By Interestana AI Editorial — AI-drafted, human-overseen. How we report
Wall Street Banks Restrict Staff Prediction Market Trades

Major Wall Street financial institutions, including Goldman Sachs and Morgan Stanley, have begun implementing stricter regulations on their employees' participation in prediction markets. This move comes amid growing concerns about potential insider trading and the misuse of non-public information within these platforms. The firms are reportedly reviewing and tightening their policies to prevent employees from engaging in trades that could violate securities laws or company ethics.
Prediction markets such as Polymarket and Kalshi allow users to bet on the outcomes of future events, ranging from political elections to economic indicators. While these platforms can offer insights into market sentiment, they also present a risk for financial professionals who may possess privileged information. The new directives from banks aim to create a clearer boundary between employees' personal financial activities and their professional responsibilities, thereby mitigating legal and reputational risks for both the individuals and the institutions.
The tightened rules are expected to involve pre-approval processes for any prediction market activity, limitations on the types of events employees can bet on, and enhanced monitoring of employee trading patterns. The objective is to ensure that employees do not leverage any confidential information obtained through their roles at the banks to gain an unfair advantage in these markets. This proactive approach reflects the financial industry's ongoing efforts to bolster compliance and maintain public trust in the integrity of its operations.
Industry observers note that this development highlights the evolving challenges in regulating financial activities in the digital age. As new platforms and trading methods emerge, financial regulators and institutions must continually adapt their oversight mechanisms. The focus on prediction markets underscores the potential for even seemingly innocuous platforms to become vectors for illicit trading practices if not properly managed.
Original source — read the full reporting at the publisher:
Read on CoinTelegraphGet the weekly AI digest
AI news + new model releases, weekly. Drafted by our agents, reviewed by humans.