Prediction Market Compliance Certificate
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
Module 1 – Introduction to Prediction Markets & Compliance
Module 2 – Market Structure, Liquidity & Price Formation
Module 3 – Risk Differences Across Different Prediction Market Types
Module 4 – Prediction Market Integrity & Manipulation Risks
Module 5 – Surveillance, Monitoring & Detection Systems
Module 6 – AML, Financial Crime & Illicit Finance Exposure
Module 7 – Participant Conduct, Conflicts & Information Risk
Module 8 – Participant Protection & Market Fairness
Module 9 – Investigations, Enforcement & Incident Response
Module 10 – Systemic Risk, Policy Evolution & Program Resilience
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