py-yfinance 0.1.7

A structured Python interface for retrieving and validating market data using yfinance

yfinance

A structured Python interface for retrieving and validating market data using yfinance. Implements the DataSource protocol from pydantic-market-data to provide type-safe security resolution and historical data fetching.

Features

• Protocol-Oriented: Implements DataSource interface.
• Security Resolution: Resolve ISINs and Symbols to valid yfinance tickers.
• Validation:
  • Price Validation: Verify tickers against daily high/low range.
  • Date Validation: Validate prices on specific historical dates.
• CLI: Optional command-line interface for lookup and history.

Installation

# Basic installation
uv pip install yfinance

Usage

As a Library

from py_yfinance.source import YFinanceDataSource
from pydantic_market_data.models import SecurityCriteria

source = YFinanceDataSource()

# 1. Simple Lookup by Symbol
criteria = SecurityCriteria(symbol="AAPL")
result = source.resolve(criteria)
print(result)
# Symbol(ticker='AAPL', name='Apple Inc.', exchange='NMS', currency='USD', ...)

# 2. Strict Validation using Date & Price
# Useful for verifying ISIN mappings or ensuring data quality
criteria = SecurityCriteria(
    isin="NL0010273215",
    target_date="2025-12-15",
    target_price=923.4  # Validates against history
)
match = source.resolve(criteria)
if match:
    print(f"Verified: {match.ticker}")
else:
    print("Validation failed: Price mismatch or symbol not found")

CLI Usage

Lookup

Resolve a security by Symbol or ISIN.

# Basic Lookup
uv run yfinance lookup --symbol AAPL

# ISIN Lookup with Strict Validation
# Verifies that NL0010273215 commanded a price of ~923.4 on 2025-12-15
uv run yfinance lookup --isin NL0010273215 --date 2025-12-15 --price 923.4

History

Fetch historical candles.

uv run yfinance history AAPL --period 5d

Development

This project uses uv for dependency management.

# Sync dependencies
uv sync

# Run Tests
uv run pytest

License

MIT