About this skill

What it addresses

In A-share short-term and medium-term trading, signals are scattered across K-line data, volume, sector flows, fund movements, and news. Manual review can easily overfit a single stock, chase limit-up moves, mistake washouts for distribution, or reduce main-force net outflow to a simple downtrend. This skill structures a snake-flow/Chan-theory-style workflow for engineers and data users: fetch data first, then analyze levels, structure, momentum, and buy/sell points with explicit checks.

How it works

Data preparation: pulls ticker codes, real-time quotes, daily/minute candles, fund flows, technical indicators, news, financials, and sector data via westock-data.
Structure decomposition: builds fractal, stroke, segment, pivot, and trend states across operating and sub-levels.
Momentum and entry/exit: uses MACD, pivot ranges, and divergence to distinguish first, second, and third buy/sell points.
Pre-analysis checks: for limit-up, hot-topic, and sector cases, checks market position, volume-price behavior, seal quality, research risks, and hot-money behavior.
Scenario classification: tags targets as event-driven bursts, industry-trend waves, or long-term value, then applies dimensions such as financing balance, main-force trend, weekly MACD, and MA20 for mid-cycles.

Limits

It is better suited to short-term or swing analysis when A-share, HK, or US market data are available. The output is structured judgment and risk context, not an automatic trading signal. For low-liquidity names, purely fundamental blue chips, or thin data coverage, verify data quality before treating template conclusions as deterministic forecasts.

Screenshots

Use Cases

Given an A-share ticker, decompose a 30-minute chart into strokes, segments, and pivots to classify trend vs consolidation.
Before chasing a limit-up stock, check market level, 30-day volume-price, seal quality, and sector fund flow.
For a mid-cycle name, use financing balance, main-force 5/10/20-day flow, weekly MACD, and MA20 to separate washouts from distribution.
Match event-driven, industry-trend, and value names to their checklists, then output boundary conditions and an action plan.

Best For

Individual A-share traders who want a quick read on whether a stock is in trend, consolidation, or a buy/sell point.
A-share research assistants who need to structure K-line, fund-flow, dragon-tiger board, and hot-topic signals into a conclusion.
Engineers building LLM review workflows who want to encode Chan levels, pivots, and divergence rules into prompts.
Private advisors covering small/mid-cap thematic names who need to screen for bait-out, distribution, and sector catch-up risk.

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