Сигналы из четырёх источников: классические, факторы, ML, AI-гипотезы.
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.
Объедините классические стратегии (open-source библиотеки, опубликованные системы, TradingView, ваши собственные), квантовые факторы, ML-модели и гипотезы, сгенерированные LLM. Одна идея превращается в популяцию кандидатов, а не в единственную стратегию, написанную вручную.
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.
Каждый модуль в трехуровневом конвейере. От агрегации из четырёх источников до исполнения C++23 и статистической композиции.
Исследовать →Architecture evolution, workload-specific benchmark evidence, and local execution boundaries.
Исследовать →Уровень бесплатного пользования включает механизм бэктестинга C++, обнаружение режима и данные YFinance + Dukascopy: все, что вам нужно, чтобы начать масштабное строительство.