{"data":{"cate":"post","html":"\n
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\n 机器学习5折保形回归-V3-框架研究<\/a>\n 2025-12-20<\/span>\n <\/div>\n
\n 1833<\/span>\n 8<\/span>\n 26<\/span>\n <\/div>\n <\/div>\n
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\n 深度强化学习微盘策略-TINs-DQN模型-自存研究<\/a>\n 2025-12-19<\/span>\n <\/div>\n
\n 1049<\/span>\n 5<\/span>\n 11<\/span>\n <\/div>\n <\/div>\n
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\n 机器学习微盘-Transformer融合模型策略-自存研究<\/a>\n 2025-12-18<\/span>\n <\/div>\n
\n 1124<\/span>\n 10<\/span>\n 24<\/span>\n <\/div>\n <\/div>\n
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\n 活跃小市值策略-跃跃小狮子<\/a>\n 2025-12-17<\/span>\n <\/div>\n
\n 1648<\/span>\n 4<\/span>\n 34<\/span>\n <\/div>\n <\/div>\n
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\n 机器学习微盘-Transformer融合模型策略<\/a>\n 2025-12-16<\/span>\n <\/div>\n
\n 1391<\/span>\n 15<\/span>\n 31<\/span>\n <\/div>\n <\/div>\n
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\n 深度学习微盘策略-MoFE-Time模型预训微调版<\/a>\n 2025-12-16<\/span>\n <\/div>\n
\n 1198<\/span>\n 5<\/span>\n 11<\/span>\n <\/div>\n <\/div>\n
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\n 深度强化学习微盘策略-MoFE-Time-DQN模型<\/a>\n 2025-12-15<\/span>\n <\/div>\n
\n 2018<\/span>\n 6<\/span>\n 34<\/span>\n <\/div>\n <\/div>\n
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\n 深度学习微盘策略-MVSMamba模型<\/a>\n 2025-12-14<\/span>\n <\/div>\n
\n 1055<\/span>\n 5<\/span>\n 25<\/span>\n <\/div>\n <\/div>\n
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\n 深度强化学习微盘策略-LSTMPPO模型<\/a>\n 2025-12-12<\/span>\n <\/div>\n
\n 1637<\/span>\n 3<\/span>\n 18<\/span>\n <\/div>\n <\/div>\n
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\n 深度学习微盘策略-MoFE-Time模型<\/a>\n 2025-12-11<\/span>\n <\/div>\n
\n 2357<\/span>\n 26<\/span>\n 28<\/span>\n <\/div>\n <\/div>\n
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\n 深度学习微盘策略- 时间关系Enhancer模型<\/a>\n 2025-12-10<\/span>\n <\/div>\n
\n 907<\/span>\n 6<\/span>\n 28<\/span>\n <\/div>\n <\/div>\n
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\n 强化学习ETF轮动策略-MoFE-Time-DQN模型<\/a>\n 2025-12-10<\/span>\n <\/div>\n
\n 2273<\/span>\n 30<\/span>\n 34<\/span>\n <\/div>\n <\/div>\n
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\n 深度学习微盘策略- Hermes模型<\/a>\n 2025-12-09<\/span>\n <\/div>\n
\n 1949<\/span>\n 12<\/span>\n 31<\/span>\n <\/div>\n <\/div>\n
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\n HGAT_IRL模型微盘指增策略-聚类申万二选一<\/a>\n 2025-12-08<\/span>\n <\/div>\n
\n 1130<\/span>\n 10<\/span>\n 18<\/span>\n <\/div>\n <\/div>\n
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\n 强化学习微盘策略-LSTMPPO-滚动训练-自存研究<\/a>\n 2025-12-06<\/span>\n <\/div>\n
\n 1344<\/span>\n 7<\/span>\n 19<\/span>\n <\/div>\n <\/div>\n
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\n 强化学习微盘策略-DQN-滚动训练-存储研究<\/a>\n 2025-12-06<\/span>\n <\/div>\n
\n 1288<\/span>\n 12<\/span>\n 17<\/span>\n <\/div>\n <\/div>\n
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\n AI强化学习ETF策略-LSTMPPO智能体-滚动训练<\/a>\n 2025-12-06<\/span>\n <\/div>\n
\n 2185<\/span>\n 9<\/span>\n 29<\/span>\n <\/div>\n <\/div>\n
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\n 基于HGAT_IRL逆强化学习的指增策略<\/a>\n 2025-12-05<\/span>\n <\/div>\n
\n 904<\/span>\n 10<\/span>\n 23<\/span>\n <\/div>\n <\/div>\n
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\n 深度强化学习微盘策略-LSTMPPO模型-分配资金<\/a>\n 2025-12-04<\/span>\n <\/div>\n
\n 1188<\/span>\n 10<\/span>\n 20<\/span>\n <\/div>\n <\/div>\n
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\n 深度强化学习微盘策略--LSTMPPO模型<\/a>\n 2025-12-04<\/span>\n <\/div>\n
\n 842<\/span>\n 13<\/span>\n 22<\/span>\n <\/div>\n <\/div>\n <\/div>\n