UGC Approved Journal no 63975(19)

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

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIRES06019


Registration ID:
307438

Page Number

85-89

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Title

ANALYSIS AND FORECAST OF COMMODITY PRICE USING MACHINE LEARNING AND DEPLOYMENT IN WEB APPLICATION

Abstract

Prediction of financial market accurately is certainly significant. Commodity price fluctuations affects the global economic activity. Earning in export industry rely mainly on primary commodity and the movements of commodity prices has significant impact on overall economic progress for all countries. The method of forecasting plays a vital role in predicting adverse movements in case of commodity price prediction. In today’s world, the growth in deep learning outperforms in several demonstration in fields of financial market analysis. In this paper, we present a productionized commodity price analysis and prediction using LSTM model. • The LSTM model gathers data in a sequential order periodically of the commodity value. • Datasets used in our model are collected in real time from Yahoo Finance via API to reduce local storage. • The critical task is to transform a machine learning model into user accessible real time environment. [2] • Manual conversion of a machine learning model source code into a software is a time-consuming and error-prone task. • Investors and traders can buy and sell commodities directly in the spot market.

Key Words

Price Prediction, Commodity, Deep Learning, Finance, LSTM, RNN, Django- REST, Deployment, Productionised ML Model.

Cite This Article

"ANALYSIS AND FORECAST OF COMMODITY PRICE USING MACHINE LEARNING AND DEPLOYMENT IN WEB APPLICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.85-89, April-2021, Available :http://www.jetir.org/papers/JETIRES06019.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

"ANALYSIS AND FORECAST OF COMMODITY PRICE USING MACHINE LEARNING AND DEPLOYMENT IN WEB APPLICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp85-89, April-2021, Available at : http://www.jetir.org/papers/JETIRES06019.pdf

Publication Details

Published Paper ID: JETIRES06019
Registration ID: 307438
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.26847
Page No: 85-89
Country: CHENNAI, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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