• Nagsen Bansod
• Pratibha Sharma
• Siddharth Dabhade

This study has been undertaken to investigate the determinants of stock returns in Indian Stock Exchange (ISE) using machine learning algorithms and IoT, for finding the positive trades in stock. Experimentation performed with the dataset of Kaggle, Indian and American Stock exchange. In this article we used google colab and github data repositories for better interface with API key. prediction of positive trades is possible using machine learning technology; it is shown in the figure and table of result.

Machine learning, API, Stock, Trade, Colab.

"THE POSITIVE TRAITS RELATED TO STOCK TRADES USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.e446-e452, March-2022, Available :http://www.jetir.org/papers/JETIR2203457.pdf

"THE POSITIVE TRAITS RELATED TO STOCK TRADES USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppe446-e452, March-2022, Available at : http://www.jetir.org/papers/JETIR2203457.pdf