Compliance

What Prediction Markets Mean for Compliance Oversight

July 06, 2026by Tiffany Magri

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Prediction markets are drawing new regulatory attention, and financial services firms are taking notice. Recent enforcement actions, expanding 24/7 market access, and evolving regulatory expectations are prompting compliance teams to evaluate whether existing frameworks address employee trading, communications supervision, and information misuse risks tied to these markets. The regulatory landscape around prediction markets is still developing, but firms don't need to wait for final guidance to start assessing where prediction markets intersect with current compliance programs and where additional visibility may be needed.

Key takeaways

  • Prediction markets are becoming a growing focus for regulators and enforcement agencies.
  • Existing employee trading controls may not fully address event-based contracts and prediction market platforms.
  • Continuous market access creates new supervision challenges outside traditional business hours.
  • Communications data can provide valuable context for identifying conduct and information-sharing risks.
  • Compliance teams can strengthen oversight by reviewing policies, training, surveillance, and employee disclosure requirements.

Why regulators are paying attention

Prediction markets allow participants to buy and sell contracts tied to the outcome of future events. Those events may include elections, economic indicators, corporate actions, regulatory decisions, sporting events, geopolitical developments, and other publicly observable outcomes.

Over the past year, regulators have signaled increasing interest in how these markets operate and how participants use information when trading them.

That attention intensified following two high-profile insider trading cases. In one case, federal prosecutors charged a U.S. Army servicemember with using classified information to trade event contracts. In another, a Google software engineer was charged with using internal company information to profit from a prediction market contract tied to search trends.

These cases share a common theme. Regulators are demonstrating that information misuse concerns extend beyond traditional securities markets.

For compliance teams, the takeaway is straightforward. The same information that creates risk in equities, options, and derivatives may also create risk in event-based contracts.

Prediction markets raise familiar risks in new places

The compliance risks associated with prediction markets are not entirely new. Most regulated firms already manage risks related to insider trading, conflicts of interest, restricted activities, and employee conduct.

What is changing is where those risks may emerge.

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Employees across financial services organizations routinely encounter information that could influence the value of event contracts. Research analysts, investment bankers, compliance professionals, consultants, legal teams, government affairs personnel, and corporate executives may all have access to information that could affect the outcome of a prediction market contract.

Traditional compliance programs are designed to address those risks within established trading environments. Surveillance systems, restricted lists, information barriers, and employee trading controls are often built around securities and traditional derivatives markets.

Prediction markets may not fit neatly into those frameworks.

Firms may find themselves managing familiar risks through channels they were not originally designed to monitor.

Around-the-clock trading changes supervision expectations

The rise of prediction markets also coincides with a broader industry shift toward continuous market access.

In May 2026, the CFTC issued Staff Advisory 26-16, outlining expectations for organizations seeking to support 24/7 trading and clearing operations. While the advisory applies broadly across market infrastructure participants, the underlying message is relevant for compliance teams as well.

Continuous access creates continuous risk.

Markets that operate around the clock can generate activity during evenings, weekends, holidays, and periods when traditional supervisory processes may be less active.

This changes several assumptions that have historically shaped compliance programs.

Preclearance reviews may depend on personnel availability during business hours. Escalation processes may be designed around standard operating schedules. Surveillance reviews may prioritize activity occurring during normal trading sessions.

Prediction markets compress those timelines.

An employee can receive information, access a mobile application, and place a trade within minutes, regardless of the day or time. If supervisory controls are not designed to account for continuous activity, firms may have limited visibility until well after the event occurs.

The challenge is not simply extending coverage. It is ensuring that governance frameworks align with the realities of how these markets operate.

Employee trading supervision needs a closer look

One of the most immediate questions for compliance leaders involves personal trading oversight.

Most firms maintain established processes for employee account disclosures, preclearance requirements, certifications, and restricted activities. Those processes are typically designed around brokerage accounts and traditional investment products.

Prediction market platforms introduce additional complexity.

Questions firms may need to address include:

  • Account disclosure requirements for prediction market platforms
  • Preclearance obligations for event contract trading
  • Restricted activities tied to specific event categories
  • Monitoring expectations for employee participation
  • Recordkeeping and documentation requirements
  • Training related to information misuse and conflicts of interest

Without clear guidance, employees may not understand whether prediction market activity falls within existing personal trading policies. The result can be uncertainty for both employees and compliance teams.

Firms that clarify these questions early avoid inconsistent expectations later.

Communications data may provide early risk indicators

Transaction monitoring remains an important component of employee supervision. However, communications data often provides context that trading records alone cannot.

Employees frequently discuss market views, emerging developments, industry events, and professional observations through email, messaging platforms, collaboration tools, and mobile communications.

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As prediction markets gain adoption, those conversations may provide valuable insight into emerging risks.

Examples of potential indicators include:

  • Discussions about prediction market positions or strategies
  • References to upcoming event outcomes
  • Conversations involving sensitive or nonpublic developments
  • Attempts to coordinate trading activity
  • Expressions of unusual certainty regarding future events

Viewed individually, these communications may appear benign. Combined with other supervisory signals, they can help organizations identify conduct risks, conflicts of interest, or potential information-sharing concerns earlier.

This is where communications intelligence becomes particularly valuable.

Organizations that can connect communications data with broader supervision programs gain a more complete understanding of employee activity and risk exposure. Rather than relying solely on transaction records, they can evaluate the context surrounding decisions, behaviors, and potential risk indicators.

That additional visibility can strengthen oversight while helping compliance teams focus investigative efforts where they matter most.

Signs it's worth reassessing your compliance readiness

Not every firm needs to overhaul its compliance program today, but a few signals suggest it's worth a closer look:

  • If your personal trading policy doesn't mention event contracts or prediction market platforms
  • If employees have mobile access to trading platforms outside your current account disclosure process
  • If your restricted list is built around soley issuers and securities rather than events or outcomes
  • If your communications surveillance lexicons haven't been updated for prediction market terminology
  • If compliance coverage is concentrated during standard business hours

These signals don't necessarily point to a gap, but they do point to where a firm should look first.

Five actions compliance teams can take now

Regulatory frameworks surrounding prediction markets continue to evolve. That does not mean firms need to wait for additional guidance before assessing potential exposure. Several practical steps can help organizations evaluate their readiness.

Review employee trading policies

Determine whether existing policies clearly address prediction market participation, account disclosures, and restricted activities.

Assess account visibility

Evaluate whether employees are required to disclose prediction market accounts and whether current oversight processes provide sufficient visibility.

Update training programs

Incorporate event-based trading scenarios into existing employee conduct and MNPI training initiatives.

Expand communications supervision coverage

Review supervisory lexicons, policies, and monitoring procedures to determine whether prediction market terminology and related discussions are appropriately captured.

Evaluate 24/7 risk monitoring capabilities

Consider whether current governance, escalation, and surveillance processes align with markets that operate continuously.

Preparing for the next phase of market evolution

Prediction markets create new pathways for employee activity, new challenges for oversight, and new opportunities for firms to strengthen visibility across communications, conduct, and trading-related risks. Organizations that evaluate these exposures now will be better positioned to adapt as regulatory expectations continue to evolve. The goal is not simply to monitor a new category of activity. It is to ensure that existing compliance frameworks remain effective as markets, technologies, and employee behaviors continue to change.

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Tiffany Magri
Smarsh Blog

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