On July 21, 2026, Bloomberg Businessweek cited an analysis by data agency Polysights, bringing prediction markets, including Polymarket, into the compliance spotlight: in a trading sample from August 2025 to June 2026, Polysights flagged approximately 34,000 transactions as potential insider trading, with related abnormal bets involving around $200 million in the first half of 2026. Even more glaring is the concentration of account structures—57% of the related wallets were created less than 24 hours before placing bets, and the top 1% of profit-making wallets accounted for over half of the financial gains. In markets related to Iran and Venezuela, 38 addresses demonstrated a win rate of up to 98%, collectively profiting around $1.6 million. These figures pulled an innovative product, originally packaged as "predicting the future," directly back into the familiar narrative of capital markets: prediction markets, which oscillate between securities, derivatives, and gambling, encounter traditional finance's core red line against "insider trading" when their betting chains are suspected of being connected to insider information. In response to external scrutiny focusing on abnormal patterns, Polymarket publicly emphasized that it would monitor suspected insider and other illegal activities, having already referred nearly 100 suspicious wallet addresses to law enforcement agencies. Another platform, Kalshi, has also been reported to be strengthening its identity verification processes in response to heightened compliance pressure. Although public information indicates that, so far, there have been no formal investigations or penalties from US SEC, CFTC, or other agencies against the relevant platforms or users, following the identification of this $200 million abnormal betting, the gap between product innovation and regulatory compliance in prediction markets is rapidly tightening.

Data Exposure: Portrait of 34,000 Abnormal Bets

Among the approximately 34,000 flagged transactions listed by Polysights, a recurring profile quickly emerged: accounts were often created shortly before opening positions, followed by sudden large bets on markets with extremely low win rates, and completing high-density betting within a very short timeframe. Statistics show that 57% of the relevant wallets were created less than 24 hours before their first trade. These new wallets mainly focused on a very small number of events, showing almost no other exploratory trading, appearing more like shells set up specifically for a particular "task."

Even more striking is the shape of the profit distribution. Polysights' analysis pointed out that the top 1% of profit-making wallets accounted for over half of the financial gains, and in the markets related to Iran and Venezuela, there were also 38 associated addresses with a win rate as high as 98%, collectively profiting around $1.6 million. Such extreme concentration and high win rates objectively point to the possibility of information advantages or structural unfairness: not all participants are on the same starting line. However, Polysights technically only labeled the aforementioned transactions as "potential insider trading" without making direct determinations of illegality or violation, indicating that what external observers can still rely on is a set of high-risk profiles and unbalanced win rates rather than qualitatively confirmed conclusions by judicial or regulatory authorities.

Platform Self-Inspection and Reporting

Prior to Polysights bringing the $200 million abnormal betting to light, Polymarket had already begun doing its homework behind the scenes. The platform publicly emphasized its commitment to monitoring insider trading and other illegal activities and, within the analysis interval leading to the first half of 2026, transferred nearly 100 suspicious wallet addresses to law enforcement based on internal risk control screening. For users, this means that some "high win rate addresses," originally only existing on-chain, have been elevated from the technical risk list to potential judicial targets. However, public reports did not disclose whether these wallets were subsequently formally investigated or penalized; the silence in law enforcement coupled with proactive reporting from the platform creates a gap in the regulatory loop that has yet to be fully connected, highlighting the pressure felt by the platform is ahead of explicit rules.

This self-inspection and reporting is not solely a lone effort by Polymarket. Another prediction market, Kalshi, has been reported to be enhancing its identity verification processes. Although specific measures have not yet been made public, the action itself has already sent signals to users and regulators: against a backdrop of increasing political and geopolitical betting markets and continuous industry expansion, similar platforms are beginning to tighten their entry points rather than continue tolerating ambiguous spaces for "new accounts to act fast." In the absence of any record of formal investigations or penalties from the SEC or CFTC, platforms are opting for proactive monitoring, reporting suspicious addresses, and raising identity thresholds, essentially establishing self-imposed compliance boundaries in anticipation of the arrival of true regulatory red lines that would view them as high-risk venues allowing abnormal trading.

