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The ghost trading behind Trump's policies.

CN
智者解密
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3 hours ago
AI summarizes in 5 seconds.

During Trump's second term, just before the announcement of several major policies, the market saw a series of exceptionally well-timed trades. From tariffs on China to sanctions related to Venezuela and Iran, whenever the White House was about to unveil a significant decision, the options and futures positions of relevant assets often moved in advance, matching the direction of subsequent policy results. Aside from traditional financial markets, some predictive market contracts were also noted to have bets that were highly synchronized with policy directions. A question that cannot be bypassed behind these scenarios is: Is there informed money that holds knowledge of policy trends, having already entered the market through institutional gaps, while the existing regulatory system finds it challenging to translate suspicions into actionable charges and accountability based on evidence.

On the Eve of Policy Implementation: How Funds Lay in Wait in Advance

Regarding tariff adjustments or sanctions decisions against Venezuela or Iran, market participants have repeatedly observed similar scenes: While public opinion is still in the "expectation discussion" phase, certain options and futures contracts highly related to these policies experience sudden enlargements in positions and trading volumes, with buying and selling directions unusually unified. By the time the White House officially announces, these positions immediately see ideal realizations, seamlessly connecting with the policy direction, with this precision of "timing and price" far exceeding typical speculative bets under general information disclosure conditions.

In response to this series of patterns, insider trading expert Andrew Wostein remarked in a media interview that the form and rhythm of these trades "highly conform to the characteristics of insider trading." What he refers to is not just the directional accuracy, but a repeatedly occurring structural layout across multiple events and assets. However, publicly available information does not provide verifiable specific time points or monetary details, which also means that the outside world can only describe "anomalies" at a macro level, making it difficult to restore fund inflow and outflow tracks at a micro level.

Media and research institutions, based on limited disclosures and price performances, have estimated that some traders may have profited by millions of dollars from these events, but these figures are merely estimations based on public reports and do not constitute judicially recognized evidence. The relevant data has neither undergone complete disclosure by regulatory agencies nor entered formal litigation processes; thus, it is closer to a "public reference" for understanding the scale rather than a rigorous ledger that could directly support criminal or civil charges.

From Wall Street to Oil Markets: The Secret Echoes of Commodities

Compared to traditional stock markets, major geopolitical decisions often have a more direct impact on commodity futures, especially energy varieties. Sanctions against Iran or Venezuela could reshape the global crude oil supply landscape with a single document, thereby affecting the pricing of a whole series of derivatives from crude oil futures to refining and shipping. When policies are in the incubation stage, any signal that is "half a step" faster than publicly available information is enough to create significant profits in oil prices and related derivatives, making the commodity market one of the most sensitive radars for anticipated policy trading.

Former director of enforcement at the U.S. Commodity Futures Trading Commission (CFTC) Etan Gorman pointed out that the commodity sector is closely linked to policy information, but actual cases that enter enforcement procedures and are deemed illegal are few. This is partly because commodity prices are naturally driven by multiple factors, easily providing “reasonable economic explanations” for suspicious trades; on the other hand, the cross-national and cross-market structure of participants means that regulatory agencies face higher costs when penetrating identity and restoring the information chain.

Legally, the boundaries of insider trading in commodities are inherently blurrier than in traditional securities. Which constitutes "key information that should be disclosed but is not," and how to prove that specific traders gained advantageous information from the policy-making process when placing orders, these issues often involve lengthy and controversial chains of proof. The result is that a large number of suspected insider trades can only remain in public discourse and academic research, regarded as "suspicious patterns," but are difficult to convert into cases that can withstand court scrutiny.

Gray Betting in Predictive Markets and Regulatory Vacuum

Beyond traditional finance, predictive markets represented by Polymarket provide traders with another channel to bet on policy directions and geopolitical event outcomes. On these platforms, users can express their views on whether a policy will be implemented or a certain sanction will escalate directly in the form of prices, with contracts settled directly linked to event outcomes. This structure naturally attracts information-sensitive capital participation and amplifies the monetization space of policy message advantages.

However, whether predictive markets belong to financial derivatives, gambling products, or represent a brand-new form of information market remains controversial within the regulatory framework. In publicly available reports, no unified conclusion has formed regarding whether platforms of this type are completely covered by the existing financial regulatory system and which level of regulatory agencies should lead the oversight, with some regulatory statements even marked as "pending validation." This ambiguous attribution results in predictive markets creating a regulatory gray area beyond institutional radar.

