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Let's interpret the macroeconomic data of the United States tonight. I was still outside when the data was released just now. I just got home. 1. The number of initial unemployment claims in the United States for the week ending May 18 (10,000 people), the previous value was 22.3, the expected value was 22, and the announced value was 21.5. The value shows that the US job market is strong. There are 3 possibilities for the emergence of this data: 1. The economy is strong, the economy is good, companies are willing to expand, and recruit more new employees, resulting in fewer initial unemployment claims 2. The increase in workers' wages leads to satisfaction with the work of existing workers, reducing the desire to leave and re-employ, but the competitiveness of the job is enhanced. At the same time, people who do not meet the job requirements cannot find a job, and would rather receive relief than participate in low-wage work. 3. The labor market is strong, and people's expectations for finding a new job increase, and their confidence increases. There are three possibilities. According to the current layoffs of major companies in the United States, the main factor for the reduction in initial unemployment claims this time is mainly the second possibility. Of course, from the data, it can also be interpreted as a strong economy (I personally think it is unreliable) At the same time, the data is not conducive to inflation control on the surface, reducing the market's optimistic expectations of interest rate cuts. Second, the initial value of the US S&P Global Manufacturing PMI in May, the previous value was 50, the expected value was 50, and the announced value was 50.9. This value is the purchasing managers' view on the manufacturing industry, including new orders, employment, prices and other sub-items. At the same time, with 50 as the base line, 50 or above represents an industry increase, and 50 or below represents an industry contraction. The data is higher than the previous value and expectations, indicating that the US economic activity has grown, corporate confidence has increased, and corporate investment intentions have increased. However, we can still see that the manufacturing PMI index has been hovering around 50. Although the United States has been trying to save and restore its manufacturing industry, it has achieved little success at present. Of course, looking at the data alone, it can still be interpreted as a strong US economy, which is not conducive to inflation control and optimistic expectations of interest rate cuts. In fact, if it is inflation caused by the strong manufacturing industry, it is the easiest data to digest. Unfortunately, the manufacturing PMI data is strong but limited. Third, the initial value of the US S&P Global Services PMI in May, the previous value was 51.3, the expected value was 51.3, and the announced value was 54.8. This index is the purchasing managers' view on the service industry, including new orders, employment, prices and other sub-items. Compared with the manufacturing PMI, the service industry PMI is the highlight. In fact, the core problem of the difficulty in controlling inflation in the United States is that the main source of inflation does not come from the manufacturing industry, because the inflation brought by the manufacturing industry is benign inflation, and the economy will digest part of it by itself. Instead, it is the inflation other than the manufacturing industry that has been putting pressure on the US inflation, such as the current service industry. The inflation brought by the service industry or investment field is the most difficult to control and the most likely to rebound. It is also the cause of the excessive gap between the rich and the poor. At present, the data is not only higher than the expectations and the previous value, but even stronger than expected. The data also strengthens the expectation of a strong US economy. After all, 80% of the US GDP comes from the service industry, but it also means greater inflationary pressure. It is not conducive to inflation control and optimistic expectations of interest rate cuts. Fourth, the total number of new home sales in the United States in April was annualized (10,000 households), the previous value was 66.5, the expected value was 67.9, and the announced value was 63.4. This value refers to the number of houses with signed sales contracts. There are four possibilities for this value: 1. Economic weakness and declining purchasing power. Of course, this data contradicts the above strong US economic data. 2. Rising interest rates have led to rising home purchase rates. Although the current US federal funds rate remains at 5.25%-5.5%, the actual base rate has reached 7.5%, and the interest rate for civilians to borrow from banks is basically around 7%. Higher interest rates lead to increased loan costs and reduced willingness to buy houses with loans. 3. Rising house prices. There is no valid data to support this, but according to my personal understanding, in the United States, especially in major areas, a large number of houses are controlled by people and the prices are raised. I will not mention which group is the main one here. Those who are interested can find out for themselves. 4. Insufficient housing supply. Literally, this does not exist. For the United States, there is a lot of land and a small population, so the housing supply is still sufficient, but the houses in good locations and regions are artificially controlled, and the ability of the lower-class people to buy houses has indeed weakened. Housing data is not very important, but the main factors for the weakening data are 2 and 3. High interest rates and rising housing prices have led to a decline in new housing data. At the same time, housing data involves several other data, such as home buyers purchasing furniture and appliances, financial banks selling mortgage certificates, and intermediary fees. The decline in this data unilaterally indicates that inflationary pressure has decreased, which is helpful for the optimistic expectations of interest rate cuts, but this data cannot be used as the main measurement data, so the influence is relatively small. Of the above four data, three are from the data to show the strength of the US economy, which can also be interpreted according to the strength of the US economy, so it brings pressure on inflation control, and intuitively unfavorable to the PCE index next Friday, especially the core PCE index. The current data has brought certain pressure, and the market's expectations for the Fed's optimistic interest rate cut have been reduced. At the same time, the market heard that the expectation of interest rate cuts in 2024 was postponed from November to December, which once caused the market sentiment to decline in the short term. However, the main short-term sentiment of the crypto market is still based on the Ethereum ETF data released early this morning. If the Ethereum ETF is passed, even if only the single file 19b-4 is passed, the short-term market will rise, and then it may trigger Sell the news, a short-term decline, and digest the expected landing sentiment. If it is not passed, the market sentiment is bearish, and the current macro data is not optimistic about the short-term interest rate cut this year, and the decline may increase. At present, the current macro data can only serve as an inducement to the market trend and cannot be the main reason. #BTC走势分析 #5月市场关键事件 $BTC

