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The U.S. government’s been trying to stop encryption for 25 years. Will it win this time? – Tom’s Guide

SAN FRANCISCO In the age of mass digital surveillance, how private should your data and communications be? That question lies at the heart of the encryption panel that kicked off the Enigma Conference here yesterday (Jan. 27).

Four cryptography experts discussed the origins of the first "Crypto Wars" in the 1990s, the state of the current Crypto Wars between the government and technology companies two weeks ago, the U.S. attorney general called out Apple for not unlocking a terror suspect's iPhones and what's at stake now for consumers, companies and governments.

"It is a basic human right for two people to talk confidentially no matter where they are. This is sacrosanct," said Jon Callas, senior technologist at the American Civil Liberties Union (ACLU) and a veteran of the fight between the U.S. government and tech companies over the use of cryptography to protect digital communications in the 1990s.

It may be a human right, but most countries have not enshrined confidential conversations in their legal codes. What started as a resurgent fight against government surveillance in the wake of the documents leaked by Edward Snowden in 2013 has now bloomed into a larger struggle over who gets to encrypt communications and data.

In Snowdens wake, end-to-end encrypted messaging has become far more accessible, while Apple and Google have introduced on-device encrypted data storage by default. But access to those services could soon depend on which country you are in and whose digital services you're using.

The 1990s Crypto Wars centered on the Clipper Chip, a hardware chip designed to protect phone users calls from surveillance unless the government wanted to listen in. It was a "backdoor" that was going to be built into every cellphone.

But in 1994, cryptographer Matt Blaze, one of the panelists at yesterday's Enigma Conference talk, exposed security vulnerabilities in the Clipper Chip. Experts spent the next three years finding even more vulnerabilities in the Clipper Chip and fighting in court to prevent its inclusion in devices.

Since the commercial internet was in its infancy at the time, legal and computer security experts had to take on faith that the World Wide Web would eventually be important, Blaze said. With the publication in 1997 of a report on the risks of key recovery that Blaze co-authored, most U.S. federal agencies stopped fighting against the cryptographers.

"The FBI became the only organization arguing that computer security was too good," Blaze said.

Today, government access to encrypted communications through a mandated backdoor is not the law of the land in any single country. But laws requiring varying degrees of government access to encrypted communications are becoming more common, said panelist Riana Pfefferkorn, associate director of surveillance and cybersecurity at the Stanford Law School Center for Internet and Society.

Following the panel discussion, Pfefferkorn said she sees a growing trend, especially in the United States and India, to tie serious liability issues, in both criminal and civil law, to the encryption debate.

"In the U.S., it's child pornography. In India, it's the threat of mob violence," Pfefferkorn said. "They seem like two separate issues, but they're a way of encouraging the regulation of encryption without regulating encryption.

"They're going to induce providers to stop deploying end-to-end encryption lest they face ruinous litigation," she added. "It feels like a bait-and-switch."

Daniel Weitzner, the founding director of the Internet Policy Research Initiative at the Massachusetts Institute of Technology, noted during the panel that India's proposed changes to its intermediary liability law would make internet communications providers ("intermediaries") legally responsible for the actions and speech of their users.

He said India's proposals are similar to changes demanded by U.S. senators, including the EARN IT Act of 2019 authored by Senators Lindsey Graham (R-South Carolina) and Richard Blumenthal (D-Connecticut). Weitzner added that there are other countries with even tougher tech-liability laws on the books.

The United Kingdom passed the Investigative Powers Act in 2016, also known as the Snoopers' Charter. It lets the British government issue statutorily vague Technical Capacity Notices that let it mandate encryption backdoors or otherwise force companies to stop using end-to-end encryption. There's no requirement that the British government has to ever reveal the results of the evaluation process guiding the issuance of the notices.

Australia's Assistance and Access Bill from 2018 is similar, except that it specifically bans the introduction of systemic vulnerabilities into the product in question. What's not clear is another question raised by the legal mandate: Whats the difference between a technical vulnerability and a legally-mandated software backdoor?

As technology itself has grown more complicated and nuanced since the 1990s, so has the burden of responsibility facing its advocates. Proposals to change encryption should be tested "multiple times" strategically and technically, argued the Carnegie Encryption Working Group in September 2019.

And Susan Landau and Denis McDonough said in a column for The Hill that it would be wiser for the tech community to find common ground with governments over data at rest, such as data stored on a locked iPhone, instead of the more contentious data in transit embodied by end-to-end encrypted messaging apps.

Ultimately, the future of the consumer use of encryption is likely to depend heavily on the developers and companies that make it available.

They could split their products, offering different levels of encryption for different countries and regions, as Netscape did in the 1990s, said Pfefferkorn. Or they could refuse to offer encrypted products in countries or regions that demand weaker encryption or backdoor access.

