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
DataSourceinterface. - Security Resolution: Resolve ISINs and Symbols to valid
yfinancetickers. - 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
1 maintainer
Metadata
1 maintainer
Release files for py-yfinance 0.3.0
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Release files / py_yfinance-0.3.0.tar.gz
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