The investment giant Goldman Sachs has introduced strict internal restrictions, banning its employees from using confidential corporate information to trade on popular prediction markets. According to the new rules, staff members of the financial organization are now strictly prohibited from placing bets on prediction platforms regarding contracts related to the bank's own activities, macroeconomic indicators, geopolitical events, and election outcomes. Such measures have become a necessary response to the growing popularity of platforms like Kalshi and Polymarket, which open up tempting opportunities for insiders to illegally enrich themselves. Notably, Goldman Sachs turned out to be one of the first to formalize this ban, whereas surveys show that only a handful of the largest Wall Street firms currently have clear regulations governing staff activities on prediction markets, while other giants like JPMorgan Chase and Bank of America are only in the process of updating their internal codes of conduct.

Experts in financial law and cybersecurity are sounding the alarm, pointing out that the explosive growth in the number of available contracts on prediction platforms makes it virtually impossible to maintain total control over the improper use of closed data. The concerns of regulators and banking analysts are entirely justified, as precedents for high-profile investigations have already occurred. A striking example is the recent incident involving Google corporation employee Michelle Spanolo, who was charged with serious insider trading offenses by the US Commodity Futures Trading Commission and the Department of Justice. The woman used secret internal information about the compilation of "Year in Search" lists to place bets on the Polymarket platform, which allowed her to generate illegal profits of approximately one and a half million dollars, vividly demonstrating the vulnerability of new financial instruments in the face of corporate espionage.

The situation surrounding prediction markets exposes a fundamental problem in how traditional financial institutions are adapting to the new realities of alternative trading venues. Law professors emphasize that as the range of contracts on such platforms expands, it becomes increasingly difficult for corporations to track hidden schemes for monetizing insider information by their employees. In response, leading banks are beginning to massively revise their compliance policies, striving to close all possible loopholes for dishonest workers. It is obvious that in the near future, regulatory bodies will demand that financial giants implement more rigorous and transparent monitoring mechanisms to prevent prediction markets from turning into a tool for legalizing corporate secrets and manipulating public opinion through financial bets.

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The material is prepared solely for informational purposes and does not constitute a financial advice or recommendation.