About this skill

Problem It Solves

Technical-pattern screening for A-shares often becomes messy when pattern codes, strength indicators, moving-average rules, and volume conditions have to be combined manually. This skill wraps the Daxiapi pattern-screening workflow into an agent-ready process, so it can answer requests such as "list today's VCP stocks" or "find top-RPS stocks trading above MA20". Its focus is an actionable screening chain, not generic stock-picking copy.

How It Works

Pattern recall: choose a primary condition such as vcp, sos, spring, trendUp, newHigh, rps, or gxl, then retrieve candidates via daxiapi stock pattern.
Secondary filtering: apply local filters for SCTR, IBS, moving-average position, market cap, RSI, and volume thresholds after the initial data fetch.
Ranking and synthesis: summarize sector distribution, sort by RPS, SCTR, and CS, and extract concept themes plus 5/10/20-day momentum signals.
Report output: produce a structured result with core conclusions, key metrics, stock list, sector distribution, strength analysis, risk notes, and disclaimer.

First use requires a Daxiapi API token. Handle 401 by checking token configuration and 429 by pacing requests; when multiple filters return no rows, state that the conditions may be too strict and suggest relaxing thresholds.

Boundaries

It fits technical patterns, momentum strength, trend-following, and bottom-up stock screening. It is not for deep fundamental research, long-term valuation modeling, bond/fund/futures analysis, or teaching technical indicators as an investment course. Output should keep data-timeliness caveats and an "not investment advice" boundary.

Screenshots

Use Cases

During after-market review, recall same-day VCP or SOS candidates, summarize sector distribution, and rank stock strength for a concise review checklist.
When preparing morning-meeting material, screen top-RPS sector stocks trading above MA20 and generate a verifiable candidate list for discussion notes.
When tracking thematic stocks, extract new-high and breakout names, then compile sector themes and 5/10/20-day momentum signals for a follow-up watchlist.
When building a high-dividend watchlist, pull stocks with dividend yield above 3% and annotate data freshness and risk caveats in the report notes.

Best For

Quant researchers following A-share technical patterns need to turn VCP, SOS, or RPS conditions into candidate lists.
Research assistants preparing daily recap reports need sector distribution, strength ranking, and risk caveats.
Portfolio managers selecting thematic stocks need to filter by new highs, volume breakouts, and momentum indicators.
Engineers integrating Daxiapi APIs need pattern codes and secondary filters wired into agent workflows.