china-stock-sector-strategy板块策略分析(纯 OpenClaw 公开源版):基于东财公开行业/概念板块快照。
Install via ClawdBot CLI:
clawdbot install luyao-inc/china-stock-sector-strategyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://push2.eastmoney.com/api/qt/clist/get?Audited Apr 17, 2026 · audit v1.0
Generated Oct 6, 2026
Quant analysts and retail traders run the script with 1D to generate a daily snapshot of East Money industry and concept sector performance, then use the JSON payload to identify leading and lagging sectors for next-day watchlists. It replaces manual browsing of multiple finance pages with a single structured call.
Investment advisory teams embed the skill in an LLM agent that answers questions like 'which concepts are strongest today' by invoking the script and combining results with web_search for news context. The agent produces concise sector strategy briefs without requiring proprietary data access.
Quantitative developers use the daily sector snapshot as a feature source for momentum or mean-reversion strategies. The JSON payload can be stored in a local database and joined with historical prices to evaluate whether sector strength predicts future returns.
Media platforms run the skill on a schedule to produce daily sector performance summaries for newsletters, apps, or social posts. Editors review the generated content and add commentary, saving hours of manual data collection.
Portfolio managers integrate the skill into monitoring systems to detect when sectors heavily represented in their holdings underperform. Automated alerts trigger portfolio reviews or hedging actions based on changes in the sector snapshot.
A SaaS platform offers daily A-share sector analytics powered by this public-data skill, with premium tiers for alerts, history, and custom screening. The low data dependency keeps operating costs minimal while providing recurring subscription revenue.
An existing AI assistant or brokerage app sells an add-on pack that includes sector strategy analysis, using the skill as the data engine. The add-on increases user engagement and justifies a higher platform fee or per-query charge.
Developers resell access to the structured sector JSON through a paid API with rate limits and historical archives. Customers embed the API into their own trading bots, research tools, or media products.
💬 Integration Tip
Call the script with a timeframe argument like '1D' and parse the JSON fields; cache results daily to avoid rate limits. Combine with web_search/web_fetch sparingly to enrich outputs without slowing down the workflow.
Scored Oct 6, 2026
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