The Insider's Silence: When Wall Street Bars Its Own from the Oracle's Table

In the quiet corridors of Wall Street, a new fear whispers: not of market crashes, but of the oracle’s truth being traded before it is born. Over the past week, Goldman Sachs and Morgan Stanley have quietly updated their compliance handbooks to restrict employees from trading on prediction markets—Polymarket and Kalshi. The reason? The specter of insider trading, a ghost from traditional finance, has found a new home in the decentralized oracle. This is not a ban on crypto; it is a recognition that prediction markets, originally designed to surface collective wisdom, now mirror the very information asymmetries they sought to dissolve. The banks are not stopping their employees from buying Bitcoin; they are stopping them from betting on whether the next Fed rate hike will be 25 or 50 basis points, on whether a merger will close, on the outcome of a product launch they themselves are working on. The message is clear: the covenant of the oracle is now subject to the covenant of the firm. Prediction markets—Polymarket on Polygon, Kalshi under CFTC oversight—are unique instruments. They allow anyone to trade on the probability of future events. A contract for “Will the US unemployment rate be above 4% in December?” is a simple binary bet, but its price reflects the aggregated intelligence of all participants. In a world flooded with noise, these markets offer a signal: the crowd’s best guess, weighted by money. For years, they lived in the gray zone between gambling and finance, dismissed by regulators as toys for sports bettors. But the 2024 US election changed that. Polymarket’s volume surged past $1 billion daily, and institutions took notice. The same information that moves stocks—earnings whispers, regulatory leaks, supply chain data—could now be monetized on a blockchain settleable in USDC, without a broker, without a KYC check. That freedom, once celebrated as the soul of decentralization, has now triggered the most traditional of reactions: compliance walls. To understand what happened, we must understand the architecture of truth on these platforms. Polymarket uses UMA’s optimistic oracle for dispute resolution. When a market resolves—say, “Did Candidate X win the New Hampshire primary?”—anyone can challenge the result by posting a bond. UMA token holders vote, and the bond is redistributed. This mechanism relies on the assumption that the majority will be honest, because the cost of cheating outweighs the profit. But the assumption breaks when insiders have access to information that the public does not. If an employee of a pharmaceutical company knows that a drug trial failed before the official announcement, they can purchase “No” shares on Polymarket. The market would still trade near 50-50, because the public sees only the prior probability. The insider, acting on material non-public information, pockets the difference when the oracle confirms the failure. This is insider trading, pure and simple, but performed on a platform that no regulator has yet claimed jurisdiction over. The banks saw the gap before the regulators did. The technical irony is profound. My code was the covenant, not just the contract. The smart contracts that power Polymarket are immutable, transparent, and permissionless. They do not discriminate between a trader in Tokyo and a trader in the Goldman Sachs office on 200 West Street. The same code that was supposed to democratize access to information has become a vector for exploiting information privilege. In my own work auditing DeFi protocols, I have seen this tension before: the more accessible a market, the more it attracts those who can game it. But prediction markets are different, because their value lies precisely in the accuracy of their price discovery. If insiders dominate, the market becomes a mirror of their private knowledge, not a synthesis of public intelligence. The bear market taught me that silence is a form of liquidity—but here, silence is the insider’s edge, and liquidity is the price paid by the uninformed. Let me step back. I am Ryan Smith, a Web3 community founder who has spent years arguing that blockchain is not just about money, but about values. I wrote my first critique of ICOs in 2017, arguing that tokenomics should be social contracts, not Ponzi schemes. I audited Uniswap V2 not for bugs, but for its philosophy of fair launch. I weathered the 2022 bear market by retreating into the quiet chain, writing essays on resilience. And now, in 2025, I find myself defending the very tools I once praised, because I see them being co-opted by the very forces they were meant to replace. The banks’ new policies are not a surprise; they are a signal that prediction markets have arrived in the mainstream. But the question is: which mainstream? The one that demands open access, or the one that demands control? The core of this analysis is not the legality of insider trading—it is the philosophy of permissionless truth. Every broken token taught me how to hold value. The token here is the prediction market share itself, and the value it holds is fragile. Polymarket’s model relies on a blockchain that is not its own; it runs on Polygon, a sidechain with a centralized sequencer. Kalshi, by contrast, is a regulated exchange with full KYC, bank-grade custody, and a direct line to the CFTC. When the banks issued their restrictions, they did not distinguish between the two. They said “prediction markets” as a category, not “decentralized prediction markets.” This broad brush matters, because it conflates the risk of insider trading with the risk of using a platform that might be illegal. But the platforms are not the problem; the problem is the information. In traditional finance, insiders cannot trade on non-public information about a stock. Why would a prediction market be different? The argument against regulation is that these markets are “opinion-based” or “binary,” but the SEC has already shown its willingness to pursue cases in crypto for “investment contracts.” The Howey Test is flexible enough to wrap around a binary option if the underlying event is tied to a corporate outcome. And that is exactly what the banks fear—not the technology, but the exposure. Let me offer a contrarian perspective. The banks’ restrictions are actually a validation of prediction markets as legitimate financial instruments. Why would a firm issue a specific internal policy against trading on Polymarket if it thought the market was a joke? The action itself says: “We take these markets seriously