Part of Analyze Financial Markets With AI Skills
Finance Blueprint
Analyze Stock Market Data and Earnings
11 skills for stock analysis, earnings, valuations, options, strategies, and liquidity via yfinance.
What problem does this solve?
Provides multi-angle stock analysis in one set of tools instead of switching between fragmented sources. It covers DCF and relative valuations, earnings preview and recap, analyst estimates, correlation, liquidity, options payoff, ETF premium, SaaS compression, SEPA trading strategy, and raw yfinance data.
How does it work?
Once installed, call individual skills to pull market data and generate analysis. 1. Use yfinance-data to fetch prices, financials, options, or dividends. 2. Run earnings-preview or earnings-recap to analyze earnings surprises and beats. 3. Apply company-valuation for DCF, relative, or sum-of-the-parts triangulation. 4. Analyze specific factors like correlation, liquidity, options payoff, or ETF premium as needed. Output: structured stock analysis with valuation scenarios, earnings consensus, and trading setup.
Included Skills
No skills in this group
What's required to run this?
Requires yfinance Python library and Node.js bridge for CLI integration. No API key needed for yfinance free tier; market data is real-time within 15-minute delay for stocks.
Key Features
company-valuation
DCF, relative, and SOTP triangulation with Bull/Base/Bear scenarios and WACC sensitivity
earnings-preview
Pre-earnings briefing with consensus estimates, beat/miss history, and analyst sentiment
earnings-recap
Post-earnings analysis comparing actual vs estimated EPS, price reaction, and margin trends
estimate-analysis
Analyst estimate deep-dive with revision trends, growth projections, and historical accuracy
yfinance-data
Market data via yfinance: prices, financials, options, dividends, earnings dates
Tools in this Blueprint
About This Blueprint
- Industry
- Finance
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