The U.S. Collegiate Athletic Association Urges CFTC to Halt College Sports Prediction Markets
BlockBeats News, January 16th — The National Collegiate Athletic Association (NCAA) has recently urged the U.S. Commodity Futures Trading Commission (CFTC) to suspend college sports-related prediction markets until more comprehensive regulatory rules are established to protect student athletes.
NCAA President Charlie Baker wrote to CFTC Chairman Michael Selig on Wednesday requesting the suspension of college sports prediction market operations until "adequate safeguards are in place." Baker pointed out that the rapid expansion and unregulated development of sports prediction markets have led to increased harassment of student athletes by bettors, negatively impacting their mental and physical well-being.
He also emphasized that while most U.S. states set the minimum age for sports betting participation at 21, prediction markets typically allow users as young as 18 to participate, which could "severely entice college and even high school students" into engaging in potentially harmful speculative behavior. Baker proposed several regulatory suggestions in his letter, including:
· Establishing stricter age limits and advertising standards
· Implementing a more comprehensive event integrity monitoring system
· Introducing anti-harassment mechanisms
· Providing risk intervention and harm mitigation resources
Despite the increasing regulatory pressure, prediction market platforms such as Kalshi and Polymarket have seen escalating trading volumes in recent months. Lawmakers and regulators in several states, including Connecticut, New York, Nevada, and New Jersey, have sought to ban or restrict sports-related prediction markets.
You may also like

Particle Founder: The entrepreneurial insights I have gained the most from in the past year

Huang Renxun's latest podcast transcript: The future of Nvidia, the development of embodied intelligence and agents, the explosion of inference demand, and the public relations crisis of artificial intelligence

OKX Ventures Research Report: AI Agent Economic Infrastructure Research Report (Part 1)

The migration of settlement rights: B18 and the institutional starting point of on-chain banks

From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment

The second half of stablecoins no longer belongs to the crypto circle

Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation

The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations

Is the income of pump.fun real, earning a million dollars a day despite the market downturn?

The real reason why tokens are not selling: 90% of crypto projects neglect investor relations

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.