Prediction Markets, Shadow Trading, and Insider Risk in the Age of Algorithms: The Empirical Evidence Now Deciding Securities Cases

Elizabeth Lan Davis
Elizabeth Lan Davis
Davis Wright Tremaine LLP

Elizabeth (Liz) Lan Davis leads the commodities and derivatives business practice within Davis Wright Tremaine’s financial services group. With nearly two decades of federal government experience at the Commodity Futures Trading Commission and the U.S. Department of Justice, Liz brings uncommon insight and perspective to advocating for clients before the CFTC, DOJ, IRS, SEC, the National Futures Association, and exchanges such as CME and ICE.

Joshua Mitts
Joshua Mitts
Columbia Law School

Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance.

Live Video-Broadcast: November 18, 2026

2 hour CLE

Tuition: $195.00
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Program Summary

 

The Trade Nobody Noticed Is Now the Trade the Data Finds

People now bet on elections, corporate events, and government actions on prediction markets such as Kalshi and Polymarket. One study of Polymarket contracts flagged more than 210,000 suspicious bets with about 70% win rates and an estimated $143 million in profits. In stock markets, statistical and machinelearning tools now spot suspicious trading that would have gone unnoticed ten years ago.

An employee bets on the employer's earnings or deals, and the company carries a new insider risk. A trader uses one company's confidential information to trade another company's stock, and shadow trading after SEC v. Panuwat is in play. An executive trades under a 10b5-1 plan, and the plan can become evidence of intent. A platform fails to investigate, and surveillance and KYC duties can create liability. Meanwhile, the CFTC, the states, and the platforms still dispute who polices event contracts.

You leave with a practical framework for advising platforms, companies, and individuals, plus concrete compliance steps: blackout periods, pre-clearance, monitoring, and data-vendor controls. You also learn how trading-pattern evidence is built and how to challenge it under Daubert and Rule 702, judgment calls no algorithm makes for you.

Key topics to be discussed:

  • Prediction Market Fundamentals
    Assess how prediction markets work, what the Polymarket evidence shows about suspicious trading, and where classified or corporate nonpublic information ends and legitimate superior analysis begins.
  • Event-Contract Jurisdiction and Liability
    Apply misappropriation, fraud, and breach-of-duty theories to event contracts while navigating CFTC authority, the federal–state gambling fight, and platform surveillance and KYC duties.
  • Manipulation and Election Risk
    Spot wash trading, coordinated bets, and AI-generated rumors used to move prices, and weigh the legal risks of trading on outcomes in the 2026 elections.
  • Shadow Trading and 10b5-1
    Evaluate shadow trading exposure after SEC v. Panuwat and when plans under the amended 10b5-1 rules, and their disclosures, can serve as evidence of intent.
  • Breaches, Shorts, and Activists
    Distinguish legitimate information edge from actionable misconduct in trading before cybersecurity breach disclosures, short selling and securities lending, and activist and short-anddistort campaigns.
  • Evidence and Compliance Programs
    Use and challenge trading-pattern data, event studies, and machine-learning surveillance models in enforcement and litigation under Daubert and Rule 702, and build compliance programs with blackout periods, pre-clearance, monitoring, data-vendor controls, and prediction-market policies and training.

This course is co-sponsored with myLawCLE.

Date / Time: November 18, 2026

  • 12:00 pm – 2:10 pm Eastern
  • 11:00 am – 1:10 pm Central
  • 10:00 am – 12:10 pm Mountain
  • 9:00 am – 11:10 am Pacific

Closed-captioning available

Speakers

Elizabeth Lan Davis, Partner | Davis Wright Tremaine LLP

Elizabeth (Liz) Lan Davis leads the commodities and derivatives business practice within Davis Wright Tremaine’s financial services group. With nearly two decades of federal government experience at the Commodity Futures Trading Commission and the U.S. Department of Justice, Liz brings uncommon insight and perspective to advocating for clients before the CFTC, DOJ, IRS, SEC, the National Futures Association, and exchanges such as CME and ICE. Ranked Band 1 nationwide and globally for derivatives enforcement by Chambers & Partners, she represents individuals and corporate entities in financial services examinations, regulatory investigations and litigation, and white-collar matters, and provides regulatory compliance guidance across the financial markets. (Her pronouns are she/her.)

  • Education & Credentials

Liz earned her J.D. from Tulane University Law School in 1999 and her B.A. from the University of Pennsylvania in 1996. She is admitted to practice in the District of Columbia.

  • Recognition & Leadership

Liz has been named one of “America’s Leading Lawyers for Business” by Chambers USA in Derivatives: Enforcement, earning a Band 1 ranking every year from 2023 to 2026, and is listed in The Best Lawyers in America for Derivatives and Futures Law (2027–present). The Department of Justice recognized her with its Outstanding Attorney Award in the Tax Division (2004, 2006, 2007). She was selected to the Washington Business Journal’s “Women Who Mean Business” (2021) and received the Pioneer Award from the Asian Pacific American Bar Association of the Greater Washington, D.C. Area (2021). She is the former chair of McGonigle, P.C., where she was a founding member of the firm’s Commodities, Futures & Derivatives practice group.

  • Professional Involvement

Liz is deeply engaged in the commodities, derivatives, and digital asset communities. She serves on the Executive Committee of the Futures Industry Association’s Law & Compliance Division and as a member and conference co-chair of the American Bar Association’s Commodities & Derivatives Section, and she has served as the Law Firm Board Member of the Commodity Markets Council and co-chaired the Global Digital Asset Cryptocurrency Association’s Compliance Community of Practice. She is active in Women in Financial Markets and the Women’s White Collar Defense Association, and is a past Fellow of the Leadership Council on Legal Diversity. Liz is also a co-author and co-editor of Banking on Blockchain: A Legal and Regulatory Guide, Second Edition, a comprehensive review of the law and regulation of digital assets and blockchain published by the American Bar Association in 2026.

