Stock Market Prediction Using Machine Learning

Registration ID: IJNRD_218336

Published ID: IJNRD2404331

DOI: Click Here to Get

Tanushk Sharma , Jayshree Surolia , Vijaylaxmi Gupta , Vishal Sharma

Artificial Intelligence, Stock Market Prediction, Machine Learning.

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.

Published Paper   E-Certificate

Tanushk Sharma, Jayshree Surolia, Vijaylaxmi Gupta, & Vishal Sharma (April-2024). Stock Market Prediction Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d258-d266. https://ijnrd.org/papers/IJNRD2404331.pdf

Volume 9 Issue 4, April-2024

Pages : d258-d266

Paper Reg. ID: IJNRD_218336

Published Paper Id: IJNRD2404331

Downloads: 000121990

Research Area: Engineering

Country: Jaipur, Rajasthan, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404331.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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