building-lockSEC Edgar Search

State of the art notebook tools to designed to search, retrieve, and analyze financial data from the SEC's EDGAR database. This is a work-in-progress.

Tutorials are the best documentation — Edgar Filings Tutorialarrow-up-right

Description

This documentation outlines tools for accessing and analyzing SEC EDGAR filings data. It provides functions to search for specific filings, retrieve filing documents, extract financial statements, and visualize key financial facts.

The toolkit enables users to efficiently gather and analyze regulatory filing data for various companies, supporting in-depth financial analysis and research.

Data Access

To search for SEC filings:

import sovai as sov
sov.sec_search("CFO Resignation")

This function searches for filings related to the given keyword and saves the results in a CSV file. It is the fastest way to go from search query to CSV/datframe output.

  • Available search parameters:

    • Search Keyword

    • CIK (Central Index Key)

    • Filing Type

    • Date Range (Start Date, End Date)

    • Company Name

    • Ticker Symbol

  • Search and Download buttons functionality

Loading Search Results

After performing a search, you can load the results into a pandas DataFrame:

Accessing Specific Filings

This creates a filing object for nflx Inc.'s 10-Q filing dated June 6, 2022.

Displays the full report

The filing object provides several attributes and methods for analysis:

Shows the financial statements

Provides sampled financial facts

Allows you to perform time-series analysis with fact-level financial data.

Generates visualizations of financial facts

It self-selects facts that have increased/decreased the most over a lookback period that is controlled with a slider at the top, you can also add other facts from the select bar.

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