finyahoo

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Read prices and fundamentals from Yahoo Finance.

Daily, weekly, and monthly open/high/low/close and volume, the adjusted close, dividends and splits, company fundamentals (sector, market cap, valuation, ...), the sell-side analyst consensus, live quotes, options, screeners, and news.

1. Install

pip install finyahoo

Requires Python 3.11+.

2. Quickstart

from finyahoo import YahooClient

yahoo = YahooClient()
history = yahoo.fetch_history("AAPL", start="2020-01-01")
latest = history.bars[-1]
print(latest.trade_date, latest.close, latest.adj_close, latest.volume)
print(len(history.splits), "splits,", len(history.dividends), "dividends")

profile = yahoo.fetch_profile("AAPL")
print(profile.sector, profile.market_cap, profile.trailing_pe)

Symbols are Yahoo tickers: a US stock is bare (AAPL), a Korean one carries the market suffix (005930.KS KOSPI, .KQ KOSDAQ), an index is caret-prefixed (^GSPC). A delisted or unknown ticker raises YahooRequestError, not an empty result.

3. Client options

YahooClient takes two optional keyword-only settings:

yahoo = YahooClient(timeout=10, delay_seconds=1.0)

4. Methods

The two core reads

• fetch_history — a PriceHistory: OHLCV bars (close split-adjusted, adj_close also dividend-adjusted), plus the Split and Dividend events that fell in the same span, carried as data. Both bounds inclusive; both default to the widest window Yahoo has.
• fetch_profile — a Profile: one symbol's fundamentals (sector, size, valuation, growth, margins). A snapshot as of now, not history; every numeric field is optional and a missing one is None, never 0. The analyst view is its own read, fetch_consensus.

5. DataFrames

Every result record is a dataclass, so pandas or polars tabulates it directly:

import pandas as pd
prices = pd.DataFrame(history.bars).set_index("trade_date")

import polars as pl
prices = pl.DataFrame(history.bars)

The same works for history.splits, history.dividends, a screen's members, or a fetch_quotes(...) result.

6. Command line

Installing the package puts a finyahoo command on PATH (also python -m finyahoo):

finyahoo history AAPL --start 2024-01-01  # OHLCV bars + split/dividend events
finyahoo history ^GSPC --timeframe week   # weekly bars for an index
finyahoo profile AAPL                     # current fundamentals
finyahoo profile 005930.KS --json         # full snapshot as JSON
finyahoo quote MU                         # live price snapshot for one symbol
finyahoo news MSFT                        # related news headlines for one symbol
finyahoo match Microsoft                  # Yahoo symbols matching a name or ticker

Each subcommand prints a readable summary by default and the full result with --json; --help on any of them (finyahoo quote --help) lists the flags. quote takes one symbol and prints its live price snapshot; profile prints that symbol's fundamentals; news lists a symbol's related headlines and match resolves a name or ticker to Yahoo symbols (both take -n/--count).

Example output

finyahoo history AAPL -- a one-line summary then the most recent bars:

AAPL  11498 bars  (5 splits, 91 dividends)
  2026-07-23  close     321.6600  adj     321.6600  vol 40,840,800
  2026-07-24  close     333.0200  adj     333.0200  vol 47,489,400
  2026-07-27  close     336.9100  adj     336.9100  vol 49,604,300
  2026-07-28  close     340.0800  adj     340.0800  vol 51,859,000
  2026-07-29  close     338.1900  adj     338.1900  vol 55,929,000

finyahoo profile AAPL -- the company fundamentals:

symbol               AAPL
name                 Apple Inc.
sector               Technology
industry             Consumer Electronics
currency             USD
market_cap           4967117094912
shares_outstanding   14687356000
trailing_pe          40.99273
forward_pe           35.059658
price_to_book        46.58264
trailing_eps         8.25
revenue_growth       0.166
earnings_growth      0.218
profit_margin        0.27152002
operating_margin     0.32275
return_on_equity     1.4147099
fifty_two_week_high  344.57
fifty_two_week_low   201.5
beta                 1.097

finyahoo consensus AAPL -- the sell-side analyst view (target range, rating, and the recent rating trend):

symbol               AAPL
target_high_price    400.0
target_low_price     215.0
target_mean_price    323.28195
target_median_price  330.0
recommendation_mean  2.04348
recommendation       buy
analyst_count        41
    0m  strong_buy 6  buy 22  hold 14  sell 2  strong_sell 2
   -1m  strong_buy 6  buy 22  hold 16  sell 1  strong_sell 2
   -2m  strong_buy 7  buy 23  hold 15  sell 1  strong_sell 2

finyahoo quote AAPL -- the live price snapshot:

symbol                     AAPL
name                       Apple Inc.
quote_type                 EQUITY
exchange                   NasdaqGS
currency                   USD
market_state               PRE
price                      338.19
previous_close             340.08
change                     -1.88998
change_percent             -0.555747
day_open                   339.69
day_high                   344.5699
day_low                    337.3501
volume                     48852885
market_time                2026-07-29 20:00:01+00:00
pre_market_price           336.21
pre_market_change          -1.980011
pre_market_change_percent  -0.58547294
pre_market_time            2026-07-30 13:20:11+00:00
fifty_day_average          308.5888
two_hundred_day_average    277.21344

finyahoo news MSFT -- related headlines, most recent first (-n caps how many):

2026-07-30 17:30  (Yahoo Finance Video) Meta's & Microsoft's massive AI spending: Why only one is getting rewarded
  https://finance.yahoo.com/video/metas-microsofts-massive-ai-spending-173000471.html
2026-07-30 17:29  (MT Newswires) OpenAI Reducing Price of GPT-5.6 Luna Model by 80%
  https://finance.yahoo.com/technology/ai/articles/openai-reducing-price-gpt-5-172908415.html
2026-07-30 17:28  (MT Newswires) Sector Update: Tech Stocks Sharply Higher Thursday Afternoon
  https://finance.yahoo.com/markets/stocks/articles/sector-tech-stocks-sharply-higher-172836223.html

finyahoo match Microsoft -- the Yahoo symbols a name or ticker resolves to, ranked:

MSFT       EQUITY          NASDAQ     Technology  Microsoft Corporation
MSF.DE     EQUITY          XETRA      Technology  MICROSOFT CORP.               R
MSF.F      EQUITY          Frankfurt  Technology  MICROSOFT CORP.               R
MSFTX-USD  CRYPTOCURRENCY  CCC        None        Microsoft tokenized stock (xStock) USD
MSFT34.SA  EQUITY          São Paulo  Technology  MICROSOFT   DRN
MSFT01.BK  EQUITY          SET        Technology  MSFT01_DR MSFT#BLS

7. Use it from an AI coding agent

This repo doubles as a plugin marketplace for Claude Code and Codex, exposing history, profile, and quote as skills that shell out to the finyahoo command — so install the package first (above); no key or login is involved.

7.1. Claude Code

/plugin marketplace add seokhoonj/finyahoo
/plugin install finyahoo@finyahoo

Then ask in plain words ("show AAPL's profile", "what's MU trading at?"), or invoke a skill explicitly — /finyahoo:history ^GSPC, /finyahoo:profile AAPL, /finyahoo:quote MU.

7.2. Codex

codex plugin marketplace add seokhoonj/finyahoo
codex plugin add finyahoo@finyahoo

The history / profile / quote skills trigger on a symbol, or run finyahoo quote <symbol> directly.

Prefer no plugin? Symlink a skill into your skills directory and call it bare (/history):

ln -s "$PWD/plugins/finyahoo/skills/history" ~/.claude/skills/history

8. License

MIT