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research-workbench

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Local-first AI research workbench for quant. Turn a natural-language strategy idea into a reproducible, auditable backtest — factor code, Reviewer checks, charts, and research notes, all saved locally.面向本地的量化AI研究工作台。将自然语言策略想法转化为可复现、可审计的回测结果——因子代码、审核员检查、图表和研究笔记,全部保存于本地。

  • Updated Jul 5, 2026
  • Python

Reproducible corpus workbench testing Koenigsberg's Law of Sacrifice via Conceptual Metaphor Theory and LCC-style metaphor analysis across four historical cases: American Revolution, Napoleon, Lincoln, and Hitler. Quarto research site + manifest-driven Python pipeline.

  • Updated Jun 28, 2026
  • Python

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