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Introducing Amir Pouya Pakgohar
About Amir Pouya Pakgohar
Founder of The Dow Slayer
Amir Pouya Pakgohar holds a Master’s degree in Electrical Engineering from Sharif University of Technology, one of the most prestigious technical institutions in the Middle East. His academic work focused on advanced neural signal processing and biometric identity recognition using brainwave (EEG) patterns, blending engineering precision with human cognition.
Driven by a rare blend of scientific discipline and intuitive insight, Amir has developed a deep understanding of both human decision-making and complex market behavior. After years of academic and spiritual exploration, he turned his attention to financial markets, specializing in high-precision trading strategies with a focus on the Dow Jones index.
His trading approach is rooted in price action, trend-break patterns, and disciplined execution—executing only one trade per day during the New York session. What sets him apart is not just consistency, but a methodical scaling system across multiple accounts under a controlled mental framework.
Beyond trading, Amir envisions building institutions that empower the underprivileged—such as orphanages and philanthropic foundations—once he fully activates his long-term wealth generation strategy. He is also deeply inspired by spiritual and mystical traditions, believing that true success aligns inner mastery with outer achievement.
Welcome to The Dow Slayer — where precision meets purpose.
Amir Pouya Pakgohar is a seasoned Forex trader and market analyst, dedicated to mastering the intricacies of financial markets.
Amir combines his engineering expertise with trading skills to identify high-probability setups in the Forex market.
Join Amir on a journey toward financial independence.
Our Portfolio
Bridging Engineering and Financial Markets through Pattern Recognition
During his Master’s studies at Sharif University of Technology, Amir Pouya Pakgohar conducted advanced research on pattern recognition in brainwave signals (EEG)—a challenging domain at the intersection of neuroscience and machine learning. His thesis focused on using the AdaBoost algorithm to enhance the accuracy of biometric identification systems, demonstrating how weak classifiers could be strategically combined to form a robust decision-making model.
This early academic focus on detecting subtle, nonlinear patterns in noisy biological data laid the foundation for Amir’s later success in financial trading. Today, he applies the same analytical mindset and algorithmic rigor to the identification of reliable trading patterns in the highly dynamic and often chaotic structure of financial markets—particularly the Dow Jones index.
By building a bridge between engineering precision and market intuition, Amir has created a powerful trading framework rooted in his deep understanding of human behavior, signal interpretation, and risk-managed decision systems. His journey from decoding neural signals to decoding market trends reflects not just a change in field, but the evolution of a unified pattern-recognition philosophy across disciplines.
