My Time

Tuesday, February 5, 2013

AUD/USD for Tuesday, February 5, 2013


In the last few days, the Australian dollar has rallied well to push back above the key 1.04 level, after quite a volatile period.   For the few days before, the Australian dollar surged back towards 1.0480 before falling just as heavily a 24 hour period back to the 1.04 level.   Generally over the last few weeks, the AUD / USD has slowly drifted away from the key resistance level at 1.06.   Over the last month or so as expected, the 1.06 level has provided stiff resistance, having previously done so last year on numerous occasions.   A few weeks ago it moved back to the key level of 1.05 where it met with strong demand resulting in solid support. The 1.05 level has emerged as one of significance over the last couple of months however after a little push back towards 1.06, the AUD/USD has since fallen sharply back down below 1.04.   Are we going to see another rally back towards 1.06?  There is likely to be further resistance around the 1.0480 to 1.05 level which will have to be dealt with first.
Over the last few months, 1.03, 1.0350 and now the 1.04 level has stepped in and provide strong support after equally strong falls. Throughout October and November last year, the AUD / USD bounced back off the support level at 1.02 and slowly but surely regained lost ground meeting and dealing with key levels along the way. This resulted in the AUD / USD moving to a three month high just shy of 1.06 in the middle of December. After falling sharply in a couple of weeks in late December which saw it drop down below 1.0350, the AUD / USD regained the lost ground quickly and again returned to the 1.06 level touching a four month high. Should the AUD/USD recover from here, it is likely to continue to place pressure on the 1.06 level as the major lows are increasing demonstrating very strong long term support.
In Australia, Building Approvals slumped badly, while ANZ Job Advertisements posted yet another decline. In the US last week ended on a mixed note. Employment numbers were a disappointment, as Non-Farm Payrolls did not meet the estimate and the unemployment rate moved higher.   However, consumer sentiment and manufacturing data looked sharp. The new trading week started with a whimper, as the markets were treated to some weak Australian releases.
(Daily chart / 4 hourly chart below)
AUDUSD Technical Analysis Daily Chart.
 

AUDUSD Technical Analysis Candlestick 4 Hour Chart.
AUD/USD February 4 at 23:45 GMT 1.0443    H: 1.0443    L: 1.0412

AUD/USD Technical
S3S2S1R1R2R3
1.04001.03501.03001.05001.0600—


During the early hours of the Asian trading session on Tuesday, the AUD / USD has been placing pressure on the short term resistance level at 1.0440 and has just started to push through.   The 1.04 level has been a key level for the AUD / USD late last year and emerged again as one of support in the last few days.   After its heavy fall, it has replied upon it again within the last week.    Current range: Trading just above 1.0440.
Further levels in both directions:
? Below: 1.0400, 1.0350, and 1.0300.
? Above: 1.0500 and 1.0600.

OANDA's Open Position Ratios

(Shows the ratio of long vs. short positions held for the EUR/USD among all OANDA clients. The left percentage (blue) shows long positions; the right percentage (orange) shows short positions.)
The AUD/USD ratio has remained quite steady over the last 48 hours.   Trader sentiment continues to be biased a little in favour of long positions.
Economic Releases
  • 00:30 AU Trade Balance (Dec)
  • 03:30 AU RBA – Overnight Rate (Feb)
  • 08:58 EU Services & Composite PMI (Jan)
  • 09:28 UK CIPS / Markit Services PMI (Jan)
  • 10:00 EU Retail Trade (Dec)
  • 15:00 US ISM Non-Manufacturing (Jan)

Sunday, February 3, 2013

四种性格的人不宜炒股

四种性格的人不宜炒股

  心理学家认为,人的性格、能力、兴趣爱好等心理特征各不相同,并非人人都能投入"风险莫测"的股市中去的。

  环型性格---情绪极不稳定,大起大落,情绪自控能力差,极易受环境的影响,赢利时兴高采烈,忘乎所以,不知风险将至,输钱时灰心丧气,一蹶不振,怨天尤人。

  偏执性格---个性偏激,自我评价过高,刚愎自用,在买进股票时常坚信自己的片面判断,听不进任何忠告,甚至来自股民的警告也当耳边风,当遇到挫折或失败时,则用心理投射机制迁怒别人。

  懦弱性格---随大流,人云亦云,缺乏自信,无主见,遇事优柔寡断,总是按别人的意见做。进入股市,则为盲目跟风。往往选好的股号改来改去而与好股擦肩而过,后悔不迭。

  追求完美性格---即目标过高,做什么事都追求十全十美,稍有不足,即耿耿于怀,自怨自责,随意性、投机性、赌注性等方面多头全面出击,但机缘巧合的机会毕竟少,于是不能释怀。

  有以上性格缺陷的人最好不要炒股,在遭受重大的精神刺激时,这些人容易出现心理失衡。股民炒股的悲剧或身心健康损害,大多是不懂得自我心理调适。没有一颗"平常心"的人,对挫折的防御,对突变应付都缺乏应有的认识和分析,更缺乏心理承受能力,最容易造成经常性或突发性的"急性炒股综合征",轻者怨天尤人、长吁短叹,产生恐惧、幻觉、焦虑、妄想等心理障碍,重则精神完全崩溃,而发生精神疾病或自寻短见。

股神巴菲特成功秘籍:学不到的简单

执著于“价值投资”是三岁小屁孩都知道的关于巴菲特的一个特点。过年期间看完了一本很厚的巴菲特传,了解到更多。

1.牛人都有些相似之处。

童年的巴菲特与洛克菲勒和摩根有惊人相似之处。与洛克菲勒一样,巴菲特从小渴望发财。并且毫不遮掩这一梦想。年少的洛克菲特对金钱怀有狂热,激动之时,会拍着别人的大腿大声说道:“我将来一定会成为亿万富翁的,一定会的!”巴菲特基本上也这德性。

像摩根一样,巴菲特从小每到一个地方,都要用商业的眼光去观察一切事情:哪里有发财机会,一件事情怎么做可以赚更多钱。年少的巴菲特通过拣饮料瓶盖来确定哪种饮料好卖。他总是想将东西卖给任何人。无论是二手的角子游戏机,还是二手的汽车,他都要变为赢利工具。赚钱意识,深刻溶进他的血液里。这样的人,要想不发财,难。他一边读中学一边当报童。通过研究送报线路和改善送报纸方式提高效率,赚到了更多的钱。大学没读完,他已经通过琢磨这些小生意拥有了上万美元的储蓄。

2.人人都会高唱“价值投资”高调,可究竟怎样才是价值投资,却并非人人都懂。

作为投资者的巴菲特秉承他老师格雷厄姆的理念:买“便宜货”,即在股市上买进那些价格远低于其内在价值的股票,然后持有,直到它的价格翻倍。巴菲特惊人的记忆力和心算能力使他远离计算机和一切现代股票投资工具。

在投资界,巴菲特完全是个另类。是与华尔街气质截然相反的一类人。

他远离纽约这个金融信息中心,蜗居在偏远的故乡小镇奥马哈,房间里只有两种东西:各种年报和报纸资料,以及电话。没有计算机。也没有成群的专业研究人员。

巴菲特阅读大量的企业年报,从年报信息中判断哪是“便宜货”,然后打电话委托经纪商买进。

这个连续几十年在股市上从未亏损过的投资奇人,生活方式和做事风格完全像个现代隐士。他的能量完全源自个人的内在。他不需要太复杂的外部措施。简单就是他的力量。

他的生活也简单朴素,从少年到暮年,从一文不名到富可敌国,他都不改朴素本色,无论在何种场合,他永远都只爱喝可口可乐,吃爆米花和汉堡包。这是一个喜欢稳定,怀旧情结浓重,内心永远也长不大的资本奇人。

3.巴菲特最神奇的地方是他对自己判断的执著坚持。

他买进的股票常常是别人非常不看好的股票,它们常常与热点和流行看法相悖离。他买进,然后持有。他持有的股票最终往往通过翻倍增长来一次次证明他的正确。

最神奇的地方是70年代初和80年代末,这两次当股票市场极度狂热,人们信心百倍的时候,巴菲特反而本能地退缩了。他感到看不懂这个市场,感到灵感在枯竭,感到不理解人们的行为。于是卖空了他的股票。事实上,股灾很快就降临。事实教训了那些乐观的家伙,同时也证明了巴菲特的本能直觉的正确性。

