What problem does it solve? Writing the technical analysis section (Part IX) of an equity research report requires gathering OHLCV price data, computing indicators like RSI and MACD, and interpreting support/resistance levels consistently. This Skill standardizes that workflow so the technical section is reproducible and properly sourced. ## Core Features & Use Cases - Indicator Computation: Calculates 20/60/120/200-day moving averages, RSI 14, MACD (12,26,9), Bollinger Bands (20,2), ATR 14, and OBV from OHLCV data. - Multi-Source Data Routing: Uses yfinance for global markets and KRX official data paths (korea-stock MCP) for Korean-listed companies. - Evidence Ledger Emission: Appends every data point to a dual-format evidence ledger (Markdown table plus JSONL) with TEC-prefixed IDs for auditability. - Use Case: Given a ticker like AAPL, produce a findings.md file containing price summaries across 1-month to 3-year windows, trend and moving-average analysis, indicator signal tables, support/resistance levels, and a dashboard YAML block for downstream HTML report rendering. ## Quick Start Run the technical-analyst skill on ticker AAPL to generate the Part IX technical analysis findings file in the active workspace.
