📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 4, APRIL 2023

STOCK TREND PREDICTION

Anam Pasha, Raksha Pillewar, Syed Mehvish, Shantanu Zingare, Prof. Abdul Razzaque

DOI: 10.17148/IJARCCE.2023.12477

Abstract: Stock request vaticination, In this we can prognosticate the price of the stock on the base of the old information and current trend information we're collected. It uses the statistical analysis system and machine literacy using python. There are numerous factor which effects on the stock request like company profit report, profitable pointers, political events etc. Machine literacy is effectively enforced in soothsaying stock prices. The ideal is to prognosticate the stock prices in order to make further informed and accurate investment opinions.

Keywords: Prophetic analytics, Abecedarian analysis, Machine literacy, Artificial intelligence, Trading strategies, request pointers

How to Cite:

[1] Anam Pasha, Raksha Pillewar, Syed Mehvish, Shantanu Zingare, Prof. Abdul Razzaque, “STOCK TREND PREDICTION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12477