而当一片狼藉的市场害得人们胆战心惊,连明明是正确的常识都不敢去相信、明明是投资机会都不敢放手一搏的时候,巴菲特开始大量吃进,他又一次得到了极大的便宜。

这里令我佩服的并不是他的判断力,而是他近乎于脱离地心引力一般脱离大众思维、坚守自己判断的力量。这需要多么强大的内在力量来对抗市场的普遍力量。

巴菲特是不可复制的。一方面是由于他的天赋,另一方面是由于他的简单。简单的往往是最有力量的。而这种简单,你学不到。

巴菲特的投资忠告:悲观主义是良友

一、投资者情绪从过于乐观与过于悲观变化反复无常

乐观和悲观两种相反的情绪对我们决策影响很大。乐观和悲观本身没有什么错误,但过于乐观和过于悲观会酿成大错,代价巨大,尤其是在股市投资上。

过于乐观,最典型的就是大牛市,我们相信已经涨了又涨大涨又大涨的股市还会大涨再大涨。这个时候,基本面和估值水平已经根本无法支撑股价水平上涨,唯一支撑股价上涨的就是投资者过于乐观的情绪。过于乐观让投资者过于贪婪,尽管股市明显高估,继续高价买入,推动股价继续上涨,而股价上涨让过于乐观的人觉得自己判断正确,会更加乐观,更多追涨买入。2007年前10个月中国股市从2728点涨到6124点的疯狂就是最好的例子。

过于悲观,情况正好相反,最典型的就是大熊市,股市越跌,投资者越杀跌争相卖出。过于悲观让投资者过于恐惧,尽管股价已经明显过于低估,仍然继续大量卖出。卖出的人越多,股价跌得越凶,让过于悲观的人更加悲观,让股市更加低迷。2007年10月到2008年10月中国股市一年从最高的6124点暴跌到最低的1664点就是最好的案例。

回顾股市长期历史,你会发现,股市并不是经济学家说的国民经济的晴雨表,经常与经济发展严重背离。但股市绝对是投资者群体情绪的晴雨表,推动股价上涨创造牛市的是乐观主义,创造超级大牛市的是过于乐观,推动股价下跌创造熊市的是悲观主义,创造超级大熊市的是过于悲观。股市从涨到跌,反映投资者群体情绪从乐观到悲观的转变。股市从涨到跌,再从跌到涨,反复无常,反映投资者情绪从乐观到悲观从贪婪买入到恐惧卖出的反复无常变化。

巴菲特深知乐观主义与悲观主义推动股市涨跌的力量有多么巨大又多么无常:“我们深知,恐惧和贪婪这两种传染性极强的流行病偶尔会突然爆发,这种现象在投资世界永远会一再出现。这些流行病的发生时间却难以预料。由此引发的市场价格与价值的严重偏离,无论是持续时间还是偏离程度都同样根本无法预测。因此我们永远不会试图去预测恐惧和贪婪任何一种情形的降临或离去。我们的目标更加适中:我们只是想做到,在别人贪婪时恐惧,而在别人恐惧时贪婪。”

二、巴菲特投资忠告:悲观主义是良友而乐观主义是大敌

生活决策中,大多数人悲观主义胜过乐观主义,做事先求稳,不出大错。但同样是这些人,在投资决策中正好相反,乐观主义胜过悲观主义,总想赚大钱,情愿冒大险,最明显的体现是喜欢上涨而厌恶下跌。巴菲特告诉我们,对于长期投资者来说这种想法大错特错:

“那些希望在自己有生之年持续不断买入股票的投资者,应该对股市价格波动采取与我们一样欢迎股市大跌的态度;相反,许多投资者在股票价格上涨时得意洋洋,在下跌时却闷闷不乐,这完全不合乎正常的逻辑。可是他们对食品价格波动的反应就从来不会出现这样的神经错乱:他们知道自己永远会是食品的购买方,因此他们欢迎食品价格下跌,谴责价格上涨(只有食品的销售方才会不喜欢价格一直下跌)。与此类似,即使新闻纸的价格下跌可能意味着我们经常手中持有的大量纸张库存的价值也会下跌,我们控股的《布法罗晚报》也照样会为新闻纸的价格下跌欢呼,因为我们知道我们的报纸永远需要不断买入新闻纸。”

“完全相同的逻辑指导着我们伯克希尔的投资思考和决策。只要我还活着,我们将会不断整体收购企业,或买入企业的一部分股权即股票。在这种情况下,股价下跌使我们受益,而股价上涨则使我们受损。”

“导致股价过低的最常见原因是悲观主义,有时悲观主义会扩散到整个市场,有时则只是扩散到某家公司或某个行业。我们希望在这种过度悲观导致股价过低的环境下进行投资,这并不是因为我们喜欢悲观主义,而是因为我们喜欢悲观主义导致的股价过低。乐观主义才是理性买入者的大敌。”

“但是,这不意味着在一家公司或一只股票不受欢迎时进行买入就是明智的投资;盲目的逆向投资策略如同盲目地追随大众的投资策略一样愚蠢。真正需要的是思考而不是投票表决。不幸的是,伯特兰·罗素对于生活的评论同样不可思议地非常适用于金融世界:大部分人宁愿死也不愿思考。很多人的确如此。”

乐观还是悲观是方向问题,乐观或悲观到什么程度是距离问题。公司的未来增长永远是不确定的,投资者的情绪也永远是不确定的,两种不确定交织在一起,形成股市涨跌的方向和幅度非常不确定。但有一点是确定无疑的,正如巴菲特所说:价格是你付出的,价值是你得到的。大多数人未来肯定是股票的买入者,所以理性的反应应该是喜跌怕涨,因为股价大涨买入成本增加,股市大跌买入成本减少。

