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

Описание и применение

Проект Sequoia-X демонстрирует полностью автоматизированный цикл сканирования акций A-share, включая сбор данных, применение технических фильтров и отправку результатов в Feishu после закрытия рынка.

Задача

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

Результат

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

Рабочий процесс

• 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

Доказательства

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.

Источник

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

Источник