. Resolution: Game outcome. Volume: Highest of any single-event market. Trading note: If you're primarily a prediction market trader and you see a persistent divergence between Kalshi and DraftKings/FanDuel on the same outcome, investigate before you assume it's free money. The divergence might reflect different vig structures, not a mispricing.
9. Oscar Best Picture 2027
Entertainment prediction markets are the lowest-stakes, highest-fun category. Oscar prediction markets have outperformed critics' consensus picks for over a decade — Hollywood Stock Exchange achieved 73% accuracy on Best Picture versus 58% for aggregated critic picks.
The edge in Oscar markets is specific and well-documented. The Academy Awards voting process is influenced by: (1) guild awards (SAG, DGA, PGA) that precede the Oscars and whose voting bodies overlap significantly with Academy membership, (2) box office performance, (3) the timing and aggression of studio "For Your Consideration" campaigns, and (4) the narrative around each film. Traders who track all four inputs systematically can outperform casual movie fans.
Contract prices shift significantly during awards season. A film that wins the PGA Award typically sees its Best Picture contract jump 15-25 cents. A SAG ensemble win adds another 10-15 cents. These correlations are well-known, but the magnitude of the moves varies, and the market sometimes overreacts or underreacts to a specific guild result.
Platforms: Polymarket (real money), Metaculus (reputation-based). Resolution: Official Academy of Motion Picture Arts and Sciences announcement. Volume: Lower than political or economic markets, but sufficient for small-to-medium positions. Trading note: Oscar markets are a great training ground for prediction market skills because the information cycle is short, the signals are clear, and you get a definitive resolution.
10. Bitcoin Above $150K at End of 2026
Crypto price prediction markets are a wildcard because Bitcoin's price is driven by a cocktail of macro factors, regulatory decisions, ETF flow data, halving cycle dynamics, and sentiment that defies easy modeling. Markets price Bitcoin above $150K at year-end 2026 in the 20-30% range — a meaningful longshot that reflects genuine uncertainty.
The interesting dynamic: Bitcoin prediction markets attract two distinct trader populations. Crypto-native traders who analyze on-chain data, whale wallet movements, exchange reserve levels, and mining hashrate. And traditional finance traders who view Bitcoin through a macro/rates/risk-asset lens. When these groups disagree, the market price represents a compromise between two worldviews. Those disagreement periods are when the biggest mispricings tend to exist.
One warning: Bitcoin prediction market contracts are highly correlated with simply owning Bitcoin. If you already hold BTC, buying "Bitcoin above $150K" doesn't diversify your portfolio — it concentrates your crypto exposure. The contract works as a magnified upside bet (you can get 3:1 or better payoff ratios at 25-30 cent prices) or as a hedge for a Bitcoin short position. But it's not additive to a portfolio that's already long crypto.
Platforms: Polymarket (deepest crypto market liquidity), Kalshi (CFTC-regulated). Resolution: Based on a specified price feed (CoinGecko, Coinbase, etc.) at a specific timestamp. Read the resolution criteria — does it measure the daily closing price, the spot price at midnight UTC, or a time-weighted average? Each definition can produce different outcomes around the threshold. Volume: Crypto markets are among the highest-volume on Polymarket after political events.
How to Find New Markets
The ten events above are a snapshot. New markets launch daily — sometimes hourly during high-news periods. Here's where to find them.
Platform explore pages: Kalshi's "Explore" tab and Polymarket's trending section surface new and popular markets in real time. Metaculus's question feed is the best source for long-horizon questions that haven't hit real-money platforms yet.
Prediction market Twitter/X: An active community. @Kalshi, @Polymarket, @MetaculusHQ, and independent forecasters regularly highlight interesting new markets and mispriced contracts. The signal-to-noise ratio is better than most financial Twitter because the community is smaller and more analytically oriented.
Reddit: r/PredictionMarkets surfaces niche markets, resolution disputes, and cross-platform pricing discrepancies.
Aggregators: Manifold Markets (play money but the widest market coverage), Good Judgment Open, and Elicit aggregate forecasts across platforms and question types. Useful for finding questions where your domain knowledge might give you an edge on an undertraded market.
Before You Trade: Four Checks
Before putting money on any of these events, run through four filters.
Volume and liquidity: How much money is in this market? Can you enter and exit your position size without moving the price? Markets under $50,000 total volume are high-friction environments where your order will move the price against you.
Resolution criteria: Read the actual contract terms. What data source determines the outcome? What happens in edge cases? Who arbitrates disputes? If the resolution criteria are ambiguous, that ambiguity is uncompensated risk.
Counterparty risk: Is the platform CFTC-regulated? Are funds in segregated accounts? If the platform goes down, do you have any recovery path? This matters more on offshore platforms.
Opportunity cost: How long until resolution? A contract that resolves in 9 months locks up your capital for 9 months. Calculate the annualized return of your expected edge and compare it to risk-free alternatives.
Simple test: if you can't say in one sentence why the market price is wrong, you don't have an edge. You have an opinion. Opinions are free. Edges cost effort to find.