沃伦·巴菲特

巴菲特投资“金”定律
  1. 利用市场的愚蠢,进行有规律的投资。
  2. 买价决定报酬率的高低,即使是长线投资也是如此。
  3. 利润的复合增长与交易费用、避税使投资人受益无穷。
  4. 不要在意某家公司来年可赚多少,只要在意其未来5至10年能赚多少。
  5. 只投资未来收益确定性高的企业。
  6. 通货膨胀是投资者的最大敌人。
  7. 价值型与成长型的投资理念是相通的。价值是一项投资未来现金流量的折现值;而成长只是用来决定价值的预测过程。
  8. 投资人财务上的成功与他对投资企业的了解程度成正比。
  9. “安全边际”从两个方面协助你的投资。首先是缓冲可能的价格风险;其次是可获得相对高的权益报酬率。
  10. 拥有一只股票,期待它在下个星期就上涨,是十分愚蠢的。
  11. 即使美联储主席偷偷告诉我未来两年的货币政策,我也不会为之改变我的任何投资作为。
  12. 不理会股市的涨跌,不担心经济情势的变化,不相信任何预测,不接受任何内幕消息,只注意两点:A.买什么股票;B.买入价格。
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巴菲特股市不败的六大要素
一、赚钱而不要赔钱
这是巴菲特经常被引用的一句话:“投资的第一条准则是不要赔钱;第二条准则是永远不要忘记第一条。”因为如果投资一美元,赔了50美分,手上只剩一半的钱,除非有百分之百的收益,才能回到起点。
巴菲特最大的成就莫过于在1965年到2006年间,历经3个熊市,而他的伯克希尔·哈撒韦公司只有一年(2001年)出现亏损。
二、别被收益蒙骗
巴菲特更喜欢用股本收益率来衡量企业的盈利状况。股本收益率是用公司净收入除以股东的股本,它衡量的是公司利润占股东资本的百分比,能够更有效地反映公司的盈利增长状况。
根据他的价值投资原则,公司的股本收益率应该不低于15%。在巴菲特持有的上市公司股票中,可口可乐的股本收益率超过30%,美国运通公司达到37%。
三、要看未来
人们把巴菲特称为“奥马哈的先知”,因为他总是有意识地去辨别公司是否有好的发展前途,能不能在今后25年里继续保持成功。巴菲特常说,要透过窗户向前看,不能看后视镜。
预测公司未来发展的一个办法,是计算公司未来的预期现金收入在今天值多少钱。这是巴菲特评估公司内在价值的办法。然后他会寻找那些严重偏离这一价值、低价出售的公司。
四、坚持投资能对竞争者构成巨大“屏障”的公司
预测未来必定会有风险,因此巴菲特偏爱那些能对竞争者构成巨大“经济屏障”的公司。这不一定意味着他所投资的公司一定独占某种产品或某个市场。例如,可口可乐公司从来就不缺竞争对手。但巴菲特总是寻找那些具有长期竞争优势、使他对公司价值的预测更安全的公司。
20世纪90年代末,巴菲特不愿投资科技股的一个原因就是:他看不出哪个公司具有足够的长期竞争优势。
五、要赌就赌大的
绝大多数价值投资者天性保守。但巴菲特不是。他投资股市的620亿美元集中在45 只股票上。他的投资战略甚至比这个数字更激进。在他的投资组合中,前10只股票占了投资总量的90%。晨星公司的高级股票分析师贾斯廷·富勒说:“这符合巴菲特的投资理念。不要犹豫不定,为什么不把钱投资到你最看好的投资对象上呢?”
六、要有耐心等待
如果你在股市里换手,那么可能错失良机。巴菲特的原则是:不要频频换手,直到有好的投资对象才出手。
巴菲特常引用传奇棒球击球手特德·威廉斯的话:“要做一个好的击球手,你必须有好球可打。”如果没有好的投资对象,那么他宁可持有现金。据晨星公司统计,现金在伯克希尔·哈撒韦公司的投资配比中占18%以上,而大多数基金公司只有4%的现金。
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巴菲特理财法:“三要三不要”
以下是堪称巴菲特投资理念精华的“三要三不要”理财法:
要投资那些始终把股东利益放在首位的企业。巴菲特总是青睐那些经营稳健、讲究诚信、分红回报高的企业,以最大限度地避免股价波动,确保投资的保值和增值。而对于总想利用配股、增发等途径榨取投资者血汗的企业一概拒之门外。
要投资资源垄断型行业。从巴菲特的投资构成来看,道路、桥梁、煤炭、电力等资源垄断型企业占了相当份额,这类企业一般是外资入市购并的首选,同时独特的行业优势也能确保效益的平稳。

要投资易了解、前景看好的企业。巴菲特认为凡是投资的股票必须是自己了如指掌,并且是具有较好行业前景的企业。不熟悉、前途莫测的企业即使被说得天花乱坠也毫不动心。
不要贪婪。1969年整个华尔街进入了投机的疯狂阶段,面对连创新高的股市,巴菲特却在手中股票涨到20%的时候就非常冷静地悉数全抛。
不要跟风。2000年,全世界股市出现了所谓的网络概念股,巴菲特却称自己不懂高科技,没法投资。一年后全球出现了高科技网络股股灾。
不要投机。巴菲特常说的一句口头禅是:拥有一只股票,期待它下个早晨就上涨是十分愚蠢的。
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亿万富翁这样炼成:巴菲特理财习惯揭秘
当有华盛顿大学商学院学生请他们谈谈致富之道时,巴菲特说:“是习惯的力量。”
把鸡蛋放在一个篮子里
现在大家的理财意识越来越强,许多人认为“不要把所有鸡蛋放在同一个篮子里”,这样即使某种金融资产发生较大风险,也不会全军覆没。但巴菲特却认为,投资者应该像马克·吐温建议的那样,把所有鸡蛋放在同一个篮子里,然后小心地看好它。
从表面看巴菲特似乎和大家发生了分歧,其实双方都没有错。因为理财诀窍没有放之四海皆准的真理。比如巴菲特是国际公认的“股神”,自然有信心重创持有少量股票。而我们普通投资者由于自身精力和知识的局限,很难对投资对象有专业深入的研究,此时分散投资不失为明智之举。另外,巴菲特集中投资的策略基于集中调研、集中决策。在时间和资源有限的情况下,决策次数多的成功率自然比投资决策少的要低,就好像独生子女总比多子女家庭所受的照顾多一些,长得也壮一些一样。
生意不熟不做
中国有句古话叫:“生意不熟不做”。巴菲特有一个习惯,不熟的股票不做,所以他永远只买一些传统行业的股票,而不去碰那些高科技股。2000年初,网络股高潮的时候,巴菲特却没有购买。那时大家一致认为他已经落后了,但是现在回头一看,网络泡沫埋葬的是一批疯狂的投机家,巴菲特再一次展现了其稳健的投资大师风采,成为最大的赢家。
这个例子告诉我们,在做任何一项投资前都要仔细调研,自己没有了解透、想明白前不要仓促决策。比如现在大家都认为存款利率太低,应该想办法投资。股市不景气,许多人就想炒邮票、炒外汇、炒期货、进行房产投资甚至投资“小黄鱼”。其实这些渠道的风险都不见得比股市低,操作难度还比股市大。所以自己在没有把握前,把钱放在储蓄中倒比盲目投资安全些。
长期投资
有人曾做过统计,巴菲特对每一只股票的投资没有少过8年的。巴菲特曾说:“短期股市的预测是毒药,应该把它摆在最安全的地方,远离儿童以及那些在股市中的行为像小孩般幼稚的投资人。”
我们所看到的是许多人追涨杀跌,到头来只是为券商贡献了手续费,自己却是竹篮打水一场空。我们不妨算一个账,按巴菲特的底限,某只股票持股8年,买进卖出手续费是1.5%。如果在这8年中,每个月换股一次,支出1.5%的费用,一年12个月则支出费用18%,8年不算复利,静态支出也达到144%!不算不知道,一算吓一跳,魔鬼往往在细节之中。
巴菲特推荐投资者要读的书
股神巴菲特赚钱神力让热衷投资的人羡慕不已,如何能得到这些神力的哪怕一点点呢?抽时间读读巴菲特推荐给投资者阅读的书籍也许有些帮助。
《证券分析》(格雷厄姆著)。格雷厄姆的经典名著,专业投资者必读之书,巴菲特认为每一个投资者都应该阅读此书10遍以上。
《聪明的投资者》(格雷厄姆著)。格雷厄姆专门为业余投资者所著,巴菲特称之为“有史以来最伟大的投资著作”。
《怎样选择成长股》(费舍尔著)。巴菲特称自己的投资策略是“85%的格雷厄姆和15%的费舍尔”。他说:“运用费舍尔的技巧,可以了解这一行……有助于做出一个聪明的投资决定。”
《巴菲特致股东的信:股份公司教程》。本书搜集整理了20多年巴菲特致股东的信中的精华段落,巴菲特认为此书是整理其投资哲学的一流工作。
最后,巴菲特是这样概括他的日常工作:“我的工作是阅读”。巴菲特神力的源泉应该是来自阅读。

Saturday, February 2, 2013

把握「安倍經濟學」的投資機會

我準備在年尾新春期間到日本休息幾天,算是「避年」吧,本來,不是想又去日本,但航空公司網站訂機票連酒店時,只剩下大阪有位。有內地的朋友問,去日本怕不怕人身安全?在中國公幹的日本人近月大多隱瞞身份,我想應該只是過份憂慮吧,至於中國旅客到日本,我相信還是無憂的。當然,萬一碰上開戰,也就不能保證了。於是,我戲言,今次也可「探測敵情」呢。

去年四月遊東京時,怒罵日圓愈升愈高,如今,匯價回落了一成有多,至少,航空套票的節日附加費也較為相宜。而到了日本,買東西時估計也不用太過「手緊」了。

安倍上台後,在內政和外交都有大動作。外交既倡意識形態結盟欲孤立中國,又想與北京重開對話之門,而暫時未有擦槍走火,他也算是一個出色的兩面派吧。

內政方面,他則決心以弱日圓來刺激經濟,已成功逼使日本央行改為「放水」,追趕美歐的量化寬鬆,欲借通脹來鼓勵消費,外界稱之為「安倍經濟學」。

日本泡沫爆破之後,也曾多次欲透過增加開支來刺激經濟,但收效不大,因此,主流的理財思想是希望讓通縮來逐漸解決債務問題,但結構性調整收效慢,特別是當別國在超低息之餘還在猛印銀紙,令到日圓高企影響出口,很多著名日本巨企近年出現重大虧損,於是倡議以政府的有形之手來推低日圓,就變得有吸引力了。

