PREDICTWIRE · LIVEGavin Newsom win the 2028 Democratic presidential nomination: 28% ▲ 0.4Atletico Madrid win the 2025–26 Champions League: 12% ▼ 0.2the San Antonio Spurs win the 2026 NBA Finals: 15% ▲ 0.1Iran x Israel/US conflict ends by April 7: 87% ▲ 0.8Gavin Newsom win the 2028 US Presidential Election: 17%Netherlands win the 2026 FIFA World Cup: 3% ▼ 0.1the Colorado Avalanche win the 2026 NHL Stanley Cup: 23% ▲ 1.1J.D. Vance win the 2028 Republican presidential nomination: 39% ▲ 0.8the U.S. invade Iran before 2027: 30% ▼ 2.0PREDICTWIRE · LIVEGavin Newsom win the 2028 Democratic presidential nomination: 28% ▲ 0.4Atletico Madrid win the 2025–26 Champions League: 12% ▼ 0.2the San Antonio Spurs win the 2026 NBA Finals: 15% ▲ 0.1Iran x Israel/US conflict ends by April 7: 87% ▲ 0.8Gavin Newsom win the 2028 US Presidential Election: 17%Netherlands win the 2026 FIFA World Cup: 3% ▼ 0.1the Colorado Avalanche win the 2026 NHL Stanley Cup: 23% ▲ 1.1J.D. Vance win the 2028 Republican presidential nomination: 39% ▲ 0.8the U.S. invade Iran before 2027: 30% ▼ 2.0

How to Make Money on Prediction Markets: Strategies That Work

Making money on prediction markets comes down to one thing: consistently pricing outcomes more accurately than the market does, then sizing your positions so a good edge actually compounds. The traders who do it well are not gamblers, they are analysts who treat contracts like short-dated derivatives and grind out edge with news, data, arbitrage, and discipline. This guide walks through the strategies that have held up on Kalshi, Polymarket, and other major venues, and the ones that quietly bleed accounts.

Understand What You Are Actually Buying

Every prediction market contract is a binary claim that settles at $1 if the event happens and $0 if it does not. A contract trading at 60 cents implies a 60% probability. Your edge is the gap between the market’s implied probability and your own estimate. If you think an event is 70% likely and the market prices it at 55%, that 15 point gap is your theoretical edge, before fees and slippage.

This framing matters because it forces you to think in probabilities, not in wins and losses. A trader who takes 55 cent contracts on 70% events will lose 30% of the time and still come out ahead if their calibration is honest.

Strategy 1: Trade Your Information Edge

The most reliable way to make money on prediction markets is to trade only in categories where you know more than the average participant. That might mean a former political operative trading Senate control, a sports analyst modeling NFL win probabilities, or a crypto native pricing Bitcoin ETF flows.

Practical filters that separate real edge from confidence:

  • You can name three specific inputs the market is mispricing.
  • You can articulate why other traders have not corrected it.
  • You would still take the trade at slightly worse prices.

If any of those fail, you probably have an opinion, not an edge.

Strategy 2: News Trading and Event-Driven Positioning

Prediction markets react to news, but not always instantly, and rarely with perfect calibration. A Fed statement, a court ruling, a jobs number, or a candidate withdrawing can move a contract 10 to 30 points in minutes. Traders who pre-position around scheduled events, and who can act inside the first few minutes of unscheduled ones, capture the largest single day gains available on these venues.

The setup is simple: build a calendar of catalysts, decide your fair value before the event, and place resting orders at the levels where you would want to buy or sell if the market overshoots. Discretion after the news is where most edge is given back.

Strategy 3: Cross-Platform Arbitrage

The same event is often listed on multiple venues with slightly different rules and prices. When Kalshi lists a contract at 62 cents and Polymarket lists an economically equivalent contract at 58 cents, a trader can buy the cheaper side and sell the richer side for a locked-in spread, minus fees.

True arbitrage is rarer than it looks because contract terms differ in small but decisive ways: settlement dates, data sources, tie-breaking rules. Before assuming two contracts are the same, read both rulebooks in full. When they truly match, the trade is one of the cleanest ways to earn on these markets.

Strategy Typical Edge Skill Required Risk Profile
Information edge 3 to 15 points High domain knowledge Idiosyncratic
News trading 5 to 30 points, briefly Speed and preparation Timing risk
Cross-platform arb 1 to 5 points Rules literacy Low, if identical
Market making Fractions of a cent per trade Automation Inventory risk

Strategy 4: Market Making the Quiet Contracts

On thinner contracts, the bid-ask spread can be several cents wide. Traders willing to post two-sided liquidity, adjust quickly to news, and manage inventory can earn the spread over hundreds of small fills. This strategy scales poorly without at least basic automation, but it is one of the most consistent income streams on Kalshi in particular.

Bankroll, Sizing, and Fees

Even a real edge dies if position sizing is wrong. A common framework is fractional Kelly: size each bet at a fraction (often one quarter) of the Kelly-optimal amount given your edge and the contract price. That keeps drawdowns tolerable and prevents a single bad settlement from taking out the account.

Fees deserve equal attention. Trading fees, withdrawal fees, and, on some venues, gas costs, all eat into edge. A strategy that looks profitable on paper at 3 points of edge often breaks even after realistic costs. Model fees explicitly before you scale any approach.

Common Mistakes That Drain Accounts

  • Trading contracts you find interesting rather than mispriced.
  • Averaging down into a losing position without new information.
  • Confusing narrative certainty with probability. A 90% narrative is often a 70% market.
  • Ignoring settlement risk on ambiguous contracts.
  • Over-sizing after a hot streak.

Most accounts that blow up do so from sizing errors and undisciplined re-entry, not from bad picks.

Where to Trade

The two venues that matter most for US-based traders in 2026 are Kalshi, a CFTC-regulated exchange, and Polymarket, a crypto-native venue with the deepest liquidity across politics and macro. Both have strengths, and serious traders usually keep accounts on both to price-check and to arbitrage.

Get started on Kalshi if you want a fully regulated US exchange with USD deposits, or on Polymarket if you want deeper political and macro liquidity. For a full side-by-side breakdown of every major venue, see our Best Prediction Markets rankings.

Prediction markets reward patience, calibration, and honest self-assessment more than they reward strong opinions. Traders who treat them as a discipline, not entertainment, are the ones who compound.