What problem does it solve? Identifying Taiwanese companies with genuine global top-three or niche leadership positions is hard because market share claims are often self-reported, unverified, or distorted by survivorship and look-ahead bias. This Skill separates verified champion quality from stock valuation and validates its own scoring radar through rigorous historical backtesting. ## Core Features & Use Cases - Champion Scanning & Scoring: Evaluates listed, emerging, and unlisted Taiwanese companies across eight dimensions (niche position, moat, globalization, leading signals, switching costs, financials, cluster advantage, evidence quality) with a 100-point rubric and A–E evidence grading. - Market Share Verification: Checks numerator, denominator, market definition, and independent sources before accepting any "world number one" claim, flagging unverified assertions. - Bias-Free Backtesting: Runs point-in-time backtests using only data published before the cutoff date, computing confusion matrix, precision, recall, F1, and balanced accuracy via the included Python script. - Use Case: Ask the Skill to scan Taiwan's machinery sector for hidden champions as of a 2019 cutoff, then backtest whether the radar's scores predicted which companies achieved global top-three status by 2024. ## Quick Start Use the taiwan-hidden-champion-radar skill to scan Taiwanese companies in a chosen industry for hidden champion potential and rank candidates with evidence grades.
