VolFlow Trading Systems is a Fresno-based, founder-led company focused on algorithmic trading education and system development. The classes teach the same practical process used to turn an idea into testable rules, connect data, simulate orders, and monitor a working system.
Founder · Lead Developer · Principal Quantitative Analyst
Isaac combines formal education in finance and business analytics with hands-on experience building and operating automated trading systems.
His work covers the full system lifecycle: defining trading logic, preparing market data, testing strategies, connecting brokerage APIs, handling orders, tracking positions, and building monitoring and safety controls. The course is based on that end-to-end development process.
VolFlow does not teach students to copy a secret signal or depend on a black box. Students learn how the parts work, how to test their own rules, and how to recognize the limits and risks of automation.
Isaac holds a master's degree in Business Data Analytics from Golden Gate University, has graduate training in finance from San José State University, and earned a bachelor's degree in Business Administration from Fresno State.
VolFlow's work includes brokerage APIs, live and historical market data, backtesting, paper trading, order execution, monitoring, and the controls required to operate an automated system responsibly.
Before VolFlow, Isaac served in the U.S. Army as a CH-47 flight engineer and noncommissioned officer. That background shapes the way the course approaches checklists, system states, risk controls, and repeatable procedures.
Isaac continues graduate study in information technology management while developing VolFlow's trading, data, and educational systems.
Algorithmic trading does not remove market risk and no system is guaranteed to be profitable. VolFlow classes are educational and do not provide individualized investment advice. The goal is to help students understand the technology, testing process, and operational responsibilities involved.