A python wrapper for Yahoo Finance using rust for the backend.
Project description
YahooRS
YahooRS is a Python-based utility for fetching and managing Yahoo Finance data, leveraging DuckDB for efficient local storage and Polars for high-performance data manipulation. It provides tools for candle data, option chains (with Greeks), and financial statements.
Features
- Historical Price Data (Candles): Fetch and store historical price data with configurable intervals and periods. Includes automated staleness detection and local caching.
- Options Analysis: Download full option chains, including real-time Greeks (Delta, Gamma, Theta, Vega), Black-Scholes pricing, and historical probability of profit calculations.
- Financial Statements: Retrieve annual and quarterly income statements, balance sheets, and cash flow statements.
- Financial Ratios & Margins: Automated calculation of key financial metrics such as P/E, P/S, P/B, EV/EBITDA, ROE, and various profit margins.
- Local Database (DuckDB): Persists all fetched data locally to minimize redundant API calls and enable fast offline analysis.
- CLI & Library: Accessible via a command-line interface or directly as a Python library.
Installation
pip install yahoors
Data Storage
By default, YahooRS stores data in a DuckDB database located in your platform's standard configuration directory (e.g., ~/.config/yahoors/ on Linux). You can override this by setting the YAHOO_FINANCE_DB environment variable.
CLI Usage
The package installs a yahoors command with several subcommands:
Fetch Candle Data
yahoors get-candles AAPL MSFT --interval 1d --range 1y
Options Screener
yahoors options-screener -s AAPL --min-dte 30 --max-dte 60
Financial Statements
yahoors statements AAPL --statement-type income --annual --ratios
Library Usage
from YahooRS.modules.candles import Candles
from YahooRS.modules.options import Options
# Initialize with default database
candles = Candles()
options = Options()
# Fetch data
df = candles.get_candles(["AAPL"])
option_chain = options.get_options(["AAPL"])
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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