當然,日方還要照顧美國大哥大的想法,因此,公開的目標價不敢說得太低,只希望日圓匯價逐漸回落至1美元兌100日圓。日本商企稱之為合理價,事實上,早幾年,這也是美日幣值之間的中位數,只是其後美方轉採弱美元政策,才令日圓進一步上升,早前升至1美元僅兌70多日圓。

學習「渡邊太太」理財模式
其實,匯價過高只是日本產品競爭失敗的原因為一,試想,同期人民幣匯價大幅升值,韓圜也升值了,但為何日本的家電商還會被擊敗?應該不僅是匯價問題吧?在創新方面,不少日本巨企逐漸落後於人,特別是大地震之後,日本上班族的鬥心轉弱,而消費者也更願意買進來自外國較平宜的商品。

在長期的通縮下,日本貨品只有減價沒有加價,外來遊客覺得日本貨貴了,只是基於匯率因素。但日本工資停滯,再無鐵飯碗,早年的樓按變成長命債,令到很多民眾不敢或不願消費。

若由通縮轉為通脹,民眾面對物價將要上升,便可能增加消費,若出口及內需同時改善,日本經濟便可能進入新一輪的景氣,而這是安倍的如意算盤,無論日後是否打得響,至少安倍的自民黨新政府目前的聲望,已遠勝之前的民主黨政府。

在日本大選前,我曾在本欄指出若安倍勝出,日圓必跌,如今已跌至1美元兌90日圓,我認為仍未跌夠,至於日本經濟是否會因此而好轉,則還有待觀察,所以今次到大阪,也會試途了解日本消費者的心態。

若懂得以孖展玩外匯,近期應該已可以從沽空日圓獲得可觀回報,不過,我從來不鼓勵炒匯,因為若遇上美元短期回升,匯市大鱷便足以殺盡沒有實力的日圓淡友。

我們不如學習被稱為「渡邊太太」的日本主婦們,她們並不急於消費,而是眼見日圓轉弱,又沽出日圓買入澳元等「高息貨幣」。當美歐日都採取超低息政策時,澳元又有機會重展升浪,而至少買入澳元有息收,「渡邊太太們」的想法有道理...。

Friday, February 1, 2013

Stochastic Oscillator

Introduction

Developed by George C. Lane in the late 1950s, the Stochastic Oscillator is a momentum indicator that shows the location of the close relative to the high-low range over a set number of periods. According to an interview with Lane, the Stochastic Oscillator "doesn't follow price, it doesn't follow volume or anything like that. It follows the speed or the momentum of price. As a rule, the momentum changes direction before price." As such, bullish and bearish divergences in the Stochastic Oscillator can be used to foreshadow reversals. This was the first, and most important, signal that Lane identified. Lane also used this oscillator to identify bull and bear set-ups to anticipate a future reversal. Because the Stochastic Oscillator is range bound, is also useful for identifying overbought and oversold levels.

Calculation


%K = (Current Close - Lowest Low)/(Highest High - Lowest Low) * 100
%D = 3-day SMA of %K

Lowest Low = lowest low for the look-back period
Highest High = highest high for the look-back period
%K is multiplied by 100 to move the decimal point two places


The default setting for the Stochastic Oscillator is 14 periods, which can be days, weeks, months or an intraday timeframe. A 14-period %K would use the most recent close, the highest high over the last 14 periods and the lowest low over the last 14 periods. %D is a 3-day simple moving average of %K. This line is plotted alongside %K to act as a signal or trigger line.
Stochastics - Spreadsheet 1
Click here to download this spreadsheet example.
Stochastics - Chart 1

Interpretation

The Stochastic Oscillator measures the level of the close relative to the high-low range over a given period of time. Assume that the highest high equals 110, the lowest low equals 100 and the close equals 108. The high-low range is 10, which is the denominator in the %K formula. The close less the lowest low equals 8, which is the numerator. 8 divided by 10 equals .80 or 80%. Multiply this number by 100 to find %K %K would equal 30 if the close was at 103 (.30 x 100). The Stochastic Oscillator is above 50 when the close is in the upper half of the range and below 50 when the close is in the lower half. Low readings (below 20) indicate that price is near its low for the given time period. High readings (above 80) indicate that price is near its high for the given time period. The IBM example above shows three 14-day ranges (yellow areas) with the closing price at the end of the period (red dotted) line. The Stochastic Oscillator equals 91 when the close was at the top of the range. The Stochastic Oscillator equals 15 when the close was near the bottom of the range. The close equals 57 when the close was in the middle of the range.

Fast, Slow or Full

There are three versions of the Stochastic Oscillator available on SharpCharts. The Fast Stochastic Oscillator is based on George Lane's original formulas for %K and %D. %K in the fast version that appears rather choppy. %D is the 3-day SMA of %K. In fact, Lane used %D to generate buy or sell signals based on bullish and bearish divergences. Lane asserts that a %D divergence is the "only signal which will cause you to buy or sell". Because %D in the Fast Stochastic Oscillator is used for signals, the Slow Stochastic Oscillator was introduced to reflect this emphasis. The Slow Stochastic Oscillator smooths %K with a 3-day SMA, which is exactly what %D is in the Fast Stochastic Oscillator. Notice that %K in the Slow Stochastic Oscillator equals %D in the Fast Stochastic Oscillator (chart 2).
Stochastics - Chart 2
Fast Stochastic Oscillator:
  • Fast %K = %K basic calculation
  • Fast %D = 3-period SMA of Fast %K
Slow Stochastic Oscillator:
  • Slow %K = Fast %K smoothed with 3-period SMA
  • Slow %D = 3-period SMA of Slow %K
The Full Stochastic Oscillator is a fully customizable version of the Slow Stochastic Oscillator. Users can set the look-back period, the number of periods to slow %K and the number of periods for the %D moving average. The default parameters were used in these examples: Fast Stochastic Oscillator (14,3), Slow Stochastic Oscillator (14,3) and Full Stochastic Oscillator (14,3,3).
Full Stochastic Oscillator:
  • Full %K = Fast %K smoothed with X-period SMA
  • Full %D = X-period SMA of Full %K

Overbought Oversold

As a bound oscillator, the Stochastic Oscillator makes it easy to identify overbought and oversold levels. The oscillator ranges from zero to one hundred. No matter how fast a security advances or declines, the Stochastic Oscillator will always fluctuate within this range. Traditional settings use 80 as the overbought threshold and 20 as the oversold threshold. These levels can be adjusted to suit analytical needs and security characteristics. Readings above 80 for the 20-day Stochastic Oscillator would indicate that the underlying security was trading near the top of its 20-day high-low range. Readings below 20 occur when a security is trading at the low end of its high-low range.
Before looking at some chart examples, it is important to note that overbought readings are not necessarily bearish. Securities can become overbought and remain overbought during a strong uptrend. Closing levels that are consistently near the top of the range indicate sustained buying pressure. In a similar vein, oversold readings are not necessarily bullish. Securities can also become oversold and remain oversold during a strong downtrend. Closing levels consistently near the bottom of the range indicate sustained selling pressure. It is, therefore, important to identify the bigger trend and trade in the direction of this trend. Look for occasional oversold readings in an uptrend and ignore frequent overbought readings. Similarly, look for occasional overbought readings in a strong downtrend and ignore frequent oversold readings.
Chart 3 shows Yahoo! (YHOO) with the Full Stochastic Oscillator (20,5,5). A longer look-back period (20 days versus 14) and longer moving averages for smoothing (5 versus 3) produce a less sensitive oscillator with fewer signals. Yahoo was trading between 14 and 18 from July 2009 until April 2010. Such trading ranges are well suited for the Stochastic Oscillator. Dips below 20 warn of oversold conditions that could foreshadow a bounce. Moves above 80 warn of overbought conditions that could foreshadow a decline. Notice how the oscillator can move above 80 and remain above 80 (orange highlights). Similarly, the oscillator moved below 20 and sometimes remained below 20. The indicator is both overbought AND strong when above 80. A subsequent move below 80 is needed to signal some sort of reversal or failure at resistance (red dotted lines). Conversely, the oscillator is both oversold and weak when below 20. A move above 20 is needed to show an actual upturn and successful support test (green dotted lines).
Stochastics - Chart 3
Chart 4 shows Crown Castle (CCI) with a breakout in July to start an uptrend. The Full Stochastic Oscillator (20,5,5) was used to identify oversold readings. Overbought readings were ignored because the bigger trend was up. Trading in the direction of the bigger trend improves the odds. The Full Stochastic Oscillator moved below 20 in early September and early November. Subsequent moves back above 20 signaled an upturn in prices (green dotted line) and continuation of the bigger uptrend.
Stochastics - Chart 4
Chart 5 shows Autozone (AZO) with a support break in May 2009 that started a downtrend. With a downtrend in force, the Full Stochastic Oscillator (10,3,3) was used to identify overbought readings to foreshadow a potential reversal. Oversold readings were ignored because of the bigger downtrend. The shorter look-back period (10 versus 14) increases the sensitivity of the oscillator for more overbought readings. For reference, the Full Stochastic Oscillator (20,5,5) is also shown. Notice that this less sensitive version did not become overbought in August, September and October. It is sometimes necessary to increase sensitivity to generate signals.
Stochastics - Chart 5

