IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 109

Article Submitted : 16130

Article Published : 7097

Total Authors : 19084

Total Reviewer : 688

Total Countries : 125

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: A Comparitive Study and Analysis of some Supervised Learning Techniques used for Stock Forecasting
Authors Name: Aditya Mistry , Manal Ghadawala
Download E-Certificate: Download
Author Reg. ID:
IJRTI_183117
Published Paper Id: IJRTI2207126
Published In: Volume 7 Issue 7, July-2022
DOI:
Abstract: Stock trading is a very complex and dynamic phenomenon. People buy and sell stocks for the purpose of investments. Stock market trading can be beneficial if done in a wise and planned manner. With the help of technology, we can solve this cumbersome problem. The goal is to review different models and identify the best model that learns from the market data using machine learning techniques and forecast future trends in stock price movement. In this paper, 6 different supervised learning methods are analyzed and observations are made, on the type of method that can be implemented, after analyzing the available data and conditions.
Keywords: Supervised Learning, Stock, Forecasting, Dataset, Accuracy,
Cite Article: "A Comparitive Study and Analysis of some Supervised Learning Techniques used for Stock Forecasting", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.852 - 857, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207126.pdf
Downloads: 000204849
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
Publication Details: Published Paper ID: IJRTI2207126
Registration ID:183117
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 852 - 857
Country: Vadodara, Gujarat, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207126
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207126
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner