ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
Real-Time Stock Price Prediction and Portfolio Optimization
Authors
Kanishka Mukesh Kalose , Ronit Ganvir , Rushikesh P. Raghatate , Ved Amol Tumpalliwar , Chittaranjan Sunil Kakade
Keywords
AI-Powered Stock Market Insight, Stock Market Prediction, Machine Learning, Android Application, Firebase Real-time Database, Candlestick Chart Analysis, NLP Chatbot, Real-Time Data Analytics, Financial Forecasting, Technical Indicators
Abstract
The AI-Powered Stock Market Insight Application is an intelligent Android-based solution developed to help users understand stock market behavior, technical indicators, and short-term price movements more effectively. Although digital trading platforms have made stock market access easier, many retail investors still struggle to analyze live market data, interpret candlestick charts, and make informed trading decisions due to volatility, data complexity, and limited expert support. To address this issue, the proposed system combines real-time stock data processing, machine learning-based short-term prediction, interactive chart visualization, and AI-assisted guidance within a single mobile application. The application is developed using Java/XML for the frontend and Firebase Realtime Database for secure real-time synchronization and storage.
It offers features such as live stock updates, trend analysis, candlestick chart interpretation, forecasting support, and an NLP-based chatbot that answers user queries and explains trading concepts in a simple and user-friendly manner. By integrating financial analytics with mobile accessibility, the system reduces the gap between complex market data and practical user understanding. The application aims to support both beginner and intermediate investors in making smarter, data-driven, and more confident investment decisions
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IJCRT — journal style
"Real-Time Stock Price Prediction and Portfolio Optimization", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.e649-e656, April 2026, Available :https://ijcrt.org/papers/IJCRT2604546.pdf
APA — 7th edition
Kalose, K. M., Ganvir, R., Raghatate, R. P., Tumpalliwar, V. A., & Kakade, C. S. (2026). Real-Time Stock Price Prediction and Portfolio Optimization. International Journal of Creative Research Thoughts, 14(4), e649-e656. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546
MLA — 9th edition
Kalose, Kanishka Mukesh, et al. "Real-Time Stock Price Prediction and Portfolio Optimization." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. e649-e656, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546.
Chicago — 17th, bibliography
Kalose, Kanishka Mukesh, et al. "Real-Time Stock Price Prediction and Portfolio Optimization." International Journal of Creative Research Thoughts 14, no. 4 (2026): e649-e656. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546.
Harvard — author–date
Kalose, K.M. et al. (2026) 'Real-Time Stock Price Prediction and Portfolio Optimization', International Journal of Creative Research Thoughts, 14(4), pp. e649-e656. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546
IEEE — numbered reference
K. M. Kalose, R. Ganvir, R. P. Raghatate, V. A. Tumpalliwar and C. S. Kakade, "Real-Time Stock Price Prediction and Portfolio Optimization," IJCRT, vol. 14, no. 4, pp. e649-e656, Apr. 2026.
Vancouver — biomedical
Kalose KM, Ganvir R, Raghatate RP, Tumpalliwar VA, Kakade CS. Real-Time Stock Price Prediction and Portfolio Optimization. IJCRT. 2026 Apr;14(4):e649-e656.
AMA — 11th edition
Kalose KM, Ganvir R, Raghatate RP, Tumpalliwar VA, Kakade CS. Real-Time Stock Price Prediction and Portfolio Optimization. IJCRT. 2026;14(4):e649-e656. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604546,
author = {Kanishka Mukesh Kalose and Ronit Ganvir and Rushikesh P. Raghatate and Ved Amol Tumpalliwar and Chittaranjan Sunil Kakade},
title = {Real-Time Stock Price Prediction and Portfolio Optimization},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {e649-e656},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kalose, Kanishka Mukesh
AU - Ganvir, Ronit
AU - Raghatate, Rushikesh P.
AU - Tumpalliwar, Ved Amol
AU - Kakade, Chittaranjan Sunil
TI - Real-Time Stock Price Prediction and Portfolio Optimization
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546
SP - e649-e656
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : e649-e656
Article Information
- Pages
- e649-e656
- Published
- April 2026
- Registration ID
- IJCRT_305748
- Published Paper ID
- IJCRT2604546
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Nagpur, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 124
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604546
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604546.pdf
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International Journal of Creative Research Thoughts
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