Prediction Market Liquidity: How Institutional Market Makers Power Polymarket and Kalshi

Prediction markets have evolved from niche experiments into a multi-billion-dollar asset class. In November 2025, Kalshi and Polymarket combined for nearly $10 billion in monthly trading volume. Industry forecasts project the sector could reach $1.3 trillion in annual volume by the end of 2026. Behind this growth is a critical but often overlooked force: institutional market makers that provide the liquidity needed for these platforms to function.

Raven is one of those market makers. As a proprietary algorithmic trading firm, Raven provides liquidity to Polymarket, Kalshi, Limitless, Gemini Predictions, and others.

What Is a Prediction Market, and Why Does Liquidity Matter?

A prediction market is an exchange where participants trade contracts tied to real-world outcomes. Each contract is priced between $0 and $1, with the price reflecting the market's estimated probability of an event occurring. If a "YES" contract on a Fed rate cut trades at $0.65, the market collectively estimates a 65% probability of that outcome.

Liquidity determines whether these probability signals are meaningful. In a liquid market, traders can enter and exit positions at competitive prices without significantly moving the market. In an illiquid market, wide bid-ask spreads distort prices, deter participation, and undermine the forecasting accuracy that gives prediction markets their value.

This is why institutional market makers are essential to the prediction market ecosystem. By continuously quoting buy and sell prices on both sides of a contract, market makers compress spreads, stabilize prices, and create the trading conditions that attract both retail and institutional participants.

The Role of Institutional Market Makers in Prediction Markets

Market makers provide liquidity by placing simultaneous bid and ask orders on prediction market contracts. Their profit comes from the spread between the price at which they buy and the price at which they sell, rather than from directional bets on outcomes. A market maker quoting $0.48/$0.52 on a YES contract earns $0.04 each time both sides are filled.

Institutional market makers operate at a different scale than individual liquidity providers. They deploy algorithmic systems capable of quoting across hundreds of markets simultaneously, adjusting prices in real time as new information arrives, and managing portfolio-level risk across platforms.

The significance of institutional participation was underscored in 2024 when a few Wall Street firms first started providing liquidity on Kalshi. The move reportedly increased available liquidity in select markets by approximately 30x.

These developments follow a pattern familiar from traditional derivatives markets: once institutional liquidity enters an exchange, it attracts more participants, which generates more volume, which attracts additional market makers. This liquidity flywheel is now accelerating across the prediction market sector.

Why Prediction Markets Need Specialized Market Makers

Prediction market liquidity provision differs from traditional market making in several important ways.

Prediction market contracts settle at $0 or $1. There is no gradual price movement or mean-reversion. A market maker holding an imbalanced position faces potential total loss on one side when an event resolves. This binary settlement structure makes inventory management a central concern for any firm operating in this space.

Event-driven price movements can be sudden and extreme. A single news headline can shift contract prices by 40 to 50 points in seconds, leaving market makers exposed to adverse fills on stale quotes. Managing this requires real-time news monitoring, and the ability to cancel or adjust orders within milliseconds.

Many prediction markets also experience uneven liquidity across contract categories. High-profile political or macroeconomic events often attract deep order books, while niche or newly listed markets can remain thinly traded. Effective market makers must allocate capital across both liquid and emerging markets to maintain broad platform health.

These challenges reward firms with existing infrastructure for high-frequency, multi-venue algorithmic trading, particularly those with experience across crypto and traditional markets where similar risk dynamics apply.

Raven's Role as a Prediction Market Liquidity Provider

Raven is a proprietary algorithmic trading firm that provides institutional-grade liquidity across crypto, prediction markets, and traditional finance. Founded by former Wintermute engineers, the firm operates on every major centralized and decentralized exchange, including Binance, Coinbase, OKX, Hyperliquid, Gate.io, and many others.

In prediction markets specifically, Raven serves as a liquidity provider on both Polymarket and Kalshi, the two largest platforms in the space. Raven is also an exclusive launch partner for some prediction market platforms like Gemini Predictions, the CFTC-regulated prediction market from the Winklevoss-founded exchange; Predict.fun, the BNB Chain-native prediction market incubated by YZi Labs; and Backpack Predictions, which introduced a cross-margined unified portfolio model for prediction trading.

This multi-platform presence reflects the approach that institutional market makers must take in a fragmented but fast-growing sector. By providing liquidity across both regulated and crypto-native venues, Raven helps ensure that traders on each platform can access tight spreads, deep order books, and reliable execution, regardless of which platform they choose.

The Future of Prediction Market Liquidity

The prediction market sector is entering a phase of rapid institutional adoption. Robinhood and Interactive Brokers have integrated event contract trading. Prediction market data now appears on Bloomberg terminals and in mainstream media broadcasts. Kalshi's volume grew from roughly $300 million annualized in 2024 to an estimated $50 billion annualized run rate by late 2025.

Several structural developments are poised to deepen liquidity further. Margin trading proposals, if approved, would allow hedge funds and prop firms to deploy capital more efficiently. AI-driven trading agents are emerging as a new category of liquidity provider. And the entry of traditional sportsbook operators like FanDuel and DraftKings into prediction-style markets is expanding the participant base significantly.

Through all of these shifts, the fundamental requirement remains: prediction markets need professional, always-on liquidity to deliver on their promise of accurate, real-time probability signals. The platforms that attract the deepest institutional liquidity will set the standard for the industry. The firms that provide it will power the next generation of financial markets.

Raven is proud to be building that infrastructure today.

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