Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
As the financial industry rapidly moves toward data-driven optimization, with the recent emergence of modern finance sophisticated and systematic investment management practices are observed by utilizing the provided financial instruments and tools to make practical investment decisions. Big data technologies can help in leveraging real-time data in cloud computing environments. The ability of big data to acquire, process, and analyse real-time data quickly and accurately cannot be matched by any other technology. When faced with a plethora of market information, big data technology provides a diversified source of information for multiple investment strategies. Instead of just simply analysing stock prices, it also takes into account political and social trends that may or are affecting the stock market. This review introduces the current data trends along with the extensive influence of big data. Moreover, it outlines the newly explored research directions.
Keywords:
Finance, Big Data, Stocks, Investment
Cite Article:
" A Data-Driven approach to Stock Market Investment", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1439 - 1441, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206215.pdf
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000205388
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator