The system
A daily multi-factor trading system. Scores US and NL stocks on 13 proven factors, decides when to enter, when to exit. Live with €10,000 of my own money from late June 2026.
I'm doing this through a fully automated trading system that runs live with my own money. 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.
9 Jun 2026 · 6 min read
Post #31As of today, you can watch along. The playitsmart live dashboard is open, no password, for everyone. You see the positions, the signals, the market regime and the results, in near real time. The amounts too. Also on the days when it goes badly.
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9 Jun 2026 · 3 min read
Post #32On Monday morning, a sold position refused to close. The system saw a stock it had sold the previous Friday, but in the database the position was still open. That stopped the entire morning run before a single order could be placed.
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28 May 2026 · 3 min read
Post #30A question I get often: which tools actually run this? Time to open the hood. This is the full stack behind playitsmart.nl, and more importantly, why it is exactly these choices.
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A daily multi-factor trading system. Scores US and NL stocks on 13 proven factors, decides when to enter, when to exit. Live with €10,000 of my own money from late June 2026.
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 in the real world, not in a backtest. Transparent, with real money, through every high and low.
For you who finds both interesting: welcome, this is where it comes together.