https://github.com/amirdora/data-scraping-and-fundamental-analysis
Stock crawling and analysis using python with panda, matplotlib and scrapy library. Stock analysis methods taken from the book "Warren Buffett and the Interpretation of Financial Statements" by Mary Buffet
https://github.com/amirdora/data-scraping-and-fundamental-analysis
crawling-python data-mining data-science stock valuation visualization
Last synced: about 2 months ago
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Stock crawling and analysis using python with panda, matplotlib and scrapy library. Stock analysis methods taken from the book "Warren Buffett and the Interpretation of Financial Statements" by Mary Buffet
- Host: GitHub
- URL: https://github.com/amirdora/data-scraping-and-fundamental-analysis
- Owner: amirdora
- Created: 2021-05-09T22:14:16.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-01-28T11:32:59.000Z (almost 3 years ago)
- Last Synced: 2025-01-19T17:50:18.364Z (11 months ago)
- Topics: crawling-python, data-mining, data-science, stock, valuation, visualization
- Language: Python
- Homepage:
- Size: 7.7 MB
- Stars: 1
- Watchers: 4
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: Readme.md
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README
## About The Project



This project is analytical dash web application that has a built-in crawler which mines data financial data from MacroTrends website and data is analyzed using financial statements tickers of the company to create visualization. This app is inspired by the book "Warren Buffett and the Interpretation of Financial Statements", quotes are taken from the book.
## How to run project
This is an example of how you may give instructions on setting up your project locally.
To get a local copy up and running follow these simple example steps.
### Installation
1. Clone the repo
2. Install python
3. Install requirements 'pip install -r .\requirements.txt'
4. Simply run index.py python class
5. Once application is running, simply enter company name and ticker in the search box. Copy stock ticker: e.g "TSLA", Company: e.g "Tesla" from
[https://www.macrotrends.net/stocks/](https://www.macrotrends.net/stocks/)
## License
Distributed under the MIT License.
## Contact
Amir Dora. - [@amirdora_](https://twitter.com/amirdora_)