|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | STOCK MARKET PREDICTION USING ARIMA AND MACHINE LEARNING |
| Authors Name: | Sakshi G. Gade , Dr. S. F. Sayyad |
| Unique Id: | IJSDR2304130 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Forecasting the stock market using ML and ARIMA. In the dynamic and intricate system (Creation of complex system) of financial markets, and the process of selling and buying is done through the brokers, derivatives, currencies, and stocks. This market offers investors the chance to earn money and live a happy life with a small initial investment, compared to the risks of starting a new business or the need for a high-paying career. However, human- assessed risk strategies and security measures are necessary for evaluating and controlling machine learning performance. Predicting stock prices using ARIMA and machine learning methods is necessary for this project. Stock prices can be predicted with the ARIMA ease and with the help of machine learning. This paper contains a variety of work done on the review paper using various learning strategies. ARIMA and the built-in machine learning stand out the most. Information that does not match the algorithm is erased by Oblivion Gate, leaving only information that does. Rules make it possible to select information as soon as it enters the network. A singular network structure is formed by three gate structures. |
| Keywords: | ARIMA, Machine learning, Stock exchange analysis, Money exchange |
| Cite Article: | "STOCK MARKET PREDICTION USING ARIMA AND MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.737 - 742, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304130.pdf |
| Downloads: | 000337074 |
| Publication Details: | Published Paper ID: IJSDR2304130 Registration ID:204513 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 737 - 742 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.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 |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn