???? I automated my Bitcoin DCA strategy in a weekend using n8n and AI – my first workflow project

Hey folks! Just wanted to share something I built over a weekend that turned out to be way more useful (and fun) than I expected.

It started with a random vacation thought:
"Why am I still manually checking the Fear & Greed Index every week?"

That rabbit hole led to building a full-blown automated Bitcoin DCA system using n8n and conversational AI. I didn’t write a single line of code myself – everything from the logic, workflows, and even backtesting scripts was done through AI-assisted iterations.

Here’s what I ended up with:

• ✅ Fully automated DCA logic based on Fear & Greed Index
• ???? Trend-aware profit taking logic
• ???? Backtested across 4 years of market data
• ???? Risk-focused design (not just chasing profits)

Some interesting takeaways:

• Simple DCA still shines in bull markets
• My logic-based DCA reduced bear market losses by 9-11%
• Max drawdown reduced by ~29%
• Running on Docker + n8n – production-ready in minutes

???? The coolest part? I used no-code tools + AI prompting to build something that would've taken days or weeks in traditional dev workflows.

This was my first real n8n project, so I’d love any feedback from the community:

• How do you build robust automation logic in n8n?
• Any thoughts on managing secrets / state across executions?
• How do you balance between code and no-code?

If you’re curious, I also wrote up a blog post with the details and thought process:
???? Blog link

Would love to hear what you'd automate if you had tools like this!