Qu'est-ce que StratCraft ?
StratCraft is an AI-native quantitative research application. Its Open Research Foundation supports human-controlled local research, while Commercial Quant Lab adds separately admitted advanced capabilities.
Answers about StratCraft, AI-assisted quantitative research, local execution, evidence, and capability boundaries. À lire en premier. Explorez ensuite la page Évolution ou comparez les plateformes directement.
StratCraft is an AI-native quantitative research application. Its Open Research Foundation supports human-controlled local research, while Commercial Quant Lab adds separately admitted advanced capabilities.
Community AI Studio supports loginless direct BYOK or a supported local model. Optional hosted inference is disclosed separately. Generated C++ returns to the desktop as an inspectable Artifact for user-approved validation and backtesting.
No. Users can work through Guide WebUI, typed MCP tools, SDKs, examples, and imports. C++23 runs local validation and backtesting, and generated C++ strategies remain inspectable.
TradingView is a charting-first platform centered on Pine Script, alerts, and community indicators. StratCraft focuses on AI-assisted authoring, local C++23 research execution, inspectable evidence, and a governed multi-candidate workflow.
StratCraft is local-first, not local-only. Community AI Studio supports loginless direct BYOK or a supported local model. Optional hosted inference and separately admitted Commercial capabilities remain explicit boundaries.
The research-library model keeps multiple candidates, experiments, evidence, and rejection reasons connected. Users compare transparent baselines, inspect evaluation evidence, and decide what to retain or test next; candidate volume does not establish quality.
Le cœur d'exécution est propriétaire, mais nous fournissons des SDK open source et exportons les stratégies en Python/C++ standard.
StratCraft represents an AI-assisted layer above earlier scripted, framework, and hosted-platform generations. AI helps create and explain research artifacts, while users define constraints, approve operations, review evidence, and decide the next iteration.
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