Abstract

Stock exchange is amongst the most important actions in the commercial world. The act of trying to predict the upcoming price of a stock or additional economic tool traded on a commercial conversation is recognized as stock market prediction. The large percentage of stock traders utilize practical and important analysis, and also time series analysis, while making stock estimates. Python is the programming language used to use machine learning to predict the stock market. In this paper, we propose a Machine Learning (ML) approach that will be trained utilizing offered to the public stock statistics to figure intellect, and then use that intelligence to produce an true prediction.

References

• Parmar, Ishita, Navanshu Agarwal, Sheirsh Saxena, Ridam Arora, Shikhin Gupta, Himanshu Dhiman and Lokesh Chouhan,“Stock Market Prediction Using Machine Learning” ,2018 ,First International Conference on Secure Cyber Computing and Communication (ICSCCC) ,574-576.
• MeghnaMisra, Ajay Yadav and Harkiran Kaur,“Stock Market Prediction using Machine Learning Algorithms: A Classification Study”, 2018, International Conference on Recent Innovation in Electrical, Electronics & Communication Engineering - (ICRIEECE), 2475-2478.
• Ashish Sharma, Dinesh Bhuriya and Upendra Singh, “Survey of Stock Market Prediction Using Machine Learning Approach”, 2017, International Conference on Electronics, Communication and Aerospace Technology ICECA, 506-509.
• NaadunSirimevan, I.G.U.H. Mamalgaha, Chandira Jayasekara, Y.S. Mayuran, and Chandimal Jayawardena, “Stock Market Prediction Using Machine Learning Techniques”, 2019, International Conference on Advancements in Computing(ICAC), 192-197.
• EV Shah ,Haruna Isah andFarhana Zulkernine, “Stock Market Analysis: A Review and Taxonomy of Prediction Techniques”, 2019.
• Srinath Ravikumar and Prasad Saraf, “Prediction of Stock Prices using Machine Learning (Regression, Classification) Algorithms”, 2020, International Conference for Emerging Technology (INCET), 1-5.
• Sumeet Sarode, Harsha G. Tolani, Prateek Kak, and Lifna C S, “Stock Price Prediction Using Machine Learning Techniques”, 2019, International Conference on Intelligent Sustainable Systems (ICISS), 177-181.
• Rachna Sable, Dr. Shivani Goel, and Dr.Pradeep Chatterjee, “ Empirical Study on Stock Market Prediction Using Machine Learning”, 2019, International Conference on Advances in Computing, Communication and Control (ICAC3).
• Zaharaddeen Lawal, Hayati Yassin and Rufai Zakari, “`Stock Market Prediction using Supervised Machine Learning Techniques: An Overview”, 2020, IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).
• Parag Kadu, and Dr. G. R. Bamnote, “Comparative Study of Stock Price Prediction using Machine Learning”, 2021, Proceedings of the 6th International Confeence on Communication and Electronics Systems (ICCES), 1200-1204.
• Jeevan B, Naresh E, Vijaya Kumar B P, Prashanth kambli, “Share Price Prediction using Machine Learning Technique”, 2018, IEEE Third International Conference on Circuits, Control, Communication and Computing.
• A. Pavate, A. Chaudhary, P. Nerurkar, P. Mishra and M. Shah, "Cuisine Recommendation, Classification and Review Analysis using Supervised Learning," 2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW), 2020, pp. 1-6.