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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.

PiggyBank: LAB token basis trading error, token manipulated by the market, USDC treasury has retracted 15%

The revenue agreement PiggyBank issued a statement acknowledging a serious error in the LAB token basis trading that took place last month. PiggyBank disclosed that the team previously purchased locked LAB tokens at a low price through OTC channels for about $100,000 (accounting for approximately 2% of the portfolio) and simultaneously shorted perpetual contracts for hedging.However, during the holding period, LAB encountered severe market manipulation, liquidity depletion, and deeply negative funding rates, leading to excessively high hedging costs. The team ultimately chose to close the short position to limit downside risk. Based on current prices, the total value of the locked LAB position is $1.35 million. However, due to the lack of liquidity in this position, PiggyBank will exclude it from the net asset value calculation until the first unlock on August 14.Although the situation is still changing and there is still potential for considerable returns, this is the "fairest and most transparent" way for users to manage liquidity. Therefore, today's net asset value will show a decline of approximately 15% in the USDC treasury, about 12% in SPYx, and about 9% in JitoSOL. A detailed report will be released next week, including follow-up processing plans. On-chain investigator ZachXBT previously publicly questioned PiggyBank, accusing it of insider control over more than 95% of the supply.

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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