Stock Market Scanner in Python

I need a complete stock-market scanner built primarily in Python, though you’re welcome to introduce AI techniques if they add real value. The tool has to pull live quotes through my broker’s API, process and filter them in real time, look back through historical data for context, and trigger alerts whenever my conditions are met.

Core functionality
• Real-time data scanning via the broker’s API I will provide
• Historical data retrieval and analysis for quick back-testing
• Custom alert engine able to push desktop, e-mail, or Telegram notifications

I’d like the screening rules to live outside the code—JSON, YAML, a simple GUI, or a Jupyter notebook interface—so I can tweak them without touching the core logic. Feel free to lean on pandas, NumPy, ta-lib, or TensorFlow/PyTorch where appropriate, as long as setup stays straightforward on Windows.

Deliverables
1. Clean, well-commented source code with requirements.txt
2. Step-by-step guide showing installation, API connection, and sample back-test
3. Proof of operation (screenshots or a short demo video)

I will mark the job complete once I see the scanner pick up a live price movement and a historical test that matches the same rule set.