Eastmoney Dragon-Tiger Board Data Extractor

Problem

Dragon-Tiger Board data often spans a list endpoint and per-stock detail. The board summary contains net buy amount, buy amount, selling amount, and listing reason, while the top buyer seats usually require parsing the daily trade detail linked by TRADE_ID. Manual collection can miss fields, misalign brokerage seats, or flatten one stock's multiple seats into an irregular table. eastmoney-lhb-extract targets that repetitive workflow: it fetches Eastmoney Dragon-Tiger Board data, expands the top five buyer brokerage entries by buy amount, and writes a downloadable Excel file.

How It Works and Limits

The skill follows a “fetch board, resolve detail, export table” path:
- retrieves Dragon-Tiger Board records from the Eastmoney API;
- uses each record's TRADE_ID to extract the daily trade detail;
- parses the five brokerage seats with the largest buy amounts;
- generates Excel columns such as SECUCODE, stock code, stock name, trade date, close price, change percent, net buy amount, buy amount, sell amount, listing reason, and top five buyer seats.

Each stock record is expanded into five rows, one for each of the top buyer seats, with fields like buy amount, buy share of total turnover, sell amount, sell share, and net amount. It fits use cases such as reviewing seat composition, filtering by net buy or turnover ratio, and loading Dragon-Tiger Board data into spreadsheets for further analysis. It depends on Eastmoney API availability and returns the fields the API provides; it is not a trading signal model, and analysts should still verify trading rules, seat types, and relevant disclosures.