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falysong
2021-12-24
up
抱歉,原内容已删除
falysong
2021-12-21
加797
抱歉,原内容已删除
falysong
2021-12-21
up
抱歉,原内容已删除
falysong
2021-12-17
$Upstart Holdings, Inc.(UPST)$
够力
falysong
2021-12-14
朋友
$Upstart Holdings, Inc.(UPST)$
跌到没有
falysong
2021-12-14
up up up
抱歉,原内容已删除
falysong
2021-12-14
up
抱歉,原内容已删除
falysong
2021-12-09
加油
@美股研习社:暴涨股UPST的价值探究
falysong
2021-12-07
上吧 哈哈
抱歉,原内容已删除
falysong
2021-12-07
up
抱歉,原内容已删除
falysong
2021-11-30
Up
@美港股观察社:本期视频讲下投资者经常会碰到的问题,面对市场上几千支股票,该如何选择出满意的股票呢?有没有一套系统的选股方法?从大类上看,选股方法主要包括自上而下和自下而上方法。自上而下方法是根据宏观经济环境、市场变量的变化来选择出表现最好的行业以及最好的个股。这个宏观经济环境包括经济增速的变化、结构性的变化、通胀、宏观大事件等,比如这次新冠疫情对海外生产链的扰动就带来了原材料端供应短缺的行情。而这个市场变量则包括新科技的突破、监管政策的变化、经济周期的演变等等,比如这次炒的火热的新能源产业链,主要原因就是碳排放政策下清洁能源对传统能源进行了大规模的替代。自下而上方法则是只考查公司的单独情况,比如公司的盈利能力、估值水平、当前的股价走势等等,从基本面、技术面、资金面等选择出具备投资价值的公司。这其中又包括非常多的方法,选择也因人而异。有的投资者偏好拿分红,就可以寻找那些每年都有不菲的分红,而且分红每年还会增长的公司。有的投资者喜欢抄底,那么可以选择那些困境反转的公司,比如往年亏损,今年预期要盈利,又比如因为财务困境导致债务违约,可以在债务重组前后进行投资,因为这些公司的股价通常已经经历了大幅回调,而公司困境又将反转,就很容易迎来戴维斯双击。有的投资者更喜欢成长性,就可以选择高成长性的行业,其中的公司大部分可以保持较快的增长,再去选股也比较容易,也可以在细分领域找到竞争力强的公司,公司可以通过抢占其他公司的份额来获得高速增长。高增长意味着高估值,投资者也不一定下得去手,怎么办?教你一招,用估值/增速的方法来衡量,比如PE/G,用市盈率比上净利润增速的方法来判断估值是否合理。一般来讲,PEG=1相对合理。有的投资者可能说了,我既喜欢分红高,又喜欢有成长性,而且还要估值低的,那该怎么找?这时就可以用量化选股的方法,将这些指标都加以量化,然后从市场中筛选,看能不能找到你想要的股票。彼得·林奇说过,
falysong
2021-11-27
up
抱歉,原内容已删除
falysong
2021-11-20
$Upstart Holdings, Inc.(UPST)$
吐血
falysong
2021-11-16
$Upstart Holdings, Inc.(UPST)$
还有救吗?
falysong
2021-11-11
$特斯拉(TSLA)$
up
falysong
2021-11-11
$Upstart Holdings, Inc.(UPST)$
gg
falysong
2021-11-10
$Upstart Holdings, Inc.(UPST)$
吐血
falysong
2021-11-10
$Upstart Holdings, Inc.(UPST)$
死了
falysong
2021-11-09
$Upstart Holdings, Inc.(UPST)$
go
falysong
2021-11-08
$扬子江船业(BS6.SI)$
up
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href=\"https://laohu8.com/S/UPST\">$Upstart Holdings, Inc.(UPST)$</a>跌到没有","listText":"朋友<a href=\"https://laohu8.com/S/UPST\">$Upstart Holdings, Inc.(UPST)$</a>跌到没有","text":"朋友$Upstart Holdings, Inc.(UPST)$跌到没有","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/607350743","isVote":1,"tweetType":1,"viewCount":2606,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":607350063,"gmtCreate":1639492603277,"gmtModify":1639492723659,"author":{"id":"4089637360666120","authorId":"4089637360666120","name":"falysong","avatar":"https://static.tigerbbs.com/442291c228e1262a3b57bd205898bda7","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4089637360666120","authorIdStr":"4089637360666120"},"themes":[],"htmlText":"up up up","listText":"up up up","text":"up up