Jiukuan Stock RPS Data Analysis
Paste the following prompt into your AI chat to install this skill:
Follow https://skillhub.cn/install/skillhub.md to install @user_577f8e79/jiukuan-stock-rps-api.
About this skill
Problem
Signals such as stock quotes, sector rotation, RPS, limit-up continuation, and ETF share changes are usually scattered across multiple endpoints and fields. Engineers need to turn natural-language queries like yesterday's limit-up or RPS breakout into auditable, reproducible parameterized queries while keeping the interpretation factual rather than investment advice.
How It Works
This skill targets OpenClaw / iFlow and reads api_base_url and api_key from config.json, then maps user intent to specific endpoints using api_knowledge.json and system_prompt.md:
- Market signals: limit, limit_yesterday_today, rps_tp, dashboard_indicator
- Sector screening: THS / TDX strengthening sectors, mainstream sectors, and constituent-stock lookup
- Stocks and ETFs: stock_search, stock_daily_detail, etf_share_size
Requests carry the X-API-Key header; analysis is generated only from actual API responses and ends with risk notes and a disclaimer.
Boundaries
It is suitable for data organization, metric comparison, and objective description. It does not provide buy/sell, position sizing, stop-loss/take-profit, or strategy advice. Fields and parameters should be checked against api_knowledge.json; if api_key is missing or returns 403, do not fabricate data or bypass permissions.
Use Cases
- A quant researcher summarizes yesterday's limit-up stocks after close, using limit to extract counts, first boards, and sector distribution.
- A strategy analyst screens yesterday's RPS breakout stocks, combining rps_tp and all_stocks to compare market cap, concepts, and turnover.
- An ETF analyst tracks net subscription/redemption direction for a specific ETF using etf_share_size and its history endpoint.
- An OpenClaw maintainer parses THS strengthening-sector stock selection into API parameters and produces a risk-noted stock list.
Best For
- Quant researcher: map natural-language market questions to Jiukuan API fields and output auditable factual reports.
- Strategy analyst: compare limit-up continuation, RPS breakouts, and sector strength signals to build a watchlist.
- ETF analyst: track share-size changes and historical redemption/subscription direction for a specific ETF.
- OpenClaw skill maintainer: configure internal stock-data Q&A and enforce objective outputs with risk notes.
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