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This Nobel-Winning Economist Predicted Bitcoin’s Formidable Rise in 1991 – Bitcoinist

Almost 30 years ago, Nobel Prize-winning American economist Milton Friedman said he would like to have money controlled by a computer. He also said it would be a better world without the Federal Reserve. One of his two desires is already happening in the form of Bitcoin. In fact, he seems to have predicted its formidable rise in 1991. And with the FEDs incessant money printing causing growing criticismis it a question of time before the other one comes true as well?

Its almost eerie watching this short clip in which Friedman appears to talk about Bitcoin, an invention that would come some 18 years later.

As the main advocate opposing the Keynesian government policies in place today, Friedman promoted a macroeconomic viewpoint known as monetarism. Rather than the FED stepping in and printing money as they see fit, he argued that there should be a slow and steady expansion of money supply.

With the historic bailouts and QE that we see going on today in response to the coronavirus pandemic, Friedman would probably be turning in his grave. He expressed his desire back in 1991 to have money controlled by a computer that could not interfere and adjust the policy at will.

The video clip was posted on the Bitcoin Twitter channel and naturally garnered scores of likes, retweets, and applause. Some of the comments said:

He would prolly be all in with Bitcoin if he was still alive

And others stated:

Well make it happen, Milton

Of course, with Bitcoin being the most successful experiment of tamper-proof decentralized money running across computers (nodes), its easy to forget that there were precursors to Bitcoin.

David Chaum released DigiCash in 1989 which made use of cryptography for private payments and introduced the concept of public and private keys. The project garnered support from libertarians and small groups in favor of a digital currency that could be transferred internationally free from government control.

While DigiCash and other projects pre-Bitcoin failed to gain traction,Friedman was no stranger to the fact that there was a need for electronic money. He believed that it would happen in the future. In fact, in that same year, he said:

One thing we are still lacking and will soon develop is reliable e-cash a method by which money can be transferred from A to B on the Internet without A knowing B and vice versa

With Bitcoin proposing a viable alternative to fiat and entirely free from central actors; will Friedmans second desire come true as well? Will the FED be removed completely? Its going to be interesting to how things unfold

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This Nobel-Winning Economist Predicted Bitcoin's Formidable Rise in 1991 - Bitcoinist

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Bitcoin an altcoins becoming weaker at the top of a descending channel – FXStreet

Cryptocurrencies moved slightly up yesterday, although the upward movement range is tightly held by the sellers. Atom (+5%) was the best mover- Meanwhile, the leading cryptos moving up around 1% against their previous 24h level. On the Ethereum-based tokens, the situation is a bit more bullish, with HEDG(+6.85%), QNT(+10%), and MB(+14.8%) and others showing strong behavior.

The market capitalization has improved slightly to$192.35 Billion, but we see on the chart that its linear regression channel is pointing to a slightly bearish outlook. The traded volume has decreased to $32.262 billion (-22%), which is common in trading ranges. Bitcoin dominance is stable at 64.26%.

CNBC warns in an article that coronavirus job losses could go up to 47 million and raise the unemployment rate to 32 percent as estimated by St Louis Federal Reserve projections. St. Louis Fed President James Bullard says that this effect should be short-lived and that the economy will quickly recover.

China's digital yuan is reported to be tested in four cities. According to this information, the wallet app for the digital yuan is available for download in for cities: Shenzhen, Chengdu, Suzhou, and Xiongan.

Chinese DeFi startup dForce has raised $1.5 million. The action was led by Multicoin Capital, Huobi Capital, and China Merchants Bank International.

Bitcoin hash rate has recovered from the dip after the black Thursday and reaches the level of 122.9 EH/s, attained on March 2. Hash rate refers to the computational power used by miners to create a new block. A high hash rate is good for the network, as it makes it more robust against malicious attacks.

Bitcoin has been retracing the last bearish candle made on Monday's early morning. But the price has been rejected once more at the $7,000 level and is moving in a tight channel. The MACD is almost flat, as is the Bollinger bands. BTC is still following a descending channel, with the current action near the upper limit of the channel. The last candles are showing weakness, although with tiny volume. Thus, we consider that BTC does not show any direction at the moment. Sellers should wait for a breakout below the $6,800 level, whereas buyers should seek a breakout of the $7,000 level.