Bull Bear Divergences

Divergences form when a new high or low in price is not confirmed by the Stochastic Oscillator. A bullish divergence forms when price records a lower low, but the Stochastic Oscillator forms a higher low. This shows less downside momentum that could foreshadow a bullish reversal. A bearish divergence forms when price records a higher high, but the Stochastic Oscillator forms a lower high. This shows less upside momentum that could foreshadow a bearish reversal. Once a divergence takes hold, chartists should look for a confirmation to signal an actual reversal. A bearish divergence can be confirmed with a support break on the price chart or a Stochastic Oscillator break below 50, which is the centerline. A bullish divergence can be confirmed with a resistance break on the price chart or a Stochastic Oscillator break above 50.
50 is an important level to watch. The Stochastic Oscillator moves between zero and one hundred, which makes 50 the centerline. Think of it as the 50 yard line in football. The offense has a higher chance of scoring when it crosses the 50 yard line. The defense has an edge as long as it prevents the offense from crossing the 50 yard line. A Stochastic Oscillator cross above 50 signals that prices are trading in the upper half of their high-low range for the given look-back period. This suggests that the cup is half full. Conversely, a cross below 50 means prices are trading in the bottom half of the given look-back period. This suggests that the cup is half empty.
Chart 6 shows International Gaming Tech (IGT) with a bullish divergence in February-March 2010. Notice how the stock moved to a new low, but the Stochastic Oscillator formed a higher low. There are three steps to confirming this higher low. The first is a signal line cross and/or move back above 20. A signal line cross occurs when %K (black) crosses %D (red). This provides the earliest entry possible. The second is a move above 50, which puts prices in the upper half of the Stochastic range. The third is a resistance breakout on the price chart. Notice how the Stochastic Oscillator moved above 50 in late March and remained above 50 until late May.
Stochastics - Chart 6
Chart 7 shows Kohls (KSS) with a bearish divergence in April 2010. The stock moved to higher highs in early and late April, but the Stochastic Oscillator peaked in late March and formed lower highs. The signal line crosses and moves below 80 did not provide good early signals in this case because KSS kept moving higher. The Stochastic Oscillator moved below 50 for the second signal and the stock broke support for the third signal. As KSS shows, early signals are not always clean and simple. Signal line crosses, moves below 80 and moves above 20 are frequent and prone to whipsaw. Even after KSS broke support and the Stochastic Oscillator moved below 50, the stock bounced back above 57 and the Stochastic Oscillator bounced back above 50 before the stock continued sharply lower.
Stochastics - Chart 7

Bull Bear Set-ups

George Lane identified another form of divergence to predict bottoms or tops. A bull set-up is basically the inverse of a bullish divergence. The underlying security forms a lower high, but the Stochastic Oscillator forms a higher high. Even though the stock could not exceed its prior high, the higher high in the Stochastic Oscillator shows strengthening upside momentum. The next decline is then expected to result in a tradable bottom. Chart 8 shows Network Appliance (NTAP) with a bull set-up in June 2009. The stock formed a lower high as the Stochastic Oscillator forged a higher high. This higher high shows strength in upside momentum. Remember that this is a set-up, not a signal. The set-up foreshadows a tradable low in the near future. NTAP declined below its June low and the Stochastic Oscillator moved below 20 to become oversold. Traders could have acted when the Stochastic Oscillator moved above its signal line, above 20 or above 50. Alternatively, NTAP subsequently broke resistance with a strong move.
Stochastics - Chart 8
A bear set-up occurs when the security forms a higher low, but the Stochastic Oscillator forms a lower low. Even though the stock held above its prior low, the lower low in the Stochastic Oscillator shows increasing downside momentum. The next advance is expected to result in an important peak. Chart 9 shows Motorola (MOT) with a bear set-up in November 2009. The stock formed a higher low in late-November and early December, but the Stochastic Oscillator formed a lower low with a move below 20. This showed strong downside momentum. The subsequent bounce did not last long as the stock quickly peaked. Notice that the Stochastic Oscillator did not make it back above 80 and turned down below its signal line in mid December.
Stochastics - Chart 9

Conclusions

While momentum oscillators are best suited for trading ranges, they can also be used with securities that trend, provided the trend takes on a zigzag format. Pullbacks are part of uptrends that zigzag higher. Bounces are part of downtrends that zigzag lower. In this regard, the Stochastic Oscillator can be used to identify opportunities in harmony with the bigger trend.
The indicator can also be used to identify turns near support or resistance. Should a security trade near support with an oversold Stochastic Oscillator, look for a break above 20 to signal an upturn and successful support test. Conversely, should a security trade near resistance with an overbought Stochastic Oscillator, look for a break below 80 to signal a downturn and resistance failure.
The settings on the Stochastic Oscillator depend on personal preferences, trading style and timeframe. A shorter look-back period will produce a choppy oscillator with many overbought and oversold readings. A longer look-back period will provide a smoother oscillator with fewer overbought and oversold readings.
Like all technical indicators, it is important to use the Stochastic Oscillator in conjunction with other technical analysis tools. Volume, support/resistance and breakouts can be used to confirm or refute signals produced by the Stochastic Oscillator.

Using with SharpCharts

As noted above, there are three versions of the Stochastic Oscillator available as an indicator on SharpCharts. The default settings are as follows: Fast Stochastic Oscillator (14,3), Slow Stochastic Oscillator (14,3) and Full Stochastic Oscillator (14,3,3). The look-back period (14) is used for the basic %K calculation. Remember, %K in the Fast Stochastic Oscillator is unsmoothed and %K in the Slow Stochastic Oscillator is smoothed with a 3-day SMA. The "3" in the Fast and Slow Stochastic Oscillator settings (14,3) sets the moving average period for %D. Chartists looking for maximum flexibility can simply choose the Full Stochastic Oscillator to set the look-back period, the smoothing factor for %K and the moving average for %D. The indicator can be placed above, below or behind the actual price plot. Placing the Stochastic Oscillator behind the price allows users to easily match indicator swings with price swings. Click here for a live example.
Stochastics - Chart 10
Stochastics - SharpCharts

Suggested Scans

Stochastic Oscillator Oversold Upturn: This scan starts with stocks that are trading above their 200-day moving average to focus on those in a bigger uptrend. Of these, the scan then looks for stocks with a Stochastic Oscillator that turned up from an oversold level (below 20).
Stochastic Oscillator Overbought Downturn: This scan starts with stocks that are trading below their 200-day moving average to focus on those in a bigger downtrend. Of these, the scan then looks for stocks with a Stochastic Oscillator that turned down after an overbought reading (above 80).

