Leo Valencia hosts the Gamma Optimizer service at EWT, where he provides options education and trade setups, as well as access to his proprietary Gamma Optimizer tool. The tool helps traders pick the option strike and expiration that maximize returns for a particular move in the underlying.
Leo has also developed what he calls the Deep Learning Algorithm, which, trained with historical SPX data, seeks to predict 1% upside moves in the SPX within a 5-session period. This algorithm is among the tools Leo provides in guiding members of Gamma Optimizer with options trading strategies and setups for minimizing risk and maximizing returns.
With a PhD in physics from Stanford University, Leo is an electrical engineer with more than 20 years of experience in research and development projects. He was a member of the technical staff at Bell Labs Lucent Technologies in the RF and Analog Simulation department, and also a senior member of Consulting Staff at Cadence Design systems for more than 15 years working on analog and digital simulation software projects.