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Your dataset builder is a great idea. There are multiple distinct datasets that I currently have to scrape using regex keywords. I think one can probably create tiny little templates around it.
Executive Compensation Details:
Comprehensive data on salaries, bonuses, stock options, and other compensation elements for top executives across companies.
You might have to have a separate one for options as it is quite specific.
Employee Benefit Plans: Details on retirement plans, health benefits, and other employee compensation schemes.
Mergers and Acquisitions (M&A) Activities: Information on M&A deals, including deal terms.
There are many others to include here, but thought I will keep it shorter
The text was updated successfully, but these errors were encountered:
Hey @firmai, very useful issue. If you have more ideas, I'm happy to hear them.
Btw - I should be releasing an always up to date parsed SEC archive this month. Once that is up, I'll build the always up to date alternative datasets on top of it.
Your dataset builder is a great idea. There are multiple distinct datasets that I currently have to scrape using regex keywords. I think one can probably create tiny little templates around it.
Executive Compensation Details:
Comprehensive data on salaries, bonuses, stock options, and other compensation elements for top executives across companies.
You might have to have a separate one for options as it is quite specific.
Employee Benefit Plans: Details on retirement plans, health benefits, and other employee compensation schemes.
Mergers and Acquisitions (M&A) Activities: Information on M&A deals, including deal terms.
There are many others to include here, but thought I will keep it shorter
The text was updated successfully, but these errors were encountered: