Six of the largest U.S. financial institutions updated employee compliance frameworks between July 8-10 to restrict or ban staff from trading event contracts on prediction market platforms. Goldman Sachs imposed a categorical ban on contracts covering macroeconomics, geopolitics, elections, and b...
"Think carefully before participating in markets related to the financial sector." — JPMorgan Chase, internal employee compliance directive, July 2026
Six of the largest U.S. financial institutions updated employee compliance frameworks between July 8-10 to restrict or ban staff from trading event contracts on prediction market platforms. Goldman Sachs imposed a categorical ban on contracts covering macroeconomics, geopolitics, elections, and bank-specific metrics. JPMorgan Chase issued a formal warning. Morgan Stanley confirmed it had either enacted or was finalizing similar restrictions. Bank of America began communicating policy updates. The coordinated response follows a May 27 criminal indictment of a Google engineer who used confidential corporate information to extract $1.2 million from Polymarket.
The crackdown arrives as prediction market monthly volume has surged from under $1 billion in June 2024 to $24 billion in April 2026 and over $41 billion combined across Kalshi and Polymarket in June 2026 alone. Polymarket's annualized revenue crossed $1 billion six weeks after removing its U.S. waitlist in mid-May. Kalshi, now eyeing an IPO at a $22 billion valuation, posted $31 billion in June volume. These are no longer fringe crypto experiments. They are regulated exchanges generating real revenue — and creating real compliance risk for every firm whose employees sit near material non-public information.
Prediction market trading volume has undergone a structural shift since mid-2024. According to data compiled by Pew Research and TRM Labs:
The total number of tradable contracts grew from approximately 220 per year in 2021 to more than 8,000 per month by May 2026, according to CFTC filings.
Polymarket's annualized revenue crossed $1 billion on June 26, 2026 — six weeks after the company removed its mobile waitlist and opened its U.S. exchange to unrestricted access. The company had acquired CFTC-licensed exchange QCEX for $112 million in July 2025, obtaining Designated Contract Market (DCM) status — the same regulatory tier as CME Group.
Kalshi, meanwhile, tripled its annualized revenue to $2 billion since November 2025 and was reportedly exploring an IPO at a $22 billion valuation. Institutional trading volume on the platform grew 800% in six months. The 2026 FIFA World Cup, which began June 11, drove Kalshi volume above $1 billion daily during the tournament.
Monthly unique wallets on Polymarket's decentralized platform nearly tripled in six months, reaching 840,000 by February 2026. Together, Polymarket and Kalshi accounted for 85-90% of total global prediction market volume, according to industry data aggregated by TRM Labs.
These are no longer niche instruments. They are federally regulated derivatives exchanges competing directly with traditional futures markets for speculative flow.
On May 27, 2026, the Department of Justice and the Commodity Futures Trading Commission brought parallel criminal and civil charges against Michele Spagnuolo, a staff information security engineer at Google. According to the complaint filed in the Southern District of New York:
The charges include commodities fraud (maximum 10 years), wire fraud (maximum 20 years), and money laundering (maximum 20 years). The CFTC simultaneously filed a civil lawsuit seeking disgorgement of profits and civil penalties. Google placed Spagnuolo on administrative leave.
The case established a critical precedent: prediction market event contracts are subject to the same insider trading enforcement regime as traditional commodity futures. The CFTC's pursuit of the case signaled that it would not treat prediction markets as a regulatory gray zone, but as regulated instruments under the Commodity Exchange Act.
For Wall Street compliance departments, the implications were immediate. If a Google engineer could face decades in prison for trading on internal search data, a Goldman Sachs analyst trading on advance knowledge of a rate decision, an earnings revision, or a merger announcement faced the same exposure — on platforms now explicitly under CFTC jurisdiction.
Between July 8-10, 2026, at least six major financial institutions publicly disclosed or confirmed updates to employee trading policies regarding prediction markets, according to reporting by CNBC, Bloomberg, and Reuters.
Goldman Sachs enacted the strictest framework. Employees are prohibited from trading event contracts involving:
Sports and entertainment contracts remain permitted. Staff who violate the policy more than once face dismissal or account closure. Goldman reserves the right to claw back gains exceeding $200 from improper trades, directing recouped funds to charity.
JPMorgan Chase stopped short of a categorical ban. The bank integrated a "strict cautionary directive" into its code of conduct, explicitly warning employees that trading on non-public, confidential information extends to prediction platforms. The guidance specifically lists stock prices, earnings, regulatory filings, leadership changes, interest rates, FX rates, economic policy, M&A activity, and product launches as areas of concern.
Morgan Stanley confirmed it either has a policy addressing prediction market risk or is in the process of finalizing one, incorporated into its employee code of conduct. Sports bets remain permitted.