Regulatory Gray Area: Prediction Markets and Insider Information

What truly complicates regulation is the legal identity of prediction markets themselves, which hangs in the air. The markets Polysights focused on don’t have clear targets and issuers like traditional securities, yet they display a highly bettable structure around geopolitical events in Iran and Venezuela. Some contract formats resemble financial derivatives but are often categorized as “gambling.” Under the current framework, it is not unified whether they are subject to securities law, derivatives regulation, or gambling control, directly determining whether "betting" can be considered a trading behavior governed by insider rules.

Polysights has only classified around 34,000 transactions, totaling about $200 million, as "potential insider trading" based on transaction patterns, without citing specific clauses or indicating which laws may have been violated. To legally constitute insider trading, it typically must be proven that information was not disclosed, is significant, and has a verifiable connection to the trading parties. However, from on-chain data and the abnormal win rates themselves, it is challenging to independently cross these thresholds. More critically, as of now, public information has yet to produce records showing the SEC or CFTC initiating formal investigations or penalties against Polymarket or relevant wallets. The platform's reporting of wallets and strengthening of identity checks only marks the beginning formation of the regulatory chain, yet has not transformed into actionable compliance standards. Until this gray area is clearly delineated, every transaction marked as “potential insider” in prediction markets remains suspended in public judgment rather than legal definition.

War Betting Markets and the Iranian-Venezuelan Controversy

Among the abnormal samples outlined by Polysights, the markets related to Iran and Venezuela have become the most striking: 38 addresses have a win rate of up to 98% in these markets, with a total profit of approximately $1.6 million within an analysis period of less than a year. The markets themselves revolve around geopolitical and war risks, with highly asymmetric information, while trading volumes markedly increase at escalation points, and the high-win-rate addresses almost seem to have received the script in advance. Iran and Venezuela have long been tied to issues like sanctions and cross-border trading restrictions in the traditional financial system, and when such countries are brought into prediction markets asking "Will a war break out?" or "Will sanctions escalate?", the exceptionally high win rates transform from mere financial data into a direct linkage with national security and compliance red lines.

What truly alerts regulators is not just "how much was earned," but rather "on what topics and with what information advantages was it earned." If bettors possess undisclosed diplomatic decisions, sanction arrangements, or intelligence on military actions, frequently profiting in prediction markets on sanctioned countries and war events would naturally tread into sensitive areas of cross-border compliance and sanction enforcement: whether the source of funds is compliant, whether the information qualifies as “material non-public information” under various countries' securities or derivatives rules, and whether the trading paths evade traditional sanction systems would be scrutinized under a magnifying glass. Despite public information currently lacking records identifying these addresses as violating sanctions or other specific regulations, Polymarket has referred nearly 100 wallet addresses to law enforcement, and Kalshi has been reported to be strengthening its identity verification processes. These actions are themselves a preemptive response to high-sensitivity markets: in the future, in markets involving wars and sanctioned countries, platforms are expected to bear greater regulatory obligations in terms of listing reviews, risk control models, and user vetting, with high-sensitivity prediction markets likely becoming an experimental ground for redefining industry boundaries.

Unclear Compliance Path in a Three-Party Game

After Polysights brought the $200 million abnormal betting into the spotlight, the game pattern of prediction markets has taken shape: on one side, platforms are tightening ahead, with Polymarket monitoring and reporting nearly a hundred wallets, while Kalshi intensifies identity verification processes to hedge against potential insider trading allegations; regulators, meanwhile, observe and assess the magnified risk perceptions against limited facts. As of July 2026, there have been no formally identified insider trading cases, nor has the SEC or CFTC provided a unified framework, leaving them to explore feasible enforcement boundaries in the realm of media exposure and reported data; traders are forced to recalibrate odds, with abnormal profits no longer just a technical advantage but bundled with risks of wallet identification and market delisting. Looking ahead, the direction of compliance evolution is almost chronicled in the platforms' current self-rescue actions: stronger identity verification, more thorough delisting of sensitive markets, and more detailed suspicious transaction reporting mechanisms may all be incorporated into future institutional designs, potentially aligning regulatory standards for derivatives or implementing special restrictions concerning sanctioned countries for certain political and warfare themes. The greatest uncertainty lies not in the data itself, but in how law enforcement agencies will utilize these reported information and whether they are willing to tailor specific rules for prediction markets—once stepping from "assessment" to "qualification," the currently gray trading logic will be compelled to make a clear choice between compliance and exit.

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