https://github.com/hermann-web/webscrapping-for-financial-data
This repository extracts profit data for Tesla and GameStop, then builds a dashboard to compare their stock prices with hedge fund profits.
https://github.com/hermann-web/webscrapping-for-financial-data
financial-data gamestop stock-market-analysis tsla webscraping
Last synced: 8 months ago
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This repository extracts profit data for Tesla and GameStop, then builds a dashboard to compare their stock prices with hedge fund profits.
- Host: GitHub
- URL: https://github.com/hermann-web/webscrapping-for-financial-data
- Owner: Hermann-web
- Created: 2021-05-13T00:04:47.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-05-13T01:03:45.000Z (over 4 years ago)
- Last Synced: 2025-01-04T21:19:55.467Z (9 months ago)
- Topics: financial-data, gamestop, stock-market-analysis, tsla, webscraping
- Language: Jupyter Notebook
- Homepage:
- Size: 91.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# webscrapping-for-financial-data
Individual investors using the forum on the Reddit online community named WallStreetBets, started buying into shares of GameStop, a video and computer-game retailer losing money. The influx of demand caused GameStop shares to soar. All this produced billions of dollars in losses for hedge funds who had sold the stock short. [ 1] GameStop's share price should fall eventually, so the Hedge funds should hold on to the short positions. As a data scientist working for a hedge fund, you will extract the profit data for Tesla and GameStop and build a dashboard to compare the price of the stock vs the profit for the hedge fund.