I'm doing this through a systematic swing trading system that decides fully automatically what to buy and sell. Follow all the architecture, decisions, mistakes, and learnings here. Two worlds in one experiment: the technical side of AI-driven development, and the financial side of systematic investing.
Every idea I've had on the shelf for the past ten years, I'm now building with AI. Without the help of large software firms. What used to cost hundreds of thousands and require a full team, I now build myself.
This is the moment to tackle one of those old ideas at scale: a model-driven trading system that operates on the market without human intervention. Investing is my passion. AI-driven building is my exploration. This is where both come together.
My role: designing, reviewing, testing, deciding. I don't write code myself. All code is generated by AI, I steer where needed.
21 Sep 2026 · 5 min read
Post #38On a Monday morning I was logged into a server through a secure tunnel, looking at a virtual desktop, to untick a single checkbox. For the sixth time in just over three weeks.
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6 Aug 2026 · 6 min read
Post #37After roughly two months of paper trading, something about my own BUY signals started bothering me. There was too much Amsterdam in them.
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15 Jun 2026 · 3 min read
Post #36At the end of a long working day the counter stood at 644 passing tests. A nice number to look at. But the number itself is not the point. The point is what those tests do on a day when I am tired, in a hurry, or overlook something.
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A daily multi-factor trading system. Scores US and NL stocks on 13 factors and decides when to enter and when to exit. Paper test completed (May to September 2026). It now continues as a signal function: the system gives the signals, I execute by hand.
How do you build this as a non-programmer? Which AI tools actually work, which disappoint? I share everything: the stack, the prompts, the mistakes, the workarounds.
Weekly updates on LinkedIn and on this site. Quarterly deep-dives. Mistakes are content, so are successes.
For you who's curious about AI-driven development: I show how to build a full production system with AI tools, from architecture to deployment. You'll get insight into choices where even software developers often take the wrong turn.
For you who's interested in systematic investing: I show how a multi-factor model behaves outside a backtest. First a paper test, now two tracked portfolios of 50k and 10k. Transparent, through every high and low.
For you who finds both interesting: welcome, this is where it comes together.