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Luminex: A Secure Full-Stack Paper Trading Platform for Financial Education
Subject area: Science,Engineering and Technology · Area of research: Financial Trading Platform Development
DOI: https://doi.org/10.64388/IREV9I12-1719189
Abstract
Financial literacy among students and beginner investors remains critically low, and the tools available to address this gap are either too theoretical or too insecure to serve as practical reference implementations. Luminex was developed to bridge this gap. It is a full-stack, browser-based virtual stock trading platform built with Next.js 15, TypeScript, Node.js, Express.js, and MongoDB that simulates realistic Indian equity and derivatives market conditions for educational purposes. The platform provides a structured, end-to-end trading workflow combining OTP-based email authentication, JWT session management, real-time simulated price updates on a 3-second refresh cycle, virtual buy and sell operations for equities and Futures & Options (F&O), watchlist management, candlestick charting across five timeframes, and dynamic portfolio analytics with sector-wise allocation - all protected by a multi-layer security architecture implementing bcrypt password hashing, rate limiting, and account lockout protection. The system follows a three-tier client-server architecture with eight well-defined MongoDB collections and a modular Express.js backend. Experimental evaluation across comprehensive unit, integration, system, and security test suites demonstrates full correctness of all modules with API response times under 150 ms and OTP delivery under five seconds. Beyond its practical capabilities as a trading simulator, Luminex serves as a production-grade full-stack reference implementation that demonstrates modern secure web application design principles directly applicable to industry software development roles.
Keywords
Paper Trading, Virtual Stock Market Simulation, Next.js, Node.js, Express.js, MongoDB, JWT Authentication, OTP Verification, Portfolio Management, Futures and Options, Fintech Education, Secure Web Application, bcrypt, Real-Time Simulation, Full-Stack Development
How to cite this paper
@article{1719189,
author = {Aditya Shashikant Ingole, Mitesh Kashinath Wakade, Buddhita Dagadu Bhagat, Aditya Bhagirath Jagtap, Dr. Shubhangi R. Patil},
title = {Luminex: A Secure Full-Stack Paper Trading Platform for Financial Education},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {12},
pages = {2980-2985},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1719189.pdf},
abstract = {Financial literacy among students and beginner investors remains critically low, and the tools available to address this gap are either too theoretical or too insecure to serve as practical reference implementations. Luminex was developed to bridge this gap. It is a full-stack, browser-based virtual stock trading platform built with Next.js 15, TypeScript, Node.js, Express.js, and MongoDB that simulates realistic Indian equity and derivatives market conditions for educational purposes. The platform provides a structured, end-to-end trading workflow combining OTP-based email authentication, JWT session management, real-time simulated price updates on a 3-second refresh cycle, virtual buy and sell operations for equities and Futures & Options (F&O), watchlist management, candlestick charting across five timeframes, and dynamic portfolio analytics with sector-wise allocation - all protected by a multi-layer security architecture implementing bcrypt password hashing, rate limiting, and account lockout protection. The system follows a three-tier client-server architecture with eight well-defined MongoDB collections and a modular Express.js backend. Experimental evaluation across comprehensive unit, integration, system, and security test suites demonstrates full correctness of all modules with API response times under 150 ms and OTP delivery under five seconds. Beyond its practical capabilities as a trading simulator, Luminex serves as a production-grade full-stack reference implementation that demonstrates modern secure web application design principles directly applicable to industry software development roles.},
keywords = {Paper Trading, Virtual Stock Market Simulation, Next.js, Node.js, Express.js, MongoDB, JWT Authentication, OTP Verification, Portfolio Management, Futures and Options, Fintech Education, Secure Web Application, bcrypt, Real-Time Simulation, Full-Stack Development},
month = {June},
doi = {https://doi.org/10.64388/IREV9I12-1719189}
}