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Hybrid Machine Learning and Blockchain Approaches for Secure and Transparent Stock Prediction in India

Year: 2026

Type: article

Abstract: Indian stock market, predictive analytics, blockchain technology, machine learning, LSTM, XGBoost, Random Forest, stock price forecasting, data integrity, data security, transparency, smart contracts, IPFS, decentralized storage, cryptographic hashing, hybrid model, financial technology, FinTech, regulatory compliance, data transparency, auditability, forecasting accuracy

Source: Journal of Emerging Trends in Blockchain Technology (JETBT)

DOI: 10.56975/jetbt.v3.i3.000016

Authors: Dr. Kaushal Jani, Dr. Nisarg Patel

Institutions: Indus University, Indus University

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W7127048658

FWCI:

Cites: 1

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Related to: 10