Forecasting the future: Analysing Netflix Stock price

Abstract

The primary objective of this research is to predict stock prices of Netflix for analyzing profit on day closing. The research predicts stock market as profit in form of a Chart using Python. The attributes include in the model are Date, Open, Close, High, Low, Volume and Adj Close. The profit of various years are calculated and shown in the form of graphs. This project explores using computer smarts to guess how Netflix's stock price might change. We'll try out different methods like finding similar past situations (KNN), drawing a best-fit line based on past data (linear regression), making a tree-like decision chart (decision tree), and finding a separation line in the data (SVM). We'll feed the computer historical stock prices and other relevant info to train these methods and see which one makes the most accurate predictions for Netflix's future stock price.