For the independent retail trader or quantitative developer, Python has emerged as the undisputed king of this domain. But moving from a basic "moving average crossover" script to a robust, machine-learning-driven trading system requires a complete journey from A to Z.
: Practical coding with libraries like NumPy and Pandas for time-series data analysis. Algorithmic Trading A-Z with Python- Machine Le...
Use lagged returns, RSI, MACD, volume, volatility. For the independent retail trader or quantitative developer,