Publikationen
Forschung zu KI-Agenten, Backtesting und Prüfung von Marktprognosen sowie zur Architektur der Plattform.
Fallstricke von Modellen
Data leakage in ML quietly inflates accuracy and destroys real-world performance. Learn what it is, why it happens, and how to detect and prevent it.
7 Min. Lesezeit8 Abschnitte
Prognosen bewerten
A rigorous framework for comparing forecasting models without bias — covering evaluation protocols, metrics, baselines, and statistical significance tests.
7 Min. Lesezeit9 Abschnitte
Prognosemärkte
Learn what the wisdom of crowds means in forecasting, why aggregated judgment outperforms experts, and how it applies to markets and AI.
7 Min. Lesezeit7 Abschnitte
Fallstricke von Modellen
Learn what a confusion matrix is, how to read one, and why it matters more than accuracy alone when evaluating machine learning models.
6 Min. Lesezeit8 Abschnitte
Krypto und Märkte
Learn how market depth and order books work, why they matter for any trader, and how to read the signals hidden in real-time order flow.
8 Min. Lesezeit10 Abschnitte
Fallstricke von Modellen
Learn what feature importance means in AI trading models, why it matters for transparency, and how to interpret it without being a data scientist.
8 Min. Lesezeit8 Abschnitte
Prognosen bewerten
Learn how to measure and interpret forecast uncertainty using confidence intervals, scenario analysis, calibration scoring, and AI-driven ensemble methods.
7 Min. Lesezeit7 Abschnitte
Fallstricke von Modellen
A technical breakdown of how modern AI models handle financial time series — from raw price feeds to pattern recognition, uncertainty, and transparency.
8 Min. Lesezeit9 Abschnitte
Krypto und Märkte
Learn how to read on-chain market signals — exchange flows, wallet activity, MVRV, and more — to build clearer, more transparent market context.
8 Min. Lesezeit7 Abschnitte
In Wahrscheinlichkeiten denken
Forecasting and prediction are not the same thing. Learn the critical distinctions and why they matter when evaluating AI tools in financial markets.
7 Min. Lesezeit10 Abschnitte
Fallstricke von Modellen
Learn what model interpretability means in machine learning, why it matters for trust and control, and how it shapes the future of AI-driven decisions.
8 Min. Lesezeit8 Abschnitte
Fallstricke von Modellen
Learn how ensemble models combine multiple algorithms to produce smarter financial predictions — and why transparency in AI-driven markets matters.
7 Min. Lesezeit9 Abschnitte
