Daxiapi Price Limit Hotspot Analysis
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Please install @user_506878eb/xiapi-price-limit-analysis according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Short-term A-share reviews often stall on manual data work: which sectors are attracting capital, which leaders are truly on consecutive boards, and whether broken boards signal risk or disagreement. This skill turns daxiapi zdt limit-up, limit-down, and broken-board data into a structured daily hotspot read.
How It Works and Where It Fits
It first checks Token setup, then pulls zt, dt, and zb data. The main analysis flow includes:
- Sector heat: aggregates limit-up counts by industry field first, uses concept fields only as supplemental context, and filters noisy tags such as institutional heavy holdings, AB shares, and yesterday high amplitude.
- Leader screening: treats only stocks with N==M and N>=2 as true consecutive-board names, avoiding false leaders like “3 times in 6 days.”
- Sentiment read: combines limit-up/limit-down ratios, broken-board rate, and CS strength to judge sealing intent and market disagreement.
- Broken-board tiers: flags high-level broken boards with N>=3 as risk signals, while low-level cases mainly reflect short-term capital disagreement.
It fits daily market review, sector hotspot screening, and leader-stock selection. It is not intended for fundamentals, valuation, long-term research, or bonds, funds, and futures. Outputs should include risk warnings and disclaimers, and avoid absolute predictions.
Use Cases
- Review the daily A-share tape, aggregate limit-up counts by sector, and identify the strongest sectors.
- Filter true consecutive-board leaders where N==M and N>=2, then build a leader list.
- Compare limit-up, limit-down, and broken-board rates to judge sealing intent and disagreement.
- Separate high-level and low-level broken boards to support short-term risk notes.
Best For
- Short-term traders: need a quick read on daily limit-up sectors, leaders, and sentiment.
- Data analysts: need to clean daxiapi limit-up fields into a structured review sheet.
- Research assistants: need to filter noisy concept tags and draft cross-sector hotspot notes.
- Independent traders: want to track consecutive-board names, broken-board risk, and market effect.
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