Meet the ‘LangChain Financial Agent’: An AI Fintech Project Built on Langchain and FastAPI

Understanding and evaluating investments is crucial for making informed decisions in finance. Many face the challenge of accessing financial data, calculating vital financial metrics, and staying updated with the latest news relevant to their investments. This difficulty often leads to missed opportunities or poorly informed decisions, posing a significant problem for seasoned and novice investors.

Several tools and services aim to address these challenges by providing access to financial data, news, and analytics. However, these solutions can be scattered across different platforms, require multiple subscriptions, or be too complex for the average user. While they offer a partial solution, the fragmentation and accessibility issues mean that users often need to navigate multiple interfaces or learn complex tools to get the comprehensive insights they need.

Meet the ‘LangChain Financial Agent‘ designed to simplify accessing financial information and performing complex calculations. Built on Langchain and FastAPI, this agent offers users a centralized platform to obtain current prices, historical data, the latest news, and detailed financial metrics for their investments. The agent uses a combination of APIs to fetch data and employs advanced algorithms to calculate essential financial metrics, making it easier for users to gather insights without navigating multiple tools or platforms.

This financial agent stands out due to its ability to compute critical financial metrics such as owner earnings, return on equity (ROE), and return on invested capital (ROIC). Additionally, it can perform a discounted cash flow valuation, providing users with a comprehensive understanding of an investment’s worth. The agent is equipped to retrieve and analyze data from reputable sources in real-time, ensuring that the information it provides is current and accurate. Its capabilities are demonstrated by its seamless integration with financial databases and its sophisticated analytical tools that simplify complex financial calculations.

In conclusion, this financial agent is for individuals looking to make well-informed investment decisions without the hassle of juggling multiple tools or navigating complex financial databases. It addresses investors’ critical challenges by offering a streamlined, user-friendly platform that consolidates financial data, news, and analytics. The agent saves time and provides valuable insights through its ability to calculate essential financial metrics and perform in-depth valuations. This solution makes financial analysis more accessible, enabling users to make more informed investment choices with confidence.

Check out the GitHub and Google Colab NotebookAll credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter. Join our Telegram Channel, Discord Channel, and LinkedIn Group.

If you like our work, you will love our newsletter..

Don’t Forget to join our 39k+ ML SubReddit

Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.

🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...