Right now Bitcoin is bouncing along a 10k bottom. It has spent three weeks in a tight (for Bitcoin) trading range. To date, there is good support at this level and with tightening volatility it continues to look ripe for a breakout. If it is bottoming at 10K as it seems, then this is a good accumulation point.

Metal believe they have created the “Libra killer” which will challenge Facebook with crypto

Metal functions as a P2P payment app, and now supports various tokens including Bitcoin (BTC) and Ether (ETH). 

“We’re going to finally bring crypto to the People — in ways that Facebook Libra only wishes they could,” Finman, who himself rose to fame as the world’s youngest Bitcoin millionaire, summarized.  

He continued that the offering would ultimately destroy Libra, Facebook’s digital currency platform which has yet to see the light of day. 

Ethereum has announced last week a list of six different code changes to be activated for Ethereum’s next system-wide upgrade, Istanbul.

"Istanbul" will be executed in two parts. The first, which will feature all six code changes, is tentatively expected to execute on the Ethereum network in October. These improvements are expected to increase speed, efficiency and security.

More to follow as the implications are clearer

虚拟货币比特币在过去一个多月里吸引了足够多的眼球,三年前,这种由开源的P2P软件产生的数字虚拟货币,首次公开交易的市场价仅为0.03美元,而今年4月,1比特币曾经飙升到266美元,涨幅超过5000倍。

正当“中国大妈“痴迷黄金时,另一种看不见摸不着的投资品比特币开始成为一些新潮玩家尤其是“技术宅”的投资热点。三年前,这种由开源的P2P软件产生的数字虚拟货币,首次公开交易的市场价仅为0.03美元,而今年4月,1比特币曾经飙升到266美元,涨幅超过5000倍。

虽然名为“币”,但在当下,比特币更多是被作为股票一样投机炒卖。由于目前国内支持比特币支付的商家很少,大多数人是通过兑换人民币来炒卖获利。目前成都涉猎比特币的圈子估计仅有几百人,其中大部分人从事IT相关行业。

~ 新奇:只是一串密码 ~

比特币是一种开源的P2P虚拟货币,无法跟踪,牢不可破。有人用它贩卖毒品,有人用它支持自己喜欢的内容,还有人用它来玩扑克。

据成都的一些比特币玩家介绍,最初比特币的使用方法仅由一篇论文介绍,而这篇论文的作者到底是不是真有其人,至今未能查证。

比特币并不是一枚一枚的钱币,而是由网络节点在完成一个特定数学问题计算之后生产出的,简而言之,就是用联网的电脑运行特定程序,通过复杂的计算后得到的一串密码。

~ 特点:无央行可自产 ~

一位名为“北漂书生”的网友在一篇文章中这样描述比特币的特性。“与大多数货币不同的是,比特币没有‘中央银行’,而是使用遍布整个网络的分布式数据库来记录货币的交易。”

他说,由于比特币被设计为允许匿名的所有权与使用权,既可以以计算机文件的形式保存在个人电脑中,也可以储存在第三方托管服务,可以通过比特币地址发送给互联网上的任意一个人。

记者从成都一些比特币玩家处了解到,要获得比特币,目前主要有两个途径,一种是通过交易来购买,另一种就是自己用计算机来生产,后一种方式又被形象地称为“挖矿”。

~ 成为发烧友只因对设计思想着迷 ~

记者调查了解到,也许是原理过于复杂抽象,比特币玩家仍然非常小众,成都涉猎比特币的圈子估计仅有几百人,其中大部分人从事IT相关行业。

其中的一位王先生告诉记者,他“捣鼓”比特币主要是出自兴趣,目前并没有盈利。据他了解,在成都的比特币“发烧友”,既有经验老到的投资玩家,两天收益率就超过50%,还有学生玩家则是用暑期打工的钱买币,如今持币已价值好几万元,仍坚决持有不套现。

在成都高新区一家游戏公司工作的小白就是一名“挖矿人”。他告诉记者,自己成为比特币的“发烧友”完全是“对它的设计思想着迷”。

小白从2012年开始留意比特币的,在研究了比特币的产生原理后,他就迷上了比特币,立即下载了比特币客户端和“挖矿人”软件,用自己的电脑“挖矿”。

据小白透露,现在最便宜的“挖矿机”要上万元,价格在几十万元上下的也不少。他介绍,一台顶级的“挖矿机”,如今一天顶多就挖到一两个比特币,一般性能的机器可能连续开好几年也未必能挖到一个。因此,不少玩家是组团合作挖矿再平分挖到的比特币。疯狂走势

