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Research Article

Stock Sight

  • Paper ID 158
  • Volume 5, Issue 3
  • Pages 105-107
  • Published Online: May-June 2024
  • 1 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Thenmozhi S R1
  • Sakthivel N2

12 Department of MCA, Adhiyamaan College of Engineering (Autonomous), Hosur, Tamilnadu, India.

Article Information

Published Online
May-June 2024
Pages
105-107
Article Type
Research Article
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Abstract

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Abstract: Stock Sight aspires to serve as a beacon of knowledge and insight, equipping stakeholders with a powerful forecasting tool capable of deciphering emerging market trends, predicting future stock prices, and optimizing investment strategies. By harnessing the latent potential of time series analysis, the project seeks to empower investors and financial professionals with the foresight and understanding necessary to navigate the dynamic and ever-evolving landscape of the stock market effectively. Through meticulous attention to detail and a commitment to excellence, "Stock Sight" emerges as an indispensable resource in the pursuit of financial success and prosperity. As "Stock Sight" progresses, it embarks on the development and evaluation of an array of sophisticated time series forecasting models, each meticulously tailored to discern and predict future stock prices with precision. Drawing upon methodologies such as Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Long Short-Term Memory (LSTM) networks, the project meticulously trains and optimizes these models using historical data. Through the rigorous application of robust evaluation metrics and comprehensive validation techniques such as cross-validation, "Stock Sight" meticulously assesses the effectiveness of each model, ensuring only the most reliable and accurate predictions are presented. Ultimately, "Stock Sight" aspires to serve as a beacon of knowledge and insight, equipping stakeholders with a powerful forecasting tool capable of deciphering emerging market trends, predicting future stock prices, and optimizing investment strategies. By harnessing the latent potential of time series analysis, the project seeks to empower investors and financial professionals with the foresight and understanding necessary to navigate the dynamic and ever-evolving landscape of the stock market effectively. Through meticulous attention to detail and a commitment to excellence, "Stock Sight" emerges as an indispensable resource in the pursuit of financial success and prosperity.

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