This course provides a practical introduction to algorithmic trading using Python.
You will learn how to design, build, and implement trading strategies using Python libraries such as Pandas, NumPy, and Scikit-learn. The course covers data sourcing, backtesting, risk management, and execution of automated trading strategies.
You will also explore machine learning techniques and quantitative models used by professional traders to optimize trading performance.
By the end of this course, you will have the skills to develop, test, and deploy your own algorithmic trading strategies.