Lava
Monitor and analyze news heat, institutional sentiment, and trending concepts across China's A-share stock market via structured read-only endpoints.
Lava provides structured, read-only market intelligence on China's A-share equities and concept sectors, designed specifically for AI agents and quantitative trading systems. By aggregating discussions, institutional mentions, and market commentary, it surfaces critical momentum metrics, concept rankings, and first-mention alerts without transmitting raw copyrighted news text. Accessible via a hosted Streamable HTTP endpoint using API keys or OAuth 2.1, it seamlessly integrates with modern agent workflows to provide real-time and historical sentiment factors for financial research.
주요 기능
01Tracks market-wide and concept-level news heat metrics across customizable time windows from 1 hour to 7 days
02Delivers daily historical heat panels and rolling institutional coverage metrics optimized for quantitative backtesting
03Provides momentum tracking tools including acceleration rankings based on daily, 3-day, and z-score heat changes
04Offers point-in-time and historical institutional and KOL scoring to weight heat analysis by credible market sources
05Surfaces first-mention alerts identifying stocks appearing in institutional commentary for the first time in 7 days
06100 GitHub stars
사용 사례
01Equipping AI research agents with market-wide hot stocks, trending sectors, and new narrative discoveries
02Backtesting equity trading strategies against historical daily mentions, coverage breadth, and weighted institutional heat
03Supplying quantitative trading models with sentiment and momentum factors based on A-share institutional commentary