Bank of America began communicating policy updates that outline prohibited activities and provide examples to clarify expectations for trading on prediction platforms. Specific policy details were not publicly disclosed.
Wells Fargo did not respond to media requests for comment on its prediction market trading policies.
The divergence in approach is notable. Goldman Sachs treated the risk as categorically unmanageable — a structural ban. JPMorgan opted for a principles-based warning, implicitly trusting employees to self-police. The difference reflects a deeper disagreement within the industry about whether prediction market exposure can be managed through existing compliance infrastructure or requires new, purpose-built controls.
The Wall Street response coincides with the most comprehensive federal regulatory effort for prediction markets to date.
On June 10, 2026, the CFTC published a Notice of Proposed Rulemaking (NPRM) proposing amendments to 17 C.F.R., Part 40 (Rule 40.11). The proposed framework establishes a three-step analytical test for evaluating whether event contracts "involve" unlawful activity, terrorism, assassination, war, or gaming — and, if so, whether they are contrary to the public interest.
Comments on the proposed rule are due July 27, 2026.
If adopted, the amended rule would represent the first comprehensive federal framework governing which event contracts can and cannot be listed on CFTC-registered exchanges. According to analysis from Ropes & Gray, WilmerHale, Mayer Brown, and other major law firms, the framework would:
The CFTC had previously issued a prediction markets advisory on March 12, 2026, and in June proposed separate rule changes for event contracts. The pace of regulatory activity reflects both the market's size and the enforcement precedent set by the Spagnuolo case.
The fundamental tension prediction markets create for financial institutions is structural, not behavioral. Traditional insider trading enforcement focuses on securities — stocks, bonds, options. The legal architecture governing material non-public information (MNPI) was built for those instruments.
Event contracts on prediction markets create parallel exposure. A bank employee who knows before the market that the Federal Reserve will adjust rates, that a corporate client is about to announce a merger, or that a regulatory filing will be delayed, holds information that is directly monetizable through prediction market contracts — contracts that are now traded on CFTC-regulated exchanges with transparent order books.
The enforcement surface is broader than securities. Prediction market contracts cover:
Each of these categories intersects with information flows inside major financial institutions. The compliance challenge is not simply preventing bad actors; it is monitoring, documenting, and restricting access to a new class of instruments that did not exist at meaningful scale 24 months ago.
Platforms have responded by scaling their own surveillance infrastructure. According to reporting from CNBC and PYMNTS, Kalshi has introduced enhanced employment verification tools. Polymarket has expanded its monitoring capabilities through data partnerships with analytics firms including Chainalysis and Palantir. Whether these measures prove sufficient is an open question. Combined monthly volume exceeding $40 billion creates an enforcement challenge that is orders of magnitude larger than what existed even a year ago.
The prediction market boom has created a distinct value distribution chain.
Platform operators capture transaction fees. Polymarket's $1 billion annualized revenue translates to an implied fee rate of approximately 0.4-0.5% on notional volume, based on estimated annual volume run rates. Kalshi's $2 billion annualized revenue on higher volume suggests a comparable fee structure.
Market makers and liquidity providers capture bid-ask spreads. According to CNBC reporting from July 2, most prediction market contracts remain thinly traded, meaning spreads on less liquid contracts can be wide. The economic value captured by market makers on these instruments is not publicly disclosed.
Compliance and surveillance infrastructure absorbs an increasing share of operating cost. The employment verification, transaction monitoring, and regulatory reporting requirements attached to DCM status impose fixed costs that scale with contract volume and market complexity.
Regulators capture filing fees and enforcement penalties. The CFTC's 2022 fine against Polymarket was $1.4 million. The Spagnuolo case seeks disgorgement of $1.2 million plus additional civil penalties.
Information holders — the structural risk. The economic value that Wall Street's crackdown targets is not platform revenue or trading fees. It is the latent informational advantage that employees of major financial institutions carry into a market where that advantage is directly and transparently monetizable.
The Wall Street prediction market crackdown is not about prediction markets themselves. It is about the collision between a $41 billion monthly market for information-sensitive event contracts and an industry built on information asymmetry. The Spagnuolo case demonstrated that the CFTC and DOJ will treat prediction market manipulation with the same severity as traditional insider trading. The bank-by-bank policy responses — ranging from Goldman's structural ban to JPMorgan's cautionary note — reflect an industry that recognizes the risk but has not yet converged on a solution.
The CFTC's proposed rulemaking, with a July 27 comment deadline, will shape the regulatory architecture for the next phase. The market's trajectory — from $1 billion to $41 billion in monthly volume in two years, with Polymarket and Kalshi now generating $3 billion in combined annualized revenue — suggests that the compliance infrastructure will need to catch up to a market that has already achieved institutional scale.
The question is not whether prediction markets will be regulated. They already are. The question is whether the regulatory and compliance frameworks can scale at the same rate as the markets themselves.