Blog
Einblicke für systematische Anleger
Ausführliche Analysen zu diszipliniertem Investieren, KI-gestützter Analyse und dem operativen Betrieb eines Privatportfolios.
Methodology
A field guide to AI stock scores
Five AI stock-scoring systems — Danelfin, Kavout Kai, Seeking Alpha Quant, Simply Wall St Snowflake, TipRanks Smart Score — read methodologically. What each one actually measures, where each one fails honest scrutiny, and a seven-question checklist for what to ask before paying.
Essay lesen →Tools
The self-directed investor’s 2026 stack
Seven tools, seven jobs. An honest tool-by-tool reading of Koyfin, Sharesight, Simply Wall St, Getquin, Parqet, Stock Rover, and Alpha Spread — and the workflow gap the European stack still leaves open.
Essay lesen →Methodology
Five things to check before trusting an AI research summary
AI can write a confident research summary in seconds. Confidence is not accuracy. A five-point checklist for deciding whether an AI-generated investment summary has earned your trust.
Essay lesen →Education
The difference between investment research and investment advice
Research and advice are two different products with two different legal definitions. A plain-English account of how they differ, why it matters for a self-directed investor, and why doing your own research is doing the work properly.
Essay lesen →Regulation
What changes for AI investing tools on 2 August 2026
Three EU AI Act provisions take effect this summer. A plain reading of what each one requires of AI investing tools, and a buyer’s checklist for what to look for if your tool is silent on any of them.
Essay lesen →Methodology
How to build a portfolio with rules you actually keep
A first-principles essay on investment rules for the retail investor — why most people break their own rules quietly, what that costs, and what an enforcement system has to look like.
Essay lesen →