ANALYSIS OF STOCK MARKET DATA FOR GUIDANCE OF STOCK INVESTORS
[1] Dr. Shankaragowda B. B [2] Kavyashree M
[1] HOD & Assistant professor, Department of MCA, BIET, Davanagere.
[2] Student, Department of Master of computer Application, BIET, Davanagere.
Abstract: Analysis of stock market data is essential for enabling stock investors to make wise choices and create winning investment plans. The significance and advantages of applying data analysis techniques for stock market investors are discussed in this abstract.The abstract opens by emphasizing the stock market's rising complexity and volatility, which calls for the use of sophisticated analytical techniques. In order for investors to recognize trends, evaluate risk, and take advantage of opportunities, it highlights the significance of accurate and timely information.The abstract then goes on to describe different data analysis techniques used in stock market analysis. These techniques include sentiment analysis, machine learning, time series forecasting, statistical analysis, and data visualization. It highlights their importance in discovering correlations, deriving meaningful patterns, and forecasting future market moves.The abstract also highlights the importance of historical data research for investors. Data from the historical stock market can be used to gain understanding of current trends, market behavior, and the performance of certain stocks or industries. Investors may make wise judgments, create investing strategies, and efficiently manage risk with the help of these insights.The abstract also emphasizes how crucial alternate data sources are becoming to stock market analysis. Technology has given investors access to a wide range of non-traditional data, including sentiment on social media, news stories, and satellite imagery. Integrating these non-traditional data sources with conventional financial data might give investors new perspectives and a competitive edge.The abstract also recognizes how technology helps stock investors analyze data more easily. Big data processing, artificial intelligence algorithms, and advanced computational approaches are transforming how investors read and analyze enormous volumes of data. Investors can rapidly and effectively get useful insights thanks to these technologies.Finally, the abstract stresses the revolutionary potential of stock market data analysis in its conclusion. Investors can reduce risks, find untapped possibilities, and improve their investing strategies by utilizing data-driven methodologies. Utilizing the power of data analysis is essential for stock investors to manage the complexity and meet their investing goals in a constantly changing and dynamic market.
Key words: stock market, data analysis, traders, traders' strategies, alternative data sources, computational methods, artificial intelligence, risk management.
