ChatGPT can also do investment analysis? How to use LangChain to build a stock research framework

ChatGPT can also do investment analysis? How to use LangChain to build a stock research framework In this article we will focus on: 1. Why choose LangChain? 2. What is LangChain? 3. Core components of LangChain 4. How to use LangChain and OpenAI to perform stock analysis in Python Why choose LangChain? Let’s first try to let ChatGPT analyze the price performance of the NIFTY50 index over the past 5 years: “When we asked ChatGPT about the performance of the NIFTY50 over the past 5 years, it did not have readily available data for analysis.” This is where LangChain comes into play. LangChain combines financial data sources with large language models (LLMs) to change the way investors analyze and interpret market data. By analyzing huge text data (such as news reports, financial reports, and social media opinions), LangChain can provide analysts with richer and more timely insights to assist in better investment decisions. What is LangChain? LangChain serves as an interface between large language models and external data sources, helping users build AI-driven applications. LangChain allows developers to connect to various databases, retrieve required information, process input and output structured results. "LLM (Large Language Model) is a deep learning model…