A SURVEY ON STOCK MARKET PREDICTION USING MACHINE LEARNING TECHNIQUES

Author Name: Muhammad Zeeshan Younas

Volume: 01 &  Issue:

Country: Pakistan

DOI NO.: 08.2020-25662434, DOI Link: http://www.doi-ds.org/doilink/09.2020-65752174/

Affiliation:

1. Department Of Computer Science, Capital University of Science & Technology, Islamabad, Pakistan.

ABSTRACT

Stock market prediction has been a field of attention for researchers as well as investors. The major task Stock Market prediction is a big challenge and difficulties stage for finance and statistics experts. This paper suggests a methodology to prediction of stock market current developments using machine learning models and techniques like Random Forest model and Support Vector Machine. Stock exchange prediction is not easy but machine learning with some techniques and method have solved some problem for future prediction. Different steps are followed to apply and get best stock market predictions. This research work with advanced techniques that is done by various researchers was studied in this research work it provides admirable and good accuracy performance by perceiving different research papers. SVM is a satisfactory tool for economic forecasting and stock market prediction.

Key words: Machine Learning, Classification Techniques, Data Mining, Stock Market, Prediction