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Proactive Stock Workflow Orchestrator icon

Proactive Stock Workflow Orchestrator

AI Agent Updated 2026.08.29

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About this skill

Problem

Many stock workflows stop at repeated manual prompts: a user wants pre-market summaries, 5 candidate stocks, risk checks, or manual order updates, but each run is triggered by hand and often only writes local files. This skill addresses turning one-off requests into durable, inspectable workflows.

How It Works

It maps intent to recurring task types such as generate_daily_report.py, a_share_daily_report_latest.md, risk monitoring, or order updates. It then selects scheduling: OpenClaw cron, Linux cron, or Windows Task Scheduler. It also surfaces automation gaps: local-only output, missing Telegram / webhook / email delivery, missing logs and failure alerts, or missing isolated agent config. The output favors staged roadmaps: schedule local reports first, then add an external message channel.

Limits

Without external delivery, results can only land in local files or an OpenClaw session; it should not be described as proactive push. Complex automation should be split into incremental steps.

Use Cases

  • Build a recurring workflow that generates pre-market summaries, candidate stocks, and position checks.
  • Turn one-off stock prompts into an OpenClaw cron job with logs and failure visibility.
  • Add Telegram or webhook delivery after local reports are generated.
  • Audit local-only, unalerted, unisolated automation and plan incremental rollout.

Best For

  • Individual investors tracking daily A-share summaries, candidate stocks, and execution plans
  • Engineers maintaining an OpenClaw stock agent with stable scheduled output
  • Strategy staff moving risk checks and manual order updates into scheduled tasks
  • Quant assistants who want local reports first, then external push channels