Surrounding the major policies during the Trump era, some media reports mentioned that “anomalous bets” existed in predictive markets that highly corresponded with policy outcomes; whether in contract direction or position changes, they were later interpreted by public opinion as signals of "prior knowledge." However, it is essential to emphasize that these accusations mostly come from single or individual media channels and lack publicly cross-verified contract details and funding source information. They resemble narratives that provide a framework for public imagination rather than being confirmed factual chains by regulatory or judicial departments.

White House Response and the Reality Gap of Federal Ethical Rules

In response to external doubts regarding profiting from insider trading of policy, the White House's public stance is relatively clear: a widely cited statement asserts that the relevant accusations are "groundless." However, based on currently verifiable information sources, this assertion primarily arises from a single reporting channel and lacks more detailed investigative disclosures, neither addressing specific trading patterns nor detailing internal auditing processes, making this denial appear more as a political position statement in the public discourse than a conclusion based on a comprehensive audit.

From the perspective of institutional texts, federal employees are not afforded leniencies against institutional constraints. The current federal ethical rules and information disclosure requirements explicitly prohibit officials and related personnel from profiting from undisclosed policy information, requiring them to adhere to a complete set of norms in personal asset allocation, conflict of interest declaration, and post-employment "cooling-off period" trading. Theoretically, these clauses should form the first line of defense against the private use of policy information.

However, in practice, translating paper rules into enforceable constraints often requires coordination across agencies, complex evidence gathering, and a convergence of political will. Information flows between the White House, various ministries, and external consulting networks, while regulatory authority is dispersed among ethics offices, securities and futures regulatory agencies, and judicial departments. This fragmented structure raises the threshold for proof and accountability, and once a case involves current or former high-level officials, potential political obstacles may further weaken the rules' deterrent effect.

The Dilemma of Regulators: Many Suspicions but Difficult to Convict

If we compare the traditional securities market with the commodities and predictive markets, we can see significant differences in the maturity of regulatory tools. The stock and standardized bond markets have established information disclosure systems, centralized clearing, and transaction record retention systems, enabling regulators to trace account affiliations and abnormal patterns relatively easily. In contrast, participants in the commodities market are more diverse, with some trades completed through over-the-counter channels, while predictive markets are often built on decentralized or cross-border platforms, making it harder to form a unified regulatory perspective.

Under the premise of banning the fabrication of specific amounts, times, and individuals involved, this regulatory dilemma can only be explained at a structural level: even if a trading pattern is statistically "extremely suspicious," proving insider trading legally still requires establishing a strict causal chain between the identity of the trader, the source of information, intent, and behavior. This means that it must be proven not only that someone accessed undisclosed information, but also that their order decision was directly related to that information, rather than arising from general macro assessments or market noise, which is particularly challenging in a politically sensitive context.

Some media discussions of these phenomena during the Trump era also introduced an additional dimension: that white collar crime and financial investigative agencies were intentionally or unintentionally "weakened" during that stage, reducing the probability of complex financial cases being filed and thoroughly investigated. However, these claims have mostly been marked as "pending validation" in research briefs, lacking comprehensive official responses and systemic data support, serving only as background references in narrative form rather than being regarded as established facts.

The Crack in Market Trust and Future Regulatory Game

Regardless of whether the judicial level can ultimately provide a clear conclusion, this series of discussions surrounding abnormal trading prior to Trump’s policies has already opened a crack concerning market fairness in investors' minds. Ordinary participants see the shadowy relationship between suspected "informed money" and the policy tier, and how some people may complete wealth leaps based on information advantages while the public is still debating directions. This sentiment directly points to a questioning of the privileges of the political class and the transparency of the system.

Looking ahead, if regulators are to mend this crack, they may need to advance synchronously in three directions: first, enhancing cross-market monitoring to include stocks, bonds, commodities, and predictive markets within a more unified abnormal trading identification framework; second, clarifying the regulatory attribution of new platforms like predictive markets, defining their position within the existing legal framework to avoid creating a de facto regulatory vacuum; third, continuing to tighten rules concerning officials and related individuals regarding information compliance and asset trading, transforming paper moral requirements into more enforceable hard constraints.

For traders who simultaneously engage in crypto and traditional assets, these events reflect not only a style issue of a particular administration but also a broader question of the era: In an environment where information is highly politicized and its distribution is highly unequal, how can one still maintain a minimum level of trust in price signals? When prices are no longer seen as "tools for aggregating dispersed information" but are suspected to be outcomes of a game played by a few, the market's resource allocation function will also become distorted. Whether through regulatory reform or market self-discipline, the ultimate question to be answered remains the same: Who is vouching for the credibility of prices?

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