Standard Pivots

Support

Pivot Point

Resistance

6,634

7,042

7,333

6,350

7,740

5,922

8,030

Ethereum moved from the lower to the upper side of the descending channel. The price found new buyers at the level of $160 and has been mildly rejected from there. We see its price moving in the upper side of the Bollinger bands, and the MACD slightly up. We see also that the ascending trendline has acted as a resistance barrier. Thus, although there is some buying power, the current situation limits its upside movement. At the same time, the fact that the price is at the top of a channel makes it likely a move to its bottom. The levels to watch are $165 to the upside and $ 154 to the downside. A strong breakout of one of these levels will show the future direction.

Support

Pivot Point

Resistance

142

159

176

125

193

108

209

Ripple has moved to the middle of the Bollinger bands, in a retracement that has been stopped by the $0.19 resistance level. The Bollinger bands are moving horizontally as the price approaches the upper side of the descending channel. The recent candles are making a kind of ascending triangle that shows an improvement of the asset, as buyers came in earlier on each candle. That may indicate an increasing buyer power that may send the asset higher.

The buyers should wait for the breakout of the powerful $0.19 resistance. Sellers should come in after the price closes below $0.184.

Support

Pivot Point

Resistance

0.1770

0.1910

0.2030

0.1650

0.2170

0.1500

0.2300

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Bitcoin Cash Price Analysis: BCH/USD bulls giving up the fight as $200 beckons – FXStreet

Bitcoin Cash price continues to drift further and further away from the recent high achieved at $281. While the brief rally supported by its halving last week, a post halving rally has failed to materialize. Instead, BCH/USD has slipped below several key support areas including $250 and $230.

Meanwhile, Bitcoin Cash is trading at $223 as buyers battled the increasing selling pressure in a bid to enact a reversal. Seller congestionat $225 is expected to continue limiting the movement during the Asian session on Wednesday. Moreover, gains targeting $250 will have to face the resistance at the 100 SMA currently holding the position at $223.67 in the 4-hour range and the 50 SMA at $241.

Bitcoin Cash bulls stand a chance of pushing for recovery as long as they defend the ascending channel support. However, a dive under $220 could easily force BCH/USD down a painful journey to test $200.

According to the applied technical indicators such as the MACD, Bitcoin Cash remains vulnerable to losses in the current and even the next sessions of the day. Consequently, the RSI shows that there is a high probability of a sideways trading action between $220 and $225. However, a reversal is still within the picture following a period of consolidation.

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Bitcoin Cash Price Analysis: BCH/USD bulls giving up the fight as $200 beckons - FXStreet

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FBI Warns Surge in Bitcoin (BTC) and Cryptocurrency Scams Likely As Fraudsters Try to Capitalize on Coronavirus – The Daily Hodl

The Federal Bureau of Investigation just issued an alert to people of all ages, warning that Bitcoin (BTC) and cryptocurrency scammers are likely to find new ways to steal funds by taking advantage of the coronavirus pandemic.

According to a news release published by the US agency on Monday, people should watch out for potential work-from-home scams, investment scams, threatening emails or letters and efforts to lure customers into buying non-existent treatment or equipment.

Developments in cryptocurrency technology and an increasing number of businesses accepting it as payment have driven the growing popularity and accessibility of cryptocurrency. There are not only numerous virtual asset service providers online but also thousands of cryptocurrency kiosks located throughout the world which are exploited by criminals to facilitate their schemes

Although there are legitimate charities, investment platforms, and e-commerce sites that accept payment in cryptocurrency, pressure to use a virtual currency should be considered a significant red flag.

The FBI has also released a set of tips on how to avoid scammers.

The agency says people should always verify that a company or charity is legitimate and accepts crypto assets before sending funds. Consumers should also do their own thorough research on any potential investment opportunities.

In addition, people should avoid using personal bank accounts for work-related or business-related activity and report any threats to the FBI before taking action.

The FBI says it now has an entire team at its Criminal Investigative Division thats targeting crypto scammers to stop money laundering and fraud.

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FBI Warns Surge in Bitcoin (BTC) and Cryptocurrency Scams Likely As Fraudsters Try to Capitalize on Coronavirus - The Daily Hodl

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Bitcoin Price Analysis: BTC Bulls Continue Their Struggle To Defend $6,800 With Bears On The Horizon – Coingape

Bitcoin saw a small 1.18% price rise today as the cryptocurrency continues to battle to remain above the $6,800 support level. $6,800 had provided significant resistance in March and early April and therefore is expected to provide an equal amount of support moving forward.

