I'm Florian.
I analyze stocks.
Background in physics engineering. The habit of following evidence wherever it leads — and dropping a model when the data says it's wrong — transfers directly to investing.
I've been running this channel because I got frustrated with finance content that mistakes storytelling for analysis. A good narrative doesn't protect your capital. A good model does.
The research is fundamental and long-term: 3 to 5 year time horizon, capital preservation as rule one, and a bias toward businesses with real moats and consistent cash generation. No trading calls. No momentum plays.
The methodology
Primary sources only
SEC filings, earnings transcripts, IR pages — not analyst summaries. Data gets cross-referenced across at least two sources before it makes it into a script.
Full DCF model
Every covered company gets a discounted cash flow model built from scratch. Assumptions are shown, sensitivity ranges are explicit.
Quant Rating
A proprietary scoring system across 30+ metrics covering business quality, valuation, and financial health. Single score, consistent methodology.
Bull and bear cases
Both get stated honestly. The bear case often gets more airtime than the bull — that's intentional.
Expected return
A specific number. Not "looks cheap" or "has upside potential." A percentage, based on the model.