Are Big Data database technologies already used to improve fundamental and technical analysis for capital companies whose securities issued by these companies are traded on the stock exchange market?
Fundamental and technical analysis are basic research methods of verification of available economic and financial data, market data and developments on the stock exchange market, whose primary function is to provide the necessary information for the purpose of making decisions on investing in securities.
For many years, discussions and considerations inspired by such questions have been conducted:
- What kind of analysis of economic and other data provides better knowledge for investing in securities listed on the stock exchange?
- Which analysis, ie fundamental or technical analysis, provides better knowledge for investing in securities listed on the stock exchange?
- Thanks to which analysis, ie fundamental and technical analysis, investors achieve the best results in investing, the highest returns on investment in securities listed on the stock exchange?
- Which investment strategies are the most effective? Are the most effective investment strategies based on conducting fundamental or technical analysis and maybe on a specific combination of both types of analysis?
However, due to the development of new computerized technologies of advanced processing of large collections of information, new questions have recently appeared in the field of fundamental and technical analysis in the context of investment decisions made for financial and investment transactions carried out on capital markets.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
Some of the advanced technology information technologies typical of the current technological revolution are already used for the improvement of analytical processes conducted in various fields of knowledge. One of these areas is the issue of economic and financial analyzes, the aim of which is to diagnose the situation of a particular enterprise, financial institution, issuer of securities or another economic entity.
In connection with the above, I am asking you with the following query:
Are Big Data database technologies already used to improve fundamental and technical analysis for capital companies whose securities issued by these companies are traded on the stock exchange market?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
Dear Friends and Colleagues of RG, I propose the following proposal for a research topic: Does it result in the use of Big Data database technologies and Business Intelligence analytics for technical analysis, fundamental analysis and other analysis of economic effectiveness, economic and financial situation, property valuation, determining the development perspectives of enterprises, joint-stock companies, issuers of securities whose securities are located in the stock exchange trading on the stock exchange, the efficiency of analytical processes increases? Do the results of conducted analyzes using Big Data database technologies and Business Intelligence analytics allow to improve the accuracy of conducted analyzes and increase the probability of prediction, forecasted phenomena and economic processes occurring?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
Dear Adheem Naeem, Emmanuel V Murray, Mohammed Kemal, Ahmed Hussein Ali, Thank you very much for your answer. I, too, believe that Big Data database technologies already used to improve fundamental and technical analysis.
Best wishes,
Have a nice day,
Dariusz Prokopowicz
Yes... Sezer, O. B., Ozbayoglu, A. M., & Dogdu, E. (2017, April). An artificial neural network-based stock trading system using technical analysis and big data framework. In proceedings of the southeast conference (pp. 223-226).
Network-based Stock Trading System Using Technical Analysis and Big Data Framework ... Sezer, O. B., Ozbayoglu, M., & Dogdu, E. (2017). A deep neural-network based stock trading system based on evolutionary optimized technical analysis parameters. Procedia computer science, 114, 473-480.
… Deep Learning and Big Data analytics are two focal points of data science … Deep Learning can be used to extract incredible information that buried in a Big Data … determine if Deep Learning models can be adapted to improve the performance of sentiment analysis for Stock Twits … Sohangir, S., Wang, D., Pomeranets, A., & Khoshgoftaar, T. M. (2018). Big Data: Deep Learning for financial sentiment analysis. Journal of Big Data, 5(1), 1-25.
Dear D A Gayan Nayanajith,
Thank you for the information provided regarding the use of analytics carried out on Big Data platforms for the needs of economic and financial analyzes. Thank you for the literature sources provided.
Best regards
Dariusz Prokopowicz
I agree with the opinion that the Big Data Analytics analytical technology can be very helpful in the analysis of large sets of information on the functioning of various markets, sectors and the entire economy, as well as data from individual economic entities for which economic, financial, index and fundamental analysis is carried out, e.t.c.
Best wishes,
Dariusz Prokopowicz
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