Gone are the days when algorithmic trading was the exclusive playground of Wall Street hedge funds with multi-million dollar supercomputers. Today, everyday retail traders with a laptop, a Wi-Fi connection, and a foundational understanding of Python are building sophisticated automated trading systems. Thanks to open-source data science libraries, cloud computing, and AI, retail traders can now code, test, and deploy algorithmic trading strategies that rival institutional desks. But how exactly are they doing it, and what does it take to get started? Let’s dive in. Why Python Became the King of Retail Algo Trading When you think of high-performance coding languages, C++ or Java usually come to mind. So why has Python become the undisputed favorite for retail algorithmic traders? Massive Ecosystem for Data Science: Libraries like Pandas and NumPy make cleaning, manipulating, and analyzing massive price datasets effortless. Robust Backtesting Frameworks: Tools like Back...