القائمة
Access Yahoo Finance data including real-time pricing, fundamentals, analyst estimates, options, news, and historical data via the yahooquery Python library.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Connect your AI assistant to GoHighLevel CRM via the official API v2. Manage contacts, conversations, calendars, pipelines, invoices, payments, workflows, and 30+ endpoint groups through natural language. Includes interactive setup wizard and 100+ pre-built, safe API commands. Python 3.6+ stdlib only — zero external dependencies.
Manage Cloudflare DNS records, Tunnels (cloudflared), and Zero Trust policies. Use for pointing domains, exposing local services via tunnels, and updating ingress rules.
Mema's personal brain - SQLite metadata index for documents and Redis short-term context buffer. Use for organizing workspace knowledge paths and managing ephemeral session state.
Design beautiful interfaces using 16+ design systems including Material You, Fluent Design, Apple HIG, Ant Design, Carbon Design, Shopify Polaris, Minimalism, Glassmorphism, Neo-Brutalism, Neumorphism, Skeuomorphism, Claymorphism, Swiss Design, and Atlassian Design. Expert in Tailwind CSS, color harmonics, component theming, and accessibility (WCAG).
| name | yahooquery |
| description | Access Yahoo Finance data including real-time pricing, fundamentals, analyst estimates, options, news, and historical data via the yahooquery Python library. |
Comprehensive access to Yahoo Finance data via the yahooquery Python library. This library provides programmatic access to nearly all Yahoo Finance endpoints, including real-time pricing, fundamentals, analyst estimates, options, news, and premium research.
The primary interface for retrieving data about one or more securities.
from yahooquery import Ticker
# Single or multiple symbols
aapl = Ticker('AAPL')
tickers = Ticker('AAPL MSFT NVDA', asynchronous=True)
Access to pre-built screeners for discovering stocks by criteria.
from yahooquery import Screener
s = Screener()
screeners = s.available_screeners # List all available screeners
data = s.get_screeners(['day_gainers', 'most_actives'], count=10)
Access proprietary research reports and trade ideas.
from yahooquery import Research
r = Research(username='you@email.com', password='password')
reports = r.reports(report_type='Analyst Report', report_date='Last Week')
trades = r.trades(trend='Bullish', term='Short term')
The Ticker class exposes dozens of data endpoints via properties and methods.
.income_statement(frequency='a', trailing=True) - Income statement (annual/quarterly).balance_sheet(frequency='a', trailing=True) - Balance sheet.cash_flow(frequency='a', trailing=True) - Cash flow statement.all_financial_data(frequency='a') - Combined financials + valuation measures.valuation_measures - EV/EBITDA, P/E, P/B, P/S across periods.price - Current pricing, market cap, 52-week range.history(period='1y', interval='1d', start=None, end=None) - Historical OHLC
1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo.option_chain - Full options chain (all expirations).calendar_events - Next earnings date, EPS/revenue estimates.earning_history - Actual vs. estimated EPS (last 4 quarters).earnings - Historical quarterly/annual earnings and revenue.earnings_trend - Analyst estimates for upcoming periods.recommendation_trend - Buy/Sell/Hold rating changes over time.gradings - Recent analyst upgrades/downgrades.asset_profile - Address, industry, sector, business summary, officers.company_officers - Executives with compensation details.summary_profile - Condensed company information.key_stats - Forward P/E, profit margin, beta, shares outstanding.financial_data - Financial KPIs (ROE, ROA, debt-to-equity, margins).insider_holders - List of insider holders and positions.insider_transactions - Recent buy/sell transactions by insiders.institution_ownership - Top institutional holders.fund_ownership - Top mutual fund holders.major_holders - Ownership summary (institutional %, insider %, float).esg_scores - Environmental, Social, Governance scores and controversies.recommendation_rating - Analyst consensus (Strong Buy → Strong Sell).news() - Recent news articles.technical_insights - Bullish/bearish technical patterns.fund_holding_info - Top holdings, bond/equity breakdown.fund_performance - Historical performance and returns.fund_bond_holdings / .fund_bond_ratings - Bond maturity and credit ratings.fund_equity_holdings - P/E, P/B, P/S for equity holdings.summary_detail - Trading stats (day high/low, volume, avg volume).default_key_statistics - Enterprise value, trailing P/E, forward P/E.index_trend - Performance relative to a benchmark index.quote_type - Security type, exchange, marketimport yahooquery as yq
# Search
results = yq.search('NVIDIA')
# Market Data
market = yq.get_market_summary(country='US') # Major indices snapshot
trending = yq.get_trending(country='US') # Trending tickers
# Utilities
currencies = yq.get_currencies() # List of supported currencies
exchanges = yq.get_exchanges() # List of exchanges
rate = yq.currency_converter('USD', 'EUR') # Exchange rate
The Ticker, Screener, and Research classes accept these optional parameters:
asynchronous=True - Make requests asynchronously (for multiple symbols)max_workers=8 - Number of concurrent workers (when async)retry=5 - Number of retry attemptsbackoff_factor=0.3 - Exponential backoff between retriesstatus_forcelist=[429, 500, 502, 503, 504] - HTTP codes to retrytimeout=5 - Request timeout in secondsformatted=False - If True, returns data with {raw, fmt, longFmt} structurevalidate=True - Validate symbols on instantiation (invalid → .invalid_symbols)country='United States' - Regional data/news (france, germany, canada, etc.)proxies={'http': 'http://proxy:port'} - HTTP/HTTPS proxyuser_agent='...' - Custom user agent stringverify=True - SSL certificate verificationusername='you@email.com' / password='...' - Yahoo Finance Premium loginsession=... / crumb=... - Share auth between Research and Ticker instancestickers = Ticker('AAPL MSFT NVDA TSLA', asynchronous=True)
prices = tickers.price # Returns dict keyed by symbol
Most financial methods return pandas.DataFrame. Convert for JSON output:
df = aapl.income_statement()
print(df.to_json(orient='records', date_format='iso'))
Yahoo limits 1-minute data to 7 days per request. For 30 days:
tickers = Ticker('AAPL', asynchronous=True)
df = tickers.history(period='1mo', interval='1m') # Makes 4 requests automatically
r = Research(username='...', password='...')
reports = r.reports(sector='Technology', investment_rating='Bullish')
# Reuse session for Ticker
tickers = Ticker('AAPL', session=r.session, crumb=r.crumb)
data = tickers.asset_profile
portfolio = Ticker('AAPL MSFT NVDA', asynchronous=True)
summary = portfolio.summary_detail
earnings = portfolio.earnings
history = portfolio.history(period='1y')
s = Screener()
gainers = s.get_screeners(['day_gainers'], count=20)
# Returns DataFrame with price, volume, % change, etc.
nvda = Ticker('NVDA')
options = nvda.option_chain
# Filter for calls/puts, strikes, expirations
tickers = Ticker('AAPL MSFT NVDA')
calendar = tickers.calendar_events
# Shows next earnings date + analyst estimates
Full API docs at: /Users/henryzha/.openclaw/workspace-research/skills/yahooquery/references/
index.md - Overview of classes and functionsticker/ - Detailed breakdown of all Ticker methodsscreener.md - Screener class guideresearch.md - Research class (Premium)keyword_arguments.md - Complete list of configuration optionsmisc.md - Global utility functionsadvanced.md - Sharing sessions between Research and Tickerpython3 -m pip install yahooqueryretry, backoff_factor, and status_forcelist for robustness.