International Journal of Research and Innovation in Applied Science (IJRIAS)
Stockest: Gamified Stock Market Simulator Using AI
Published April 13, 2026 • Vol. 11, Issue 3, pp. 1021–1026Open Access
DOI: 10.51584/IJRIAS.2026.11030079
Abstract
Stock EST helps people learn about investing through simulated trading using artificial intelligence. Real-time stock information flows into the platform, making each session feel alive and current. Instead of guessing, users see patterns clearly thanks to dynamic charts that respond instantly. Learning happens naturally when guidance appears just before confusion sets in. Built with modern web frameworks, it runs smoothly even during intense market shifts. Risk-free practice allows beginners to explore choices freely, building confidence slowly. Behind the scenes, smart algorithms adjust support based on how someone interacts. Clarity comes not from overload but from well-timed insights delivered quietly. Experience grows not by lecture but by doing - again and again. Accuracy stays high because live data feeds never lag behind reality. Users try trading with fake money on this tool, see how their investments do over time while charts show what is happening in markets. A smart chat helper explains money topics, points out trends someone might miss. Tests ran on it showed smooth navigation, quick number crunching, conversations feel natural
Keywords: Stock Market Simulation, Artificial Intelligence, Financial Literacy, Virtual Trading, Data Visualization, Machine Learning, Portfolio Management, AI Chatbot.
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 3 |
| Pages | 1021–1026 |
| Publication date | April 13, 2026 |
| DOI | 10.51584/IJRIAS.2026.11030079 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Ashwini Mulik, Rahul Jadhav, Ayyan Gharade, Yogiraj Shinde, & Nikhil Pawar (2026). Stockest: Gamified Stock Market Simulator Using AI. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(3), 1021-1026. https://doi.org/10.51584/IJRIAS.2026.11030079
BibTeX
@article{Ashwini2026,
title = {Stockest: Gamified Stock Market Simulator Using AI},
author = {Ashwini Mulik and Rahul Jadhav and Ayyan Gharade and Yogiraj Shinde and Nikhil Pawar},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {3},
pages = {1021--1026},
year = {2026},
doi = {10.51584/IJRIAS.2026.11030079},
publisher = {RSIS International}
}