Stock Market Prediction Using Machine Learning

Stock Market Prediction Using Machine Learning

1Surya Prakash Sharma, 2Akarsh Bhagat, 3Shruti Goel, 4Ashutosh, 5Ashwani Singh

1B.Tech (Mentor) Department of Computer Science & Engineering, NIET, Greater Noida, Uttar Pradesh, India 2B.Tech. (Scholar) Department of Computer Science & Engineering, NIET, Greater Noida, Uttar Pradesh, India 3B.Tech. (Scholar) Department of Computer Science & Engineering, NIET, Greater Noida, Uttar Pradesh, India 4B.Tech. (Scholar) Department of Computer Science &Engineering, NIET, Greater Noida, Uttar Pradesh, India 5B.Tech (Scholar) Department of Computer Science & Engineering, NIET, Greater Noida, Uttar Pradesh, India

Abstract: One of the most important activities in the world of finance is stock trading. To predict the value of stocks or other financial instruments in the stock market by buying or selling those instruments in the financial markets. This study describes stock prediction using machine learning. Most stock brokers use technical, fundamental or time series analysis when forecasting stocks. Python is a computer language used    to predict  the stock market using machine learning. In this paper, we propose a machine learning (ML) method that learns and gains intelligence using currently available stock market data, and then uses the resulting information to make accurate predictions. In this regard, this work used support vector machine (SVM) machine learning techniques to predict the price of both large and small stocks in three separate markets using both daily and per-minute prices.

Keywords - Stock Market, Machine Learning, Predictions, Support Vector Machine