~ 从0.03美元到266美元再到70美元 ~

2009年,比特币完成了作为货币的首次交易。随着越来越多的人加入到比特币市场,自然而然建立起来比特币与其他货币的兑换汇率,这也为后来的疯狂投机奠定了基础。

开始时,比特币的汇率极低,1比特币起初可兑换0.03美元,之后长期在兑换0.1美元以下徘徊,随后慢慢提高,到了2013年一路突破30美元、40美元,4月1日终于突破100美元,4月10日是比特币由强转衰的分水岭:在10日晚间上涨至纪录高位266美元,相当于人民币1885元,然而在触及这一高位后,行情突然像坐上断了轨道的过山车呼呼下坠,几个小时内暴跌164美元,至102美元。峰回路转,11日凌晨比特币又突然大涨至190美元附近,但而后重新掉头下行,最低触及52美元一线。

在经历昼夜的大落-大起-大落后,比特币头上的光环消退过半。之后基本在70美元一线震荡。

正是4月的这次疯狂涨跌,让比特币引起了更多中国玩家的兴趣。

~ 潜在风险黑客袭击、诈骗犯罪 ~

自从比特币问世,就不断有人质疑它的安全性。2011年6月19日,Mt.Gox比特币交易中心的安全漏洞导致1比特币一度跌至1美分,一个黑客从感染木马的电脑上盗用了Mt.Gox的安全证书,从而把比特币转到自己的账号上并抛售。

这也正是比特币的致命软肋:作为“存在于网络上的货币”,黑客袭击对比特币造成的危害将更加致命。5月15日,美国国土安全局冻结全球最大的比特币交易所Mt. Gox拥有的两个银行账户,这意味着美国对比特币的监管走出了实质性一步。位于日本的Mt.Gox交易所为全球超半数比特币兑换各国政府的真实货币。

比特币最近的暴涨暴跌是其受到监管机构关注的原因。但长期以来,监管机构一直担忧比特币被用于洗钱等非法活动,抑或其本身就是诈骗犯罪的一部分。

Watch Bitcoin closely at the moment.

After a spectacular run up there is consolidation and the break below the 11300 barrier was a key to this.

With the breakdown, we may test 10k again so time to wait and see. This is likely overdue so it should precede the next run-up as long as it holds above 10K.




Mike Tyson is making headlines with his Fight to Fame’s planned fan token offering; the tokens will apparently confer betting and voting rights on their holders and form part of a transparent blockchain-based economy for the entire ecosystem.

This follows the Litecoin Foundation partnered with premier kickboxing league Glory to become the official cryptocurrency for its online merchandise platform. 

French soccer club Paris Saint-Germain was the first big-name club to enter the blockchain space when they partnered with blockchain platform Socios.com to incentivize and monetize fan engagement and experiences via a token ecosystem.

More to come in this space i would say

BTC is currently range-bound between 11 and 12k. This range looks like it is holding well. It is a good thing to see it holding but keep watch for a break-up or down for signs of future short term direction.  I think we will see more upward price action if we break above 11,750. A break below 11,300 would signify a downward move. Hard to pick. For long term holders - still a buy

So what is driving the Bitcoin price rise over the last few weeks? For a start, global stock markets are tumbling due to the trade war talk between the US and China which is rattling investors. Secondly, investors are waking up to Bitcoin as a hedge. Currencies are a lot more volatile than they have been and the interest rates attached to them are only going down. Thirdly, the threat of currency manipulation by major players especially in the form of devaluation creates uncertainty and therefore makes Bitcoin a more considered option. speculative....as are world markets right now.
For Litecoin, the halving did finally provide a boost with LTC/USD gaining just 13% over the past 24 hours. Many traders had factored in an increase already and bought, so when the announcement occurred the increase was limited.
The rise in bitcoin’s dominance rate to the highest level in over two years indicates the price rise is sustainable. Easily breaking 11k the next resistance is 12k and with the Bitcoin dominance at multi-year highs we could easily see a run to 13k. Buyer exhaustion is something to watch for but no signs are evident.
If there is a close above 11k we are going to see some more positive price action. This resistance level once broken will prove the recent floor of $9500 and give some comfort that BTC can create a new floor of 11k. Watch BTC closely this week

That was important. Bitcoin looked like it may get down to 9 K It has held Maybe interest rate reductions have created new demand as returns on cash dwindle to almost nothing.

