Financial Argentine peso gets knocked lower, country risk soars as government eyes debt 'reprofiling' |
- Argentine peso gets knocked lower, country risk soars as government eyes debt 'reprofiling'
- How to Web Scrape the SEC Using Python
- Tan Liu: Why Many Of Today's Most-Owned Stocks Are Ponzi Schemes | Peak Prosperity
| Argentine peso gets knocked lower, country risk soars as government eyes debt 'reprofiling' Posted: 30 Aug 2019 12:15 AM PDT
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| How to Web Scrape the SEC Using Python Posted: 29 Aug 2019 06:52 PM PDT Video Title: How to Web Scrape the SEC | Part 1 Video Link: https://youtu.be/-7I7OAC6ih8 The Securities & Exchange Commission has a treasure trove of financial data that is free for download. Since we want to do some machine learning models that require financial data let's take a look at how to web scrape this public data for our use. In this video, we will explore how to scrape all the filings for a single company. Video Title: How to Web Scrape the SEC | Part 2 Video Link: https://youtu.be/eut8-iOiJ_Q This is part two of our series on web scraping the SEC website. In this video, we will see how to scrape the daily index archives to find all the fillings for any given day of the year. With these files, we can easily access the individual documents and filing landing pages that contain XML maps. Video Title: How to Web Scrape the SEC | Part 3 Video Link: https://youtu.be/eut8-iOiJ_Q In this video, we explore how to parse the financial documents inside a 10K filing. We focus mainly on the financial statements and how to extract data from them and discuss how they fall into the bigger scheme of the archive. This video will also cover how to parse the Filing Summary XML file which provides a detailed structure of the archive folder. Link to GitHub Files: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/sec-web-scraping [link] [comments]  | ||
| Tan Liu: Why Many Of Today's Most-Owned Stocks Are Ponzi Schemes | Peak Prosperity Posted: 30 Aug 2019 08:54 AM PDT
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