Research Article | Open Access
STOCKMARKET PRICE PREDICTION AND TREND ANALYSIS USING MACHINE LEARNING ALGORITHMS
Mrs. V. SWATHI, Y. PRATHAM KALYAN, FARHEEN, S. ARUN, P. NEHA GOUD
Machine learning has significant applications in the stock price prediction. Our project
revolves around stock market price prediction and trend analysis, employing cutting-edge machine
learning techniques and harnessing the extensive data from Yahoo Finance. By combining historical
stock data, day trading strategies, moving average analysis, and support and resistance techniques, our
model aims to provide accurate and actionable insights for investors. Through rigorous training and
testing of the machine learning algorithms, our project endeavors to forecast future price movements
with improved precision. Investors can leverage these predictions to make informed decisions,
enhancing their day trading strategies and optimizing their investment choices. The inclusion of
moving average analysis and support and resistance techniques adds further depth to our model’s
predictive capabilities. By identifying key price levels and potential turning points, our project aids
investors in understanding market trends and potential areas of support and resistance. Our objective
is to empower investors with a comprehensive toolset for informed decision-making in the volatile
stock market. By utilizing advanced machine learning and integrating various technical analysis
methods, our project aspires to enhance investors’ understanding of market dynamics, bolster day
trading strategies, and ultimately improve overall investment performance. With a focus on accuracy
and reliability, this project represents a valuable resource for traders seeking to navigate the
complexities of the stock market with confidence.
Machine learning has significant applications in the stock price prediction.
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