LAB and the on-Chain Prediction Market That Runs Without an Order Book
LAB (LAB) carried a $360 million market cap on May 12 with $136 million in 24-hour trading volume, a volume-to-cap ratio above 37% that places it among the more actively traded mid-cap tokens in the current cycle. LAB is the native token of a decentralized prediction market protocol that removes the traditional order book and replaces it with an automated market maker model, a structural design choice that lowers the barrier to creating and trading on new prediction markets.
The AMM Approach to Prediction Markets
Traditional prediction markets, whether on-chain or off-chain, pair buyers and sellers through an order book.
A trader who believes an event will happen posts a bid at a price reflecting their probability estimate. A counterparty who disagrees posts an offer.
This works well for liquid markets with many active participants, but thin markets with few participants produce wide spreads and poor price discovery.
An automated market maker, or AMM, a liquidity mechanism that uses a mathematical formula rather than matched orders to set prices, removes the dependency on a willing counterparty. Liquidity providers deposit funds into a pool.
The AMM formula prices each side of a prediction market continuously based on pool composition. Traders buy or sell outcome shares against the pool rather than against each other.
The tradeoff is capital efficiency.
An order book concentrates liquidity at specific prices where traders believe the market will clear. An AMM spreads liquidity across the full probability range, which means a portion of deposited capital sits at price points unlikely to be traded.
For prediction markets, where outcomes are binary and often concentrated near extreme probabilities as events approach, AMMs can carry significant idle liquidity.
LAB’s protocol attempts to address this by allowing dynamic liquidity rebalancing, where the pool adjusts its fee structure based on trading activity. The mechanics are similar to concentrated liquidity features introduced in Uniswap (UNI) v3 for standard token pairs, adapted here for event-based binary outcomes.
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Background
Prediction markets in cryptocurrency have a long and turbulent history. Augur, one of the earliest on-chain prediction market protocols, launched on Ethereum (ETH) in 2018.
It struggled with liquidity and poor user experience for years before largely fading from active use. Polymarket, which operates on Polygon (POL), became the dominant on-chain prediction market during the 2024 U.S. election cycle, processing hundreds of millions of dollars in election-related volume. Polymarket’s success validated demand for on-chain prediction markets but also highlighted the regulatory risk.
The platform restricted U.S. users after settling with the Commodity Futures Trading Commission over unregistered event contracts.
LAB represents a newer generation of prediction market infrastructure. Rather than competing directly with Polymarket’s curated market approach, LAB’s AMM model targets a permissionless structure where anyone can create a market on any event.
The protocol does not curate or validate events, which lowers the barrier to market creation but shifts fraud and accuracy risk to the liquidity providers and traders themselves.
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Who Uses LAB and Why
Prediction markets attract three distinct user types. Speculators treat outcome shares like leveraged binary options, taking positions on events they believe are mispriced relative to consensus probability.
Hedgers use prediction markets to offset real-world exposure, a company with revenue tied to election outcomes, for example, might hedge through a prediction market position. Information aggregators treat prediction market prices as a signal of collective wisdom, valuing the price itself rather than trading it.
LAB’s AMM design serves speculators more directly than the other two groups.
The always-available liquidity means speculative positions can open and close quickly. Hedgers typically need large-size positions with tight spreads, which order books handle more efficiently.
Information aggregators care about price accuracy, which requires sufficient market depth.
The $136 million daily volume figure, taken alongside the $360 million market cap, suggests LAB’s current user base is primarily speculative. That is not unusual for a mid-cap protocol token in an early growth phase, but sustained valuation will require demonstrated utility beyond token trading.
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What to Watch
Two metrics matter most for LAB’s trajectory.
First, the number of unique prediction markets created on the protocol is a direct measure of whether the permissionless model generates genuine activity or sits mostly unused. Second, liquidity provider retention data, meaning how long capital stays in LAB pools before being withdrawn, indicates whether the fee economics are attractive enough to sustain the AMM model.
A prediction market AMM with high LP churn is a fragile system that cannot sustain price discovery through volatile periods. If LAB can demonstrate sticky liquidity alongside its current trading volume, the protocol has a credible claim to a durable niche in the decentralized finance ecosystem.
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