alphafactoryx
Financial data API for US equity research: SEC EDGAR filings, Seeking Alpha articles/ratings/financials, Stock News sentiment, Polygon News AI insights, X/Twitter sentiment, FRED macro indicators, and OHLCV price data for ~2000 stocks.
Why use this skill?
Integrate real-time financial data with AlphaFactoryX. Access SEC filings, Seeking Alpha, stock sentiment, and FRED indicators via MCP for advanced equity research.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/haiyang0932/alphafactoryxWhat This Skill Does
AlphaFactoryX is a robust financial intelligence suite designed to integrate institutional-grade market data directly into your OpenClaw agent workflow. By leveraging the Model Context Protocol (MCP), it provides seamless access to a vast repository of US equity data. It covers core SEC EDGAR filings for deep fundamental research, Seeking Alpha's market-leading analysis and ratings, real-time stock news sentiment, AI-driven insights from Polygon, social sentiment tracking via X/Twitter, and essential macroeconomic indicators from the Federal Reserve (FRED). With coverage of approximately 2,000 US equities, this skill transforms your agent into a sophisticated financial analyst, capable of pulling complex filings, checking macro trends, and performing sentiment analysis in seconds.
Installation
Installation is handled directly through the OpenClaw CLI. Run the following command: clawhub install openclaw/skills/skills/haiyang0932/alphafactoryx. After installation, you must obtain a free API token from http://ictree.com. Set this token as an environment variable named ALPHAFACTORYX_MCP_TOKEN. Finally, append the configuration block provided in the documentation to your openclaw.json file. Ensure that the Authorization header in the configuration reflects your valid token to establish the streamable-http connection.
Use Cases
This skill is ideal for quantitative and fundamental research. Use it to scan for specific financial disclosures in 10-K or 10-Q filings without leaving your workspace. Institutional investors can utilize the Seeking Alpha integration to track author sentiment and rating changes. Data scientists can build sentiment pipelines by aggregating X/Twitter and Stock News data against price movement. It is also perfect for macro-economic analysis, allowing you to pull FRED indicators to inform asset allocation strategies or risk assessment models.
Example Prompts
- "Analyze the latest 10-K for NVIDIA and summarize the management's primary revenue growth drivers mentioned in the filing."
- "Get the current market sentiment and news summary for Tesla (TSLA) and compare it against the latest Seeking Alpha ratings."
- "Fetch the latest FRED macro indicator data and tell me how the current interest rate environment might impact the tech sector."
Tips & Limitations
Note that full-text filing retrieval via edgar_filing is subject to a 50K character limit per request to maintain performance; for larger documents, utilize the edgar_search tool to isolate specific sections. The toolset is strictly limited to approximately 2,000 stocks, which includes major US equities but may exclude niche micro-cap stocks. Always check the get_archive_stats tool first to verify if the symbols you are researching are currently active in the database. Ensure your network has access to the MCP endpoint mcp.ictree.com to prevent connection timeouts.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-haiyang0932-alphafactoryx": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access