Des signaux issus de quatre sources : classique, facteur, ML, hypothèse IA.
Bring classic strategies, factors, ML models, and AI-assisted hypotheses into an inspectable candidate set. Candidate generation does not establish validity.
Move from hypothesis to data, candidates, experiments, reproducible evidence, and the next research decision.
AI guides the workflow. You remain in control.
Product maturity is measured by evidence and governed decisions, not candidate volume.
AI connects research work while the user controls operations and decisions.
Bring classic strategies, factors, ML models, and AI-assisted hypotheses into an inspectable candidate set. Candidate generation does not establish validity.
Run approved backtests locally and preserve inputs, Artifacts, lineage, and results. Performance claims remain benchmark-specific.
Compare candidates against appropriate baselines and retain acceptance or rejection evidence. Advanced fusion remains separately admitted.
Community AI Studio supports loginless direct BYOK or a supported local model. Optional hosted inference is a separate, disclosed boundary.
Connected evidence and decisions matter more than generating a larger candidate count.
A larger search space creates more opportunities for false discoveries. StratCraft treats evidence, rejection, and research memory as first-class product responsibilities.
Réunissez des stratégies classiques (bibliothèques open source, systèmes publiés, TradingView, les vôtres), des facteurs quantitatifs, des modèles ML et des hypothèses générées par LLM. Une idée devient une population de candidats, pas une seule stratégie codée à la main.
The local C++23 engine runs approved backtests and retains inspectable results. Named data routes and performance evidence are stated per workload.
Compare surviving candidates with transparent baselines. Community includes equal-weight combination and replay; advanced fusion and decision policies are separately admitted.
Chaque module du pipeline à 3 couches. De l\'agrégation de quatre sources à l\'exécution C++23 jusqu\'à la composition statistique.
Explorer →Architecture evolution, workload-specific benchmark evidence, and local execution boundaries.
Explorer →Le niveau gratuit inclut le moteur de backtest C++, la détection de régime et les données YFinance + Dukascopy: tout ce dont vous avez besoin pour commencer à construire à grande échelle.