Introduction Stock price prediction is a challenging task that has garnered significant attention in recent years. The ability to accurately predict stock prices can help investors make informed decisions and potentially lead to substantial financial gains. In this article, we will explore the implementation of a custom AI agent for real-time stock price prediction using Python and TensorFlow. The AI agent will utilize a combination of technical indicators and machine learning algorithms to predict future stock prices. We will delve into the details of the implementation, including data preparation, model selection, and hyperparameter tuning. By the end of this article, you will have a solid understanding of how to build a custom AI agent for real-time stock price prediction using Python and TensorFlow. Data Preparation The first step in building our AI agent is to prepare the data. We will use historical stock price data, which can be obtained from various sources such as Yahoo Finance or Quandl.…