Dive into a comprehensive 3.5-hour tutorial on machine learning applications for forex and stock analysis, as well as algorithmic trading. Explore pattern recognition techniques, data analysis methods, and predictive modeling for financial markets. Learn to implement percent change calculations, identify and store patterns, and use past outcomes for future predictions. Gain hands-on experience in preparing back-tests and increasing pattern complexity to enhance trading strategies. Master the integration of machine learning concepts with technical analysis for more effective automated trading in forex and stock markets.