• Stock Analysis using LLM and Y...

Treffer: Stock Analysis using LLM and Yahoo Finance API

Title:
Stock Analysis using LLM and Yahoo Finance API
Authors:
Vaishnavi Gundeti, Gundeti vaishnavi, Ali, Syed Mustafa Ayaan
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Subject Terms:
Stock Forecasting, Large Language Models, Yahoo Finance API, Technical Indicators, Streamlit, Sentiment Analysis, SMA, RSI, MACD
Document Type:
Fachzeitschrift text
Language:
English
Relation:
https://zenodo.org/records/16022761; oai:zenodo.org:16022761; https://doi.org/10.5281/zenodo.16022761
DOI:
10.5281/zenodo.16022761
Availability:
https://doi.org/10.5281/zenodo.16022761
https://zenodo.org/records/16022761
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; © 2025 Vaishnavi Gundeti and Syed Mustafa Ayaan Ali
Accession Number:
edsbas.C2D7A010
Database:
BASE

Weitere Informationen

This project introduces a hybrid method for stock analysis by integrating Large Language Models (LLMs) with real-time financial data from the Yahoo Finance API. Traditional models focus mainly on historical prices, but this approach combines technical indicators like SMA, RSI, and MACD with AI-generated insights to enhance forecasting. Built using Python and Streamlit, the system offers an interactive platform where users can visualize stock trends and receive intelligent summaries powered by LLMs. The results show that this combination improves the clarity and effectiveness of stock predictions, making it useful for both beginners and intermediate investors. The project demonstrates the potential of AI in financial analytics and opens the path for smarter investment tools.