Dr. Efrat Levy
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- Chat With Traders1h 33m
Fingerprinting the Big Players: Inside the Hidden Order Flow · Dr. Efrat Levy
Dr. Efrat Levy utilizes a proprietary machine learning algorithm to apply cybersecurity side channel analysis to financial markets, generating fixed, single-tick key levels ten hours before market open based on indirect volume and timing anomalies. Her strictly day-trading strategy requires simultaneous hits on these levels across three to four correlated assets, such as ES and NQ, to execute high-probability setups with a reported 85% win rate while maintaining a 3:1 to 4:1 risk-to-reward ratio. Currently operating through prop firms to leverage a $90 risk against a potential $1,000 gain, Levy aims to accumulate capital for a future live account that will allow for swing trading and overnight positions once the system's proprietary code remains protected from disclosure.