commodity-registry 0.1.5

Single source of truth for financial instrument data

Commodity Registry

Single source of truth for financial instrument data. Used to map ISINs, Tickers, and Names to canonical commodity identifiers for Beancount and other financial tools.

Concepts

• Canonical Name: The unique identifier used in Beancount ledgers (e.g., AAPL, CSPX).
• ISIN: International Securities Identification Number (e.g., US0378331005). primary key for resolution.
• FIGI: Financial Instrument Global Identifier.
• Ticker: Provider-specific symbol (e.g., AAPL for Yahoo, CSPX.L for Yahoo).

Installation

uv tool install commodity-registry

Configuration

The registry loads data from two sources:

1. Bundled Data: Built-in common commodities (ETFs, Stocks).
2. User Data: Custom YAML files located at PATH_COMMODITY_REGISTRY.

Set the environment variable to point to your custom registry:

export PATH_COMMODITY_REGISTRY=~/path/to/my/registry

The registry recursively scans this directory for .yaml and .yml files.

Usage

Resolve a Token

Find the canonical commodity for an ISIN, Ticker, or Name.

commodity-reg resolve US0378331005
# Output: Resolved: AAPL

With price verification (checks if price matches historical data):

commodity-reg resolve US0378331005 --date 2024-01-01 --price 185.00

Add a Commodity

Add a new commodity to your local registry.

# Auto-fetch metadata from Yahoo Finance
commodity-reg add US0378331005 --fetch

# Manually specify details
commodity-reg add --name AAPL --isin US0378331005 --ticker AAPL --instrument-type Stock --asset-class Stock --currency USD

Linting

Validate your registry data and check for duplicates.

commodity-reg lint

Verify against live market data (checks if tickers are valid):

commodity-reg lint --verify

Fetch Metadata

Look up security details from online providers (Yahoo Finance, FT).

commodity-reg fetch --isin US0378331005

Programmatic Usage

You can use the registry in your Python scripts:

from commodity_registry.registry import get_registry

# Initialize registry (loads bundled data + user data from env var)
reg = get_registry()

# 1. Resolve by ISIN
commodity = reg.find_by_isin("US0378331005")
if commodity:
    print(f"Name: {commodity.name}, Currency: {commodity.currency}")

# 2. Search by any token (ISIN, Name, FIGI)
candidates = reg.find_candidates("AAPL")
for c in candidates:
    print(f"Found: {c.name} ({c.isin})")

# 3. Look up by ticker
# Note: Ticker lookup requires the provider name
comm = reg.find_by_ticker("yahoo", "AAPL")

Programmatic Usage

You can use the registry in your Python scripts:

from commodity_registry.registry import get_registry

# Initialize registry (loads bundled data + user data from env var)
reg = get_registry()

# 1. Resolve by ISIN
commodity = reg.find_by_isin("US0378331005")
if commodity:
    print(f"Name: {commodity.name}, Currency: {commodity.currency}")

# 2. Search by any token (ISIN, Name, FIGI)
candidates = reg.find_candidates("AAPL")
for c in candidates:
    print(f"Found: {c.name} ({c.isin})")

# 3. Look up by ticker
# Note: Ticker lookup requires the provider name
comm = reg.find_by_ticker("yahoo", "AAPL")

Data Format (YAML)

commodities:
  - name: AAPL
    isin: US0378331005
    instrument_type: Stock
    asset_class: Stock
    currency: USD
    tickers:
      yahoo: AAPL
    validation_points:
      - date: "2024-01-01"
        price: 185.64

Contributing

• Bundled Data: Submit a PR to add common instruments to src/commodity_registry/data/commodities/.
• Providers: Implement new data sources in src/commodity_registry/finder.py by adding a class that implements the DataSource interface.