ChatGPT can also do investment analysis? Teach you step by step how to use LangChain to build a stock research frameworkInvestment analysts are increasingly applying artificial intelligence to process financial data, identify trends, and gain deep insights. Among them, **LangChain** is an open source framework with great potential that can combine language models like GPT with investment analysis. This article will explore how to use LangChain to simplify the initial investment research process, including **integrating financial data sources**, **building advanced customized models**, and making more informed **investment decisions** based on predictive insights.

ChatGPT can also do investment analysis? Teach you step by step how to use LangChain to build a stock research frameworkInvestment analysts are increasingly applying artificial intelligence to process financial data, identify trends, and gain deep insights. Among them, LangChain is an open source framework with great potential that can combine language models like GPT with investment analysis. This article will explore how to use LangChain to simplify the initial investment research process, including integrating financial data sources, building advanced customized models, and making more informed investment decisions based on predictive insights. 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…