  • Experience

Liz’s clients span senior management, traders, financial institutions, proprietary trading firms, agricultural and energy firms, futures commission merchants, fintech companies, digital asset exchanges, DeFi protocols, commodity pools, and commodity trading advisors. Drawing on her deep government background, she handles investigations and litigation efficiently and resolves civil and criminal matters in ways that significantly reduce the penalties sought by the government while zealously advocating for her clients. At the CFTC, she served as a chief trial attorney in the Division of Enforcement, leading civil regulatory investigations on matters including fraud and manipulation, disruptive trading practices, digital assets, credit default swap indices, undercapitalization, and swaps reporting. Before her nine-year CFTC tenure, she served as counsel to the Deputy Assistant Attorney General for civil matters in the DOJ Tax Division and as a trial attorney in its civil trial section, trying numerous bench and jury trials on behalf of the IRS in federal district and bankruptcy courts. Today, she defends financial institutions and professionals in enforcement proceedings, advises on regulatory compliance from registration and Dodd-Frank reporting to token listings and prediction markets, and represents financial entities in complex litigation and cost-effective internal investigations.

 

Joshua Mitts, David J. Greenwald Professor of Law | Columbia Law School

Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance. Employing empirical methods including statistical analysis and machine learning, Professor Mitts studies short selling, securities lending, informed trading on cybersecurity breaches, information leakage and hedge fund activism, insider trading on corporate disclosures, and information transmission in financial markets— work that has made him a leading and frequently cited authority on the intersection of technology, trading, and market regulation.

  • Education & Credentials

Professor Mitts holds a Ph.D. in Finance and Economics from Columbia Business School (2018), a J.D. from Yale Law School (2013), and a B.A. in Liberal Studies from Georgetown University (2010). His interest in data science dates back to high school, when he won the Microsoft Windows Forms Coding Hero Award for developing software for the Microsoft .NET platform.

  • Recognition & Leadership

Professor Mitts joined the Columbia Law faculty in 2017 as associate professor of law and was named professor of law in 2022 before being appointed to the endowed David J. Greenwald professorship. He is a fellow of the Columbia Law School Program in the Law and Economics of Capital Markets and a member of the Center for Financial and Business Analytics at Columbia University’s Data Science Institute. A widely sought voice on market structure and regulation, he is regularly quoted in national outlets including the Associated Press, CNBC, and Bloomberg News on topics such as prediction markets, short selling, and informed trading.

  • Professional Involvement

Professor Mitts frequently speaks at conferences, symposiums, and workshops, recently presenting his paper “A Legal Perspective on Technology and the Capital Markets: Social Media, Short Activism and the Algorithmic Revolution” at the New Special Study of the Securities Markets/FINRA Technology Conference. To help practitioners and scholars communicate more effectively with software engineers, he introduced the course Data and Predictive Coding for Lawyers to the Law School curriculum, and he taught at the Columbia Law Summer Program in American Law in Amsterdam in 2019. His research and commentary regularly inform public debate on emerging issues such as prediction markets and their implications for elections and securities regulation.

  • Experience

Professor Mitts’s scholarship sits at the forefront of empirical corporate and securities law, applying quantitative methods to questions of market manipulation, disclosure, and the flow of information among sophisticated traders. His specialties span securities law, corporate law, financial contracts, law and finance, and empirical methods in law, and his teaching bridges the worlds of law, finance, and data science. Through his research, teaching, and public commentary—including analysis featured in litigation and policy debates over prediction markets—he has established himself as an influential scholar shaping how regulators, courts, and market participants understand technology’s growing role in the capital markets.

Agenda

SESSION 1 – Betting on Inside Information: Insider Trading, Manipulation, and Corporate Risk in Prediction Markets | 12:00pm – 1:00pm

This session examines the rise of informed trading on prediction markets such as Kalshi and Polymarket, where people now bet on elections, corporate events, government actions, and pop culture. Growth on these platforms has brought a wave of trades that appear to rely on classified, corporate, or other nonpublic information. The session draws on the speaker’s own study of Polymarket contracts, which flagged more than 210,000 suspicious bets with about 70% win rates and an estimated $143 million in profits. It explains why this activity is so hard to detect, how the same markets can be moved by false rumors and coordinated trading, and who has authority to police it: the CFTC, the states, or the platforms themselves. It also covers the new risk for companies whose employees can bet on their employer’s product launches, earnings, deals, or leadership changes. Attendees will leave with a practical framework for advising platforms, companies, and individuals in this fast-moving area.  

BREAK | 1:00pm – 1:10pm

SESSION 2 – Beyond the Tipper and Tippee: Shadow Trading, 10b5-1 Plans, and How Data Analytics Is Changing Insider Trading Enforcement | 1:10pm – 2:10pm

This session addresses how insider trading law is expanding past the traditional tipper–tippee case. Regulators and plaintiffs now pursue shadow trading, meaning trades in other companies’ stock based on confidential information from one’s own company. They are also looking closely at trades made under 10b5-1 plans and at unusual trading before cybersecurity breaches and activist campaigns. At the same time, statistical and machine-learning tools can spot suspicious trading patterns that would have gone unnoticed ten years ago. The session covers the legal theories expanding liability, what the data shows about informed trading in stock markets, how regulators and litigants use trading-pattern analysis as evidence, and how that evidence can be challenged in court. Attendees will leave with concrete steps for building insider trading compliance programs that hold up under this new level of data-driven scrutiny.

Credits

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