Introduction The stock market is a complex and dynamic system, with numerous factors influencing the prices of stocks. Building a custom AI agent for stock market trend analysis can be a valuable tool for investors and financial analysts. In this article, we will explore how to build a custom AI agent using Python and TensorFlow, and provide practical code examples to get you started. The AI agent will be designed to analyze historical stock market data and predict future trends. We will use a combination of technical indicators and machine learning algorithms to build the agent. The agent will be trained on a dataset of historical stock prices and will learn to identify patterns and trends in the data.…