Stock Analysis
Single-stock read across fundamentals, valuation, technicals, and sentiment — scales from quick anomaly checks to full pre-decision reviews.
Methodology
Fundamentals — is the business healthy?
Multi-year revenue, margin, and ROE trend, cash-flow quality, and debt load — plus two quality scores: Altman Z-Score for bankruptcy risk and Piotroski F-Score for value-quality. Together they translate raw financial statements into a single business-health read.
Valuation — is the price right?
DCF fair value vs current price, PE / PB percentile against the stock's own history and sector peers, and a reverse DCF that flips the question to "what growth rate is the market already pricing in?" — giving both a fair-value estimate and an expectations read in the same pass.
Technicals — what's the trend?
50-day and 200-day SMA trend direction (including golden / death cross signals), RSI for overbought / oversold, and price performance across 1M / 3M / 6M / 1Y. A concise trend context that supplements the fundamental read — it is not a replacement for it.
Sentiment — what does the market think?
Analyst consensus and price-target range, insider activity, community discussion tone, and recent news flow. No single signal is taken at face value — they are triangulated so a "Strong Buy" rating with insider selling and bearish community is surfaced as the conflict it is.
Adaptive depth
A quick check touches 1–2 dimensions ("why did TSLA drop 8%?" runs sentiment + technicals); a full analysis covers all four. The skill scales from anomaly diagnosis to a comprehensive pre-decision check without changing invocation — depth follows the prompt, not a mode switch.
Example prompts
- “Give me a quick read on AAPL — fundamentals, valuation, and sentiment.”
- “Why did TSLA drop 8% yesterday — what changed?”
- “Is the NVDA story still intact after earnings?”
- “Should I buy META at today’s price?”