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Title: :  Stock Data Prediction and Visualization using Advanced Learning and Dash Framework
PaperId: :  27607
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27607
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr MouneshAlva’s Institute of Engineering and Technology
Soniya Sudarshan KatraleAlva’s Institute of Engineering and Technology
SowjanyaAlva’s Institute of Engineering and Technology
Srushti Manjunath UllagaddiAlva’s Institute of Engineering and Technology
SubramanyaAlva’s Institute of Engineering and Technology

Abstract

Information on Science and Engineering
Dash, Python, ARIMA, LSTM, predictive analytics, machine learning, stocks, forecasting, and visualization.
Finding a reliable method for forecasting stock market values and making wise investment choices is a problem facing the contemporary financial sector.Long-term investments are essential in the complex and dynamic stock market. It can be difficult to assess shares and determine fundamental business values, though. This study compares algorithms that use machine learning to forecast future stock market values and analyze market trends. The approach examines the top supervised algorithms for forecasting future stock market values and analyzes them with accuracy. Economic and other factors impact the market, thus forecasts and market analysis are essential for making well-informed decisions and optimizing investment returns. The study offers a novel approach to product visualization and prediction through the use of Dash, a Python web application framework.Obtaining historical stock data from dependable sources and preprocessing it to extract pertinent attributes are the steps in the methodology. After that, this data is combined into an intuitive dashboard for interactive trend analysis and stock price prediction. With the use of cutting-edge learning strategies like ARIMA and LSTM networks for precise forecasts, the dashboard provides interactive charts, analysis, and correlation matrices to help users comprehend the structure of stock data. In volatile markets, forecasting helps reduce risk and make well-informed decisions. By combining elements into an intuitive dashboard, it assists investors in overcoming the challenges of trading and reaching their financial goals. But more dependable and effective algorithms that are interfaced and accessible are required.

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IJARIIE Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. "Stock Data Prediction and Visualization using Advanced Learning and Dash Framework" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 1-5
MLA Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. "Stock Data Prediction and Visualization using Advanced Learning and Dash Framework." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 1-5.
APA Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, & Subramanya. (2025). Stock Data Prediction and Visualization using Advanced Learning and Dash Framework. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 1-5.
Chicago Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. "Stock Data Prediction and Visualization using Advanced Learning and Dash Framework." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 1-5.
Oxford Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. 'Stock Data Prediction and Visualization using Advanced Learning and Dash Framework', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 1-5. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Stock_Data_Prediction_and_Visualization_using_Advanced_Learning_and_Dash_Framework_ijariie27607.pdf (Accessed : ).
Harvard Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. (2025) 'Stock Data Prediction and Visualization using Advanced Learning and Dash Framework', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 1-5IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Stock_Data_Prediction_and_Visualization_using_Advanced_Learning_and_Dash_Framework_ijariie27607.pdf (Accessed : )
IEEE Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya, "Stock Data Prediction and Visualization using Advanced Learning and Dash Framework," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 1-5, Nov-Dec 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Stock_Data_Prediction_and_Visualization_using_Advanced_Learning_and_Dash_Framework_ijariie27607.pdf [Accessed : ].
Turabian Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. "Stock Data Prediction and Visualization using Advanced Learning and Dash Framework." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver Mr Mounesh, Soniya Sudarshan Katrale, Sowjanya, Srushti Manjunath Ullagaddi, and Subramanya. Stock Data Prediction and Visualization using Advanced Learning and Dash Framework. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 1-5. Available from: https://ijariie.com/AdminUploadPdf/Stock_Data_Prediction_and_Visualization_using_Advanced_Learning_and_Dash_Framework_ijariie27607.pdf
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