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Python-Powered Stock Market Analysis Leveraging Data Science Techniques for Informed Investment Decisions

Python-Powered Stock Market Analysis Leveraging Data Science Techniques for Informed Investment Decisions
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Author(s): Arta Zejnullahi (Rochester Institute of Technology, Kosovo)
Copyright: 2023
Pages: 16
Source title: The Software Principles of Design for Data Modeling
Source Author(s)/Editor(s): Debabrata Samanta (Rochester Institute of Technology, Kosovo)
DOI: 10.4018/978-1-6684-9809-5.ch009

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Abstract

We might become interested in stock market investment during the course of our lives. But to do that, we first need to have a clear understanding and analysis of the market. We may be unsure of whether to buy or sell stocks; thus, this is vital. It can be challenging to determine whether a stock will rise or decline in value or whether it will be a successful investment. In the event that the stock decreases, we can be unsure about whether to sell or stay on to it. Given the large number of investors who purchase stocks globally and the potential for significant losses, stock market analysis is crucial. The goal is to develop a project that analyzes the stock market and aids in our decision-making when it comes to purchasing and selling stocks.

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