Stock Market Protection and Prediction Using Blockchain and Machine Learning

This project aims to enhance stock price prediction and market protection by combining machine learning and blockchain technology. The accuracy and reliability of stock price predictions are improved by training machine learning algorithms on a large amount of historical data, using blockchain technology to monitor transparent sources of funds. Integrating machine learning enables the detection of hidden patterns and correlations that lead to stock price movements and helps in Real-time analysis and instant decision-making. In the meantime, there is a record of price data that can be maintained and audited by blockchain technology without any risk of manipulation. The project benefits investors by optimizing investment strategies and improving financial outcomes. The Blockchain will enhance trust and integrity in financial markets by providing reliable, accessible price data. Combining machine learning with blockchain offers promising possibilities for accurate and transparent stock market forecasts, improved decision-making processes, and empowerment of individuals within the financial ecosystem.

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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-05-22
DOI
https://doi.org/10.47392/irjaem.2025.0296
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Stock Market Protection and Prediction Using Blockchain and Machine Learning

Alon Abraham A, A R Mukunthan, Rohan Balakrishnan R, M. Pachhaiammal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Stock Market Forecasting Methods
article

Stock Market Protection and Prediction Using Blockchain and Machine Learning

Alon Abraham A, A R Mukunthan, Rohan Balakrishnan R, M. Pachhaiammal
article en

Abstract

This project aims to enhance stock price prediction and market protection by combining machine learning and blockchain technology. The accuracy and reliability of stock price predictions are improved by training machine learning algorithms on a large amount of historical data, using blockchain technology to monitor transparent sources of funds. Integrating machine learning enables the detection of hidden patterns and correlations that lead to stock price movements and helps in Real-time analysis and instant decision-making. In the meantime, there is a record of price data that can be maintained and audited by blockchain technology without any risk of manipulation. The project benefits investors by optimizing investment strategies and improving financial outcomes. The Blockchain will enhance trust and integrity in financial markets by providing reliable, accessible price data. Combining machine learning with blockchain offers promising possibilities for accurate and transparent stock market forecasts, improved decision-making processes, and empowerment of individuals within the financial ecosystem.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(05)
Sathyabama Institute of Science and Technology (IN)
Openalex Percentile: Top 87%
Stock Market Forecasting Methods
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