In five days, litecoin will commence a reward halving.– This is aimed at preserving cryptocurrency’s purchasing power. The mining reward is currently set at 25 litecoins ($2,500) per block and will drop to 12.5 litecoins ($1,200) per block on Aug. 5. So is it time to buy more? My thought is that the halving is already priced in so no need to rush in. It's a great coin to own but like all crypto it's volatile. If the price of Bitcoin moves up then it will follow the price rise.
The Bitcoin Network is Now 8 Times More Powerful Than It Was at $20K Bitcoin’s transaction security has become much stronger The hash rate has broken records as the figure nudges 80 TH/s. This is eight times exceeding the computing power it had when the price of Bitcoin was around $20,000 in late 2017. Good news as we head into greater takeup and adoption

Bitcoin broke through the 10K support band after the hearing on Facebook’s Libra cryptocurrency project with the Banking Committee of the United States Senate.

Facebook's Head of Calibra, warned that if the United States fails to act on the issue, the world will eventually see another cryptocurrency that would be controlled by someone else. He said: 

“If our country fails to act, we could soon see a digital currency controlled by others whose values differ radically from ours.”

debate continues...


In the age that we are living in, do you which is the technology causing maximum disruption? It is Artificial Intelligence, as per Gartner’s 2019 CIO Survey. So, it is clear that AI is being adopted and implemented across a plethora of industries. But, there is one thing that is blocking organizations from embracing AI in an optimum fashion which is the lack of suitable talent. There is an insufficient supply of AI engineers and data scientists in the market which is becoming a bottleneck for industries on their way to success.

According to the Chief Executive Officer of Hired, Mehul Patel, there is a 38% increase in the demand for competent data engineers along with a 27% enhancement in the demand for smart machine learning engineers, according to the new State of Software Engineer report. 

As a matter of fact, employers are projected to face major challenges while seeking tech geniuses who won a flair for AI and machine learning, hence, there is going to be an intense competition amongst employers when hiring laborious tech experts. Which clearly indicates that this is a golden era for professionals well-versed with contemporary technologies. These developments are propelling companies to offer exorbitant salaries to their Machine learning engineers who are easily earning 20k more than other tech personnel around the globe.

Believe it or not, top-notch firms are going bonkers over AI and are willing to pay big bucks to acquire strong teams of people possessing AI certifications who can help them get a competitive advantage in their industry. A good example of this is McDonald's that ended up paying 300 Million Dollars for Dynamic Yield which is known to be an Artificial Intelligence company that enables other firms to strengthen their customer experience. But, what McDonald's achieved might not be a feasible move to make for other companies.

So what are the other routes to AI implementation? Here are some pragmatic ideas:

Automation

Artificial intelligence is taking a leap into multiple industries. Therefore, a myriad of automation tools has come into the picture which is used by startups as well as tech biggies. For instance, Microsoft has conceived a group of systems in order to streamline processes.

Implementing an effective automation platform for data science is the best thing that companies can do to make their data science teams more productive. Automation is the way to simplify tasks that were previously carried out by data scientists which enables important resources of a firm like data engineers, business analysts along with AI engineers to focus on a large-scale project that can simply be rum through GUI operation.

Automation has solved the issue of seeking new talent since most of the data science processes are performed by machines which helps the organizations maintain proficient data science teams at a low cost. But, this is definitely not a universal solution indicating that companies would not need qualified data scientists and AI engineers. To tell the truth, employers will still be in deep need for tech geeks holding AI certification, but at least, automation can ensure that the highly adroit employees do not waste their time mundane and monotonous activities.

Reskilling

 In case, your workforce consists of people who are working as business analysts or have a functional knowledge of big data, they can prove to be eligible candidates for AI certifications that can infuse relevant skills into these employees. Certifications form the most solid avenue to learning Python as well as TensorFlow.

By good fortune, there is a whole line of certifications in that can help your employees delve into the world of AI and machine learning. Moreover, employers can make the smart move of hiring certified AI engineers who can lead big-scale technical projects along with mentoring freshman of the AI field.

Tech giants with sufficient resources can prepare for in-house training which can be conducted in large groups. There must company-wide training sessions and it is only possible when the organizations foster a data-driven culture. It is then that AI will be fully embraced and business leaders shall work hand in hand with data science teams to fulfill the overall objectives of the firm.

... or jump to: 2018

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