NSE Stock Monitoring & Prediction Using Robotic Process Automation

Authors

  • P.Pujitha Author
  • K. Jeevan kumar, Author
  • L.N.V.Rao, Author

Keywords:

Robotic Process Automation (RPA),, NSE (National Stock Exchange),, Stock Market Prediction

Abstract

The core objective of the project is to automate the backend office work of 
monitoring stocks daily. The project uses “Robotic Process Automation” to download the 
daily stock values from NSE website, feed the data into an Excel Sheet and send it to the 
required recipient through E-mail. Software for robotic process automation (RPA) is designed 
to perform basic tasks across applications just like human workers. A process with multiple 
steps and applications is taught to the software robot, such as taking received forms, sending 
a receipt note, verifying the completeness of the document, uploading the form in a folder, 
and updating a spreadsheet with the form name, the date submitted, etc. Like deep learning, 
with some support from programmers, the software robots used in robotic process automation 
are programmed by the employees to do the tasks in a specific workflow. The software is not 
learning on its own or trying to adapt new efficiencies or new insights such as tools for 
enterprise resource management (ERM). RPA acts as a remote worker assistant by clearing 
up the burdensome, simple tasks that eat up part of the day of each office worker.

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Published

04-10-2024

How to Cite

NSE Stock Monitoring & Prediction Using Robotic Process Automation . (2024). International Journal of Engineering Research and Science & Technology, 20(4), 1-8. https://ijerst.org/index.php/ijerst/article/view/441