However, if the tide turns, and Bitcoin falls beneath $6,800, it could result in the cryptocurrency unwinding back beneath $6,000. Luckily, the bulls have battled to remain above this level over the past 5-days of trading and have been successful thus far.

BTC/USD Daily CHART SHORT TERM

Analyzing the daily chart above, we can clearly see Bitcoin hitting resistance at $7,400 last week and then rolling over to drop into the $6,800 level. More specifically, the cryptocurrency has managed to remain above support at $6,765 which is provided by a short term .236 Fibonacci Retracement level.

The market is also battling to remain above support provided by a rising support trend line after rebounding from here today.

Bitcoin is still bullish but a close beneath $6,800 would turn it neutral.

If the buyers can push higher, the first level of resistance is located at $7,000. Above this, resistance can be found at $7,174 (bearish .618 Fib Retracement), $7,400, $7,500, and $7,676 (1.618 Fib Extension).

On the other hand, if the sellers push beneath the $6,765 support, added support can be found at $6,500, $6,319 (.382 Fib Retracement), and $6,000 (.5 Fib Retracement).

Key Levels

Support:$6,800, $6,500, $6,100, $6,000, $5,911, $5,786, $5,636, $5,600, $5,500, $5,467 $5,200, $5,000, $4,800, $4,672, $4,577, $4,139, $4,000, $3,912, $3,500, $3,436.

Resistance: $7,000, $7,174, $7,400, $7,500, $7,676, $8,000, $8,073, $8,250, $8,461, $8,672, $8,979, $9,000, $9,100.

Summary

Article Name

Bitcoin Price Analysis: BTC Bulls Continue Their Struggle To Defend $6,800 With Bears On The Horizon

Description

Bitcoin saw a 1.18% price increase over the past 24 hours of trading as the cryptocurrency continues to battle to remain above $6,800.The cryptocurrency was trading above $7,000 last week but rolled over before the weekend to drop beneath this support.

Author

Yaz Sheikh

Publisher Name

Coin Gape

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Bitcoin exchange ErisX gets added to TradeStation Crypto – Decrypt

ErisX has just been added to TradeStation Crypto, the cryptocurrency arm of the popular TradeStation platform.

ErisX is a digital asset spot and futures trading platform that also offers clearing services. As a regulated futures exchange, ErisX targets institutions, individuals and brokers that prefer to trade on a platform that is accountable to the Commodity Futures Trading Commission (CFTC).

TradeStation Crypto is billed a gateway to crypto markets and allows customers to trade cryptocurrencies on several markets (now including ErisX) using a single account. TradeStation Crypto is most commonly used by institutional and high-volume traders, since it waives maker fees for those with an account balance of over $100,000, below that, traders are subject to a 0.5% maker/taker feefar higher than most popular cryptocurrency exchanges.

Customers of TradeStation Crypto will now be able to access ErisX spot markets on the platform, and will be able to execute trades on these markets by using TradeStation as an intermediary. ErisX hopes this will make cryptocurrencies more accessible to retail customers registered on TradeStation. Supported assets include Bitcoin, Bitcoin Cash, Ethereum and Litecoin.

Making our safe, regulated, familiar market structure available through TradeStation expands the opportunities to trade digital assets to a wider audience that values surveilled, fair and professionally run market centers, said Thomas Chippas, CEO of ErisX in the press release.

Last December, ErisX became one of just a small handful of crypto derivatives trading platforms to offer physically delivered Bitcoin futures. As the name implies, these Bitcoin futures are settled in BTC, whereas most other platforms, like Binance and BitMEX, instead settle their futures in USD or stablecoin-equivalent. As of yet, the platform hasnt been able to capture the same success as Bakktthe current market leader in physically delivered Bitcoin futures.

Todays announcement marks the latest in a series of moves designed to improve retail access to cryptocurrency markets. Just last week, ErisX was added to Fidelity Digital Assets, a platform that provides enterprise trading and Bitcoin custody services to large businesses and institutions. Just like with TradeStation Crypto, Fidelity Digital Assets customers will now be able to access the ErisX cryptocurrency spot market

Have a news tip or inside information on a crypto, blockchain, or Web3 project? Email us at: tips@decrypt.co.