Wednesday, January 23, 2013

升穿238,發

恆指昨日收於236上,為上衝23800做熱身,這個23800的重要性,在1月11日本欄已談及過,文如下:
 
「假如今個月,恆指收於23721之上,則以月線收市價計,恆指將是見出5年來的新高,如能於二月見出24989之上,則恆指更是創出5年來之新高。
  
指數新高應是必然事,關鍵在於能否成交也創出新高。
  
成交見出新高可能不是因一天、兩天有逾千多億成交,而是可能有逾月的每天成交接近千億,而出現月總成交創新高,之後才會出現單日成交創新高,但那時有貨者就要留心要否套利,這個時間可能在三/四月間出現。」
 
升破5年來的收市位與高位,如按圖表理論,即是上破了個大型雙底的頸線,之後是可以上挑戰26000、32000、以至逾40000,你道發唔發?
當然,這個發之路是不要一條氣上,會有反覆,首要觀察是能否及何時升穿238。

Sunday, January 20, 2013

Yangzijiang: Pull Back and Test 200D SMA


Yangzijiang pull back to test the 200D SMA after rejected at $1.15 with a Bearish Engulfing candlestick pattern. If Yangzijiang can stay above $1.00 (also the 61.8% FR, Uptrend support & psychological resistance turned support), there is  good chance to continue the up trend. Current Yangzijiang is showing a “Higher High, Higher Low” uptrend pattern.
Things to watch:
  • Bullish candlestick pattern at this support level.
  • Clear $1.04 Gap resistance.
  • Whether can stay above $1.00. If not, next support is $0.97 (50% FR and 50D SMA)

Saturday, January 19, 2013

QE、QE變招和QE退出

對於投資者,央行的立場和政策永遠是決定投資策略的一個重要考量。但是央行政策在過去幾年對市場的影響力,卻是史無前例的,貨幣政策像上帝之手,主導了流動性,主導了風險偏好,主導了市場的方向,主導了每一個人的投資得失。QE在央行歷史上必然佔據一個篇章。

政策透明度變得可有可無

  進入2013年,量化寬鬆政策面臨著新的變招。全球金融危機之後,央行的常規貨幣政策(即利率政策)很快就彈盡糧絕了。以聯儲為首的各國央行先後推出非常規的貨幣政策,俗稱量化寬鬆政策或QE,通過購買債券來擴張央行的資產負債表,向金融體系注入流動性。QE很快就滿四歲了,它為金融市場帶來了一輪又一輪的流動性,但是其對實體經濟的刺激作用並不理想,於是央行醞釀著新的超非常規貨幣政策。

  美國聯儲聲言,今後的貨幣政策與失業率掛勾,明顯偏離央行維護幣值穩定這一傳統的政策目標。估計歐洲央行今年推出負利率政策的機會很高。日本銀行的政策將與通貨膨脹掛勾。英格蘭新行長卡倫還沒有上任時,已經在討論貨幣政策與名義GDP增長掛勾。過去的QE雖說是非常規政策,不過透明度很高。央行在出招前就預先通知每個月購買債券的數量,民間對流動性的增加一清二楚。如今央行政策轉盯其他(困難的)目標,不達目標便不設上限、不設時限地注入流動性,政策透明度變得可有可無了。

流動性大水喉很可能來自日本

  聯儲曾是QE大王,不過今後的寬鬆政策可能做得不如日本、歐洲那麼瘋狂。畢竟美國房地產市道在復甦,就業和消費均現改善的跡象,而且公開市場委員會中一直有公開唱反調的成員。歐洲需要刺激經濟,必須將藏匿在銀行避險的資金擠壓出來,負利率政策已經在歐洲數個國家實施,歐洲央行對此也十分感興趣。新QE的流動性大水喉很可能來自日本。

  安倍上台之後,變本加厲地推行其所謂新經濟政策,為達目的,不惜將央行的獨立性和尊嚴踩在腳下,日本銀行可能被逼充當安倍瘋狂經濟學(Abenomics)的帳房。這種超非常規貨幣政策對經濟的刺激能力如何,筆者深表懷疑,不過央行流動性製造卻已經進入了新的天地,思路有變,手法有變,不變的是鋪天蓋地的流動性,不變的是超低的利率環境,逼著民間資本攀爬風險曲線。

在QE退出上,相信伯南克寧遲勿早

  在QE漩渦愈轉愈大的時候,市場卻迎來了一個反高潮。2013年伊始,聯儲公布12月會議的機要,提到「某些成員認為2013年應該退出QE,另外一些成員認為2014年需要退出」,美國國債遭到拋售。筆者在美國做債券基金經理的一位朋友,聖誕假期延續到新年的第一周,債市出事時反應稍慢,新年的前三個交易日,將去年一年所賺全部賠了回去。

  筆者不認為美國債市的牛市已經逆轉。在聯儲公開市場委員會裡,重要的不是「某些成員」如何想,而是伯南克和他的核心盟友怎麼做。伯南克將其學者和央行行長的所有信譽,全部賭在了QE上面,何況美國經濟已經連續幾年呈現年初樂觀但是年中疲態規律。在QE退出上,相信伯南克寧遲勿早。

  不過這次債市的異動,其實是一個警鐘。美國房地產已經觸底反彈,由此銀行的資產負債表開始改善,美國銀行(BofA)率先宣布在2013年增加貸款估計其他銀行也會跟隨。這個對就業和消費的刺激十分正面,美國的民間經濟活動應該會進一步復甦。由於公共開支的收縮,美國的GDP增長未必有大的起色,但是民間經濟活力增強,經濟的不確定性就有所下降,投資隨之反彈。這個意味著美國的通貨膨脹在不遠的將來也有可能回升,逼央行在QE政策上做一個了斷。這個將成為美國債市的大拐點。拐點並非出現在伯南克宣布退出QE之刻,而是在市場開始預計QE退出之時。

  在聯儲量化寬鬆催生下,美國債市走出了近20年來罕見的大牛市,收益率低到了難以置信的地步,與山姆大叔潛在的違約風險頗不相稱。一旦市場預期出現變化,初期的拋售可能相當猛烈,利率的上升可能很快。屆時受影響的恐怕不僅是債券基金經理,而是整個金融資產的資金成本。

Friday, January 4, 2013

A Common Indicator Mistake

I love it when I read forum entries from people suggesting trading strategies along the lines of:

Enter long when the RSI(14) is above 50, the stochastic (14,5,3) has crossed positive, and the Williams %R(14) is rising from the oversold area

Enter short when the RSI(14) is below 50, the stochastic (14,5,3) has crossed negative, and the Williams %R(14) is falling from the overbought area

(Disclaimer: I just made up that strategy, so don’t trade it without testing it first – the fact is though – I seriously doubt it works)

Look, there are many problems with calling something like this a strategy, but the one I want to discuss today is simply that each of these indicators belongs to the same class of indicator. The RSI, the stochastic and the Williams %R are all oscillators.
An oscillator is a momentum based indicator that moves above and below a horizontal axis representing a position of neutral momentum.

Now each of these three oscillators measures momentum slightly differently. RSI measures it through comparing the magnitude of higher closes to lower closes over a set period of price bars. The stochastic measures it showing where the current close fits relative to a high/low range over a set period of price bars. The Williams %R works on the same concept as the stochastic, showing the relationship between the current close and the high/low range set over a period of price bars, however it does so through a different formula.

Basically, all are measuring the same thing. Quite likely, you’ve added some extra complexity to your strategy that serves no useful purpose at all.

Is there ever a need for more than one oscillator? Possibly, yes. It depends on what you’re trying to achieve. You might use one for indicating oversold or overbought price areas, and a different one for indicating increasing or decreasing momentum. You might even use one indicator twice, with different parameters, to represent momentum over both a shorter and longer time period. In this case, it’s fine.

However, I suspect many traders when developing their trading approach don’t really think about it to this degree. I suspect most just slap an indicator on their chart for no other reason than their platform provides it, and then look through the price history to see whether it shows potential for profits.

In this case, they can probably benefit from removing any redundancy.

So, what indicator classes are there? With some exceptions, the majority will fit within one of these four classes:

Trend indicators, such as moving averages, directional movement or trendlines.

Volatility indicators, such as bollinger bands, average true range or standard deviation.

Oscillators such as RSI, stochastics and Williams %R.

Volume / Market Strength indicators, such as volume, on balance volume or money flow index.

