Open Access Open Access  Restricted Access Subscription Access

Stock Price Tracker

Maragani Manoj Kumar, T. Venu, Y. Bharath, Dr.K. Rajitha, K. Shirisha, K. Vedhavathi, Dr. K. Sreekala, Dr.A. Nagesh

Abstract


The Stock Market Tracker Project is web-based money tracking software that is designed to furnish investors, traders, and analysts with minute-by-minute stock price and movement data. In a world where market trends change with the wind, the platform closes the gap between the availability of data and making smart decisions. With live stock exchange streams, the software provides second-by-second movement in stock prices, market indexes, and industry trends.

Apart from real-time monitoring, the system also provides analytical tools for the analysis of historical data to enable users to identify patterns, examine performance, and forecast future movements. The system also shows potential investment opportunities through abnormal stock action and extreme price movement detection. Personalized alerts and integrated financial news also increase user engagement, offering timely and informed investment choices.

In total, the Stock Market Tracker is an exhaustive platform which not only keeps users informed about the prevailing market situation but also provides users with practical suggestions to allow users to optimize their investment plan.


Full Text:

PDF

References


Downs, D. H., Zheng, C., & Zhu, B. (2025). Property market liquidity and secured or unsecured debt. Journal of Real Estate Finance and Economics, 66(1), 1–25. https://doi.org/10.1007/s11146-024-10005-4

Taher, A., & Rizkalla, A. (2024). How brand CSR responses to the pandemic impact brand value, growth, and rank. Humanities and Social Sciences Communications, 11(1), 1–12. https://doi.org/10.1057/s41599-024-03711-0

Busza, J., et al. (2024). Improving measures of context in process evaluations: Development and use of the Context Tracker tool. Trials, 25(1), 1–12. https://doi.org/10.1186/s13063-024-08623-7

Jayashree, J. (2024). Stock Flash: Real-time stock information with an extension. International Journal of Research in Engineering and Science, 12(11), 25–30. https://www.ijres.org/papers/Volume-12/Issue-11/12112530.pdf

Roy, S., & Gupta, A. (2024). Real-time stock price prediction and investment suggestion system using machine learning. International Journal for Multidisciplinary Research, 6(1), 1–7. https://www.ijfmr.com/papers/2024/1/13496.pdf

Mestre, R. (2023). Stock profiling using time–frequency-varying systematic risk measure. Financial Innovation, 9(1), 1–29. https://doi.org/10.1186/s40854-023-00457-7

Dholu, R., Lohar, P., Mistri, P., & Bachhav, S. (2023). Real-time stock market prediction using ML and DL. International Journal of Scientific Development and Research, 8(5), 268–272. https://www.ijsdr.org/viewpaperforall.php?paper=IJSDR2305268

Kamath, S., & Kulal, S. (2022). Real-time stock market prediction using deep learning. International Journal of Scientific Development and Research, 7(12), 190–195. https://ijcrt.org/papers


Refbacks

  • There are currently no refbacks.