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Infragistics Adds Predictive Analytics, Machine Learning and More – Patch.com

Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal's newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These enhancements allow businesses to quickly analyze and gain insights from internal and external data to sharpen decision-making.

Some of these advanced functions include:

Outliers DetectionEasily detect points in your data that are anomalies and differ from much of the data set.

Time Series ForecastingReveal will make visual predictions based on historical data and trends, useful in applications such as sales and revenue forecasting, inventory management, and others.

Linear RegressionReveal finds the relationship between two variables and creates a line that approximates the data, letting you easily see historical or future trends.

"Our new enhancements touch on the hottest topics and market trends, helping business users take actions based on predictive data," says Casey McGuigan, Reveal Product Manager. "And because Reveal is easy to use, everyday users get very sophisticated capabilities in a powerfully simple platform."

Machine Learning and Predictive Analytics

Reveal's new machine learning feature identifies and visually displays predictions from user data to enable more educated business-decision making. Reveal reads data from Microsoft Azure and Google BigQuery ML Platforms to render outputs in beautiful visualizations.

R and Python Scripting

R and Python are the leading programming languages focused on data analytics. With Reveal support, users such as citizen data scientists can leverage their knowledge around R and Python directly in Reveal to create more powerful visualizations and data stories. They only need to paste a URL to their R or Python scripts in Reveal or paste their code into the Reveal script editor.

Big Data Access

With support for Azure SQL, Azure Synapse, Goggle Big Query, Salesforce, and AWS data connectors, Reveal pulls in millions of records. And it creates visualizations fastReveal's been tested with 100 million records in Azure Synapse and it loads in a snap.

Additional connectors include those for Google Analytics and Microsoft SQL Server Reporting Services (SSRS). While Google Analytics offers reports and graphics, Reveal combines data from many sources, letting users build mashup-type dashboards with beautiful visualizations that tell a compelling story.

New Themes Match App's Look and Feel

The latest Reveal version includes two new themes that work in light and dark mode. They are fully customizable to match an app's look and feel when embedding Reveal into an application and provide control over colors, fonts, shapes and more.

More Information

For in-depth information about Reveal's newest features, visit the Reveal blog, Newest Reveal FeaturesPredictive Analytics, Big Data and More.

About Infragistics

Over the past 30 years, Infragistics has become the world leader in providing user interface development tools and multi-platform enterprise software products and services to accelerate application design and development, including building business solutions for BI and dashboarding. More than two million developers use Infragistics enterprise-ready UX and UI toolkits to rapidly prototype and build high-performing applications for the cloud, web, Windows, iOS and Android devices. The company offers expert UX services and award-winning support from its locations in the U.S., U.K., Japan, India, Bulgaria and Uruguay.

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Machine Learning as a Service Market Coronavirus (COVID-19) Impact Analysis with Global Innovations, Competitive Analysis, New Business Developments…

Machine Learning as a Service Market report provide the COVID19 Outbreak Impact analysis of key factors influencing the growth of the market size (Production, Value and Consumption). This Machine Learning as a Service industry splits the breakdown (data status 2014-2019 and Six years forecast 2020-2026), by manufacturers, region, type and application. This study also analyses the Machine Learning as a Service market Status, Market Share, Growth Rate, Future Trends, Market Drivers, Opportunities and Challenges, Risks and Entry Barriers, Sales Channels, Distributors and Porters Five Forces Analysis.

Machine Learning as a Service Market competitive landscapes provides details by topmost manufactures like (Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, Tencent, Alibaba, UCloud, Baidu, Rackspace, SAP AG, Century Link Inc., CSC (Computer Science Corporation), Heroku, Clustrix, Xeround), including Capacity, Production, Price, Revenue, Cost, Gross, Gross Margin, Growth Rate, Import, Export, Market Share and Technological Developments

Get Free Sample PDF (including COVID19 Impact Analysis, full TOC, Tables and Figures)of Machine Learning as a Service[emailprotected]https://www.researchmoz.us/enquiry.php?type=S&repid=2302143

Machine Learning as a Service Market Competition by Manufacturers (2020 2026): Machine Learning as a Service Market Share of Top 3 and Top 5 Manufacturers, Machine Learning as a Service Market by Capacity, Production and Share by Manufacturers, Revenue and Share by Manufacturers, Average Price by Manufacturers By Market, Manufacturers Manufacturing Base Distribution, Sales Area, Product Type, Market Competitive Situation and Trends, Market Concentration Rate.

