alterlab-edgartools

$npx mdskill add AlterLab-IEU/AlterLab-Academic-Skills/alterlab-edgartools

Access and extract data from SEC EDGAR filings using edgartools.

  • Retrieves financial statements, insider trades, institutional holdings, and regulatory filings.
  • Depends on the edgartools Python library and network access to SEC EDGAR.
  • Uses ticker, CIK, or industry to identify and fetch relevant filings.
  • Returns structured data as Python objects for further analysis or display.

SKILL.md

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---
name: alterlab-edgartools
description: Accesses, analyzes, and extracts data from SEC EDGAR filings using the edgartools Python library. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K, 10-Q), proxy statements (DEF 14A), 8-K current events, company screening by ticker/CIK/industry, multi-period financial analysis, or any SEC regulatory filings. Part of the AlterLab Academic Skills suite.
license: MIT
allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*)
compatibility: No API key required, but the SEC requires an identity string (email) set before requests. Runs via `uv run python`; needs network access to SEC EDGAR.
metadata:
    skill-author: AlterLab
    version: "1.0.0"
---

# edgartools — SEC EDGAR Data

Python library for accessing all SEC filings since 1994 with structured data extraction.

## Authentication (Required)

The SEC requires identification for API access. Always set identity before any operations:

```python
from edgar import set_identity
set_identity("Your Name [email protected]")
```

Set via environment variable to avoid hardcoding: `EDGAR_IDENTITY="Your Name [email protected]"`.

## Installation

```bash
uv pip install edgartools
# For AI/MCP features:
uv pip install "edgartools[ai]"
```

API examples here are verified against edgartools 5.35.x. To run a one-off without a venv: `uv run --with edgartools python ...`.

## Core Workflow

### Find a Company

```python
from edgar import Company, find

company = Company("AAPL")        # by ticker
company = Company(320193)         # by CIK (fastest)
results = find("Apple")           # by name search
```

### Get Filings

```python
# Company filings
filings = company.get_filings(form="10-K")
filing = filings.latest()

# Global search across all filings
from edgar import get_filings
filings = get_filings(2024, 1, form="10-K")

# By accession number
from edgar import get_by_accession_number
filing = get_by_accession_number("0000320193-23-000106")
```

### Extract Structured Data

```python
# Form-specific object (most common approach)
tenk = filing.obj()              # Returns TenK, EightK, Form4, ThirteenF, etc.

# Financial statements (10-K/10-Q)
financials = company.get_financials()     # annual
financials = company.get_quarterly_financials()  # quarterly
income = financials.income_statement()
balance = financials.balance_sheet()
cashflow = financials.cashflow_statement()

# XBRL data
xbrl = filing.xbrl()
income = xbrl.statements.income_statement()
```

### Access Filing Content

```python
text = filing.text()             # plain text
html = filing.html()             # HTML
md = filing.markdown()           # markdown (good for LLM processing)
filing.open()                    # open in browser
```

## Key Company Properties

```python
company.name                     # "Apple Inc."
company.cik                      # 320193
company.ticker                   # "AAPL"
company.industry                 # "ELECTRONIC COMPUTERS"
company.sic                      # "3571"
company.shares_outstanding       # 15115785000.0
company.public_float             # 2899948348000.0
company.fiscal_year_end          # "0930"
company.exchange                 # "Nasdaq"
```

## Form → Object Mapping

| Form | Object | Key Properties |
|------|--------|----------------|
| 10-K | TenK | `financials`, `income_statement`, `balance_sheet` |
| 10-Q | TenQ | `financials`, `income_statement`, `balance_sheet` |
| 8-K | EightK | `items`, `press_releases` |
| Form 4 | Form4 | `reporting_owner`, `transactions` |
| 13F-HR | ThirteenF | `infotable`, `total_value` |
| DEF 14A | ProxyStatement | `executive_compensation`, `proposals` |
| SC 13D/G | Schedule13D / Schedule13G | `total_shares`, `items` |
| Form D | FormD | `offering`, `recipients` |

**Important:** `filing.financials` does NOT exist. Use `filing.obj().financials`.

## Common Pitfalls

- `filing.financials` → AttributeError; use `filing.obj().financials`
- `get_filings()` has no `limit` param; use `.head(n)` or `.latest(n)`
- Prefer `amendments=False` for multi-period analysis (amended filings may be incomplete)
- Always check for `None` before accessing optional data

## Reference Files

Load these when you need detailed information:

- **[companies.md](references/companies.md)** — Finding companies, screening, batch lookups, Company API
- **[filings.md](references/filings.md)** — Working with filings, attachments, exhibits, Filings collection API
- **[financial-data.md](references/financial-data.md)** — Financial statements, convenience methods, DataFrame export, multi-period analysis
- **[xbrl.md](references/xbrl.md)** — XBRL parsing, fact querying, multi-period stitching, standardization
- **[data-objects.md](references/data-objects.md)** — All supported form types and their structured objects
- **[entity-facts.md](references/entity-facts.md)** — EntityFacts API, FactQuery, FinancialStatement, FinancialFact
- **[ai-integration.md](references/ai-integration.md)** — MCP server setup, Skills installation, `.docs` and `.to_context()` properties

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