RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
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Updated
May 18, 2026 - Python
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
RR-Agent — 自研 A股量化研究工作台 · 因子库 · ML 选股 · CPCV/DSR 回测 · 组合优化 · 算法执行。Self-developed quantitative research workbench for China A-shares: in-house factor library, ML stock selection, CPCV+DSR-validated backtesting, industry-neutral portfolio optimization. Built on multi-source-validated ReachRich data. 不构成投资建议。
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