enough to prohibit our employees from participating.” That is a form of recognition. It is akin to a university banning football players from betting on their own games—it assumes the market is efficient enough to be exploited. The real danger, then, is not that the banks are limiting participation; it is that they are signalling to other institutions that the same logic applies. If every investment bank issues similar guidance, the pool of informed traders on permissionless prediction markets will shrink. The markets will become less accurate, more volatile, and more like gambling. The loss is not to the insiders, but to the collective intelligence that prediction markets promised. The silence of the bear we heard? That bear is the insider’s advantage, growling from the shadows. From a technical perspective, the banks’ move also exposes a deeper risk: the oracle’s own governance. Polymarket uses UMA for dispute resolution. UMA is governed by token holders who vote on market resolutions. If an insider—say, a banker with a large UMA stake—wanted to manipulate a market, they could theoretically bribe or collude with other voters to incorrectly resolve a market in their favor. This is a second-order attack vector: not trading on inside information, but corrupting the truth-assertion mechanism itself. The security of the system depends on the honesty of the majority of UMA token holders, who are largely anonymous. In a scenario where prediction markets become lucrative enough, the value of manipulating the oracle may exceed the cost of acquiring voting power. This is not a far-off hypothetical; it is the natural consequence of a system that treats governance as scalable trust. My own experience with DAO governance—building The Commons—taught me that trust is compiled, not claimed. A smart contract can enforce rules, but it cannot enforce virtue. The banks’ policies are a reminder that even the most elegant code needs a human covenant to hold it. Let us now consider the ecosystem effects. Polymarket is built on Polygon, which uses a Proof-of-Stake consensus mechanism. The network itself is not directly affected by the banks’ policy, but the volume on Polymarket—if it drops—will reduce Polygon’s gas fees marginally. However, Polymarket is only a small fraction of Polygon’s total activity; the chain’s TVL is about $5 billion, with most of that in DeFi and gaming. The more significant impact is on the prediction market sector itself. Kalshi, the regulated alternative, may see increased interest from institutional clients who are comfortable with KYC and compliance. But Kalshi operates with a different value proposition: it is a centralized book, not an automated market maker. Its liquidity depends on market makers who are also vetted. If institutional capital flows to Kalshi, its volumes could grow, but at the cost of the permissionless ethos that made prediction markets revolutionary. The irony is that the same banks restricting their employees are likely the same institutions that could become liquidity providers on Kalshi. They are building walls on one side while opening doors on the other—but only for themselves. Now, let me step into the role of the community founder. In 2024, I launched The Commons, a community for ethical Web3 builders. We hosted roundtables on the intersection of AI and DAOs. One of the recurring themes was how to govern information markets without centralizing them. The response from the banks is a case study in what happens when a decentralized tool meets a centralized system of accountability. The original vision of prediction markets—set forth by thinkers like Robin Hanson—was that they would improve decision-making by aggregating information from all sources, including insiders. But Hanson also argued that insider trading should be legal in prediction markets because it improves price discovery. That radical position has never been adopted by regulators, and it is unlikely to be adopted now. The banks’ policy is a rejection of that very idea. They are saying: we do not want our employees to contribute to price discovery if it means they are using privileged information. This is a conflict between the efficiency of information and the fairness of markets. In the end, fairness will win, because fairness is a prerequisite for legitimacy. What does this mean for the future? I see three possible paths. The first is bifurcation: permissionless prediction markets like Polymarket retreat further into the cryptographic underground, serving only users who accept the risk of regulatory action. The second is forced compliance: regulators require all prediction markets to implement KYC/AML and report insider trading behavior to the authorities. This would destroy the anonymity that makes Polymarket attractive, but it would also legitimize it. The third path is the most hopeful: the emergence of privacy-preserving compliance tools—zero-knowledge proofs that allow a user to prove they are not an insider without revealing their identity. I wrote a whitepaper on algorithmic stewardship in 2025, arguing that human values can be encoded into smart contracts. Perhaps the next evolution of prediction markets will be a system where, before a user can trade on a contract, they must submit a zero-knowledge proof that they do not have access to material non-public information about the event. This is technically difficult—how do you define “material non-public information” in a proof?—but it is not impossible. It would require a new kind of oracle: one that attests to a user’s information state, not just the outcome of a vote. The takeaway from this episode is not that prediction markets are dying, but that they are growing up. Every revolution must confront its own shadow. The 2017 ICO boom taught us that code is not trust; the 2020 DeFi summer taught us that liquidity is not community; and now, the 2025 prediction market insider issue teaches us that permissionlessness is not fairness. The covenant of the oracle must be re-written to include the insider who chooses not to trade. My code was the covenant, not just the contract. But a covenant requires two parties. The banks have spoken; they are the second party. Now it is up to builders like us to design the next layer—one where the bear’s silence becomes a signal of integrity, not of exploitation. In the silence of the bear, we heard the truth. That truth is that the prediction market’s soul is not in its code, but in the values of its participants. We must build for those who choose to be honest, even when the code allows them to be otherwise.