Paper Title
Virtual Trade-X
Article Identifiers
Authors
Om Aute , Gaurav Patil , Rushikesh Sathe , Rohan Takmoge , Miss.Poonam Rakibe
Keywords
Virtual TradeX, Paper Trading Platform, Machine Learning Algorithms, MERN stack, MongoDB, Express.js, Node.js, LSTM, market enthusiasts.
Abstract
Virtual TradeX emerges as a groundbreaking paper trading web application, strategically developed to tackle the distinctive challenges encountered by aspiring traders in the dynamic realm of the Indian stock market. The project's foremost objective is to establish an avant-garde platform that not only addresses the hurdles faced by enthusiasts but also pioneers a risk-free learning and practice environment for those eager to explore the intricacies of stock market trading. Fueled by the technological prowess of the MERN stack comprising MongoDB, Express.js, React, and Node.js. Virtual TradeX seamlessly integrates cutting-edge features. This includes the utilization of Rapid APIs for real-time market data retrieval, the implementation of diverse order types to simulate authentic trading scenarios, and the provision of user-friendly interfaces. Moreover, the platform distinguishes itself with the integration of machine learning algorithms, specifically Linear Regression and LSTM, for precise stock price predictions. This comprehensive document delineates the intricate software requirements essential for the holistic development of the Virtual TradeX platform. It underscores the pivotal role of Virtual TradeX in addressing the void in the market, serving as a pivotal solution for individuals seeking a practical and risk-free learning platform tailored to the nuances of the Indian stock market.
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How To Cite
"Virtual Trade-X", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g9-g19, April-2024, Available :https://ijnrd.org/papers/IJNRD2404602.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g9-g19
Other Publication Details
Paper Reg. ID: IJNRD_209124
Published Paper Id: IJNRD2404602
Downloads: 000121173
Research Area: Information TechnologyÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404602.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404602
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
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