Volume XIX, Issue I to XII (Jan -Dec. 2025)
Stock market prediction using machine learning
Ayush Nichal 1, Ishan Nalawade 2, Bhavesh Naranje 3, Chaitanya Kapulkar 4
2Department of Computer Engineering Zeal College of Engineering and Research Pune, India
Keywords - Stock Market Software, Artificial Neural Network, Dash Python, yfinance, Forecasting.
ABSTRACT
Forecasting stock prices is a challenge in the stock market because there are no clearly defined prediction rules but some of the superior return rates exist on public markets. As stock prices are borne out of the students' room they tend to be volatile. While they are volatile, one can chart stock prices and other statistical means, which will help today's indicated investors choose wisely the company they want to spend their money on. In this study, we will look at consumer spending and which company you are most interested in spending on. It is also very important to mention that with this simple project idea using the dash library, we can more easily and dynamically plot financial data of the company you are interested in spending your money by learning about the provided tabular data from December Yu finance python library. In addition, using machine learning algorithms, we can look ahead and predict future stock prices. This is great for anyone who is on the beginning or intermediate journey in starting python or data science or an analytical exercise for anybody that is already in this field. With students in mind, it would be for the intermediate level thinkers who have tried both Python/ML before..