How to Build Stock Profit Analysis API with LLM Natural Language Response

Suresh Kandru
8 min readJun 17, 2024

📢 This is a paid member only blog post. If you want to read it for free, visit my website here. Sign up to stay updated and access more exclusive content!

In this post, we will walk through the development of a private stock profit analysis API that integrates a large language model (LLM) to provide natural language responses.

This API allows users to select a stock, specify a purchase date, and enter the number of shares to get a detailed analysis of their investment, including the profit or loss.

Introduction

Most of the time we can see the profit in trading platforms with numbers, If you want to see the natural language response with profit numbers investors are more interested in natural language response instead of simple numbers. With advancements in AI and natural language processing, we can now build intelligent systems that provide detailed and intuitive responses to investments queries. for this, I’ve developed a private API that calculates stock profit and provides a natural language response using an LLM.

Before going to development details, see the API response here from below User interface.

--

--

Suresh Kandru
Suresh Kandru

Written by Suresh Kandru

Cloud Architect | Innovating with Machine Learning, LLMs and Generative AI - Sureshkandru.com

No responses yet