Generally you shouldn’t need more than one indicator to determine trend, one to determine volatility, one to determine momentum, and one to measure volume. In many cases, through a study of price action, you can even eliminate those single indicators and determine trend, momentum and volatility through price alone. Of course, that’s not for all people.

What I encourage you to do is to look carefully at the indicators you’re using. Do you have more than one indicator from any of the indicator classes? If so, is there a valid reason for it, or is it simply redundancy that has slipped unnoticed into your trading strategy? More often than not, I’d suggest your strategy could benefit from removal of that extra redundancy. Trading is one business where ‘simple really is best’.

Stochastic RSI

 

Stochastic RSI in Downtrend

Figure shows a downtrend. The RSI readings are shifted lower because of the trend, and the indicator never reaches its overbought level. By contrast, the stochastic-RSI tags its overbought level several times.
While the standard RSI was skewed lower by the downtrend, the stochastic-RSI generated multiple overbought (sell) signals.

During downtrends, support levels are broken, the resistance levels stairstep lower, and the RSI drops below 30 and never reaches its overbought level. However, the stochastic-RSI will generate overbought readings.
Professional traders have a set of criteria for identifying the type of market environment:
  • uptrend,
  • downtrend,
  • or trading range.
and use the appropriate procedures for the type of market. Understanding how an indicator functions in the three different conditions is an important step towards developing a solid trading plan.
 

History of StochRSI

The StochRSI indicator was introduced by Tushard Chande and Stanley Kroll.
In their book (Publication Date: April 1994), The New Technical Trader, Tushard Chande and Stanley Kroll explain that Relative Strength Index can oscillate between 20 and 80 for extended periods without reaching extreme levels.
In The New Technical Trader, trading system wizard Tushar Chande and money management expert Stanley Kroll present a bold new array of dynamic, price-based, and risk control indicators that provide timely, reliable answers to the difficult analytic challenges of pattern recognition, variable indicator length, and price projection.
Developed by the authors to overcome the specific limitations of existing technical indicators, they can be used in virtually any market—futures, commodities, stocks, indices, and mutual funds. Each new indicator is supported by step-by-step tutorials and real-world trading scenarios that illustrate the best strategies for its use, and show how to adapt it to your trading style. Now you can develop a successful, comprehensive personalized trading plan using:
1-    New momentum oscillators—the Chande momentum oscillator, stochastic RSI oscillator, variable-length dynamic momentum index—that overcome the limitations of the relative strength index
2-    Qstick, a quantitative candlestick that generates objective numbers instead of subjective patterns
3-    Linear regression analysis that quantifies trendiness, projects prices, and prompts the development of a better game plan

Tushard Chande and Stanley Kroll, made this indicator Stochastic RSI to improve sensitivity and generate a lot more overbought and oversold signals.
 

Stochastic RSI vs RSI

As shown below in the chart of the Nasdaq, the Stochastic RSI gives more profitable buy - sell signals and overbought or oversold readings, than the Relative Strength Index: (The chart is dailiy) overbought-oversold-levels
In the chart above, the Relative Strength indicator spent all of its time between overbought and oversold levels.The investor lost his money.( at the beginning: 2125 ----> at the end of the period 1978. ) Although the Stochastic RSI gives a lot of signals (about 20 buy or signals), this is better than "doing nothing". In addition the correct signals are much more than wrong signals. (Notice this chart is basic Nasdaq index chart and our indicator is not calibareted yet. For short term trend or for long term trend prediction, calibration may be useful.)

Also in volatile market condition Stochastic RSI gives many profitable signals, but RSI does not give any buy and sell signals. sell-signal-1

Briefly;
Relative Strength Index  is a price following line that attempts to display the strength of a movement without the associated trend to confuse the issue.
The Stochastic RSI oscillator, is an indicator of an indicator. The standard Stochastic monitors relationships between closing prices and the range. The Stochastic RSI indicator monitors the RSI values and their relationship over a period.

Why does momentum oscillator give false signals in a trending market?

Any oscillator essentially measures the rate of change, or momentum, of price by comparing the current price to price at a certain point in the past. Typically, the difference is the current bar's closing price minus the close x bars ago; alternately, the current price can be divided by the price x bars ago.
Momentum calculations basically "detrend" price data (that is, they minimize trend influence longer than the look-back period), plotting price swings above and below a horizontal line that represents the trend. Some oscillators (such as the RSI and sto-chastics) use calculations to place their values between fixed upper and lower levels (e.g., zero and 100).
Figure 1 shows a hypothetical price series with a two-bar momentum calculation (current price minus price two bars ago) plotted below.
fluctuating-trading-range.jpg
Figure 1:When a market is in a regularly fluctuating trading range, a momentum oscillator will often closely track — and lead — the price swings. Here, when the downside rate of price change begins to slow (after point A), the two-bar oscillator begins to rise, because the difference between each new low is less than the previous difference. Later, when the upside rate of price change slows, the oscillator turns down.
When price is falling at a steady pace, the momentum calculation stays at -20 points (A), meaning the current price is 20 points below the price two days ago at each of these bars. As the rate of descent of the price begins to slow (B), the momentum reading begins to climb (although it is still negative) before the final bottom (C) occurs in the price series. When price turns up, the oscillator crosses above zero into positive territory (D).
The oscillator continues to rise as the price climbs (E). The momentum calculation peaks at F and then declines, which means that, although price is still increasing, it is gaining at a slower rate. For a momentum calculation to keep rising, the price gains must continue to increase in size; if the gains are the same from day to day, the momentum indicator will be flat. Price itself does not peak until point G. This "leading" characteristic of oscillators is the primary reason traders gravitate toward them.
But this leading characteristic can also place you on the wrong side of the trend. For example, in Figure 2 the oscillator bottoms (A) ahead of price (B).
trend-effect.jpg
Figure 2:A typical momentum oscillator will give repeated false signals in a trending market. In this case, price continues to rise although the momentum indicator twice peaks and moves lower.

The market rises and the oscillator peaks (C), but price continues to a new high (D). The oscillator peaks a second time (E), but price continues to advance. The oscillator is "diverging" from price, which in this case is a false indication of a reversal. The rally might be losing momentum, but price is nonetheless moving higher — and it could continue to do so for an indeterminate amount of time.
Comparing the price action in Figures 1 and 2 can explain why the oscillator looked beneficial in the former and not the latter. The calculation is detrending the price action and showing the current cycle of the market. If that cycle happens to fit the oscillator's look-back period then the oscillator will lead the tops and bottoms just as the trader hopes. If it doesn't, the indicator will give false indications of peaks and bottoms. This occurs because oscillators typically use fixed look-back periods and do not adjust to the market's ever-changing cycle length.
Some technicians use sophisticated mathematics to determine the current dominant market cycle and adjust their indicators on the fly. A simpler solution is to track an oscil lator's range by comparing its current value to a certain past value — in other words, create an oscillator of an oscillator.
Comparing the current oscillator reading to the range of its readings over a given period creates a new indicator that is more in tune with dynamic market action. For example, when the market cycles become short (as they did in Figure 2) and cause the oscillator to turn up from a higher level than the previous oscillator bottom, a dynamic oscillator will pick up on this event. The stochastic-RSI is a hybrid indicator that accomplishes this goal.

StochRSI

Developed by Tushard Chande and Stanley Kroll, StochRSI is an oscillator that measures the level of RSI relative to its high-low range over a set time period. StochRSI applies the Stochastics formula to RSI values, instead of price values. This makes it an indicator of an indicator. The result is an oscillator that fluctuates between 0 and 1.
In their 1994 book, The New Technical Trader, Chande and Kroll explain that RSI can oscillate between 80 and 20 for extended periods without reaching extreme levels. Notice that 80 and 20 are used for overbought and oversold instead of the more traditional 70 and 30. Traders looking to enter a stock based on an overbought or oversold reading in RSI might find themselves continuously on the sidelines. Chande and Kroll developed StochRSI to increase sensitivity and generate more overbought/oversold signals.

