Where Alpha
Meets Precision

Case Console didn't start as a product. It started as a personal tool — the platform I wished existed when I was studying factor models from textbooks and trying to apply them to real markets.

I'm a physics major targeting transfer to UC Berkeley, with 6+ years of prop trading experience. I study topology for fun. I train BJJ and kickboxing. I'm targeting quant internships for fall/winter 2026–2027.

When I looked at the tools available to individual traders and students, I saw a gap. A Bloomberg seat costs $30,000 a year. Capital IQ and FactSet aren't far behind. TradingView gives you charts but no factor decomposition. No forensic accounting. No Beneish M-Score. No DCF model running beside your candlestick chart. No AI that can write an IC memo from your build.

So I built it. v1 was a single HTML file with a chart engine. v7 — what you'll see today — is 15,000+ lines across 17 modules. The factor engine runs 20 models. The forensic suite catches manipulation with 5 proven scoring systems. The Risk Engine runs 2,000-path Monte Carlo VaR with Cholesky-correlated returns. The AI Strategy Builder translates plain English into working strategies using Claude Sonnet 4.

And as of v7, the Banker · IB Toolkit ships: 3-statement model, DCF with editable WACC builder, trading comps, football field, and an AI-drafted IC memo — with full Excel export using banker color conventions. Phase 2 (LBO + M&A) is in active build.

This is being built in public, by one person, with no funding round. I'm not trying to be Bloomberg — Bloomberg has supply-chain mapping and private company data we don't try to match. I'm trying to give everyone else a real analytical platform that costs less than a single Bloomberg seat per month.

— Nugget, founder · Built solo since 2025