Stock Price Prediction Using Python

Stock Price Prediction Using Python

Avinash Kushwaha

Galgotias University

Under The Supervision Of

 Associate Professor- Tej Singh

Galgotias University

ABSTRACT

The stock market is a dynamic and complex system that is impacted by a wide range of variables, including economic statistics, news, and political happenings. Investors must still make sensible decisions even though it can be challenging to predict the direction of the stock market. The use of Python as a computer language for stock market forecasting is investigated in this paper. We'll start by discussing the research on stock market forecasting and the many approaches that have been utilized. In the following section, we'll discuss selecting features, creating models, and getting the data ready. Finally, we will evaluate the performance of our model by comparing it to other models and utilizing a range of metrics.

Keywords:  Stock Market Prediction, Machine Learning, Neural System, Linear Regression, Scikit-Learn, ANN