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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | Virtual Trade-X |
| Authors Name: | Om Aute , Gaurav Patil , Rushikesh Sathe , Rohan Takmoge , Miss.Poonam Rakibe |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_209124
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| Published Paper Id: | IJNRD2404602 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| 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. |
| Keywords: | Virtual TradeX, Paper Trading Platform, Machine Learning Algorithms, MERN stack, MongoDB, Express.js, Node.js, LSTM, market enthusiasts. |
| Cite Article: | "Virtual Trade-X", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g9-g19, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404602.pdf |
| Downloads: | 00017 |
| 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 |
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Published Paper ID:IJNRD2404602 Registration ID: 209124 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g9-g19 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404602 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404602 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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