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The aim is to predict stock market prices using DeepTrade, enhancing accessibility for users through AI technology.

April 17, 2026Open Access

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

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The aim is to predict stock market prices using DeepTrade, enhancing accessibility for users through AI technology.
Developed a web application using Django, HTML, CSS, and JavaScript.
Integrated real-time stock data from Yahoo Finance.
Combined Linear Regression, ARIMA, and LSTM models for forecasting.
Achieved prediction accuracy of 78–85% (R²).
Recorded ~4.3 INR error (RMSE) for predictions.
Provided educational content alongside functional stock predictions.

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This research demonstrates a dual-model approach to predict stock market prices using AI, indicating significant accuracy for investors.

shelke et al. (2026) studied this question.

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