Forex Trading, MATLAB and Machine Learning

The book outlines a comprehensive guide to Forex trading, leveraging MATLAB and machine learning for developing and implementing trading strategies. It begins with an introduction to Forex trading, covering the market's size, participants, factors influencing currency exchange rates, and various trading strategies.

The Forex market is the largest financial market in the world, with a daily trading volume exceeding $6 trillion. It involves buying one currency while simultaneously selling another, with currency pairs such as EUR/USD, GBP/USD, and USD/JPY being the most commonly traded. Factors that influence currency exchange rates include economic indicators, inflation rates, employment data, interest rates, political stability and economic performance, market sentiment and speculation, and geopolitical events. MATLAB is a programming language and software environment that can be used to import and preprocess financial data in MATLAB, and machine learning can be used to develop a Forex trading strategy using MATLAB and machine learning.

Beginning to advanced topics in Forex trading, MATLAB, and machine learning include high-frequency trading and algorithmic trading, sentiment analysis and news-based trading, portfolio optimization and risk management, Forex ChatGPT Prompt Engineering, and MATLAB Additional Resources for Forex Trading.