Applying machine learning and textual analysis on macro and micro determinants to predict stock returns
- Make sure your python is configured properly
- In the .ipynb file, make sure the top right python library is the same as where you install your python libraries
There are 4 main folders : Data , Data-Processed , Data-Collection , Data-Model and Data-Report
Contains Stock and Global data. These unstructured data are extracted and preprocessed from investing.com and scraped using BeautifulSoup. Each csv file contains 3 columns : Date, Title and Text
| Name | Rows |
|---|---|
| Apple | 2289 |
| Meta | 2465 |
| Tesla | 1776 |
| Name | Rows |
|---|---|
| World | |
| Politics | |
| Coronavirus |
Vader Analysis is performed on both stock and global data
| Date | Title | Text | Processed Title | Processed Text | Sentiment Title | Sentiment Text | Positive Title | Positive Text |
|---|