IJRSAT
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I S S N 2319-2690
IJRSAT
International Journal for Research In Science & Advanced Technologies
" Enriching The Research "
International, Peer Reviewed, Open Access Journal
ISSN Approved Journal No. 2319-2690
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DOI Prefix: 10.65726

Publication Details

UNIVERSAL STOCK MARKET AND CRYPTOCURRENCY PRICE PREDICTOR USING XG BOOST
K.JEEVAN RATNAKAR , P.KRISHNA SUMANTH REDDY, P.PRASANTH, P.HARSHA VARDAN DEV, T.MOHAN KRISHNA
Year: 2026  |  Volume: 26  |  Issue: 4

Abstract

The Universal Stock & Crypto Price Predictor is a machine learning-based system designed to forecast future prices of stocks and cryptocurrencies using historical market data. The system collects financial data through the Yahoo Finance API and processes it using technical indicators such as moving averages, RSI, and MACD. An XGBoost regression model is used to analyze patterns and predict the next-day closing price with high accuracy. The results are displayed through a graphical dashboard that shows predicted values, model accuracy, and market trend visualizations.