Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
This paper discusses the Algo Trading for Bank Nifty, a project aimed at developing an Algorithmic Trading, Reduce human Efforts, Increase the Speed,Reduce Maximum loss, and handle Buy and sell. This project features login functionality, with Authenticated User, each accessing their respective portals. The administrator can login to monitor the entire system. The system allows users to search for courses, add new courses, edit courses, and check payment status. After logging in, the administrator can generate reports such as sales reports. Users can login to access purchased courses and share feedback. Overall, this project is being developed to assist educators (administrators) and students (users) in creating an effective teaching and learning platform.
Keywords:
Keywords: Algorithmic Trading, Tkinter GUI, Trading Strategies, Market Data
Cite Article:
"Algo Trading for Bank Niftty", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 3, page no.212 - 216, March-2024, Available :http://www.ijrti.org/papers/IJRTI2403032.pdf
Downloads:
000205449
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator