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A Financial Exchange Using Novel Stock Prediction

S.Srividhya 1 , R.Kayalvizhi 2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 1116-1120, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.11161120

Online published on Mar 31, 2019

Copyright © S.Srividhya, R.Kayalvizhi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.Srividhya, R.Kayalvizhi, “A Financial Exchange Using Novel Stock Prediction,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.1116-1120, 2019.

MLA Style Citation: S.Srividhya, R.Kayalvizhi "A Financial Exchange Using Novel Stock Prediction." International Journal of Computer Sciences and Engineering 7.3 (2019): 1116-1120.

APA Style Citation: S.Srividhya, R.Kayalvizhi, (2019). A Financial Exchange Using Novel Stock Prediction. International Journal of Computer Sciences and Engineering, 7(3), 1116-1120.

BibTex Style Citation:
@article{_2019,
author = {S.Srividhya, R.Kayalvizhi},
title = {A Financial Exchange Using Novel Stock Prediction},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {1116-1120},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3975},
doi = {https://doi.org/10.26438/ijcse/v7i3.11161120}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.11161120}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3975
TI - A Financial Exchange Using Novel Stock Prediction
T2 - International Journal of Computer Sciences and Engineering
AU - S.Srividhya, R.Kayalvizhi
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 1116-1120
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

This paper clarifies the expectation of a stock utilizing Machine Learning. The specialized and crucial or the time arrangement investigation is utilized by the vast majority of the stockbrokers while making the stock expectations. In this setting this investigation utilizes an AI system called Support Vector Machine to foresee stock costs for the vast and little capitalizations and in the three distinct markets, utilizing costs with both every day and regularly updated frequencies. In the money world stock exchanging is a standout amongst the most imperative exercises. Securities exchange expectation is a demonstration of attempting to decide the future estimation of a stock other money related instrument exchanged on a budgetary trade. In this paper, propose a Machine Learning and novel stock prediction approach that will be prepared from the accessible stocks information and increase insight and after that utilizes the procured learning for an exact forecast. The programming language is utilized to foresee the financial exchange utilizing AI.

Key-Words / Index Term

Support vector machine, Machine Learning, Artificial Intelligence

References

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