Tracy Alloway and Joe Weisenthal speak with Thomas Peterffy, founder and chairman of Interactive Brokers and pioneer of automated market making. Peterffy launched Forecast Trader, IBKR's prediction market platform, after receiving CFTC approval in 2024.

The conversation explores the institutional potential of prediction markets, comparing them to existing financial instruments and examining the challenges of building liquidity. Peterffy shares his history with market automation dating back to 1977 and his views on market structure evolution.

Key topics include the regulatory landscape for prediction markets, the role of insider information, and how AI represents the next evolution in trading technology. The discussion also covers IBKR's strategy to differentiate from sports-focused platforms like Calshi and Polymarket.

Institutional vs Retail Prediction Markets

Peterffy argues prediction markets parallel stock markets: "The stock market has Microsoft and Nvidia and also has you know, the GameStop and other silly stocks, right, so it is a parallel situation."

Interactive Brokers focuses on economically serious contracts like recession probabilities and climate questions, avoiding sports betting that dominates platforms like Calshi.

The platform targets IBKR's existing institutional client base rather than building a new retail audience from scratch.

The Ten-Year Development Journey

IBKR began developing prediction markets roughly ten years ago but shelved the project due to banking license concerns: "consultants at the firm...said, well, you will never get your banking license if you come up with this prediction market."

The system was released for phantom money trading, which "eventually petered out because phantom money is not really interesting," but influenced later platforms.

Peterffy attempted to acquire Calshi five years ago but was rejected: "I wanted to buy Calshi, but he wouldn't They wouldn't entertain, say, they didn't even give me a price."

IBKR received CFTC approval in 2024, taking three years to work through the regulatory process.

Market Structure and Liquidity Challenges

Current prediction market volumes remain insufficient for institutional use, with weather contracts having only $20,000 in liquidity: "No hedge fund gets out of bed for less than twenty thousand."

IBKR plans to launch consolidated feeds in May 2025, providing best execution across multiple prediction market platforms similar to stock trading.

Fungibility across platforms requires identical contract specifications: "we are going to structure our contracts to be identical whenever it's possible."

Peterffy compares the development timeline to options markets, which took five decades to achieve significant liquidity.

Regulatory Uncertainty and Company-Specific Contracts

The biggest regulatory challenge involves company-specific prediction contracts: "we do not know if the question would be a security or a commodity, and do not know who should properly regulate it."

Potential contracts could cover earnings beats, employee counts, or average salaries at companies like Nvidia, Microsoft, or Google.

Current securities law states "anything that has an impact on the stock price would be on the financial statement would be a security," creating regulatory ambiguity.

Insider Trading and Information Efficiency

Peterffy lost half his initial $200,000 capital to insider trading in 1977 on DuPont options, buying at 3/8ths and watching them open at $4.50 after a stock split announcement.

Despite this experience, he advocates eliminating insider trading laws: "I'm in favor of not having any rules against insider trading. I would like all the information out there as soon as it's available."

His argument centers on societal benefit: "as a society, we're better off knowing as soon as possible anything that is knowable" rather than waiting for information to filter out gradually.

AI and the Evolution of Trading Technology

Peterffy views AI as "basically a new higher level language that is much much, much, much more powerful than anything that came before" but qualitatively similar to previous programming language evolution.

IBKR began automated trading systems in 1983 and was "the largest market makers in the world" before exiting when other traders bought order flow from brokerages.

He developed his own options pricing formula in 1970 using an Olivetti desktop computer, running simulations to determine break-even prices and creating probability distribution curves.

The probabilistic nature of AI aligns with options and prediction markets: "Option prices are probabilistic. Prediction markets are probabilistic."