Stock Market Analysis Using Machine Learning

Registration ID: IJNRD_219813

Published ID: IJNRD2404868

DOI: Click Here to Get

Helly Patel , Dr.Vikas Tulshyan , Mr.Naimish Patel

Machine learning , ARIMA model , LSTM method, Stock Market Analysis, Market Forecasting

Analysis of the stock market is crucial for investors and financial institutions to make informed decisions. As historical stock market data and advances in machine learning algorithms increase, the interest in using machine learning in stock analysis is growing. This study provides an in-depth analysis of stock market analysis using machine learning, focusing on the application of various machine learning techniques and methods. Research begins with data collection, where historical stock market data is collected from sources such as financial databases, APIs, and online surveys. The data are pre-processed to handle missing values and outliers and to generate relevant features for analysis. Feature selection and dimensionality reduction techniques are used to reduce the complexity of the dataset. Next, various machine learning algorithms are applied to the preprocessed data, including linear regression, decision trees, random forests, support vector machines, and neural networks. These algorithms are trained and evaluated using metrics such as mean squared error (MSE), accuracy and F1 scores to assess their effectiveness in predicting stock prices and trends. The study also explores the use of advanced machine learning techniques, such as deep learning, including long-term memory (LSTM) networks to analyze stock markets.

Published Paper   E-Certificate

Helly Patel, Dr.Vikas Tulshyan, & Mr.Naimish Patel (April-2024). Stock Market Analysis Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i610-i618. https://ijnrd.org/papers/IJNRD2404868.pdf

Volume 9 Issue 4, April-2024

Pages : i610-i618

Paper Reg. ID: IJNRD_219813

Published Paper Id: IJNRD2404868

Downloads: 000121983

Research Area: Computer Engineering 

Country: Ahmedabad, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404868.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404868

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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