ticker-price-data 0.1.2

Unified ticker price data from Yahoo Finance, CoinGecko, and TradingView.

ticker-price-data

Unified ticker price data from Yahoo Finance (stocks/indices/forex/futures), CoinGecko (crypto), and TradingView (universal fallback).

One normalized quote shape for every asset, with sensible fallbacks and built-in caching.

Key Features 🔑

• get_price(ticker, asset_type) — single entry point; asset_type="auto" uses ticker-classifier to decide stock vs crypto vs forex automatically.
• get_ticker(ticker) — everything known about a symbol in one call: classification metadata (sector, industry, market cap, company profile, ...) plus the live quote, classifying only once.
• get_stock_info(ticker) — Yahoo Finance, with a TradingView fallback.
• get_crypto_info(ticker) — CoinGecko via the website search_v2 endpoint (avoids the public API's free-tier rate limits), with Yahoo → TradingView fallbacks.
• get_tradingview_quote(symbol, asset_hint) — realtime websocket pool + scraper fallback.
• In-memory caching, stale/negative caching, and concurrency limits built in.
• Pre-market and after-hours data where available.

All helpers return Optional[dict]:

{
    "price": float,
    "change_percent": float,
    "volume": float,
    "website": str,
    "source": str,                      # "yahoo" | "coingecko" | "tradingview"
    # stocks only:
    "last_close": float | None,         # previous day's regular-session close
    "session": str,                     # "regular" | "pre-market" | "after-hours" | "closed"
    "extended_price": float,            # pre/after-hours price (omitted when session == "regular")
    "extended_change_percent": float,   # (extended_price − price) / price × 100 (omitted when session == "regular")
}

extended_price and extended_change_percent persist from the end of after-hours (8 pm ET) through weekends and holidays until pre-market opens (4 am ET) on the next trading day.

Installation ⚙️

pip install ticker-price-data

or, for local development:

pip install -e .

Usage ⌨️

import asyncio
from ticker_price_data import get_price, get_ticker, get_stock_info, get_crypto_info

async def main():
    print(await get_stock_info("AAPL"))     # Yahoo
    print(await get_crypto_info("BTC"))     # CoinGecko
    print(await get_price("BTC", "auto"))   # classified automatically
    print(await get_ticker("AAPL"))         # metadata (sector, industry, ...) + quote

asyncio.run(main())

License 📜

This project is licensed under the MIT License. See the LICENSE file for details.