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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Stock Market Prediction Using Machine Learning |
| Authors Name: | Tanushk Sharma , Jayshree Surolia , Vijaylaxmi Gupta , Vishal Sharma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218336
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| Published Paper Id: | IJNRD2404331 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Trying to predict the stock market can feel like attempting to forecast the weather during a storm. It's a wild ride of highs and lows that makes it tough to anticipate what's next. Everyone wants to get it right, but it's like juggling too many balls at once. Fortunately, technology is stepping in to lend a hand. Picture using advanced computer techniques like Artificial Neural Networks and Random Forests to take a shot at guessing tomorrow's stock prices. They analyze data such as opening prices, peaks, troughs, and closing values to make their predictions. Then, they use fancy terms like RMSE and MAPE to assess their accuracy. The lower those numbers, the better the guess. Why does this matter? Well, imagine having a glimpse into the future and knowing which stocks will rise or fall. It's like having a crystal ball in the world of stock markets. And since everyone loves making money, investors are eager to find better ways to do just that. It's been quite a journey. In the past, clever minds tried to solve this puzzle, and now, with super-smart computers and math, they're getting closer to cracking the code. |
| Keywords: | Artificial Intelligence, Stock Market Prediction, Machine Learning. |
| Cite Article: | "Stock Market Prediction Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d258-d266, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404331.pdf |
| Downloads: | 00036 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404331 Registration ID: 218336 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d258-d266 Country: Jaipur, Rajasthan, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404331 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404331 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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