Publications
Recherches sur les agents IA, backtests et audits de prévisions de marché, et architecture de la plateforme.
Pièges des modèles
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 de lecture8 sections
Évaluation des prévisions
A rigorous framework for comparing forecasting models without bias — covering evaluation protocols, metrics, baselines, and statistical significance tests.
7 min de lecture9 sections
Marchés prédictifs
Learn what the wisdom of crowds means in forecasting, why aggregated judgment outperforms experts, and how it applies to markets and AI.
7 min de lecture7 sections
Pièges des modèles
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 de lecture8 sections
Crypto et marchés
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 de lecture10 sections
Pièges des modèles
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 de lecture8 sections
Évaluation des prévisions
Learn how to measure and interpret forecast uncertainty using confidence intervals, scenario analysis, calibration scoring, and AI-driven ensemble methods.
7 min de lecture7 sections
Pièges des modèles
A technical breakdown of how modern AI models handle financial time series — from raw price feeds to pattern recognition, uncertainty, and transparency.
8 min de lecture9 sections
Crypto et marchés
Learn how to read on-chain market signals — exchange flows, wallet activity, MVRV, and more — to build clearer, more transparent market context.
8 min de lecture7 sections
Raisonner en probabilités
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 de lecture10 sections
Pièges des modèles
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 de lecture8 sections
Pièges des modèles
Learn how ensemble models combine multiple algorithms to produce smarter financial predictions — and why transparency in AI-driven markets matters.
7 min de lecture9 sections
