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DeepTrade: Deep Learning-Powered Stock Market Prediction with Real-Time Data Integration and Dual-Model Forecasting

Year: 2026

Type: article

Abstract: The research paper presents DeepTrade, an AI-based web application for stock market prediction using real-time data from Yahoo Finance. It combines Linear Regression, ARIMA, and LSTM models to forecast stock prices and display results through interactive charts. The system is built using Django (backend) and HTML/CSS/JavaScript (frontend) and works as a Progressive Web App. It provides dual-model predictions, stock information, and educational content for users. The model achieves around 78–85% accuracy (R²) and ~4.3 INR error (RMSE), making it useful for short-term predictions. Overall, DeepTrade makes AI-powered financial analysis accessible to beginners and investors.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19588833

Authors: shelke, himani, kini, spurti, mahajan, vrushabh, girase, sarvesh

Institution: Sandip University Sijoul Madhubani Bihar

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7154459642

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