26224ab4184a136f282-3b6d 20230112064153765 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2023 12 3 Research Scholar, Department of Computer and Engineering, Bangalore Institute of Technology, Bengaluru, Visvesvaraya Technological University, Belagavi (Karnataka), India. Sowmya R https://orcid.org/0000-0002-4527-8060 Dr. Suneetha K R Professor, Department of Computer and Engineering, Bangalore Institute of Technology, Bengaluru, Visvesvaraya Technological University, Belagavi (Karnataka), India. The development of Big Data (BD), which is used to obtain numerous data from various domains, is brought about by technological advancement. However, managing the information and extracting knowledge from it is the most challenging and problematic. Thus, this paper proposed a template-centric new Data Acquisition (DAQ) methodology. The stock market data is gathered from several structured or unstructured data sources. After the DAQ criterion, templates are created for the gathered data. The stock market data is collected grounded on its Application Programming Interface (API) and transmitted via the transmission protocols during the DAQ process. To effectively remove redundant data, the transmitted data is pre-processed and stored efficiently in the network for further real-time analysis. Finally, the proposed technique’s performance is evaluated. As per the experimental and empirical evaluation, the proposed system surpasses the other methods. 02 28 2023 1 9 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true No funding. No Conflict of Interest. Not Applicable. Data extracted from Twitter AP and Alpha Vantage. First author is the corresponding author while second author is the part of reviewer. 10.35940/ijitee.G9418.0212323 https://www.ijitee.org/portfolio-item/C94180212323/