Performs deep research and automated financial signal tracking to identify market trends and structured insights.
The DeepEar Analysis Skill empowers users to automate the complex process of financial research by aggregating data from diverse sources including news, social media, and technical platforms. It leverages a specialized workflow to analyze market signals, allowing Claude to provide deep, evidence-based insights into specific sectors or topics. Whether tracking the A-share tech sector or performing wide-scale market sentiment analysis, this skill streamlines the transition from raw data collection to structured financial intelligence through a high-concurrency API-driven workflow.
주요 기능
0150 GitHub stars
02Support for incremental updates to existing research using market data logic
03High-concurrency data processing for rapid insight generation
04Integrated API workflow for monitoring job status and retrieving structured reports
05Automated multi-source financial signal tracking across news and social media
06Configurable analysis depth and breadth for tailored research results
사용 사례
01Monitoring specific market sectors like the A-share tech industry for emerging trends
02Performing deep research on specific investment topics with automated data gathering
03Aggregating sentiment and news signals from financial, social, and tech sources
