Learn
Guides, exercises and a glossary to understand ETFs, risk metrics and how a validated AI model is built and judged.
Guides
Short explanations of the concepts behind the model and the ETFs it studies.
- UCITS ETFs for European investorsCosts, ISINs, domicile, currency and role in EUR portfolios.
- AI ETF signals for EuropeRegime, confidence, guardrails and execution with UCITS ETFs.
- Tactical allocation with UCITS ETFsSignals, weights, guardrails and execution for European portfolios.
- What is the Sharpe RatioHow it's computed, what values are good and how the model uses it.
- BULL, BEAR and NEUTRAL signals guideHow the model picks each signal and when NEUTRAL shows up.
- Walk-forward validation: avoid overfittingWhy it's more robust than a classic backtest.
- Maximum drawdown: risk toleranceWhat it measures, how to read it and why it matters more than annual return.
- DCA vs market timingWhat works better depending on horizon and investor discipline.
- Core12 versus baseline strategiesCompare the OOS model with classic portfolios like equal weight, HRP and 60/40.
Academy
Interactive exercises: change the assumptions and see how the outcome moves.
Glossary
Investing and machine-learning terms explained at three levels of depth.