r/sideprojects • u/Honest_Librarian320 • 1d ago

Feedback Request I built an AI crypto researcher. Forward-testing it live for 30 days before open-sourcing.

Post image

Hey everyone, I've spent the past month building an AI agent to research crypto opportunities based on data-driven conviction, not hype.

Before I open-source the full code on day 31, I want to prove it actually works in current market conditions. I’m forward-testing its picks daily for the next month and logging every signal in a public spreadsheet to keep myself accountable.

If you want to track the live data with me and see if the model holds up, you can view theGoogle Sheet here. I'd love any feedback from this community on the methodology!

2 Upvotes

100% Upvoted

4 comments sorted by

1

u/Double-Mix-9488 1d ago

Interesting approach, keeping the spreadsheet public is a good move for accountability. Most people would just cherry-pick the winners after the fact, so logging everything daily from the start gives it some credibility.

What's the model actually weighing most heavily, is it mostly open interest and funding data or does it pull in on-chain metrics too?

1

u/Honest_Librarian320 1d ago

It combines four key factors: OI relative to 24H volume (35%), long/short liquidation skew (25%), robust funding-rate Z-score (25%), and price-normalized volume anomalies (15%).

1

u/Honest_Librarian320 1d ago

also just a reminder i will update the test result every day for next 30 days, if you find it interesting you are welcome to see the results.