baostock-guide

To identify potential zhuang-stocks, analyze weekly and daily K-line data to detect box-like consolidation and staged volume surges. This process computes volume ratios across a broad market to surface candidate targets exhibiting specific accumulation patterns.

Query shareholder history using Baostock data to track trend changes and infer accumulation or distribution signals. Analyzing these historical patterns helps determine whether specific shareholders are consolidating positions over time.

Yes, you can use akshare for automated batch screening and validation. The workflow retrieves data via akshare, computes volume ratios, detects surge peaks, and outputs structured results with basic error handling to support investment research.

Baostock data analysis requires pandas for data manipulation and playwright for browser automation tasks. These dependencies support the underlying scripts that retrieve data, compute volume ratios, and output structured screening results.

You should not rely on volume surge detection when basic error handling is insufficient for your validation needs, or when stocks lack sufficient weekly and daily K-line consolidation patterns to establish a reliable baseline for zhuang-stock identification.