Stock Price Prediction Using Machine Learning

dc.contributor.author	Aniket Gupta, 20SCSE1010776
dc.contributor.author	Rishabh Chaudhary, 20SCSE1010777
dc.date.accessioned	2024-09-18T07:51:40Z
dc.date.available	2024-09-18T07:51:40Z
dc.date.issued	2022-11
dc.identifier.uri	http://10.10.11.6/handle/1/18119
dc.description	SCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDA	en_US
dc.description.abstract	In stock market prediction, the aim is the future value of the financial stocks of a company. The recent trend in stock market prediction technologies is the machine learning to predict stock values. Factors considered are open, close, low, high, volume. in stock market consist of many numbers of company shares along with prices in stock market every minute stock price will changes depending on the company environment and country economic structure decisions. In stock market there are many brokers for handing the stocks buying and selling between the clients and company. Stock market prediction seems a complex problem because there are many factors that have yet to be assumptions. Machine learning as such has many models	en_US
dc.language.iso	en_US	en_US
dc.publisher	Galgotias University	en_US
dc.subject	Stock Price Prediction	en_US
dc.subject	Using Machine Learning	en_US
dc.title	Stock Price Prediction Using Machine Learning	en_US
dc.type	Technical Report	en_US