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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
Unlocking the Future of Stock Markets: Advanced Genetic Algorithm-Based Horizontal Partition Decision Tree for Close Value Prediction
Authors
Dharamveer Sisodiya, Nikhil Kumthekar, Anil Walke
Keywords
Stock Market Prediction, Genetic Algorithm, Close Value Forecasting, Financial Markets
Abstract
In the ever-evolving landscape of financial markets, accurate prediction of stock prices remains an elusive challenge. This research presents a pioneering approach, "Unlocking the Future of Stock Markets," which leverages an advanced Genetic Algorithm-Based Horizontal Partition Decision Tree (GA-HPDT) for the precise prediction of close values. The proposed methodology combines the power of genetic algorithms for feature selection and decision tree modeling to enhance forecasting accuracy. Extensive experiments on historical stock market data demonstrate the effectiveness of our approach, showcasing substantial improvements in prediction accuracy compared to traditional methods. By uncovering hidden patterns and trends in stock market data, our model offers invaluable insights for investors, traders, and financial analysts, ultimately contributing to more informed decision-making in the complex world of stock trading.
IJCRT's Publication Details
Unique Identification Number - IJCRTY020002
Paper ID - 244425
Page Number(s) - 8-13
Pubished in - Volume 10 | Issue 5 | May 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dharamveer Sisodiya, Nikhil Kumthekar, Anil Walke, "Unlocking the Future of Stock Markets: Advanced Genetic Algorithm-Based Horizontal Partition Decision Tree for Close Value Prediction", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.8-13, May 2022, Available at :http://www.ijcrt.org/papers/IJCRTY020002.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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