sngyai/Sequoia-X — reverse-engineered prompt

Build me a Python tool for A股 automatic stock picking that I can run after the market closes.

It should download and store daily A share K line data locally, support a first time full backfill, then do fast daily incremental updates after that. Use free public data if possible, and keep it in a local SQLite database so I don’t have to deal with paid APIs or anti scraping issues.

After updating the data, scan the whole market with several built in technical stock picking strategies, including turtle breakout, moving average volume breakout, high tight flag, limit up shakeout, uptrend limit down reversal, and RPS breakout. Then sort and format the results clearly.

I want two simple commands, one for the first historical backfill and one for normal daily use. The daily run should be suitable for cron after market close and should send the selected stocks to a Feishu group through a webhook from an env file.

Please make it clean, configurable, tested where reasonable, and easy to run with Python 3.10 or newer.