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  Published Paper Details:

  Paper Title

STOCK MARKET MONITORING USING RASPBERRY PI

  Authors

  Mr. Harsh Sangade,  Mr. Nagesh Shelke,  Ms. Niharika Pagar,  Mr. Shuham Bhapkar,  Mrs. Apashabi Pathan

  Keywords

Stock Market Monitoring Using Raspberry Pi

  Abstract


The Internet of Things (IoT) inevitably changes the way organizations communicate and organize day-to-day business and industry processes. Its adoption has proven to be well suited to sectors that hold large amounts of assets and integrates complex and distributed processes. This study analyzes the enormous potential of using IoT technologies (i.e., data-driven applications or embedded automation and intelligent dynamic systems) to transform modern wars and offer similar benefits to those in the industry. Stock analysis using data mining will be useful for new investors to invest in the stock market depending on the various aspects considered by the software. The stock market includes day-to-day operations such as Sensex calculations, stock exchanges. The exchange offers an efficient and transparent market for equity trading, debt instruments and acquired assets. Our software will analyze Sensex based on the company's stock price. So in this project we will use a python based system on Raspberry Pi (IoT). The app will basically monitor the stock prices in the stock market. Also try to make a trader analysis, that it is easier for the stock market trader to choose a particular stock / buy stock.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTI020010

  Paper ID - 211744

  Page Number(s) - 40-42

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Harsh Sangade,  Mr. Nagesh Shelke,  Ms. Niharika Pagar,  Mr. Shuham Bhapkar,  Mrs. Apashabi Pathan,   "STOCK MARKET MONITORING USING RASPBERRY PI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.40-42, November 2021, Available at :http://www.ijcrt.org/papers/IJCRTI020010.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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