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 Resources:
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Resource: GitHub File
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Resource: Sigma Coding Finance Functions Folder
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Resource: Sigma Coding Finance SEC Scraping Folder
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Resource: Sigma Coding Finance TD Folder
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Resource: Sigma Coding Finance Yahoo Finance Folder
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Resource: TD Ameritrade Python Client Library Repo
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Resource: Interactive Brokers Python Client Library Repo
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Title: How to Web Scrape the SEC | Part 1
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Title: How to Web Scrape the SEC | Part 2
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Title: How to Web Scrape the SEC | Part 3
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Title: How to Web Scrape the SEC | Part 4
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Title: Parsing SEC Filings (Newer Ones) in Python | Part 1
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Title: Parsing SEC Filings (Newer Ones) in Python | Part 2
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Title: Parsing SEC Filings (Newer Ones) in Python | Part 3
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Title: Parsing SEC Filings (Newer Ones) in Python | Part 4
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Title: Parsing SEC Filings (Newer Ones) in Python | Part 5
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Title: How to use the EDGAR Database in Python | Building Requests
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Title: How to use the EDGAR Database in Python | Pagination
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Title: How to use the EDGAR Database in Python | Parsing Responses
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Title: Exploring SEC Data Sources
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Title: Scraping SEC XBRL Documents | Part 1
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Title: Scraping SEC XBRL Documents | Part 2
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Title: Scraping SEC XBRL Documents | Part 3
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Title: Scraping SEC XBRL Documents | Part 4
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#Finance #Python #SEC
