mx-finance-data基于东方财富数据库,支持自然语言查询金融数据,覆盖A港美、基金、债券等多种资产,含实时行情、公司信息、估值、财务报表等,可用于投资研究、交易复盘、市场监控、行业分析、信用研究、财报审计、资产配置等场景,适配机构与个人多元需求。返回结果包含数据说明及 xlsx 文件。Natural language query f...
Install via ClawdBot CLI:
clawdbot install financial-ai-analyst/mx-finance-dataGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://ai.eastmoney.com/mxClaw`)签发,用于其接口鉴权。Audited Apr 17, 2026 · audit v1.0
Generated Mar 29, 2026
Analysts can query real-time market data, financial statements, and valuation metrics for A-shares, ETFs, and global stocks to evaluate investment opportunities. The skill supports multi-entity and multi-indicator queries, enabling comparative analysis across assets for informed decision-making.
Quantitative traders use historical and real-time data to test trading strategies across different markets, including stocks and bonds. The skill provides structured data outputs in Excel format, facilitating performance analysis and optimization of algorithmic models.
Financial institutions monitor live price movements, technical indicators, and sector performance to track market trends and manage risk. The skill offers L1/L2 data and real-time queries, supporting daily surveillance and alert systems for portfolio management.
Researchers analyze financial ratios, revenue trends, and competitive landscapes across industries using data from companies and indices. The skill enables multi-entity queries to compare peers and assess sector health for reports and audits.
Credit analysts evaluate bond issuers and non-public companies by accessing financial statements and risk indicators. The skill supports queries for bonds and corporate data, aiding in credit scoring and default probability assessments.
Offer tiered subscription plans for individuals and institutions to access the financial data hub, with higher tiers providing increased query limits and premium datasets. Revenue is generated through monthly or annual fees based on usage and data depth.
Provide customized enterprise licenses to financial firms, integrating the skill into their internal systems for investment research and trading platforms. Revenue comes from one-time setup fees and ongoing support contracts tailored to client needs.
Sell structured data outputs, such as Excel files and reports, to clients who require specific financial insights without direct API integration. Revenue is generated per query or through bulk data packages for research and analysis.
💬 Integration Tip
Ensure the EM_API_KEY is securely configured as an environment variable and install required Python dependencies like httpx and pandas before use.
Scored Jun 30, 2026
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...
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