What problem does it solve? Financial research often relies on a single data source, which risks errors from GAAP vs Non-GAAP differences, currency conversion, or stale updates. This Skill enforces a rule that every key financial figure must come from two independent sources, with discrepancies over 1% explicitly flagged. ## Core Features & Use Cases - Dual-source verification: Defines prioritized data sources per market (macrotrends/stockanalysis for US stocks, aastocks for HK, eastmoney/cninfo for A-shares, FinMind/Goodinfo for Taiwan stocks) and computes error rates between them. - Tiered discrepancy handling: Differences under 1% pass, 1-5% get flagged with explanations, and over 5% require checking original filings (10-K, annual reports) before use. - Taiwan stock tooling: Uses tools/twstock_data.py to fetch quotes, valuation, financials, monthly revenue, and dividends from the FinMind API with built-in market-cap verification. - Use Case: When analyzing TSMC, run the twstock_data.py script for FinMind figures, cross-check against Goodinfo, and present revenue with both source values and the computed error rate. ## Quick Start Fetch and cross-validate TSMC's last five years of revenue and net income using the FinMind tool and Goodinfo, flagging any discrepancy above 1%.
