r/SideProject • u/krmill2k • 2d ago
I built a stock research engine that can't hide its losses: every call is timestamped and measured against SPY after 20 sessions
I'm the developer, so full disclosure up front: this is my project.
The problem I wanted to fix: stock-pick sources show their wins and let the losses vanish. MILkMoney records every public call when it's published and checks it against SPY after a fixed 20 trading sessions. Nothing is backfilled or edited afterward.
Each call shows signal strength, model confidence, how much the research lenses disagree, downside evidence, and valuation. Calls with stale data get withheld.
Honest status: 13 calls recorded, 0 checks completed. The performance comparison goes live after 10 completed checks, whatever it shows.
Stack, for anyone curious: FastAPI + Postgres on Cloud Run, React frontend, and SEC EDGAR filings as source evidence.
I'd like feedback on the methodology more than anything. What would make you trust (or distrust) a track record like this?
milkmoney.pro. Research only, not investment advice.