{"data":{"cate":"post","html":"\n
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\n 778<\/span>\n 13<\/span>\n 12<\/span>\n <\/div>\n <\/div>\n
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\n 小市值优选与趋势跟踪策略<\/a>\n 2025-05-12<\/span>\n <\/div>\n
\n 808<\/span>\n 13<\/span>\n 12<\/span>\n <\/div>\n <\/div>\n
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\n 多策略组合9.01 简化改写版<\/a>\n 2025-04-30<\/span>\n <\/div>\n
\n 1653<\/span>\n 21<\/span>\n 23<\/span>\n <\/div>\n <\/div>\n
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\n 优秀可实盘的低回撤小市值策略<\/a>\n 2025-04-16<\/span>\n <\/div>\n
\n 629<\/span>\n 11<\/span>\n 10<\/span>\n <\/div>\n <\/div>\n
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\n 小市值资金量灵活调整策略<\/a>\n 2025-04-14<\/span>\n <\/div>\n
\n 327<\/span>\n 6<\/span>\n 9<\/span>\n <\/div>\n <\/div>\n
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\n ETF择时轮动策略-买入股票数量优化<\/a>\n 2023-05-16<\/span>\n <\/div>\n
\n 1989<\/span>\n 63<\/span>\n 24<\/span>\n <\/div>\n <\/div>\n
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\n 基于XGBoost选股的小市值策略<\/a>\n 2023-03-30<\/span>\n <\/div>\n
\n 3172<\/span>\n 134<\/span>\n 42<\/span>\n <\/div>\n <\/div>\n
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\n LASSO回归选股的小市值策略<\/a>\n 2023-03-29<\/span>\n <\/div>\n
\n 1818<\/span>\n 73<\/span>\n 13<\/span>\n <\/div>\n <\/div>\n
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\n 岭回归选股的小市值策略<\/a>\n 2023-03-29<\/span>\n <\/div>\n
\n 1198<\/span>\n 73<\/span>\n 15<\/span>\n <\/div>\n <\/div>\n
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\n 逻辑回归选股的小市值策略<\/a>\n 2023-03-28<\/span>\n <\/div>\n
\n 1021<\/span>\n 33<\/span>\n 18<\/span>\n <\/div>\n <\/div>\n
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\n AI生成5因子组合小市值策略优化<\/a>\n 2023-03-28<\/span>\n <\/div>\n
\n 2434<\/span>\n 72<\/span>\n 32<\/span>\n <\/div>\n <\/div>\n
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\n SVR选股的小市值策略<\/a>\n 2023-03-28<\/span>\n <\/div>\n
\n 1782<\/span>\n 81<\/span>\n 19<\/span>\n <\/div>\n <\/div>\n
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\n 线性拟合获得AI生成多因子策略的因子系数-学习稿<\/a>\n 2023-03-12<\/span>\n <\/div>\n
\n 1511<\/span>\n 18<\/span>\n 22<\/span>\n <\/div>\n <\/div>\n
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\n SVM多因子选股策略分享（有优化空间）<\/a>\n 2023-03-12<\/span>\n <\/div>\n
\n 895<\/span>\n 17<\/span>\n 16<\/span>\n <\/div>\n <\/div>\n
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\n 【机器学习研究】动态多因子选股策略研究<\/a>\n 2023-03-12<\/span>\n <\/div>\n
\n 2289<\/span>\n 24<\/span>\n 52<\/span>\n <\/div>\n <\/div>\n
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\n 【基础研究操作】获取股票(含龙虎榜)数据及图形分析<\/a>\n 2023-03-12<\/span>\n <\/div>\n
\n 608<\/span>\n 24<\/span>\n 12<\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n"},"status":"0","code":"00000","msg":""}