Prediction Markets & Cryptocurrencies
Pseudonymous financial flows mask illicit activity
Cryptocurrency is fast becoming a leading threat area for illicit finance. Illicit crypto transactions grew to at least $154 billion in 2025, more than doubling from the previous year, according to the blockchain data platform Chainalysis.
The public but pseudonymous nature of transactions on the blockchain presents new challenges for researchers, journalists, data scientists and policy experts interested in dirty money flows.
Conflicts of interest and undue influence in the regulation of platforms are a major obstacle to effective control of corrupt cash in digital currencies.
Through the Illicit Finance Data Lab, ACDC is working with journalists and researchers to increase investigative capacity and understanding.
We are also building out our own capabilities. Focusing first on the intersections with corruption in public office, ACDC has begun researching insider trading risks on prediction market platforms, where users exchange crypto-currency denominated blockchain contracts on real-world events.
Recommendations to regulators and legislators
- Restrict high-risk prediction markets: Markets on outcomes determined by a small group of government and military insiders present a high risk of insider trading and do not serve the public interest.
- Require platforms to implement effective KYC policies, as well as the following processes.
Recommendations to prediction market platforms
- Require all users to submit an official government ID when creating accounts.
- Limit market precision to reduce opportunities for unfair information asymmetries.
- Flag high-risk winning trades and withhold payment until additional checks can rule out insider trading.
Members working on this problem

