Forecasting the trajectory of the stock market remains an elusive endeavor for both investors and traders alike. A myriad of methods and algorithms have emerged over time, striving to address this complex issue, and have achieved varying levels of success. In this blog post, we will discuss the XGBoost algorithm and how it performs better than linear regression for predicting market direction. We will also provide a Python code example for predicting the next day's NIFTY close and direction using XGBoost.
The post Predicting Stock Price and Market Direction using XGBoost Machine Learning Algorithm appeared first on Marketcalls.