market-sentinel

Aggregate four market evidence sources into a sentiment score and phase assessment.

50|17|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/shaoxing-xie/openclaw-data-china-stock --skill market-sentinel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-sentinel
Source: https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/market-sentinel
Command: npx skills add https://github.com/shaoxing-xie/openclaw-data-china-stock --skill market-sentinel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Market sentiment for the Chinese equity market is often fragmented across multiple sources. Market sentinel aggregates four sources—涨停生态、资金流向、北向资金、板块结构—to produce a single, explainable sentiment score and a phase assessment for risk framing, not trading signals.

Core Features & Use Cases

  • Four-source aggregation: combines涨停生态, fund-flow, northbound flow, and sector data into a unified sentiment metric and stage.
  • Explainable results: provides sub-scores, factor attribution, and counterevidence to support decisions.
  • Data quality handling: surfaces data_completeness and degraded outputs when data is incomplete.

Quick Start

Invoke market-sentinel to retrieve the current sentiment score, phase, and counterevidence using default settings.

Frequently Asked Questions about market-sentinel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate market sentiment and fund flow data for the Chinese stock market?

Market sentiment aggregation combines limit-up ecosystem, fund flow, northbound flow, and sector data into a unified sentiment score. It handles missing data gracefully to avoid degraded outputs while providing sub-scores and factor attribution.

What is the best way to assess short-horizon market sentiment and phase for risk analysis?

The best way to assess short-horizon market sentiment is aggregating four evidence sources into a structured overall score and phase assessment. This supports daily risk framing by explaining evidence and counterevidence without issuing trading instructions.

How do I handle missing data when calculating composite market sentiment scores?

When calculating composite market sentiment scores, missing data is handled gracefully to avoid degraded outputs. The system surfaces data completeness metrics and respects configurable weights to maintain output integrity across the four aggregated sources.

Can I customize the weights for northbound flow and sector data in a market sentiment analysis?

Yes, you can customize the weights for northbound flow, sector data, fund flow, and limit-up ecosystem components. The aggregation respects configurable weights to calculate the overall structured sentiment score and phase assessment.

Does the market sentiment aggregation provide explainable results or just a single score?

Market sentiment aggregation provides explainable results, not just a single score. It includes sub-scores, factor attribution, and counterevidence alongside the overall phase assessment to support transparent risk framing decisions.