什麼是 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.
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閱讀答案 → 知識庫 · 8 個問題常見
常見
問題。
Answers about StratCraft, AI-assisted quantitative research, local execution, evidence, and capability boundaries. 先閱讀此處。 然後查看演進頁面或對比平台。
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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.
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閱讀答案 →使用 StratCraft 需要懂 C++ 嗎？
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.
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閱讀答案 →平台 與效能。
它與 TradingView 或 Pine Script 有什麼不同？
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.
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詳情 →它是一個雲平台嗎？
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.
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詳情 →什麼是「信號工廠」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.
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詳情 →架構 與生態。
StratCraft 開源嗎？
執行核心和商業功能是專有的，但我們提供開源 SDK，並將策略導出為標準的 Python/C++。
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詳情 →StratCraft 在交易平台演進史中處於什麼位置？
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.
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詳情 →教育性參考。 上面的答案描述了 StratCraft 目前的運作方式以及其設計背後的原則。它們不構成投資建議 過去的回測結果不保證未來表現。 在投入資金前，請始終通過 walk-forward 和樣本外測試驗證策略。
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看看 StratCraft 在平台時間線上的位置，或者和你已經在用的平台做一對一比較。