Let's interpret the macroeconomic data of the United States tonight. I was still outside when the data was released just now. I just got home.

1. The number of initial unemployment claims in the United States for the week ending May 18 (10,000 people), the previous value was 22.3, the expected value was 22, and the announced value was 21.5.

The value shows that the US job market is strong.

There are 3 possibilities for the emergence of this data:

1. The economy is strong, the economy is good, companies are willing to expand, and recruit more new employees, resulting in fewer initial unemployment claims

2. The increase in workers' wages leads to satisfaction with the work of existing workers, reducing the desire to leave and re-employ, but the competitiveness of the job is enhanced. At the same time, people who do not meet the job requirements cannot find a job, and would rather receive relief than participate in low-wage work.

3. The labor market is strong, and people's expectations for finding a new job increase, and their confidence increases.

There are three possibilities. According to the current layoffs of major companies in the United States, the main factor for the reduction in initial unemployment claims this time is mainly the second possibility. Of course, from the data, it can also be interpreted as a strong economy (I personally think it is unreliable)

At the same time, the data is not conducive to inflation control on the surface, reducing the market's optimistic expectations of interest rate cuts.

Second, the initial value of the US S&P Global Manufacturing PMI in May, the previous value was 50, the expected value was 50, and the announced value was 50.9. This value is the purchasing managers' view on the manufacturing industry, including new orders, employment, prices and other sub-items. At the same time, with 50 as the base line, 50 or above represents an industry increase, and 50 or below represents an industry contraction.

The data is higher than the previous value and expectations, indicating that the US economic activity has grown, corporate confidence has increased, and corporate investment intentions have increased.

However, we can still see that the manufacturing PMI index has been hovering around 50. Although the United States has been trying to save and restore its manufacturing industry, it has achieved little success at present.

Of course, looking at the data alone, it can still be interpreted as a strong US economy, which is not conducive to inflation control and optimistic expectations of interest rate cuts. In fact, if it is inflation caused by the strong manufacturing industry, it is the easiest data to digest. Unfortunately, the manufacturing PMI data is strong but limited.

Third, the initial value of the US S&P Global Services PMI in May, the previous value was 51.3, the expected value was 51.3, and the announced value was 54.8. This index is the purchasing managers' view on the service industry, including new orders, employment, prices and other sub-items.

Compared with the manufacturing PMI, the service industry PMI is the highlight. In fact, the core problem of the difficulty in controlling inflation in the United States is that the main source of inflation does not come from the manufacturing industry, because the inflation brought by the manufacturing industry is benign inflation, and the economy will digest part of it by itself. Instead, it is the inflation other than the manufacturing industry that has been putting pressure on the US inflation, such as the current service industry. The inflation brought by the service industry or investment field is the most difficult to control and the most likely to rebound. It is also the cause of the excessive gap between the rich and the poor.

