New Bill Targets Insider Trading in Prediction Markets

Lawmakers are once again turning their attention to prediction markets, introducing a new bill aimed at tightening oversight of prediction markets, with a specific focus on preventing insider trading.

A Renewed Regulatory Push Gains Momentum

The proposed legislation focuses on tightening disclosure requirements, restricting access to non-public information, and enhancing oversight of trading activity tied to real-world events such as elections, economic indicators, and corporate outcomes.

According to statements from lawmakers, including Todd Young, Elissa Slotkin, John Curtis, and Adam Schiff, the draft legislation, referred to as the

Public Integrity in Financial Prediction Markets Act of 2026

, is intended to introduce clearer rules around the use of non-public information in event-based trading markets.

The move comes amid growing concern that individuals with privileged access to sensitive information, ranging from government officials to corporate insiders, could exploit prediction markets for financial gain. Unlike traditional financial markets, where insider trading rules are well established, prediction markets often operate in a regulatory grey area, particularly when hosted on blockchain-based platforms or offshore jurisdictions.

Prediction markets have expanded rapidly in recent years, covering everything from political elections to economic indicators and corporate events. While proponents argue that these platforms improve information aggregation and forecasting accuracy, regulators have flagged the potential for unfair advantages when participants act on non-public information.

The proposed bill is expected to require stricter compliance rules, enhanced monitoring systems, and clearer definitions of what constitutes insider information in the context of prediction markets. It also proposes coordination between financial regulators and agencies overseeing elections, reflecting the growing overlap between political forecasting and financial speculation.

Balancing Innovation With Market Integrity

The proposed legislation signals a broader institutional effort to align prediction markets with standards applied to traditional financial systems. If passed, it could reshape how these platforms operate, particularly in areas such as user verification, transaction transparency, and reporting obligations.

Market operators may face increased compliance costs as they implement surveillance mechanisms designed to detect suspicious trading patterns. These could include sudden spikes in activity tied to specific outcomes or trades placed shortly before the release of sensitive information.

For participants, the changes may introduce new requirements around identity verification and limits on certain types of trades. However, the entry of institutional capital has also amplified concerns about information asymmetry. Prediction markets are often viewed as valuable tools for aggregating dispersed knowledge, particularly in fields like public health and economic forecasting.

Lawmakers argue that without clear safeguards, prediction markets risk replicating some of the same integrity challenges seen in traditional finance, only with fewer protections. The challenge lies in preserving these benefits while reducing opportunities for manipulation.

Institutionally, the bill highlights a growing recognition that prediction markets are no longer niche experiments and addresses the role of intermediaries, including platform operators and liquidity providers, who may have visibility into order flows and market positioning. By imposing stricter governance standards, regulators aim to ensure that these entities do not misuse privileged information.

Data Growth Trends and Risk Indicators

Recent data suggests that trading volumes on major prediction platforms have surged over the past two years, particularly during high-profile geopolitical and economic events. Some analyses indicate that cumulative trading activity may have exceeded $15 billion in 2025, up from less than $5 billion in 2022, with certain platforms reporting annual growth rates above 40%.

At the same time, recent reviews have identified patterns that raise concerns about potential insider activity. For example, analyses of historical trading data have found instances where contract prices moved sharply ahead of major announcements, suggesting the possibility of informed trading. While such patterns do not conclusively prove wrongdoing, they have prompted calls for closer examination.

Additionally, surveys of market participants indicate rising awareness of these risks. Decentralised platforms, in particular, pose unique challenges due to their pseudonymous nature and lack of centralised oversight. This makes it difficult to trace the origin of trades or enforce compliance measures, especially across jurisdictions.

The proposed bill seeks to address these gaps by introducing cross-border information-sharing mechanisms and expanding the authority of regulators to monitor digital trading environments. The current bill draws on these precedents, adapting them to the unique structure and function of prediction platforms.

The introduction of this bill marks a pivotal moment in the evolution of prediction markets, signalling a shift toward more structured oversight as the sector matures. While the legislation is still in its early stages, the outcome will likely shape the trajectory of these platforms for years to come.

In the coming months, continued engagement between lawmakers, regulators, and market participants will likely determine how these platforms balance innovation with accountability. The next phase of growth for prediction markets may depend not only on regulatory action but also on the industry’s ability to build trust through transparency and credible governance frameworks.