UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCJ06070


Registration ID:
211247

Page Number

308-311

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Title

Intraday- Big data Analytic for Day Trading

Abstract

Big data is a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with many cases offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate. An analytics engine for big data processing is very much required as the algorithm used to manipulate the large amount of data. In our project, Big Data Analytics and Real-time Streaming has been used to give the day traders an experience of receiving all the required trading tweets in a single website. The website will post the latest trading news (Corporate announcements to start with) by analyzing the tweets posted by various twitter forums. The server component will analyze and filter only that news which will make a difference in the trading on the market. The news posted will have a time stamp in descending order showing the time at which the news was published. The day traders can achieve more profit by getting the information they need as soon as the new breaks.

Key Words

Big Data Analytics, Real-time streaming, trading.

Cite This Article

"Intraday- Big data Analytic for Day Trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.308-311, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06070.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

"Intraday- Big data Analytic for Day Trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp308-311, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06070.pdf

Publication Details

Published Paper ID: JETIRCJ06070
Registration ID: 211247
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 308-311
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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