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Polymarket Probability Term Structure

· Last updated:2026-11-12

This tool is for informational purposes only and does not constitute medical, financial, or legal advice; consult a qualified professional for advice.

Turn Polymarket odds into a probability term structure: implied probabilities by expiry, with overround removed.

Details

What this tool helps you do

Paste a Polymarket event slug, event URL, or search phrase. A search phrase first returns matching events for you to choose; the tool analyzes an event only after you rerun it with that event's slug or URL. Event data comes from the public Polymarket Gamma API (no key needed). A YES share settles at $1, so its price is the implied probability (63c = 63%). The report shows a snapshot by expiry and normalizes multi-outcome markets: at one expiry the YES prices of mutually exclusive outcomes should sum to $1, so each share is divided by the total to remove the overround. Placeholder markets seeded at exactly $0.50 with zero volume and resolved markets are excluded from the normalization and flagged in the table.

Sources: Polymarket Gamma API (gamma-api.polymarket.com), Polymarket (polymarket.com).

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Written by the Elysia Tools team

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Finance
Input types
text, number, checkbox
Output type
html
Sample coverage
4
API ready
Yes

Overview

Turn Polymarket prices into a probability snapshot by expiry. Enter an event slug or URL to analyze it directly; a search phrase returns candidates for you to choose, and analysis starts when you run the tool again with the selected slug or URL.

When to use

  • You want the market's probability of an event happening by each date, not just the next one
  • You are comparing mutually exclusive outcomes (election candidates, next CEO) and want true shares, not raw prices
  • You see YES prices summing to more than 100% and want to know what the market really implies
  • You are tracking how an event's probability moves across expiries — a rate cut, an approval, a launch

How it works

  1. 1Enter an event slug or URL for direct analysis, or enter a search phrase to see matching events; choose a candidate and run the tool again with its slug or URL.
  2. 2The tool fetches the event's markets from the public Gamma API and parses each market's YES/NO prices, 24h volume and resolution date
  3. 3Markets are grouped by expiry; the point per expiry is the highest-volume live market, normalized — on negRisk events by the live YES sum, otherwise as Yes / (Yes + No)
  4. 4The report shows the term-structure curve and table, the normalized outcomes at each multi-outcome expiry, and the overround

Use cases

  • Fed rate cut: the market implies 0.7% by Dec 2026, 3.1% by Jan 2027, 8% by Mar 2027, 35% by Apr 2027, 31% by Jun 2027 and 46.5% by Jul 2027
  • Next CEO of NVIDIA: the frozen sample contains 10 live markets. Their YES prices total 101.1%; within this sample, the leader's normalized share is 28.7%. This is a sample excerpt, not a live count of the full event.
  • Any event URL from polymarket.com works: paste it and the slug is extracted automatically

Examples

1. Fed rate cut by meeting

Reader tracking Fed expectations

Background

The Polymarket event 'Fed rate cut by...?' with 13 markets at different meeting dates.

Problem

What is the market's probability of a cut by each meeting?

How to use

Enter fed-rate-cut-by-629 and run.

Outcome

6 live expiries: 0.7% by Dec 2026, 3.1% by Jan 2027, 8% by Mar 2027, 35% by Apr 2027, 31% by Jun 2027, 46.5% by Jul 2027. The dip from April to June reflects thin, zero-volume markets.

2. Next CEO of NVIDIA, normalized

Reader comparing candidates

Background

A frozen 10-market excerpt for the Polymarket event 'Next CEO of NVIDIA?'; it is not a snapshot of every market in the live event.

Problem

Compare the listed outcomes after normalizing their 101.1% combined YES prices.

How to use

Enter next-ceo-of-nvidia and run.

Outcome

The ten sample YES prices total 101.1%. The leader's 29.0% raw price normalizes to 28.7% within this sample. Current live markets may differ.

FAQ

What is a probability term structure?

The implied probability of an event plotted against time: the market's chance that the event happens by each expiry date. For a Fed rate cut it rises with the horizon (0.7% by December 2026, 46.5% by July 2027), because a cut is more likely to have happened by a later date.

Why do YES prices sum to more than 100%?

For mutually exclusive outcomes in a negRisk event, the tool divides each live YES price by the sum of live YES prices at that expiry. In the frozen 10-market NVIDIA sample, 29.0% becomes 28.7% after dividing by 101.1%. Live event counts and prices can change.

What is the overround and how is it removed?

For mutually exclusive outcomes in a negRisk event, the tool divides each live YES price by the sum of live YES prices at that expiry. In the frozen 10-market NVIDIA sample, 29.0% becomes 28.7% after dividing by 101.1%. Live event counts and prices can change.

Why are some markets excluded from the normalization?

Markets priced at exactly $0.50 with zero 24-hour volume are treated as placeholders, and resolved markets are excluded from live normalization. These rules apply to the data returned for the event; the report marks excluded rows.

Do I need a Polymarket account or API key?

No. The tool reads the public Gamma API, which needs no authentication for market data. It never places orders and never asks for a key.

Are these probabilities forecasts?

No — they are market-implied probabilities, a snapshot of what traders are willing to pay right now. A 63% price means the market pays 63c on the dollar, not that the event is objectively 63% likely. Prices move; re-run the tool for the current snapshot.

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