Scope of Machine Learning as a Service Market:Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.

On the basis of product type, this report displays the shipments, revenue (Million USD), price, and market share and growth rate of each type.

Private clouds Public clouds Hybrid cloud

On the basis on the end users/applications,this report focuses on the status and outlook for major applications/end users, shipments, revenue (Million USD), price, and market share and growth rate foreach application.

Personal Business

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Machine Learning as a Service Market: Regional analysis includes:

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Nothing to hide? Then add these to your ML repo, Papers with Code says DEVCLASS – DevClass

In a bid to make advancements in machine learning more reproducible, ML resource and Facebook AI Research (FAIR) appendage Papers With Code has introduced a code completeness checklist for machine learning papers.

It is based on the best practices the Papers with Code team has seen in popular research repositories and the Machine Learning Reproducibility Checklist which Joelle Pineau, FAIR Managing Director, introduced in 2019, as well as some additional work Pineau and other researchers did since then.

Papers with Code was started in 2018 as a hub for newly published machine learning papers that come with source code, offering researchers an easy to monitor platform to keep up with the current state of the art. In late 2019 it became part of FAIR to further accelerate our growth, as founders Robert Stojnic and Ross Taylor put it back then.

As part of FAIR, the project will get a bit of a visibility push since the new checklist will also be used in the submission process for the 2020 edition of the popular NeurIPS conference on neural information processing systems.

The ML code completeness checklist is used to assess code repositories based on the scripts and artefacts that have been provided within it to enhance reproducibility and enable others to more easily build upon published work. It includes checks for dependencies, so that those looking to replicate a papers results have some idea what is needed in order to succeed, training and evaluation scripts, pre-trained models, and results.

While all of these seem like useful things to have, Papers with Code also tried using a somewhat scientific approach to make sure they really are indicators for a useful repository. To verify that, they looked for correlations between the number of fulfilled checklist items and the star-rating of a repository.

Their analysis showed that repositories that hit all the marks got higher ratings implying that the checklist score is indicative of higher quality submissions and should therefore encourage researchers to comply in order to produce useful resources. However, they simultaneously admitted that marketing and the state of documentation might also play into a repos popularity.

They nevertheless went on recommending to lay out the five elements mentioned and link to external resources, which always is a good idea. Additional tips for publishing research code can be found in the projects GitHub repository or the report on NeurIPS reproducibility program.

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Nothing to hide? Then add these to your ML repo, Papers with Code says DEVCLASS - DevClass

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Global Machine Learning Software Market 2020 by Manufacturers, Countries, Type and Application, Forecast to 2025 – Bandera County Courier

A leading research firm MarketsandResearch.biz added the latest industry report entitled Global Machine Learning Software Market 2020 by Manufacturers, Countries, Type and Application, Forecast to 2025 offers comprehensive research updates and information related to market growth, demand, opportunities in the global Machine Learning Software market. The report provides a close summary of the major segments within the industry. The quickest, as well as the slowest market segments, are lined properly during this report. The study comprises market analysis on a worldwide scale covering present and traditional growth analysis, competitive analysis, and also the expansion prospects of the central regions. Factors related to this market such as raw material affluence, financial stability, technological development, trading policies, and increasing demand boosting the market growth are further covered in the report.

This report also includes the cost and profit status of global Machine Learning Software and marketing status, Market growth drivers and challenges in this market. It analyzes the region-wise industrial environment, regulatory structure, competitive landscape, raw material resources that might influence the global industry. Additionally, provides in-depth analysis and insights into developments impacting businesses and enterprises on the global and regional level. Moreover, the report evaluates market size, industry status and forecast, competition landscape and growth opportunity. It categorizes the global market by companies, region, type, and end-use industry.

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Each geographic segment of the global Machine Learning Software market has been independently surveyed along with pricing, distribution and demand data for geographic market notably: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Segment by product type, this report focuses on consumption, market share, and growth rate of the market in each product type and can be divided into On-Premises, Cloud Based,

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The entire product consumption growth rate across the applicable regions as well as consumption market share is described in the report. It tracks and analyzes competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Machine Learning Software market.

Customization of the Report:This report can be customized to meet the clients requirements. Please connect with our sales team (sales@marketsandresearch.biz), who will ensure that you get a report that suits your needs. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements.

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