Inside `sngyai/Sequoia-X`: An AI-Friendly Workflow for Automated A-Share Screening

Description and use

Sequoia-X showcases a fully automated A-share screening cycle, from data collection to technical filtering and Feishu notifications after market close.

Problem

Automating the scanning of A-share markets for technical patterns and delivering results after market close.

Outcome

The project demonstrates a complete automation loop for A-share screening, enabling repeatable, observable workflows that can be adapted for production with additional safeguards.

Workflow

• Clone the repository and set up the environment
• Configure market-data credentials and Feishu webhook via environment variables
• Run the automated screening workflow after market close
• Review results in Feishu and within the developer workflow

Evidence

The project focuses on a practical problem: scanning A-share markets for technical patterns, running the workflow automatically after the market closes, and pushing results to Feishu.

Source

Things to watch before production use: Technical signals can be noisy, delayed, or affected by incomplete data.

Source