At present, the data is not only higher than the expectations and the previous value, but even stronger than expected. The data also strengthens the expectation of a strong US economy. After all, 80% of the US GDP comes from the service industry, but it also means greater inflationary pressure. It is not conducive to inflation control and optimistic expectations of interest rate cuts.

Fourth, the total number of new home sales in the United States in April was annualized (10,000 households), the previous value was 66.5, the expected value was 67.9, and the announced value was 63.4. This value refers to the number of houses with signed sales contracts.

There are four possibilities for this value:

1. Economic weakness and declining purchasing power. Of course, this data contradicts the above strong US economic data.

2. Rising interest rates have led to rising home purchase rates. Although the current US federal funds rate remains at 5.25%-5.5%, the actual base rate has reached 7.5%, and the interest rate for civilians to borrow from banks is basically around 7%. Higher interest rates lead to increased loan costs and reduced willingness to buy houses with loans.

3. Rising house prices. There is no valid data to support this, but according to my personal understanding, in the United States, especially in major areas, a large number of houses are controlled by people and the prices are raised. I will not mention which group is the main one here. Those who are interested can find out for themselves.

4. Insufficient housing supply. Literally, this does not exist. For the United States, there is a lot of land and a small population, so the housing supply is still sufficient, but the houses in good locations and regions are artificially controlled, and the ability of the lower-class people to buy houses has indeed weakened.

Housing data is not very important, but the main factors for the weakening data are 2 and 3. High interest rates and rising housing prices have led to a decline in new housing data. At the same time, housing data involves several other data, such as home buyers purchasing furniture and appliances, financial banks selling mortgage certificates, and intermediary fees.

The decline in this data unilaterally indicates that inflationary pressure has decreased, which is helpful for the optimistic expectations of interest rate cuts, but this data cannot be used as the main measurement data, so the influence is relatively small.

Of the above four data, three are from the data to show the strength of the US economy, which can also be interpreted according to the strength of the US economy, so it brings pressure on inflation control, and intuitively unfavorable to the PCE index next Friday, especially the core PCE index. The current data has brought certain pressure, and the market's expectations for the Fed's optimistic interest rate cut have been reduced.

At the same time, the market heard that the expectation of interest rate cuts in 2024 was postponed from November to December, which once caused the market sentiment to decline in the short term.

However, the main short-term sentiment of the crypto market is still based on the Ethereum ETF data released early this morning.

If the Ethereum ETF is passed, even if only the single file 19b-4 is passed, the short-term market will rise, and then it may trigger Sell the news, a short-term decline, and digest the expected landing sentiment.

If it is not passed, the market sentiment is bearish, and the current macro data is not optimistic about the short-term interest rate cut this year, and the decline may increase.

At present, the current macro data can only serve as an inducement to the market trend and cannot be the main reason.

