We Run Money. We Publish What We Learn.

The Thesis

We are in the early innings of the largest capital cycle in technology history. The AI buildout is reshaping supply chains, competitive dynamics, and capital flows across every sector — but most market participants are navigating this transition with stale frameworks and slow feedback loops.

Closelooknet exists to close that gap. We trace the constraint chains — from photoresist chemistry to advanced packaging to datacenter power — and turn structural insight into positions, signals, and advisory. Not reports that sit in inboxes. Operational intelligence that moves capital.

The difference between us and a research house: we eat what we cook. Every framework, every thesis, every trade idea runs through our own portfolios first. If we publish it, we've already acted on it.

Who This Is For

The kind of research and portfolio intelligence we produce used to live behind institutional walls — accessible only to funds with six-figure terminal budgets and dedicated analyst teams. We built Closelooknet to change that.

Our subscribers include independent investors managing their own wealth, family offices looking for an analytical edge outside the sell-side consensus, smaller institutions seeking structural research with real portfolio backing, and tech-literate professionals who understand that AI is repricing everything and want to be on the right side of the trade.

We also bridge a gap that most US-centric platforms ignore: European investors — from Switzerland to Scandinavia — who need global market intelligence with the analytical depth and operational rigour they can't find in their home markets. And American investors who are missing the opportunities outside the S&P 500.

If you're the kind of person who reads earnings transcripts, builds watchlists, and wants to know why something is moving — not just that it moved — you're our audience.

The European Edge

Operating from Germany gives us informational advantages most US-centric operations miss. European trading hours overlap with Asian semiconductor production cycles. German-language sources cover ASML, Infineon, Siemens, and SAP before English-language media picks them up. Proximity to EU regulatory developments — from the AI Act to the Chips Act — means we see policy shifts as they form, not after they've been priced in.

This isn't timezone arbitrage. It's structural information asymmetry — the kind that compounds over time and creates durable edge for investors willing to look beyond the US bubble.

The Trifecta — Pulse · Action · Engine

Most platforms separate thinking from doing. We don't. Every piece of Closelooknet output flows through the same operating system — designed to move from insight to position with minimum friction.

Engine builds the map. Pulse reads the terrain. Action moves the capital. Each layer feeds the others — and subscribers at every tier benefit from the full stack running underneath.

What Subscribers Get

Closelooknet operates on two tiers, each designed for a different type of investor.

About Thomas Look

I started in the markets in the late 1980s — risk-on trading across derivatives and stocks, deep in technical analysis and quantitative methods. I was among the first to apply AI and adaptive computational methods to stock market forecasting and trading, collaborating with researchers at London Business School and University College London. That work was published in 1996 as a chapter in Rapid Application Generation of Business and Finance Software — arguing that neural networks and emerging software technologies could estimate non-linear market relationships better than the Efficient Market Hypothesis or Random Walk models ever allowed. The thesis was right. The infrastructure wasn't there yet.

When the internet arrived, I moved to the other side of the screen. Two decades building disruptive technology businesses — the kind of companies the market is now trying to price. When a stock drops 8%, I can tell you whether it's a dip, a fade, or a structural re-rating — because I've built the kind of businesses behind those tickers.

Now I'm back in the markets with both edges. The trading discipline and quantitative instinct from life one. The insider knowledge of tech business models from life two. And the AI infrastructure that finally exists to do what I couldn't 30 years ago. Closelooknet combines the investment discipline of a focused portfolio operation, the analytical depth of a boutique advisory, and the reach of a modern publishing platform. I trade my own capital across five portfolios. Every signal I publish reflects a position I'm taking with real money. That alignment is the foundation.

Based in the Berlin-Potsdam metropolitan area, Germany. Published via Substack.