institutional_forensic

To track institutional investor activity in Taiwan stocks, this Skill analyzes eight financial datasets—including foreign investors, investment trusts, and government funds—to reveal money trails and generate a composite forensic score for individual stocks.

A forensic score in stock market analysis is a 0-100 composite metric quantifying a stock's chip health by evaluating institutional buying patterns, margin trading activity, ownership structures, and short-selling pressure.

You identify short-selling pressure and margin trading patterns by querying a unified institutional_snapshot table that integrates security lending and margin trading datasets to highlight unusual activity and potential short squeeze scenarios.

Yes, you can analyze multiple financial datasets for Taiwan stocks without manual consolidation because this Skill integrates eight distinct sources—such as director holdings, proprietary trading, and major brokers—into a single unified view.

The best way to detect smart money accumulation is to analyze integrated institutional investor behavior, identifying consecutive foreign buying streaks and concentrated trust purchases to determine if institutional investors are accumulating shares.

Yes, you need SQL to query the unified institutional_snapshot table, while TypeScript handles the scoring logic to generate actionable trading signals and quantify stock chip health based on institutional indicators.