Intelligent Stocks Screener
Low Risk基于东方财富数据库，支持通过自然语言输入筛选A港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。Natural language screener for investment...
Editorial assessment
Where Intelligent Stocks Screener fits
Intelligent Stocks Screener is currently positioned as a developer tools skill for engineering teams running repository, CI, and issue workflows. Based on the available metadata, the core job to be done is straightforward: 基于东方财富数据库，支持通过自然语言输入筛选a港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。natural language screener for investment.
The current description adds a practical clue about how the skill behaves in the field: 基于东方财富数据库，支持通过自然语言输入筛选a港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。natural language screener for investment... latest version: 1.0.12 source: https://clawhub.ai/financial ai analyst/mx stocks screener. Combined with a CLI-based install path, this makes Intelligent Stocks Screener easier to evaluate than pages that only list a name and external link.
Intelligent Stocks Screener can usually be trialed quickly, as long as the source and permissions still get reviewed. No explicit permission list is published in the current record, so verify the runtime surface in the source repository before rollout.
Best fit
engineering teams running repository, CI, and issue workflows
Install surface
Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-stocks-screener
Source signal
Public source link available
Workflow tags
Ashare, Financial, and Portfolio
Adoption posture
Install command documented
Risk review
Can usually be trialed quickly, as long as the source and permissions still get reviewed
Install Command
Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-stocks-screenerBest-fit workflows
Intelligent Stocks Screener is best evaluated in developer tools environments where 基于东方财富数据库，支持通过自然语言输入筛选a港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。natural language screener for investment
Shortlist it when your team is actively comparing options for ashare, financial, and portfolio workflows
Use a disposable workspace for the first pass so you can confirm the install flow, repository quality, and downstream permissions before broader adoption
About
基于东方财富数据库，支持通过自然语言输入筛选A港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。Natural language screener for investment... Latest version: 1.0.12 Source: https://clawhub.ai/financial-ai-analyst/mx-stocks-screener
Rollout checklist
Review the source repository at https://clawhub.ai/financial-ai-analyst/mx-stocks-screener and confirm the README, maintenance activity, and install notes are still current.
Run `Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-stocks-screener` in a disposable environment first so you can confirm package resolution, dependencies, and rollback steps.
Capture the permissions and runtime surface during the first install, because the current record does not yet publish a detailed permission map.
Map Intelligent Stocks Screener against the rest of your stack in ashare, financial, and portfolio workflows so the team knows whether it is a standalone tool or a supporting utility.
FAQ
What does Intelligent Stocks Screener help with?
Intelligent Stocks Screener is positioned as a developer tools skill. Based on the current summary and tags, it is most relevant for engineering teams running repository, CI, and issue workflows, especially when the workflow requires 基于东方财富数据库，支持通过自然语言输入筛选a港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。natural language screener for investment.
How should I evaluate Intelligent Stocks Screener before using it in production?
Start by running Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-stocks-screener in a disposable environment, then review the source repository, permission surface, and any workflow-specific dependencies before wider rollout.
Why does this page include editorial guidance instead of only the upstream docs?
ClawList is trying to make each skill page more useful than a bare directory listing. That means surfacing practical signals like the install surface, source link, permissions, workflow fit, and rollout considerations in one place.
Who is the best first user for Intelligent Stocks Screener?
The best first evaluator is usually the operator or engineer already responsible for developer tools workflows, because they can verify whether Intelligent Stocks Screener matches the current stack, risk tolerance, and maintenance expectations.