#BTC走势分析 #5月市场关键事件 $BTC

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下周宏观经济数据以及对市场影响; 6月3日周一, 21:45 美国5月标普全球制造业PMI终值,该数值的公布将会使用户判断5月份美国制造业的整体情况,从而推断经济情况是否运转正常。目前该数据前值50.9,预期50.9,4月份制造业PMI对比3月份走强,不过第一季度GDP整体调整走弱的大前提下,该数值可能会符合预期或者低于预期值。 对市场价格走势影响较弱。 22:00,美国5月份ISM制造业PMI,相较于标普全球的制造业PMI,ISM数据更可以直观的展现美国经济的情况,目前前值49.2,预期49.6,按照当前美国用数据保持自身经济强势的目的性下,该数值基本低于预期,高于前值,保持中性,带来预期,经济继续保持强势,但是低于市场预期的强度,对通胀控制有利并且增强细心。 对市场价格走势影响,利于通胀控制,利于降息预期,利好市场,波幅并不会太大。对美股来说好坏参半,对美元有削弱效果。 6月5日周三, 20:15,美国5月ADP就业人数公布,俗称小非农,用于衡量美国私营部门的就业数据,目前前值19.2,预期17.5,数据如果高于前值证明企业在扩张,经济向好,如果低于前值,证明企业收缩,经济放缓。不过根据目前的前值与预期值来看,预期公布数值应该是高于预期,低于前值,经济活动放缓,但是依旧是保持预期之上的强劲。 如果数据符合预期,对加密市场短期影响不大,对股市有鼓励作用。 不过需要注意,从去年开始,在数据强势下的美国经济,其实很多大型企业尤其是科技企业一直在裁员,所以小非农数据可能无法更直观的判断美国当前的经济情况。 21:45 加拿大6月5日央行利率决议,前值5.00%,预期4.75%,市场预期是加拿大央行存在降息的可能性,如果降息利空加元,从而会影响美国的进出口,投资等领域,如果保持与前值相同,则利好加元。因为对加拿大的经济情况近期缺乏调研,这里不做太多判断与预期。 美国5月标普全球服务业PMI终值,与周一的制造业终值一样,都是用于判断美国经济情况的指标之一,尤其是作为服务业,美国的GDP 70%基本是来自服务业产生。而4月份PCE指数也是因为服务业的影响保持较高数值。 前值54.8,暂无预期值,个人预期服务业指数依旧不会太弱,可能会与前值相同甚至超出前置, 如果按照预期数值公布,则不利于通胀乐观预期,当然对风险市场影响短期较小。 22:00,美国5月ISM非制造业PMI,基本上非制造中占比最大的同样也是服务业,目前前值49,4,预期51,市场预期该数值可能走高,不利于5月的通胀数据,影响较小。 22:30,美国之5月31日当周EIA原油库存,该数据可以有效的了解当前美国的原油库存数据,同时也是衡量美国油价的重要数据之一,美国能源价格以及相关能源产业以及运输业的影响,不只是受外部国际原油价格的影响,同时内容供需关系也会影响价格走向。该数据目前是前值减少415.6万桶,库存减少证明原油需求增加,价格上涨,而本期数据公布库存增加,则代表原油市场需求减弱,价格走跌,有助于通胀的控制。 6月6日周四, 20:30 美国至6月1日当周初申请失业金人数,也是可以对美国就业市场判断的数据,不过因为前后挨着大小非农,本周这个数据的影响被大大削弱,可以暂时忽略。 6月7日周五, 20:30美国5月失业率,衡量美国就业市场的重要数据,同时也是影响美国通胀数据以及推动美联储可能降息的重要数据。前值3.9%,预期3.9%,公布值我们直接参考 倪老师之前提到的观点,失业率触及4%将会引发美联储降息的可能,所以数值一旦高于预期与前值,对市场大利好。不过,按照目前美联储当前暂时避免谈论降息的思路,数据基本与预期与前值相同,有概率低于预期,代表美国就业市场依旧保持强劲,经济前瞻性更好,不利于通胀控制与降息预期。 对美股有利好的作用,就业数据强也代表企业在扩展,经济前景更好,但是对于整个风险市场利空,降息预期大大被减弱。 美国5月非农就业人口,效果与失业率相同,就业数据也是展现美国就业市场情况的重要因素之一。该数值前值17.5,预期值19,预期就业人口增加,不过一旦符合预期,就业市场就存在短期过热的可能,对于通胀控制的压力增加,个人预期该数据应该是低于预期,但是等于或者高于前值,代表就业市场依旧强劲但是不过热,对通胀压力不会太大,同时也有理由不谈降息。 一旦数据符合预期公布,利空加密市场,对美股短期有利好效果。 对于美国数据的公布下的风险市场,给大家总结一点——预期调控下的市场。 美联储依旧是依赖各种预期来平衡经济强劲,通胀可以控制,同时不谈降息的可能。 #美国6月经济数据 #BTC走势分析