StochRSI is quite a volatile oscillator that frequently becomes overbought and oversold. For short-term trend identification, it can help to lengthen the calculation period and apply a short moving average to smooth the data. Momentum favors rising prices when the 10-day SMA of StochRSI is above .50 and falling prices when below .50. Chart 4 shows Chevron (CVX) with 20-day StochRSI and a 5-day SMA of the indicator. The 5-day SMA moved above .50 in mid February just after the stock gapped higher. The gap and moving average cross above .50 were short-term bullish signals. A falling flag/wedge formed in late February. Notice how CVX found support in the gap zone. The uptrend continued with a flag/wedge breakout and the stock advanced above 80. Even though StochRSI dipped below .50 in late March, the 5-day SMA held above .50 to keep the uptrend alive until late April. This short-term signal turned into a two month uptrend.
StochRSI - Chart 4
Unfortunately, not all signals are this picture perfect. There will be whipsaws, even when using a 5-day SMA with 20-day StochRSI. For example, a consolidation during a trend can cause the 5-day SMA of StochRSI to gyrate above/below the .50 line before continuing or reversing the trend. Chart 5 shows Yahoo! with 20-day StochRSI and its 5-day SMA for smoothing. The moving average broke above .50 in mid February to turn momentum bullish. This was followed by a resistance breakout for Yahoo! the first day of March. As the stock consolidated with a falling channel in late March, the 5-day SMA for StochRSI(20) dipped below .50 twice (red oval). These dips proved short-lived as the stock broke channel resistance and StochRSI moved above .80 to show strength. The trend did not end until the 5-day SMA moved below .50 AND Yahoo! gapped down.
StochRSI - Chart 5
Chart 6 shows Yahoo! with a bearish signal from StochRSI that did not take hold right away. The 5-day SMA for 20-day StochRSI moved below .50 to turn momentum bearish the second week of October. Yahoo! broke support for confirmation, but this break did not hold as the stock surged to 18 a few days later. The immediate recovery and bounce back above 17 formed a bear trap. Even though Yahoo! surged, the 5-day SMA for StochRSI remained below .50 and momentum did not confirm. The subsequent gap above 17.50 turned out to be an exhaustion gap as Yahoo! failed at resistance (18), filled the gap, broke support again and moved sharply lower into November. Talk about volatility.
StochRSI - Chart 6

Conclusion

StochRSI is like RSI on steroids. RSI produces relatively fewer signals and StochRSI dramatically increases the signal count. There will be more overbought/oversold readings, more centerline crosses, more good signals and more bad signals. Speed comes at a price. This means it is important to use StochRSI with other aspects of technical analysis for confirmation. The examples above use gaps, support/resistance breaks and price patterns to confirm StochRSI signals. Chartists can also employ other complementary indicators, such as On Balance Volume (OBV) or the Accumulation Distribution Line. These volume based indicators do not overlap with momentum oscillators. Chartists should also experiment with various settings and learn the nuances of StochRSI before using it in the real world.

Tuesday, January 1, 2013

货币战争已在全球悄然上演 各主要央行纷纷吹响"宽松"号角

“2012”的末日谣言已经不攻自破,然而回首这一年,一场激烈的货币战争已在全球悄然上演,各主要央行纷纷吹响“宽松”的号角,以期待本国经济能在全球经济战中立于不败之地。

★美联储
美联储在2012年不但延长扭转操作,还两次开启“印钞机”,将量化宽松规模扩大至每月850亿美元,同时还为失业率和通胀设立数字门槛。很显然,美联储要以最快的速度扩大资产负债表,若本轮宽松措施凑效,美联储有望提前加息,不过这要取决于美国就业市场状况,投资者密切关注2013年最初几个月的非农就业数据和失业率数据。

美联储于12月会议上宣布每月扩大资产购买规模450亿美元,以替换原有的扭转操作措施,此后的宽松规模将达到每月850亿美元。美联储同时指出,将在失业率超过6.5%,且1-2年期通胀预期低于2.5%时继续维持利率在当前低位水平。

美联储在9月会议上宣布,推出第三轮量化宽松政策(QE3),即每月购买400亿美元机构抵押贷款支持债券(MBS)。另外,美联储还延长维持超低利率的时间至2015年中期,此前承诺至少至2014年底。美联储在6月会议上宣布将“扭转操作”延长至2012年年底,并将规模扩大2670亿美元,此前规模为4000亿美元,累计为6670亿美元。

澳洲国民银行(NationalAustraliaBank)驻悉尼货币策略主管阿特里尔(RayAttrill)表示,很显然,美联储要以最快的速度扩大资产负债表,这一如市场预期,在这种情况下,美元正好遭到抛售。

瑞士信贷(CreditSuisseAG)预计,美联储加息时间将比伯南克预计的2015年中段提前不少,不过这里还是存在一定的不确定性,那就是美国就业市场是否可以持续稳步改善,在2013年最初的几个月,非农就业人口数据和失业率数据料将吸引更多关注。

展望2013年,美联储将启动每月850亿美元的资产购买计划,直至失业率降至低于6.5%,以及1-2年期通胀预期超过2.5%,自从美联储12月会议为失业率和通胀设立了数字门槛,未来一年市场将着重关注这两项指标,若失业率逐步下降且通胀率逐步走高,那么预计联储将继续维持当前的货币政策不变,否则不排除联储祭出更多宽松的可能性。

★欧洲央行
欧洲央行在2012年7月会议上降息25个基点,这也是该央行自去年12月以来首次降息,时至今日,该行一直维稳货币政策。要把欧元区的利率水平从当前的0.75%历史低位再向下调的话,空间已是非常有限,然而市场流传着一种说法,那就是该央行有可能将利率调降至负值,恐怕这还要看2013年欧元区经济以及欧债局势的进一步演化了。

欧洲央行在7月会议上降息25个基点,至0.75%。在通货膨胀压力有减弱迹象的情况下,欧洲央行此举在一定程度上缓解了衰弱的欧元区经济所承受的压力。

这是欧洲央行自去年12月以来首次降息。此次降息后,欧洲央行的再融资利率已低于1%,也就是2008年雷曼兄弟(LehmanBrothers)申请破产时的水平。

调查报告显示,货币市场交易员预计欧洲央行不会将存款利率调降至负值。28位受访交易员中,18位称欧洲央行不会将存款利率调降至零下方,其余的人则认为会。调查还显示,在受访的28位交易员中,18位预计欧洲央行在未来12个月不会实施正式的量化宽松计划,或者使用新印的钞票购买债券。

欧洲央行首席经济学家普拉特(PeterPraet)指出,要把欧元区的利率水平从当前的0.75%历史低位再向下调的话,空间已是非常有限,因而,欧元央行当前更应当采取措施来确保较低的利率水平能够被贯彻到实体经济中并发挥作用。

欧洲央行在最近的几次政策会议上皆宣布按兵不动,原因在于尽管经济状况不佳,但是通胀水平目前仍徘徊在相对的高位,但对于未来能否进一步降息这一状况,欧洲央行的政策委员会成员在会议上也确实有过讨论。

普拉特在接受媒体采访时指出,目前欧元区经济领域中面临的最大问题在于超低的利率水平并没有完全渗入到实体经济领域中,然而,这一状况近来已经开始逐步得到改观,而欧洲央行也因而暂时没有采取进一步措施的必要。他指出,鉴于利率水平已经非常地低,欧洲央行目前的操作空间已极为有限。

展望2013年,欧洲央行进一步降息的可能性已很渺小,因当前利率已处于历史低位,且欧元区通胀水平仍徘徊在高位;但另一方面,加息的概率也极低,因欧元区经济在2013年料将维持疲软,到明年下半年才有望缓慢复苏。鉴于此,预计该央行未来一年料维稳货币政策。

★英国央行
英国央行在2012年维持利率在0.5%不变,但全年两次扩大宽松规模,当前的总宽松规模达3750亿英镑。2013年英国央行进一步宽松的大门依然敞开,但是门槛却拔高不少。值得期待的是,加拿大央行行长卡尼即将就任下届英国央行行长,但他可能不会像市场所预期的那样鹰派。

英国央行在7月会议上扩大宽松规模500亿英镑,至3750亿英镑,以帮助经济摆脱衰退。在稍早的2月份会议上,英国央行将量化宽松规模扩大500亿英镑,至3250亿英镑。

荷兰银行(ABNAmro)经济学家JoostBeaumont表示:“尽管英国央行购买更多公债的大门仍敞开,但我们认为采取进一步行动的门槛很高。”