Polymarket tightens rules on insider trading and manipulation across DeFi, U.S. platforms

ambcryptoPublished on 2026-03-23Last updated on 2026-03-23

Polymarket has introduced updated market integrity rules across its DeFi platform and CFTC-regulated U.S. exchange. It tightens restrictions on insider trading and market manipulation as the prediction market continues to scale.

The changes, announced on 23 March, update the platform’s Terms of Use and U.S. rulebook. It is also launching new market integrity pages outlining enforcement mechanisms and reporting processes.

Polymarket sets clearer rules on insider trading

The updated framework defines three specific categories of prohibited insider trading activity.

Users are barred from trading on stolen confidential information, including non-public data that could influence the outcome of an event.

The rules also prohibit trading on illegally obtained tips, where users knowingly act on information shared in breach of trust or confidentiality.

Additionally, Polymarket bans trading by individuals who hold positions of influence over an outcome, such as those directly involved in events tied to prediction markets.

The company said the changes are designed to bring greater clarity to participants and reinforce expectations across both platforms.

Expanded crackdown on manipulation tactics

Beyond insider trading, the updated rules explicitly prohibit a range of manipulative behaviors.

These include spoofing and wash trading, front-running and self-dealing, fictitious transactions, and broader attempts to disrupt orderly market activity.

The framework also covers information misuse and any effort to influence contract outcomes artificially.

Multi-layered surveillance system introduced

Polymarket outlined separate enforcement approaches for its DeFi platform and its U.S. exchange.

On the DeFi side, the platform relies on blockchain transparency, with all trades recorded on the Polygon network and publicly accessible. Third-party surveillance tools and internal monitoring systems complement this.

If suspicious activity is detected, enforcement actions may include wallet bans, internal investigations, or referrals to law enforcement.

For its U.S. exchange, Polymarket said it operates a more structured compliance system, including real-time monitoring via a control desk and partnerships with surveillance providers.

Also, there is oversight through a Regulatory Services Agreement with the National Futures Association [NFA].

Violations on the U.S. platform may result in suspensions, financial penalties, or regulatory referrals.

Scrutiny grows over prediction market activity

The rule update follows earlier scrutiny of trading activity on the platform.

Early in the month, AMBCrypto reported a cluster of linked wallets that collectively earned over $1 million from bets predicting U.S. and Israeli military strikes involving Iran.

The timing of those trades raised questions about whether participants may have acted on non-public or privileged information.

While no formal wrongdoing was established, the findings added to broader concerns about insider trading risks in decentralized prediction markets.


Final Summary

  • Polymarket has tightened rules on insider trading and manipulation, introducing clearer definitions and stronger enforcement mechanisms.
  • The update follows earlier scrutiny of suspicious trading activity, highlighting ongoing integrity challenges in prediction markets.

Related Reads

WeChat Agent Issues a 'Heroic Summons,' Half of the Internet Responds

WeChat AI Agent is on the horizon. The WeChat Open Platform has issued a guide for developers, offering them ways to integrate into the WeChat AI ecosystem. This will enable mini-programs to be discovered and invoked by the AI. Meituan has already announced its integration, allowing users to access services like food delivery through WeChat AI. Other platforms like Ctrip and Tongcheng have followed suit. Furthermore, WeChat is collaborating with major smartphone manufacturers to enable their native AI assistants to perform actions within WeChat, such as initiating calls or sending messages, through a controlled protocol called Agent-to-Agent (A2A). Reports indicate the WeChat AI Agent will be accessible by swiping right on the main interface. It aims to understand user intent within the rich context of chats, groups, and past interactions, then automatically call upon relevant mini-programs to complete tasks like ordering coffee or booking restaurants. This positions it as a potential "super app" with direct access to WeChat's vast ecosystem of services, social connections, and payment systems. Technically, this is a complex endeavor. It requires advanced natural language understanding, a "world model" to predict interactions within mini-programs (UI-Oceanus), multi-model orchestration for cost efficiency, and careful coordination with millions of third-party service providers. Tencent's development follows a "Co-Design" approach, where product teams and the Hunyuan model team collaborate closely, allowing capabilities honed in other AI products (like Yuanbao for chat, ima for search, WorkBuddy for office tasks) to be transferred to the WeChat Agent. Tencent is strategically opting for the A2A protocol over GUI-based automation (which it has blocked in the past), maintaining control over its ecosystem. To manage the immense scale and cost of serving 1.4 billion monthly active users, Tencent is deepening its ties with DeepSeek, known for its cost-effective training, to secure a low-cost inference backbone. The ultimate goal is to solve practical, everyday problems for users within the WeChat ecosystem, moving beyond technical benchmarks to deliver real utility, which Tencent sees as the key to winning in the long-term AI game.

marsbit1h ago

WeChat Agent Issues a 'Heroic Summons,' Half of the Internet Responds

marsbit1h ago

Humanity Loses $31 Million in Attack, Token Price Plummets 90% Due to a Single Private Key

On June 9th, the digital identity project Humanity Protocol suffered a major security breach resulting in over $31 million in losses. According to on-chain analyst Specter, hundreds of wallets holding the project's H token were drained. The attack was confirmed by founder Terence Kwok to be caused by the compromise of a foundation member's private key. As a precaution, users are advised to avoid interacting with Humanity's cross-chain bridge or liquidity pools. The incident caused the H token price to crash over 90%, from around $0.70 to a low of $0.052, wiping its market cap from $2 billion to approximately $35.7 million. The attacker allegedly minted 100 million new H tokens and is selling them for BNB. This breach adds to existing controversies surrounding Humanity Protocol. Founded in 2024, it aimed to verify human users via palm-print biometrics and zero-knowledge proofs. However, a leaked conversation in 2025 revealed that only about 1 million of its 9 million claimed Human IDs had completed biometric verification, suggesting 88% might be bots. Furthermore, the project has faced allegations of being a repackaged product from a Chinese access control vendor, raising privacy and authenticity concerns. Founder Terence Kwok's previous venture, Tink Labs, a hotel smartphone startup that raised $170 million, failed and entered bankruptcy in 2020 after burning through its funding. The current attack highlights the persistent critical issue of private key management in crypto. Unlike smart contract exploits, a private key compromise bypasses all on-chain security mechanisms. With no user compensation plan announced yet, this $31 million breach may be a final blow to the project's credibility, already weakened by previous controversies and a heavily depreciated token.

marsbit1h ago

Humanity Loses $31 Million in Attack, Token Price Plummets 90% Due to a Single Private Key

marsbit1h ago

Trading

Spot
Futures
活动图片