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宏观分析是否适用于微观结果? 宏观分析就是吹概念,跟着宏观走方向反而错,看宏观亏成狗! 对不起,还是忍不住吐槽一下,这是从去年到现在我数次看到的结论,关于宏观经济的观点,很多人是报以嗤之以鼻的态度,甚至觉得宏观分析做交易就是“死”。 宏观其实是一种视角,是一种观察金融市场角度而已,那么因此我们可以理解,其实观察市场还有更多的角度,根据角度问题,我也查了下资料,给大家简单分享: 宏观分析:用于评估整体经济环境,预测市场趋势,对长期投资策略提供指导。 微观分析:帮助理解个别公司或行业的市场表现,制定具体投资决策 技术分析:用于短期交易决策,识别买卖信号。 基本面分析:用于长期投资决策,寻找被低估的股票。 定量分析:用于风险管理、资产配置和投资组合优化。 行为金融学分析:解释市场异常波动和泡沫现象,制定更合理的投资策略。 事件驱动分析:捕捉短期交易机会,根据事件影响进行套利。 环境、社会和治理(ESG)分析:为注重可持续发展和社会责任的投资者提供指导。 以上是在传统金融领域的角度细分的大概,我们可以看出,观察市场的角度有很多,而不同的角度观察得出的结论与适用场景不同。 而分析,就是利用多角度,多维度的视角去理解看待市场,然后根据想要达到的预期来完成结论。 以上的分类,其实很多大佬都占有其中的好几项,虽然不是全能,但是也会参考更多的角度去分析结果,但是,每个人的预期与目的不同,你对一个看牛熊周期的人说短期收益如何,本身就属于耍流氓。而你对一个追求短期利润的人来说未来多么好的价值收益,也属于画饼耍流氓。每个人的预期不同,所以想要的结果也不同,而用到的理论也不同。只有理智的判断,合理的运用才可以找到适合自己的。永远没有最好的策略,只有最适合自己的。 就像玄学,为何有人学会了就是大师,有人却成了神棍? 核心的原因就是,有人学了之后,懂得哪怕是玄学,带给我们的依然是一个参考值,是需要再结合人生的很多变量来参考的,所以最终结论未必正确,能给你的答案也是模糊的。 而有的人,学过之后,就刻板的认为得出的结果就是一定的,那么过分的肯定认可就变得极端,导致最终患得患失,甚至自我怀疑,最终疯疯癫癫。 所以,不管是宏观,还是微观亦或者技术等等,大家都是以各视角的参考来学习判断,而且互联网上的各类大佬也在不停地学习其他角度的东西来验证自己的思考模式,这是一种自我的成长与验证。 你跟宏观讲今天比特币是涨1000点还是跌1000点,就像你跟微观技术大佬讲未来何时降息引发金融风险一类的都是同理,大家可能都抱有各自的观点,只是很多人并未全部表达出来而已,而这种不表达,并不代表不会。 而观众一定要了解自己想要的是什么结果,再去决定自己想要的是什么内容。 你今天想开合约,但是你去看宏观理论内容,你亏少了都算是幸运的。宏观讲究的大周期的判断,是资产整体收益的预期,而短期波动不考虑,而你的目的是合约,是赚短期的钱,所以你看了忽略短期风险的内容,你就会发现你是亏的。 同理,你想屯币到牛市,结果看了短期观点,认为暴跌,结果把筹码卖掉,再也接不回来,同样的道理。短期交易暴跌可能是1万点,但是你比特币的成本可能是在3万,你为何要担心?为何要恐惧?这是因为你不明白你要的是什么! 微观技术短期的收益来源于实力,同样宏观分析大周期的资产成长也是来源于实力。 很多人可能觉得宏观不做交易,做了也是亏,但是殊不知,宏观分析的人也会借助国家微观的判断以及技术来做短线交易,只不过投资比例不同而已。 也有很多人认为微观技术一直赚的不错,收益很好,但是殊不知一年的盈利,大周期上判断错可能一个错误就是收益大回撤。 其实,在一级 二级市场,做交易,只要你的钱不离开交易,其实严格意义上都不算是你的。 人类的视角太慢了,慢到有时候只在乎一小时几小时的波动,所以在这类慢的视角中,很多人都看不到未来1年3年5年的周期性,导致只能在之后的某天听别人暴富自由的传说,殊不知,被人在小周期被折磨过多少次,最终坚持到了大周期的胜利! 宏观看大局,微观技术看细微,这个时候各类技术角度都要结合,大家互相尊重,也互相认可,然后互相学习才是王道。 #BTC走势分析 #宏观与微观
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