Structural Parallels & Key Differences in Traditional Financial Markets
Prediction markets vs. derivatives markets as probabilistic pricing systems.
DealFlow’s editors and program managers develop each agenda by thoroughly evaluating major market trends, with an eye on the horizon of what’s to come. We refine our event agenda to reflect the most relevant topics and evolving dynamics of prediction markets. The result is a program that delivers up-to-the-moment information along with the expert perspective and insights our audience demands.
Below are some of the topics in development for the 2026 conference.
Prediction markets vs. derivatives markets as probabilistic pricing systems.
Role of professional market makers vs. retail-driven liquidity.
Continuous vs. batch auction mechanisms in thin markets, liquidity subsidies, and market-maker algorithms.
Packaging event contracts, including financial derivatives, options on outcomes, and structured products.
Retail vs. institutional participation and the question of who produces better forecasts.
When prediction markets fail to aggregate truth, including correlated beliefs and shared blind spots.
How AI-driven data analysis is accelerating the success rate of outcome betting.
Insider trading, jurisdictional arbitrage, and navigating the Commodity Futures Trading Commission and global equivalents.
Internal corporate forecasting vs. public markets, including Google-style internal markets.
Extracting probability distributions and implied uncertainty from prices.
Regulatory gray zones for decentralized systems.
Herding, momentum, and narrative formation in prediction markets.
Long-term forecasts and whether markets are structurally weak at handling them.
Prediction markets as a replacement for, or supplement to, polling, expert panels, and academia.
Understanding the overlap and differences between sportsbooks and prediction markets.
Where and when to expect it, and how to prepare.
Arbitrage and contract trading opportunities for crypto investors.
How autonomous systems are calculating probabilities and executing trades in event markets.