什么是 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.
难度
阅读答案 → 知识库 · 8 个问题常见
常见
问题。
Answers about StratCraft, AI-assisted quantitative research, local execution, evidence, and capability boundaries. 先读这里。 然后查看演进页面或对比平台。
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AI 策略生成是如何工作的？
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.
难度
阅读答案 →使用 StratCraft 需要懂 C++ 吗？
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.
难度
阅读答案 →平台 与性能。
它与 TradingView 或 Pine Script 有什么不同？
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.
难度
详情 →它是一个云平台吗？
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.
难度
详情 →什么是“信号工厂”模式？
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.
难度
详情 →架构 与生态。
StratCraft 开源吗？
执行核心和商业功能是专有的，但我们提供开源 SDK，并将策略导出为标准的 Python/C++。我们相信混合模式：专业级的性能核心与交易逻辑的开放集成。
难度
详情 →StratCraft 在交易平台演进史中处于什么位置？
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.
难度
详情 →教育性参考。 上面的答案描述了 StratCraft 目前的运作方式以及其设计背后的原则。它们不构成投资建议 过去的回测结果不保证未来表现。 在投入资金前，请始终通过 walk-forward 和样本外测试验证策略。
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看看 StratCraft 在平台时间线上的位置，或者和你已经在用的平台做一对一比较。