/Regression-and-Sentiment-Analysis

Speculated stock closing prices through multivariate regression models using Pandas, NumPy and Sk-learn. SMA and EMA financial indicators were chosen for AMZN stock's closing prices. Analzyed results through twitter sentiment analysis on amazon using TextBlob and Vader Sentiment. Deduced a strong relationship score of 0.89 between stock price fluctuations and public opinion of stocks such as Amazon over the last two decades, achieving a correlation score of 0.89.

Primary LanguageJupyter Notebook

This repository is not active