{"data":{"cate":"post","html":"\n
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\n 聚宽jupyter多进程的实现<\/a>\n 2019-01-19<\/span>\n <\/div>\n
\n 1162<\/span>\n 3<\/span>\n 1<\/span>\n <\/div>\n <\/div>\n
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\n 指数择时与仓位管理策略初探<\/a>\n 2019-01-17<\/span>\n <\/div>\n
\n 4376<\/span>\n 17<\/span>\n 40<\/span>\n <\/div>\n <\/div>\n
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\n 调试(python3)——支持向量机模型(SVM)在多因子选股模型领域的应用<\/a>\n 2018-12-06<\/span>\n <\/div>\n
\n 8627<\/span>\n 45<\/span>\n 35<\/span>\n <\/div>\n <\/div>\n
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\n 用聚宽的分位回测的方法再验证一下Q<\/a>\n 2018-12-05<\/span>\n <\/div>\n
\n 1929<\/span>\n 11<\/span>\n 1<\/span>\n <\/div>\n <\/div>\n
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\n 方正聪明钱Q因子再探探<\/a>\n 2018-12-03<\/span>\n <\/div>\n
\n 4819<\/span>\n 4<\/span>\n 9<\/span>\n <\/div>\n <\/div>\n
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\n 指标误差——以MACD指标为例<\/a>\n 2018-05-17<\/span>\n <\/div>\n
\n 1636<\/span>\n 2<\/span>\n 0<\/span>\n <\/div>\n <\/div>\n
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\n HS300--随机森林拐点识别<\/a>\n 2018-05-16<\/span>\n <\/div>\n