A-Share Daily Market Review
Generates institutional-grade daily A-share post-market review reports combining QuantDB metrics, news sentiment, and machine learning inference signals.
The daily-review skill automates institutional-quality post-market reviews for the Chinese A-share equity market using local QuantDB data, real-time news sentiment scoring, and machine learning inference signals. Designed for QuantMind trading setups, it executes data extraction scripts across host and container environments, analyzes index breadth, limit-up ladders, and L1/L2 microstructures, evaluates model prediction accuracy, and calculates a weighted six-dimensional direction forecast for the next trading day. It automatically produces standardized Markdown and research-grade PDF reports deposited into front-end viewing directories alongside concise chat summaries, making it indispensable for quantitative researchers and active equity traders closing out daily sessions.