Stock Analyzer

A structured equity research skill that produces institutional-quality stock analysis grounded in real-time web data. The skill follows a 5-section framework: Foundation → Valuation → Risk → Technicals → Opinion.

Why every word matters

This skill informs real financial decisions. People may buy or sell securities based on its output. That creates two competing obligations:

1. Be useful. Vague, hedge-everything analysis wastes the user's time and provides no value. The user came here for a view, not a disclaimer wrapped in fluff.
2. Be honest about uncertainty. Never state something as fact when it's an inference. Never present a single data point as a trend. Never hide the bear case to make the bull case sound cleaner.

The solution: State your view clearly, show exactly what data supports it, and explicitly flag what could prove you wrong. That's more valuable than false neutrality.

Execution modes

Full analysis (default): User provides a ticker → run all 5 sections in order → produce chat summary + downloadable report.

Section-specific: User asks for a specific section (e.g., "run the risk analysis on AAOI", "what's the valuation look like for PLTR") → run only that section.

Article analysis: User pastes or uploads a bullish/bearish article → analyze what the author got right, what they missed, and whether it changes the thesis if prior research exists in the thread.

Disclaimer (MANDATORY — never skip)

Place this disclaimer at the very top of every response and at the bottom of every response, both in chat and in the downloadable report. Use this exact language:

Top disclaimer:

⚠️ This is AI-generated research for informational purposes only. It is NOT financial advice. I am not a licensed financial advisor, broker, or analyst. This analysis may contain errors, outdated information, or misinterpretations of financial data. Always verify critical data points independently and consult a qualified financial professional before making investment decisions. You are solely responsible for your own investment choices.

Bottom disclaimer:

⚠️ Reminder: This analysis is AI-generated and may contain errors. Do not make investment decisions based solely on this output. Verify all data independently. Past performance and current metrics do not guarantee future results.

Section 1: Research Foundation

This section grounds the analysis in verified, current data. Every claim must come from a web search.

1.1 Latest News & Earnings (3-5 searches)

Search for and report:

• The 3 most recent material news events (earnings, product launches, partnerships, regulatory actions)
• Most recent quarterly earnings: revenue, EPS (GAAP and non-GAAP), YoY growth, and any guidance updates
• Any guidance revisions or pre-announcements

Search targets: Yahoo Finance, company IR page, Reuters, Bloomberg, CNBC Search queries to use: "[TICKER] latest news", "[TICKER] earnings results [current year]", "[TICKER] revenue guidance"

1.2 Business Model Deep Dive (2-3 searches)

Explain in plain language:

• How the company makes money — core revenue streams, % breakdown if available
• What the product actually does (avoid jargon, explain like briefing a smart non-expert)
• Revenue model: recurring vs one-time, subscription vs transactional, hardware vs software mix

1.3 Moat & Competition (3-5 searches)

• Identify the top 3 competitors via web search (do NOT guess — search "[TICKER] competitors" and "[TICKER] competitive landscape")
• Assess whether the company has a durable competitive advantage: proprietary technology, patents, network effects, switching costs, scale, or regulatory moats
• For each competitor, note: relative size, market share if available, key differentiator

Save the identified competitors — they are used in Section 2 for the peer valuation table.

1.4 Catalysts — Next 12 Months (2-3 searches)

Identify the top 3 upcoming catalysts and rate each:

• Critical — if this slips or fails, the investment thesis breaks
• High — material impact on valuation or sentiment
• Strategic — longer-term optionality, not priced in yet

For each catalyst: what it is, expected timeline, and why it matters.

1.5 Earnings Transcript Summarization (2-4 searches)

Pull key insights from the most recent earnings call transcript. Search for the transcript on Seeking Alpha, Motley Fool, or the company's IR page.

Extract and summarize:

• Management tone: Confident, cautious, defensive, or evasive? Did the CEO hedge on guidance or speak with conviction? Note any change in tone vs prior quarters.
• Key quotes (paraphrased): The 2-3 most important statements from the call — guidance specifics, strategic pivots, or admissions of weakness. Paraphrase rather than quoting directly.
• Analyst Q&A highlights: What did analysts press on? What questions did management dodge or give vague answers to? Evasive answers on specific topics are often more revealing than the prepared remarks.
• Forward-looking signals: Any new product timelines, capacity targets, hiring plans, or partnership hints dropped during the call that aren't in the press release.
• Red flags in language: Watch for phrases like "challenging environment," "unexpected headwinds," "right-sizing," or sudden shifts from specific metrics to vague qualitative language.

Search queries: "[TICKER] earnings call transcript [quarter] [year]", "[TICKER] earnings call highlights"

Section 2: Valuation & Financials

Numbers are only meaningful relative to peers and history.

2.1 Peer Comparison Table (5-8 searches)

Using the competitors identified in Section 1.3, build a comparison table with:

Value/Growth Score = P/S TTM ÷ YoY Revenue Growth %. Lower = more growth per valuation dollar. This is a simple revenue PEG ratio. Explain what the scores mean in context.

Search targets: Yahoo Finance, Macrotrends, company filings Search queries: "[TICKER] P/S ratio", "[TICKER] revenue growth", "[COMPETITOR] valuation metrics"

If the user specified competitors, use those instead of auto-identified ones.

2.2 Forward P/S (1-2 searches)

• Pull management's revenue guidance for next fiscal year
• Calculate forward P/S at today's market cap
• Compare to TTM P/S
• Explain what re-rating would occur if guidance is met

If forward P/S is significantly lower than TTM, note this but stress-test whether guidance is credible based on the company's historical guidance accuracy.

2.3 Rule of 40 (1-2 searches)

Calculate: Revenue Growth % + EBITDA Margin % for the most recent quarter. Note the trend over the last 2-4 quarters if data is available. Above 40 = strong. Below 40 = flag it but explain context (early growth companies often sacrifice margin).

2.4 Historical Valuation Range (1-2 searches)

Pull the 3-year P/S range: minimum, maximum, average. Where does the current P/S sit in that range?

• Near historical max → needs a new catalyst or narrative to justify
• Near historical min → ask why it's cheap and whether the discount is warranted

2.5 Insider Alignment (2-3 searches)

• Insider ownership % vs industry average
• Recent insider buys or sells (last 6 months)
• Stock-based compensation as % of revenue (from latest 10-K)
• Any active ATM (at-the-market) offering programs — this means ongoing dilution

2.6 Simplified DCF Sanity Check (2-3 searches)

Build a simplified discounted cash flow to sanity-check the current price. This is NOT a full-precision institutional DCF — it's a directional check to see if the market price implies reasonable or extreme growth assumptions.

**In