About this skill

Problem It Solves

Technical analysis on a single stock or ETF often stays surface-level: chart patterns look intuitive, but Chan theory requires identifying strokes, segments, centers, and buy/sell points. New users may also get stuck on data retrieval. This skill turns that workflow into a repeatable analysis pipeline: fetch market data, decompose structure, score signals, and render an HTML report with a readable conclusion.

How It Works

It starts by resolving the ticker name with tdx_lookup_stock, then pulls daily K-line data through tdx-pro's get_kline_data, with a TDX MCP fallback. The analysis weighs Chan theory 40%, candlestick patterns 20%, fund flow 20%, and volume 20%, while MACD, KDJ, RSI, OBV, BOLL, and moving averages serve as resonance checks. The output is an HTML report with a five-level verdict, suggested action, stop-loss level, invalidation level, expandable indicator breakdowns, and a resonance matrix. A card mode can also render the result as a game-style panel with stat bars, radar charts, and key prices.

Boundaries

Use it for one stock or ETF code, Chan theory analysis, technical analysis, multi-dimensional analysis, or card-style visualization. Avoid it for fundamentals, valuation, broad market outlook, sector comparison, or single data lookups such as price, PE, or market cap. Charts depend on an ECharts CDN; if offline, graphics may be blank while text remains readable. Outputs are probabilistic interpretations, not investment advice.

Screenshots

Use Cases

Review an ETF code before entry and check Chan theory structure, buy/sell points, and stop-loss levels.
Analyze six months of daily A-share data to identify strokes, segments, centers, and volume-price resonance.
Prepare an HTML report with a five-level verdict and key prices for colleagues who do not know Chan theory.
Render the analysis into a skill-card panel with stat bars, radar chart, and position/cooling fields.

Best For

Short-term traders tracking stocks or ETFs who need buy/sell points, stop-loss levels, and invalidation levels.
Technical analysis assistants preparing ticker reviews who need indicator breakdowns and resonance matrices in HTML.
Quant learners studying Chan theory who want to verify strokes, segments, centers, and interval nesting.
Product operators building visual cards who need volume-price signals rendered as skill-card or conclusion panels.