Financial Analysis App using GPT Chat API + SERP API + Yahoo Finance API (with full Code)

Build a Financial Analysis Software App using the GPT Chat API, SERP APIs, Yahoo Finance APIs and external data sources | Financial Analysis Software for  Data Analytics Projects | Financial Analysis Software for Beginners | Financial Analysis Software for Students 

The goal of this project is to develop a Financial Analysis software application for data analytics projects for beginners capable of providing Investment Thesis and recommendation on any given Company. This is achieved by leveraging the OpenAI GPT Chat API along with external data sources and Prompt Chain method creating a RAG App – Retrieval Augmented Generation. RAG Apps are the latest generation of enterprise grade automation frameworks that combine the power of GPT API LLM capabilities applied on supplementary data sources.

Key Components of the Financial Analysis Software App | Data Analytics Projects For Students

• OpenAI GPT Tubo 3.5 Chat CompletionAPI: A Large Language Model API rendering Chat (Progressive Query-Answer) capabilities.
• SERPAPI: The SERPAPI extracts information from the Search Engine Result Pages (SERP) on a given query (in our case, the Company) and returns the result as a JSON.
• Yahoo Finance API: The Yahoo Finance APIs extract Stock Price and Financial Performance information about a given company.

Project Workflow 

The Project is executed in the following steps:

• Step 1: Using the SERPAPI, extract publicly available news items about the Company.
• Step 2: Using the Yahoo Finance APIs, extract Stock Price data and Financial Performance Data.
• Step 3: The above data are written onto a text file to be used in our RAG Application.
• Step 4: A detailed Prompt is used to extract Investment thesis and recommendation from all the information in the file.