Calculator · Updated July 2026

Market Edge Calculator

Compare what the market thinks with what you think.

The Market Edge Calculator is our flagship tool. It compares what the market thinks a contract is worth with what you think it's worth, then estimates the edge, expected value and risk on the position.

Inputs

62¢
70%
$100

Result

Estimated positive edge
Market says62.0%
You say70.0%
Edge
+8.0 pts
Expected value
+$12.90
Profit if correct
$61.29
ROI if correct
61%
Max downside
-$100.00
Payout if correct
$161.29

A positive edge suggests your probability estimate is higher than the market's implied probability. A positive edge does not guarantee profit — markets can stay mispriced and your estimate may be wrong. For educational purposes only. Not financial advice.

Risk warning. Event contracts are financial instruments. You can lose your full premium. Trade only where legally permitted in your jurisdiction. This is not investment, legal or tax advice.
Editorial disclosure. HunchMarkets may earn a commission when readers sign up via our links. Our rankings, ratings and methodology are decided independently of commercial relationships.

What is market edge?

Market edge is the gap between the market's implied probability for an event and your own probability estimate. If a Kalshi contract trades at 62¢, the market is saying the event has roughly a 62% chance of happening. If your independent analysis suggests the true probability is closer to 70%, you have an estimated +8 percentage-point edge on the Yes side.

Edge is the foundation of every serious trading strategy in prediction markets, sports betting and financial derivatives. Without an edge, you are paying transaction costs to take random risk.

How prediction market traders find value

Profitable traders look for situations where the market price disagrees with their model. That model might be a statistical forecast, an information advantage (a source close to the story, an obscure dataset), or a behavioural read (the market is over-reacting to a headline).

  • Build an independent probability estimate before looking at the market price.
  • Compare to the contract's implied probability using this calculator.
  • If the edge is large enough to cover fees, slippage and your own error rate — consider sizing in.
  • If the edge is small or negative, stay out. Most contracts are reasonably priced.

Expected value, explained

Expected value (EV) weights every possible outcome by its probability. For a Yes contract bought at 62¢ with your estimated 70% Yes probability and $100 risked, EV is: 0.70 × profit_if_yes + 0.30 × −$100. A positive number means the average outcome of repeating this bet many times is profitable.

The calculator does this math for you. Treat EV as a guide, not a guarantee — every estimate has error bars, and any single trade can lose your full premium.

Why market prices and personal estimates differ

Markets aggregate the opinions of every trader weighted by their capital. They are usually well-calibrated on visible events, but they can lag breaking news, over-react to narratives, or systematically misprice niche markets where capital is thin. That's where edge lives.

Examples of positive edge opportunities

  • A late-cycle election market where a new poll has moved the underlying probability but contract price hasn't caught up.
  • An economic event (CPI print, Fed decision) where futures markets imply a different probability than the prediction market.
  • A sports event contract where the equivalent sportsbook line implies a meaningfully different probability.

Examples of negative edge opportunities

Most novices systematically over-estimate the probability of dramatic outcomes (a candidate winning from behind, a long-shot championship). The calculator helps you check yourself: if the market says 25% and you say 60%, ask whether you really have information the rest of the market lacks.

How professionals think about probability

Forecasters like those tracked by Tetlock's Good Judgment Project rarely commit to round numbers. They think in ranges, update on new information, and stress-test their estimates. The most reliable trading edge in prediction markets comes from disciplined Bayesian updating, not from gut conviction.

Common mistakes when estimating probabilities

  • Anchoring on the headline price instead of building an independent estimate first.
  • Treating a hot streak as evidence of skill.
  • Forgetting that fees and slippage shrink your edge on every trade.
  • Ignoring base rates — most things that have happened before will happen again at roughly the same rate.
  • Over-sizing on a small edge. See the Position Size Calculator.

Risk warnings

Event contracts are financial instruments. You can lose 100% of your premium. A positive estimated edge does not guarantee a winning trade and edges shrink in the presence of fees, slippage and liquidity constraints. Trade only where legally permitted in your jurisdiction. This tool is for educational purposes only — not investment, legal or tax advice.

Questions

Frequently asked questions

What is a positive edge?+

A positive edge means your probability estimate is higher than the market's implied probability for the side you're buying. It's a necessary but not sufficient condition for a profitable trade.

How is expected value calculated?+

EV = (your probability of winning × profit if you win) + (probability of losing × loss if you lose). The calculator does this automatically based on contract price, side, investment and your probability input.

Can a positive edge guarantee profit?+

No. Edge is a probabilistic estimate. Markets can stay mispriced, your estimate can be wrong, and any individual trade can lose. Profitable trading comes from many positive-EV bets over time, sized appropriately.

How accurate are prediction market prices?+

Generally well-calibrated on liquid markets with public information, but slower to update on breaking news and thinner markets. That's where most edge comes from.

How do traders estimate probabilities?+

By combining base rates, statistical models, expert forecasts and qualitative reasoning, then updating as new information arrives — a Bayesian process.

What is a good edge in a prediction market?+

After fees and slippage, most professionals look for at least 3–5 percentage points of edge before sizing in meaningfully. Smaller edges get eaten by costs and estimation error.

Can prediction markets be wrong?+

Yes — frequently in the short term, especially on illiquid contracts or surprising news events. Over many resolved markets they tend to be well-calibrated in aggregate.

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