us-daily-market-data

Automates gathering and structuring daily US market data for institutional reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/yy611185/openclaw-daily-report1 --skill us-daily-market-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-daily-market-data
Source: https://github.com/yy611185/openclaw-daily-report1/tree/main/skills/us-daily-market-data
Command: npx skills add https://github.com/yy611185/openclaw-daily-report1 --skill us-daily-market-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

获取美股每日全量市场数据的过程复杂且容易出错。本技能提供每日全量市场事实数据,帮助投资研究团队快速形成可靠的市场快照,减少手工整合时间。

Core Features & Use Cases

  • 自动聚合:收集并对比主要指数、风格对比、11个行业板块 ETF、宏观指标(债券/美元/商品/加密)以及市场广度等关键数据。
  • 场景覆盖:可用于日常投研、机构研究报告的快照生成,以及对比分析和趋势监测。
  • 数据质量:输出结构化数据,方便下游分析和报告撰写。

Quick Start

在每日分析中,调用本技能获取并汇总美股主要指数、风格对比、11个板块 ETF、宏观指标及市场广度,生成可直接用于机构报告的市场快照。

Frequently Asked Questions about us-daily-market-data

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

FAQPage Schema
How do I automate gathering US daily market data for institutional research reports?

Yes, you can generate daily US market snapshots by aggregating indices, style contrasts, sector ETFs, macro indicators, breadth, and Mag7 stocks. The process structures this data into a payload ready for institutional reports, ensuring data provenance and flagging anomalies.

What specific market data is included in a daily US market snapshot for investment research?

A daily US market snapshot includes major indices, style contrasts, 11 sector ETFs, macro indicators covering bonds and commodities, market breadth, and Mag7 stocks. This structured payload provides comprehensive facts for institutional analysis and trend monitoring.

How do I track market breadth and macro indicators for US stock indices?

Tracking market breadth and macro indicators requires aggregating data across bonds, currencies, and commodities alongside US stock indices. The process structures these metrics into a unified payload, flagging anomalies for accurate trend monitoring.

Can I use automated data aggregation for daily Mag7 stocks and sector ETF analysis?

Yes, automated data aggregation applies to daily Mag7 stocks and 11 sector ETFs. It structures the collected data into a standardized format, ensuring data provenance and anomaly flagging for reliable institutional market comparisons.

What is the best way to structure US market data for ready-to-use institutional reports?

The best way to structure US market data is by automating the collection of indices, style, sectors, macro, and breadth metrics into a single payload. This ensures data provenance and anomaly flagging, producing a ready-to-use snapshot for institutional reports.

Does this market data aggregation approach flag anomalies in daily stock indices and macro data?

Yes, the market data aggregation process flags anomalies while structuring daily stock indices and macro data. It ensures data provenance and outputs a structured payload, helping investment teams quickly identify irregularities in market snapshots.