Concept · mechanism-design

Multi-Outcome Markets

Prediction markets where an event is divided into multiple mutually exclusive outcome ranges (e.g., price brackets), each tradeable. Contrasts with binary markets that only ask yes/no questions. The natural shape for any question with more than two answers · price, time, magnitude, count.

Key insights

functionSPACE's analysis of 36,777 Polymarket events found that when continuous questions are split into many binaries (the workaround for the lack of native multi-outcome markets), volume follows an extreme Pareto distribution · top 3 markets capture >75% of volume, leaving a fat tail of ghost markets with essentially no liquidity.
The $0.01 tick size compounds the multi-outcome problem on stacked binaries: at low probabilities, the tick is a 50%+ relative move · making bracket prices structurally imprecise.
Jo Lim (Strait of Hormuz, Mar 2026) explicitly frames multi-outcome markets as the missing architecture: binary order-book markets hit a ceiling on granular, multi-outcome risk. Traditional options solve this for tradable assets, but events without underlying assets need a different mechanism · that mechanism is the automated market scoring rule (LMSR / CLMSR).
The Jo Lim WTI crude oil scenario walks through how scoring-rule multi-outcome markets let traders express precise theses (e.g., "I think oil ends between $85 and $90") rather than just directional bets ("up or down"). This is the core informational advantage of multi-outcome markets.
Multi-outcome markets are implementable as either (a) stacked independent binaries (Polymarket pattern · suffers fragmentation), (b) coherent LMSR/CLMSR over partitioned outcome space (preferred for thin markets), or (c) order books over a fixed bracket grid (Kalshi pattern for some markets).
Coherent multi-outcome pricing requires that bracket prices sum to ~$1 · independent binary stacks frequently don't sum to $1 because each is independently quoted by separate liquidity. This is a price-discovery defect.
Capital efficiency: in a coherent multi-outcome MSR, capital deployed by an LP supports all brackets simultaneously · you don't need separate capital per bracket. In stacked binaries, capital is partitioned, which is why ghost markets emerge.
Continuous-outcome markets (Dekant's category) are the natural extension of multi-outcome markets · instead of N discrete brackets, you have a continuous curve over the outcome space, sampled at any granularity.
Semantic tick size · the per-bracket pricing tick reads as a percentage-point probability revision in the binary stack; in a continuous market it reads as a density value, which is harder to UX but more expressive.
Multi-outcome markets are the conceptual midpoint between binaries (N=2) and continuous distributions (N=∞). The category is moving in the continuous direction as event types diversify (functionSPACE's V2 piece notes continuous events overtook categorical in Polymarket's 2026Q1 data).

In their words

Binary order-book prediction markets hit an architectural ceiling when pricing granular, multi-outcome risk.· Jo Lim, *The World's Biggest Risk Event Just Exposed Prediction Markets' Biggest Gap*

Scoring-rule markets reward precise thesis expression over simple directional bets.· Jo Lim, *ibid.*

The $0.01 tick size compounds the problem, creating a rounding tax that makes low-probability contracts structurally imprecise.· functionSPACE, *Binary Events*

Where it matters

Multi-outcome is the unfilled middle of the prediction-market design space. Polymarket's stacked-binary workaround is empirically broken (ghost markets, fragmentation, incoherent price sums), and the natural successor is either coherent CLMSR-style multi-outcome AMMs or continuous-distribution markets like Dekant. The case for moving to continuous is strong: as soon as you have ≥10 brackets, you're already approximating a curve, and the partition-of-unity machinery generalizes cleanly.

Connections

Binary contracts · the alternative primitive (and the source of fragmentation)
Market scoring rules · the AMM mechanism that handles multi-outcome natively
Liquidity fragmentation · what stacked binaries produce
Liquidity provision · multi-outcome MSRs unify capital across brackets
Order book · Kalshi's pattern for some multi-outcome events
Semantic tick size · the tick is per-bracket in stacked binaries

Platforms linked to this concept

Dekant · implements · Mentioned in Multi-Outcome Markets content as an implementing platform
Futuur · implements · Futuur multi-outcome scalar markets
Kalshi · implements · Mentioned in Multi-Outcome Markets content as an implementing platform
Polymarket · implements · Polymarket categorical markets
Zeitgeist · implements · Zeitgeist scalar/multi-outcome markets

Related concepts

Sources

Binary Events: What Happens When You Split One Market Into Twenty · functionSPACE · X · Apr 2, 2026
The World's Biggest Risk Event Just Exposed Prediction Markets' Biggest Gap · Jo Lim · X · Mar 24, 2026

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