ISSN:2582-5208

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Paper Key : IRJ************866
Author: Lithikka Dharmaraj,G.gayathri,V.harshini,Dr.n.muthuvairavan Pillai
Date Published: 07 Nov 2024
Abstract
This project presents a comprehensive analysis and predictive modelling of major technology stocks. By leveraging historical data from the past year obtained via the finance library, the study emphasises the visualisation of trends in stock performance, daily price fluctuations, and the computation of key financial metrics such as average daily returns and moving averages. These visualisations provide valuable insights into stock behaviour and market dynamics within the technology sector.A significant aspect of this project is the examination of interdependencies among these major companies through correlation analysis. This analysis uncovers insights into how movements in one stock may influence others, offering a nuanced understanding of market relationships. Additionally, the project incorporates risk assessment through volatility metrics and daily return pattern analysis, which highlight potential exposure levels. This evaluation assists investors in comprehending the risk-return profile of each stock, ultimately facilitating informed investment decisions in the technology sector.
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