For regression (predicting exact return):
Python dominates the field due to its readable syntax and a massive ecosystem of libraries designed for data science and financial analysis. Algorithmic Trading A-Z with Python- Machine Le...
This is where strategy moves from logic to Machine Learning. numerical computing (NumPy)
Building an algorithmic trading system with Python and Machine Learning (ML) transforms trading from a manual guessing game into a structured, data-driven process. Python is the primary choice for this field due to its powerful libraries for data analysis (Pandas), numerical computing (NumPy), and ML (Scikit-learn, TensorFlow). 1. Essential Python Library Stack and ML (Scikit-learn