What problem does it solve? Investors researching high-growth sectors often rely on market consensus, stale quarterly reports, or gut feeling about when to exit, leading to shallow analysis and poor timing. This Skill structures the entire process of finding true alpha companies in a target industry, validating their growth sustainability across multiple dimensions, and defining observable exit signals. ## Core Features & Use Cases - Industry Cognitive Map: Builds a value-chain breakdown of a target sector covering lifecycle stage, business model, competitive landscape, and alpha candidates per segment, then narrows to 2-3 core segments worth deep research. - Five-Dimension Growth Validation: Cross-checks financial statements, high-frequency industry data (weekly/monthly shipments, prices, orders), industry trends, competitive dynamics, and macro conditions, requiring all dimensions to confirm sustainable growth. - Valuation Anchoring & Exit Discipline: Assesses PE/PS historical percentiles and PEG fit to classify opportunities as undervalued, fairly valued, or bubble, and produces a falsifiable inflection-point checklist (macro, industry, company level) with specific metrics and review cadence. - Use Case: Ask it to analyze the AI compute or EV battery supply chain, and it returns a structured report naming the core alpha companies, evidence for why each leads its segment, entry pricing guidance, and the exact signals that would trigger an exit. ## Quick Start Ask the agent to run the era-alpha framework on a specific industry such as humanoid robotics, including the industry map, core alpha candidates, growth validation, valuation view, and exit checklist.
