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Hello Zapier community! 👋

I'm Mohammad, a 2nd-year Mathematics & Data Science student building a commodity trading application that uses machine learning for price prediction and automated alerts.

My current architecture:
- Python backend with ML models (price forecasting)
- Real-time data ingestion from multiple APIs
- Custom alert system for trading signals
- Basic web interface for users

Where I need help:
I'm considering using Zapier to handle the "notification layer" and user workflows, but I'm unsure about the best approach:

1. Should I use Zapier's Webhooks to trigger alerts from my Python backend?
2. Could Zapier handle the multi-channel notifications (Email, SMS, Slack) better than building it custom?
3. For user onboarding workflows, would Zapier be better than building everything in-code?

Why I'm asking:
This is part of my journey into practical ML systems. I've built a recommender system before, but this trading app is my first real-time system. The intersection of ML + automation + APIs is exactly where I want to build my career.

If anyone has experience with:
- Financial data automation
- Building alert systems at scale
- ML integration with workflow tools

I'd love to hear your architecture thoughts and lessons learned!

Thanks in advance for the guidance!
Mohammad
NIT Bhopal | Mathematics & Data Science

Hi ​@REDXtreme, welcome to the Community! 🎉

Sounds like an interesting project! You’d probably be best off building an integration on our Developer Platform, especially if you want to let users use your app in their own workflows. If you’re just testing the concept for now though, you could start with Webhooks to keep things simple and then build an integration later.

Hope that helps to get you pointed in the right direction. If you run into any issues or have further questions just let us know. 🙂

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