Key Takeaways
- Goldman restricts employee access to Goldman Sachs prediction markets contracts
- Policy targets event-based bets across finance and corporate activity
- Firms tighten internal controls as prediction markets expand
Goldman Sachs has updated its personal trading policy to prohibit employees from participating in prediction market contracts tied to specific events. The move introduces defined limits on employee activity in a fast-growing segment of financial markets that allows users to wager on the outcome of real-world developments.
Policy update restricts event-based contracts across key areas
Under the revised policy, employees are barred from placing bets on event contracts involving individual companies, electoral outcomes, financial market performance, macroeconomic indicators, and geopolitical developments. The restrictions also extend to contracts directly linked to Goldman Sachs, including potential restructuring activity within a specific quarter or the likelihood of a corporate acquisition.
The policy outlines additional prohibited categories such as ceasefire timelines in ongoing conflicts, Bitcoin price movements, and the regulatory fate of pending mergers. These areas are considered sensitive due to the potential overlap between internal insights and external market speculation.
Despite the tighter controls, the bank allows employees to continue participating in Goldman Sachs prediction markets related to sports and entertainment. This distinction reflects a separation between financial or corporate-linked events and areas viewed as less connected to professional responsibilities.
Goldman Sachs has also introduced enforcement measures tied to the updated policy. Employees who violate the rules more than once could face disciplinary consequences, including termination or restrictions on their accounts. In cases where a trade is classified as improper, the bank may reclaim profits exceeding $200 or direct that amount to a charitable organization. These provisions reinforce the firm’s focus on maintaining structured oversight of employee trading behavior.
Industry response highlights growing focus on internal controls
The policy change comes amid broader industry attention on how Goldman Sachs prediction markets intersect with employee conduct and access to information. Financial institutions are increasingly evaluating how these platforms fit within existing compliance frameworks.
Goldman Sachs has adopted a targeted restriction model, while other firms are taking varied approaches. JPMorgan Chase has issued internal guidance encouraging employees to carefully consider their participation in financial sector-related contracts, rather than implementing a full prohibition.
Some hedge funds have taken a stricter stance by banning all personal account activity in prediction markets. Across a group of 50 companies, only 3 have established formal policies governing employee participation, while 2 others are actively assessing the issue. Morgan Stanley includes relevant provisions within its employee code of conduct, and Bank of America is in the process of rolling out updated communication regarding trading restrictions.
Recent developments have contributed to increased scrutiny of prediction market activity. In May, authorities filed charges in a case involving event-based contracts tied to corporate data. The individual involved reportedly generated approximately $1,200,000 in winnings. The case has prompted firms to reassess how access to nonpublic information could intersect with these markets.
Interest in prediction market platforms continues to rise across the financial sector. Earlier this year, Goldman Sachs CEO David Solomon described these platforms as “super interesting” and confirmed that he had met with leaders of major companies operating in the space.
For entrepreneurs and business owners, the development signals how large institutions are refining internal governance as new financial tools emerge. As prediction markets expand, companies are placing greater emphasis on aligning employee behavior with internal policies, risk management practices, and operational transparency.

















