What problem does it solve? Answering "what is this stock worth" requires pulling financials, building a DCF, selecting peers, and reconciling multiple valuation methods — a slow, error-prone manual process. This Skill automates the full workflow using yfinance data and produces a blended implied share price with sensitivity analysis. ## Core Features & Use Cases - Three-Method Triangulation: Builds a 5-year FCFF DCF, applies peer median P/E, EV/Revenue, and EV/EBITDA multiples, and runs sum-of-the-parts for multi-segment companies, then blends them into one implied price. - Sensitivity & Scenarios: Outputs a 5×5 WACC × terminal-growth sensitivity matrix plus Bull/Base/Bear scenarios with explicit assumption levers. - Edge-Case Handling: Adapts methodology for banks, REITs, pre-revenue companies, and cyclicals with appropriate fallbacks like P/B, P/FFO, or mid-cycle normalization. - Use Case: Ask "what is NVDA worth" and receive a structured briefing with a headline verdict, DCF build, peer comparison table, sensitivity grid, and key risks. ## Quick Start Ask the agent to estimate the fair value of a ticker, for example: run a DCF and relative valuation on AAPL and tell me if it is overvalued or undervalued.