Quantalytix Inc v. Bui

On May 7, 2026, Quantalytix Inc, a US-based quantitative trading firm, filed a lawsuit against former senior researcher Dr. Minh Bui in federal court. The company alleged that Bui, prior to his resignation in April 2026, secretly copied thousands of files containing proprietary trading algorithms, backtesting results, and source code from the company’s secure servers onto external drives. Forensic analysis revealed that the unauthorized data transfers occurred during non-business hours using administrator credentials, and that Bui had attempted to erase access logs to conceal his activities. Quantalytix claimed that Bui intended to use the stolen intellectual property to benefit a newly established hedge fund in the Cayman Islands. The suit sought emergency injunctive relief, damages for trade secret misappropriation under the Defend Trade Secrets Act, and penalties under the Computer Fraud and Abuse Act. After the court issued a temporary restraining order, Bui denied wrongdoing, insisting the downloads were for a postponed project. However, evidence showed the files were accessed after his resignation notice, and a hidden external drive was recovered. Facing a possible referral to federal prosecutors, the parties entered settlement negotiations and resolved the case in September 2026 with Bui agreeing to pay $3.2 million and accepting a permanent injunction.

Following a temporary restraining order and preliminary injunction, the parties reached a confidential settlement in September 2026. Bui agreed to return all misappropriated data, pay $3.2 million in damages, and accept a permanent injunction barring him from working in the quantitative finance sector for two years.

Whether Bui’s mass downloading of proprietary algorithms constituted trade secret misappropriation under federal law; whether his actions violated the CFAA by accessing computers without authorization; and the enforceability of non-disclosure and non-compete clauses in his employment agreement.

The case underscored the rising threat of insider data theft in the competitive algorithmic trading industry. It prompted fintech firms to enhance employee monitoring, adopt stricter access controls, and implement real-time data loss prevention systems. Regulators cited the case in calls for stronger federal protections for digital trade secrets.