up","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/607350063","repostId":"2191586339","repostType":4,"isVote":1,"tweetType":1,"viewCount":2737,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":607324301,"gmtCreate":1639492559196,"gmtModify":1639492559304,"author":{"id":"4089637360666120","authorId":"4089637360666120","name":"falysong","avatar":"https://static.tigerbbs.com/442291c228e1262a3b57bd205898bda7","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4089637360666120","authorIdStr":"4089637360666120"},"themes":[],"htmlText":"up","listText":"up","text":"up","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/607324301","repostId":"1163609212","repostType":4,"isVote":1,"tweetType":1,"viewCount":3076,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":602706785,"gmtCreate":1639063015373,"gmtModify":1639063015740,"author":{"id":"4089637360666120","authorId":"4089637360666120","name":"falysong","avatar":"https://static.tigerbbs.com/442291c228e1262a3b57bd205898bda7","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4089637360666120","authorIdStr":"4089637360666120"},"themes":[],"htmlText":"加油","listText":"加油","text":"加油","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/602706785","repostId":"862730346","repostType":1,"repost":{"id":862730346,"gmtCreate":1632911206609,"gmtModify":1744960740119,"author":{"id":"4092209177497620","authorId":"4092209177497620","name":"美股研习社","avatar":"https://static.tigerbbs.com/504f9801d521d1863fa1d263ff8ea79d","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4092209177497620","authorIdStr":"4092209177497620"},"themes":[],"title":"暴涨股UPST的价值探究","htmlText":"摘要:小贷股是否能经受住紧缩周期的考验作者:美股先锋Upstart成立于2012年,创始团队来自谷歌,主打AI贷款/助贷。去年12月16日于纳斯达克上市,开盘价26美元,目前飙涨到约313美元,短短3个季度时间完成10+倍的神迹。那么,是什么撑起了Upstart的估值,后续又会怎么走向?我们一起来看 。(Upstart股价走势 来源:Seekingalpha)01商业模式首先要讨论的关键问题在于AI贷款这种产品/模式,是否真的比传统的银行贷款有效。按照Upstart管理层的说法,传统的信贷主要有三个问题:放贷给无力还款的人;不放贷给有能力还款的人;准时还款的人支付利息过高。总的来说,也就是传统银行的审核、风控等等模型过时且低效。对此Upstart的解决办法是利用AI算法,核心优势在于识别高质量借款人,并促成其拿到合理的贷款额度,过程中收取合适的费用。据年报披露,Upstart与几家美国大型银行研究显示,在相同的损失率下,其信贷模型审核的借贷人数量是传统信贷模型的3倍。也就是说,Upstart的模型更加先进和有效,让更多的潜在优质借款人得到借款(并且通常是以更低的利率水平)。更具体些,一般银行和其他贷款机构放款审核时参考的核心指标是FICO(1989年设立),分数为300分-850分,分数越高意味着信用越好,拿到的贷款额度和利率优惠更高。虽然除了FICO分数之外,银行和贷款机构也会有一些其他因子作为参考标准,但总体来说因子有限,模型并不优质,也就导致无法识别和量化风险,错失潜在优质客户,无法有更合适的利率水平等问题。而Upstart利用AI算法,能更准确量化一笔贷款的风险,经过8年多不断的升级、训练模型,Upstart的产品纳入超过1000个因子/变量,能实现费用优化、偿付预测,并能有效解决收入欺诈、贷款堆叠、身份欺诈等等问题。据20年年报,Upstar包括1050万进行中的","listText":"摘要:小贷股是否能经受住紧缩周期的考验作者:美股先锋Upstart成立于2012年,创始团队来自谷歌,主打AI贷款/助贷。去年12月16日于纳斯达克上市,开盘价26美元,目前飙涨到约313美元,短短3个季度时间完成10+倍的神迹。那么,是什么撑起了Upstart的估值,后续又会怎么走向?我们一起来看 。(Upstart股价走势 来源:Seekingalpha)01商业模式首先要讨论的关键问题在于AI贷款这种产品/模式,是否真的比传统的银行贷款有效。按照Upstart管理层的说法,传统的信贷主要有三个问题:放贷给无力还款的人;不放贷给有能力还款的人;准时还款的人支付利息过高。总的来说,也就是传统银行的审核、风控等等模型过时且低效。对此Upstart的解决办法是利用AI算法,核心优势在于识别高质量借款人,并促成其拿到合理的贷款额度,过程中收取合适的费用。据年报披露,Upstart与几家美国大型银行研究显示,在相同的损失率下,其信贷模型审核的借贷人数量是传统信贷模型的3倍。也就是说,Upstart的模型更加先进和有效,让更多的潜在优质借款人得到借款(并且通常是以更低的利率水平)。更具体些,一般银行和其他贷款机构放款审核时参考的核心指标是FICO(1989年设立),分数为300分-850分,分数越高意味着信用越好,拿到的贷款额度和利率优惠更高。虽然除了FICO分数之外,银行和贷款机构也会有一些其他因子作为参考标准,但总体来说因子有限,模型并不优质,也就导致无法识别和量化风险,错失潜在优质客户,无法有更合适的利率水平等问题。