Prediction Market Compliance
Managing Risk, Integrity, and Participant Conduct
Prediction markets represent one of the most complex and rapidly evolving areas of financial crime and compliance. Sitting between gambling, financial markets, and information systems, these markets introduce unique risks that traditional compliance frameworks are not designed to address.
The Prediction Market Compliance course provides an examination of how these markets operate, where risks emerge, and how effective compliance frameworks can be designed and implemented.
Participants will develop a structured understanding of:
How prediction markets function at a technical and economic level
The intersection of market integrity, financial crime, and participant behavior
The impact of information asymmetry, outcome influence, and market design
The role of surveillance, governance, and enforcement frameworks
The Prediction Market Compliance Curriculum
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Core mechanics of outcome-based contracts
Price formation as aggregated belief
Market positioning between gambling and financial systems
Unique compliance and integrity challenges
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Trading models (order books, AMMs, hybrid systems)
Liquidity dynamics and concentration risk
Information flow and arbitrage behaviour
Compliance implications of market design
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Sports, political, financial, and social-event markets
Outcome control and influence risk
Public-interest sensitivity and regulatory scrutiny
Information asymmetry across different market categories
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Manipulation typologies (spoofing, wash trading, signalling)
Insider participation and information-based abuse
Thin-market distortion and coordinated trading
Micro-event contract vulnerabilities
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Risk-based surveillance frameworks
Alert design and behavioural indicators
Investigative workflows and case management
Challenges in high-velocity markets
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Money laundering typologies in prediction markets
Sanctions evasion and cross-border risk
Transaction monitoring challenges
Customer due diligence and nominee risk
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Conflicts of interest and role-based risk
Insider participation and privileged access
Governance weaknesses and influence pathways
Controls for misuse of information
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Disclosure standards and contract transparency
Dispute resolution frameworks
Marketing and responsible participation
Balancing consumer and investor protection models
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Internal investigations and escalation frameworks
Market suspensions and emergency controls
Regulatory engagement and law enforcement cooperation
Remediation and reputational risk management
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Scaling risks and market interdependence
Automation, AI, and emerging technologies
Political and regulatory pressures
Building adaptive and resilient compliance programs
Why This Course Matters
Prediction markets are not simply a variation of betting or financial trading - they represent a distinct category of risk driven by:
Information as the primary asset
Participant incentives tied to real-world outcomes
Structural ambiguity across regulatory frameworks
As these markets grow in scale and visibility, they will increasingly attract:
Regulatory scrutiny
Public-interest concerns
Financial crime risk exposure
What You Will Learn
By completing this course, participants will be able to:
Understand the core mechanics and structure of prediction markets
Identify and assess integrity risks, including manipulation and insider participation
Analyze financial crime exposure, including money laundering and sanctions risk
Evaluate how market design decisions influence compliance outcomes
Apply risk-based approaches to surveillance, monitoring, and detection
Assess participant conduct, conflicts of interest, and information misuse
Design and evaluate compliance frameworks tailored to prediction markets
Pricing
Looking to purchase for your organization? Enterprise pricing is available.
Study at your own pace
Accessible via online LMS, acgcs.online
Certificate of Completion issued