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manipulation

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PiggyBank discloses details of the LAB basis trading manipulation incident and will compensate affected users

PiggyBank released a detailed report on the LAB incident on June 6, stating that the protocol experienced a net withdrawal of approximately $579,000 on June 6, primarily due to a LAB token basis trade being manipulated by the market.In early May, PiggyBank purchased 142,800 locked LAB tokens (approximately $102,500) through an OTC intermediary while simultaneously opening a perpetual contract short hedge. However, market participants continuously maintained the spot price above the perpetual contract price, resulting in a deeply negative funding rate (annualized -17,000%), and the high hedging costs forced the shorts to close, resulting in a loss of approximately $476,000. The currently locked LAB tokens have a spot value of about $1 million, but due to poor liquidity and lack of hedging, they have been excluded from the NAV calculation.PiggyBank will undergo structural reforms: increasing transparency of on-chain mechanisms, strategy logic, and fund allocation will be publicly verifiable, while basis trading and funding rate arbitrage will be gradually phased out. In terms of compensation, affected users will receive USDC compensation based on actual losses, with funding sources including NAV discrepancies, future LAB sales (expected to unlock from August 14 to October 14, currently valued at approximately $1 million), and 50% of future platform revenue. All users recorded in the snapshot on June 6 are eligible for compensation.

a16z Crypto: The prediction market still needs to solve the problems of manipulation risks and information bias

a16z Crypto published an article analyzing the unique value and challenges faced by prediction markets. Prediction markets allow participants to trade on the outcomes of events, aggregating dispersed information through price signals to provide real-time estimates of the probabilities of future events. Unlike traditional polls, prediction markets have the ability to update in real-time and incentivize participants to bet their capital on their information, thereby improving prediction accuracy.The article points out that prediction markets are used not only by companies for product launches and research experiment forecasts but also by the media as a source of "crowd wisdom," covering a wide range of events from geopolitical issues to AI model performance. Its core advantage lies in providing independent probability estimates for specific events, rather than relying on indirect signals from overall asset price movements. However, prediction markets still face challenges related to infrastructure and market design, including event verification, contract settlement, participant information adequacy, and potential manipulation risks.a16z believes that if these issues are resolved, prediction markets are expected to become important tools for decision-making and information aggregation, expanding financial and societal insights into future events.
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