ISSN2320-2882
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Paper Title

MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS

Authors

Yogesh N , Shriraksha A S , Sheeba Mariyam , Syed Md Abbas , Varshith H D

Keywords

Stock market prediction, ensemble learning, Random Forest, Gradient Boosting, technical indicators, feature engineering, NIFTY 50, SENSEX, Flask REST API, financial forecasting, RSI, MACD, machine learning

Abstract

How To Cite

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IJCRT — journal style
"MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 5, page no.a495-a502, May 2026, Available :https://ijcrt.org/papers/IJCRT2605065.pdf
APA — 7th edition
N, Y., S, S. A., Mariyam, S., Abbas, S. M., & D, V. H. (2026). MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS. International Journal of Creative Research Thoughts, 14(5), a495-a502. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065
MLA — 9th edition
N, Yogesh, et al. "MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS." International Journal of Creative Research Thoughts, vol. 14, no. 5, 2026, pp. a495-a502, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065.
Chicago — 17th, bibliography
N, Yogesh, et al. "MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS." International Journal of Creative Research Thoughts 14, no. 5 (2026): a495-a502. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065.
Harvard — author–date
N, Y. et al. (2026) 'MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS', International Journal of Creative Research Thoughts, 14(5), pp. a495-a502. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065
IEEE — numbered reference
Y. N, S. A. S, S. Mariyam, S. M. Abbas and V. H. D, "MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS," IJCRT, vol. 14, no. 5, pp. a495-a502, May. 2026.
Vancouver — biomedical
N Y, S SA, Mariyam S, Abbas SM, D VH. MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS. IJCRT. 2026 May;14(5):a495-a502.
AMA — 11th edition
N Y, S SA, Mariyam S, Abbas SM, D VH. MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS. IJCRT. 2026;14(5):a495-a502. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2605065, author = {Yogesh N and Shriraksha A S and Sheeba Mariyam and Syed Md Abbas and Varshith H D}, title = {MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {5}, pages = {a495-a502}, year = {2026}, month = {May}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065} }
RIS — EndNote, RefWorks
TY - JOUR AU - N, Yogesh AU - S, Shriraksha A AU - Mariyam, Sheeba AU - Abbas, Syed Md AU - D, Varshith H TI - MARKETGENIUS: AN ENSEMBLE MACHINE LEARNING FRAMEWORK FOR REAL-TIME INDIAN STOCK MARKET PREDICTION AND ANALYSIS T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 5 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605065 SP - a495-a502 ER -

Issue

Volume 14 Issue 5, May-2026
Pages : a495-a502

Article Information

Pages
a495-a502
Published
May 2026
Registration ID
IJCRT_307665
Published Paper ID
IJCRT2605065
Research Area
Science and Technology
Author Type
Indian Author
Location
Davanagere, Karnataka, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
148

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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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