Speedup jobs with Local Storage
How you can use Local Storage in edgartools to make your filing analysis jobs faster
Topic
Edgar
A collection of 10 issues
Analyze Form 3 Filings with edgartools
Discover how SEC Form 3 filings reveal critical insights into corporate leadership's skin in the game. This deep dive explores how Python and the edgartools library can transform regulatory disclosures into actionable investment intelligence
Mental models and local storage
About mental models in technology and how I thought about the design of local storage in edgartools
An almost fatal data bug
How a data change to the SEC filing indexes broke edgartools and how it was fixed
Lost in translation - the Honda and Nissan merger talks
Are the Japanese automakers Honda and Nissan planning to enter merger talks or were the news reports premature or misleading? Use edgartools to find out
A New Way to Think About SEC Filings
Discover how edgartools allows you to treat SEC filings as semantic data objects, dramatically simplifying how you access and process company filing data.
Using Pydantic AI and Edgartools for investigations
Using Pydantic AI and Edgar Tools to investigate corporate actions by looking through their 8-K filings
Quick easy access to 8-K filings
This article will guide you through the process of efficiently retrieving and analyzing 8-K filings using the powerful edgartools Python library. By the end of this guide, you'll be able to programmatically access, filter, view, and download these critical SEC documents with ease.
AI-generated financial datasets
financial-datasets is an open-source Python library that simplifies the process of generating realistic question & answer financial datasets using Large Language Models (LLMs).
Researching insider stock sales - Part 2
We use edgartools to find research insider trades for a company by viewing their Form4 filings