Stock Market Protection and Prediction Using Blockchain and Machine Learning

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.