而Upstart利用AI算法,能更准确量化一笔贷款的风险,经过8年多不断的升级、训练模型,Upstart的产品纳入超过1000个因子/变量,能实现费用优化、偿付预测,并能有效解决收入欺诈、贷款堆叠、身份欺诈等等问题。据20年年报,Upstar包括1050万进行中的","text":"摘要:小贷股是否能经受住紧缩周期的考验作者:美股先锋Upstart成立于2012年,创始团队来自谷歌,主打AI贷款/助贷。去年12月16日于纳斯达克上市,开盘价26美元,目前飙涨到约313美元,短短3个季度时间完成10+倍的神迹。那么,是什么撑起了Upstart的估值,后续又会怎么走向?我们一起来看 。(Upstart股价走势 来源:Seekingalpha)01商业模式首先要讨论的关键问题在于AI贷款这种产品/模式,是否真的比传统的银行贷款有效。按照Upstart管理层的说法,传统的信贷主要有三个问题:放贷给无力还款的人;不放贷给有能力还款的人;准时还款的人支付利息过高。总的来说,也就是传统银行的审核、风控等等模型过时且低效。对此Upstart的解决办法是利用AI算法,核心优势在于识别高质量借款人,并促成其拿到合理的贷款额度,过程中收取合适的费用。据年报披露,Upstart与几家美国大型银行研究显示,在相同的损失率下,其信贷模型审核的借贷人数量是传统信贷模型的3倍。也就是说,Upstart的模型更加先进和有效,让更多的潜在优质借款人得到借款(并且通常是以更低的利率水平)。更具体些,一般银行和其他贷款机构放款审核时参考的核心指标是FICO(1989年设立),分数为300分-850分,分数越高意味着信用越好,拿到的贷款额度和利率优惠更高。虽然除了FICO分数之外,银行和贷款机构也会有一些其他因子作为参考标准,但总体来说因子有限,模型并不优质,也就导致无法识别和量化风险,错失潜在优质客户,无法有更合适的利率水平等问题。而Upstart利用AI算法,能更准确量化一笔贷款的风险,经过8年多不断的升级、训练模型,Upstart的产品纳入超过1000个因子/变量,能实现费用优化、偿付预测,并能有效解决收入欺诈、贷款堆叠、身份欺诈等等问题。据20年年报,Upstar包括1050万进行中的","images":[{"img":"https://static.tigerbbs.com/a05b7b601df29d451c25c1bdd5a7a2bf","width":"688","height":"494"},{"img":"https://static.tigerbbs.com/82eaa6632e8d8ac8e5be3a40cb205474","width":"688","height":"491"},{"img":"https://static.tigerbbs.com/ce926a784e015106355b82b429023b88","width":"688","height":"315"}],"top":1,"highlighted":1,"essential":2,"paper":2,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/862730346","isVote":1,"tweetType":1,"viewCount":0,"authorTweetTopStatus":1,"verified":1,"comments":[],"imageCount":7,"langContent":"CN","totalScore":0},"isVote":1,"tweetType":1,"viewCount":2949,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":606278048,"gmtCreate":1638889110162,"gmtModify":1638889110241,"author":{"id":"4089637360666120","authorId":"4089637360666120","name":"falysong","avatar":"https://static.tigerbbs.com/442291c228e1262a3b57bd205898bda7","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4089637360666120","authorIdStr":"4089637360666120"},"themes":[],"htmlText":"上吧 哈哈","listText":"上吧 哈哈","text":"上吧 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\n \n 本期视频讲下投资者经常会碰到的问题,面对市场上几千支股票,该如何选择出满意的股票呢?有没有一套系统的选股方法?从大类上看,选股方法主要包括自上而下和自下而上方法。自上而下方法是根据宏观经济环境、市场变量的变化来选择出表现最好的行业以及最好的个股。这个宏观经济环境包括经济增速的变化、结构性的变化、通胀、宏观大事件等,比如这次新冠疫情对海外生产链的扰动就带来了原材料端供应短缺的行情。而这个市场变量则包括新科技的突破、监管政策的变化、经济周期的演变等等,比如这次炒的火热的新能源产业链,主要原因就是碳排放政策下清洁能源对传统能源进行了大规模的替代。自下而上方法则是只考查公司的单独情况,比如公司的盈利能力、估值水平、当前的股价走势等等,从基本面、技术面、资金面等选择出具备投资价值的公司。这其中又包括非常多的方法,选择也因人而异。有的投资者偏好拿分红,就可以寻找那些每年都有不菲的分红,而且分红每年还会增长的公司。有的投资者喜欢抄底,那么可以选择那些困境反转的公司,比如往年亏损,今年预期要盈利,又比如因为财务困境导致债务违约,可以在债务重组前后进行投资,因为这些公司的股价通常已经经历了大幅回调,而公司困境又将反转,就很容易迎来戴维斯双击。有的投资者更喜欢成长性,就可以选择高成长性的行业,其中的公司大部分可以保持较快的增长,再去选股也比较容易,也可以在细分领域找到竞争力强的公司,公司可以通过抢占其他公司的份额来获得高速增长。高增长意味着高估值,投资者也不一定下得去手,怎么办?教你一招,用估值/增速的方法来衡量,比如PE/G,用市盈率比上净利润增速的方法来判断估值是否合理。一般来讲,PEG=1相对合理。有的投资者可能说了,我既喜欢分红高,又喜欢有成长性,而且还要估值低的,那该怎么找?这时就可以用量化选股的方法,将这些指标都加以量化,然后从市场中筛选,看能不能找到你想要的股票。彼得·林奇说过,\n 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