https://blog.youkuaiyun.com/mtaxotzh-cnhttps://blog.youkuaiyun.com/https://blog.youkuaiyun.com/mtaxot/article/details/108871964https://blog.youkuaiyun.com/mtaxot/article/details/108871964mtaxotTue, 29 Sep 2020 17:44:06 +0800https://blog.youkuaiyun.com/mtaxot/article/details/101692302https://blog.youkuaiyun.com/mtaxot/article/details/101692302mtaxotSun, 29 Sep 2019 15:08:35 +0800https://blog.youkuaiyun.com/mtaxot/article/details/94293451https://blog.youkuaiyun.com/mtaxot/article/details/94293451mtaxotSun, 30 Jun 2019 12:22:41 +0800https://blog.youkuaiyun.com/mtaxot/article/details/80909098https://blog.youkuaiyun.com/mtaxot/article/details/80909098mtaxotWed, 04 Jul 2018 12:45:47 +0800https://blog.youkuaiyun.com/mtaxot/article/details/72854524https://blog.youkuaiyun.com/mtaxot/article/details/72854524mtaxotSun, 04 Jun 2017 00:25:18 +0800https://blog.youkuaiyun.com/mtaxot/article/details/68924583https://blog.youkuaiyun.com/mtaxot/article/details/68924583mtaxotFri, 31 Mar 2017 14:42:11 +0800https://blog.youkuaiyun.com/mtaxot/article/details/68924512https://blog.youkuaiyun.com/mtaxot/article/details/68924512mtaxotFri, 31 Mar 2017 14:07:23 +0800https://blog.youkuaiyun.com/mtaxot/article/details/53884862https://blog.youkuaiyun.com/mtaxot/article/details/53884862mtaxotMon, 26 Dec 2016 12:48:14 +0800https://blog.youkuaiyun.com/mtaxot/article/details/53762444https://blog.youkuaiyun.com/mtaxot/article/details/53762444mtaxotTue, 20 Dec 2016 16:59:13 +0800https://blog.youkuaiyun.com/mtaxot/article/details/53760784https://blog.youkuaiyun.com/mtaxot/article/details/53760784mtaxotTue, 20 Dec 2016 11:41:40 +0800https://blog.youkuaiyun.com/mtaxot/article/details/52276653https://blog.youkuaiyun.com/mtaxot/article/details/52276653mtaxotMon, 22 Aug 2016 14:43:47 +0800https://blog.youkuaiyun.com/mtaxot/article/details/52150152https://blog.youkuaiyun.com/mtaxot/article/details/52150152mtaxotMon, 08 Aug 2016 11:43:34 +0800https://blog.youkuaiyun.com/mtaxot/article/details/52033121https://blog.youkuaiyun.com/mtaxot/article/details/52033121mtaxotTue, 26 Jul 2016 10:52:20 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51924353https://blog.youkuaiyun.com/mtaxot/article/details/51924353mtaxotSat, 16 Jul 2016 15:10:00 +08000看涨，反之看跌，果真是这样的吗？由于所有的技术指标都基于对历史数据的统计，指标的滞后性也就难免，有时候MACD明明大于0，股价仍然跌，有时候macd小于0，股价仍然涨。 本文基于Adaboost算法提出了一种基于macd的线性阀值分类器作为若分类器，通过在限定的解空间内寻找使得错误率最小的阀值和偏置，这样做避免了训练若分类器的复杂性，经验证，这种方法有效。]]>https://blog.youkuaiyun.com/mtaxot/article/details/51513228https://blog.youkuaiyun.com/mtaxot/article/details/51513228mtaxotFri, 27 May 2016 10:25:18 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51455959https://blog.youkuaiyun.com/mtaxot/article/details/51455959mtaxotThu, 19 May 2016 18:06:09 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51446083https://blog.youkuaiyun.com/mtaxot/article/details/51446083mtaxotWed, 18 May 2016 18:02:33 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51433417https://blog.youkuaiyun.com/mtaxot/article/details/51433417mtaxotTue, 17 May 2016 09:09:30 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51426734https://blog.youkuaiyun.com/mtaxot/article/details/51426734mtaxotMon, 16 May 2016 17:30:55 +0800https://blog.youkuaiyun.com/mtaxot/article/details/51425209https://blog.youkuaiyun.com/mtaxot/article/details/51425209mtaxotMon, 16 May 2016 15:00:07 +0800