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
Analysis of stock price prognostication using machine learning
Authors Name:
Resu Rakesh
, R. Amarnath Naidu , R. Kanakaraju , R.Sai Yaswanth , Dr. K. Bala
Unique Id:
IJSDR2403149
Published In:
Volume 9 Issue 3, March-2024
Abstract:
Time series forecasting is broadly used to decide destiny fees, and time collection is used for financial evaluation and in particular for directing traders' choices and transactions. This paper proposes a prudent time collection forecasting method the usage of a rolling window optimization to forecast the charges of mining gadget. The machine has a graphical person interface and runs as a standalone utility. The proposed model is a promising approach for predicting exceptionally non-linear time series whose patterns are tough to capture with traditional models. In this article, system getting to know techniques which include ARIMA, Linear Regression and Random Forest Classifier can be used to are expecting stock charges.
Keywords:
: trade, forecasting Regression, Random Forest Support Vector Machine.
Cite Article:
"Analysis of stock price prognostication using machine learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.1058 - 1062, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403149.pdf
Downloads:
000337362
Publication Details:
Published Paper ID: IJSDR2403149
Registration ID:210543
Published In: Volume 9 Issue 3, March-2024
DOI (Digital Object Identifier):
Page No: 1058 - 1062
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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