UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2204417


Registration ID:
400694

Page Number

e123-e127

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Title

Visualizing And Forecasting Stocks Using DASH

Abstract

In the money world stock exchanging is one of the most significant exercises. Stock exchange forecast is a demonstration of attempting to decide the future estimation of a stock. This paper clarifies the forecast of stock utilizing machine learning. The specialized and major or the time arrangement examination is utilized by the majority of the stockbrokers while making the stock predictions. The programming language is utilized to foresee the financial exchange utilizing AI in Python. Right now, we propose a Machine Learning (ML) approach that will be trained from the accessible stock’s information for a precise prediction. Right now, study utilizes an AI procedure called Long Short-Term Memory (LSTM) Algorithm to foresee stock costs.

Key Words

Stock Market, Machine learning, Predictions, LSTM.

Cite This Article

"Visualizing And Forecasting Stocks Using DASH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e123-e127, April-2022, Available :http://www.jetir.org/papers/JETIR2204417.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Visualizing And Forecasting Stocks Using DASH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe123-e127, April-2022, Available at : http://www.jetir.org/papers/JETIR2204417.pdf

Publication Details

Published Paper ID: JETIR2204417
Registration ID: 400694
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e123-e127
Country: Bengaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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