In this episode of Chat With Traders, Dr. Efrat Levy, a cybersecurity researcher with a Ph.D. in computer science and AI, discusses her unique approach to trading futures, which involves applying side channel analysis adapted from her cyber defense background. Dr. Levy explains how she uses machine learning to fingerprint big players in the market by identifying key levels and synchronous reactions across correlated indices. She emphasizes the importance of non-repainting single tick key levels generated by her models before the market opens and how these levels help her identify high-probability trades. Dr. Levy also shares her experiences, challenges, and strategies for managing risk and emotions in trading, highlighting the benefits of trading with a systematic approach and the advantages of using prop firms for leverage.
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