"Or," Pfefferkorn said, "it could be broken for everyone."

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With Streaming Becoming More Prevalent in 2020, it would be better to connect to the Internet with a VPN – gotech daily

Todays era of entertainment and the media has become completely digital. With every major cable TV provider now rushing to release its own streaming platform, the fight to gain customer confidence in choosing the new streaming service is becoming more aggressive both at home and abroad.

As a result, not all streaming opportunities are created equal. For those residing abroad, the ability to stream certain content is not the same as living in the United States. In addition, 2020 is the year of accountability for our tech giants who own the most valuable assets in the world.

In todays era of data breaches and security exploits, personal security and privacy is all the more necessary, especially when online content is streaming. For this reason, it is important for people living abroad and / or traveling frequently internationally to consider using a VPN provider or Virtual Private Network.

A VPN is a service that allows you to access the Internet as if you were connected to a private network anonymously and from any site. So, to bring the idea home if you live in an area where your internet content is restricted, a VPN essentially allows you to bypass that particular area-specific content (cough, china, cough) on the Internet. So yes, you can watch Schitts Creek all the way from India or Russia if you choose.

When you enable or disable your VPN, it creates an encrypted tunnel between your computer and a server operated by the VPN company. By streamlining all your internet traffic through this tunnel, it effectively hides your IP address (your computers social security number) and shows you that your traffic is coming from your VPN (geographically outdated) server and not your computer may be subject to restriction of content restriction. This essentially makes it more difficult for third party advertisers or others to monitor your online activities.

It also helps minimize and / or almost completely the ability of ISPs to sell your anonymous data for profit.

If you are one of these people who flows online through an Amazon Firestick, which is known to allow open source / third party option (assuming you understand that you accept the risk of anything that may happen or result from these downloads), you should probably use a VPN, no matter where you live.

Source: Surfshark

Just last week, CNET released its list of Best VPN Services in 2020, which includes well-known VPN networks such as ExpressVPN, IPVanish VPN, NordVPN and many more.

However, one VPN that we believe is up-and-coming and is completely new is Surfshark.

The most appealing about Surfshark is the ability to add an unlimited number of devices to an account while most of these other VPN networks are cut after a certain number of connections (usually five). But why is that?

The company offers over 1000 servers, while others such as ExpressVPN and NordVPN range from 3,000 to 5,200. However, it is important to note that most servers do not necessarily equal performance the number of servers simply reflects the number of subscribers serving a company.

Geographical location is an important factor to consider as Surfshark currently covers 61 countries exceeding the average in countries such as South America (often overlooked by other providers), Africa, Israel, Japan, Chile, and South Korea to name a few.

As mentioned, no matter where you are (at home or abroad), it is never a good idea in todays digital age to connect directly to the Internet. And the data breaches surrounding Avast and NordVPN antigen and security giant are proof of that.

Last year, antivirus and security giant Avast and NordVPN revealed monthly intrusions that shared a common cause, according to Brian Krebs forgotten or unknown user accounts that gave remote access to internal systems with little more than one password.

The NordVPN data breach, which occurred in March 2018, was unfortunately downgraded by the company, stating that while attackers could use private keys to track and track traffic for some of their customers traffic, monitoring communications routing through one of the companys more than 3,000 servers.

NordVPN blog report on data breach:

The server itself does not contain any user activity logs. None of our applications send user-created credentials for authentication, so usernames and passwords could not be withheld. With the same note, the only possible way to abuse site traffic was to perform a personalized and complex human attack in the middle to keep a single link trying to gain access. silver in NordVPN .

But why wait so long to report the invasion?

When we found out about the vulnerability the data center had a few months ago, we immediately terminated the contract with the server provider and broke all the servers we had rented from them, the company said. We did not disclose the exploitation right away because we needed to ensure that none of our infrastructure could be prone to such issues. This could not be done quickly because of the huge volume of servers and the complexity of our infrastructure.

This brings us back to the important issue of encryption and encryption. In cryptography, a code is an algorithm for performing encryption or decryption. For more information on cryptographers, you can read more here.

Surfshark uses AES-256-GCM, the fastest and most modern encryption method available today. For the unspecified, the AES-GCM over the AES-CBC concludes how secure its cryptography is.

AES is NIST-certified and used by the US government to protect secure data, and many have therefore adopted AES as the standard symmetrical selection cycle. It is an open standard that is free to use for any public, private, commercial or non-commercial use. AES is a symmetric key encryption key, the same key used to encrypt data is also used to decrypt it.

In cryptography, GCM or Galois / Counter Mode is a mode of operation for widely used cryptographic symmetric key cryptographic blocks. For more information on this, you can see an analysis of how encryption blocks work and how GCM plays here.

With Surfshark incorporating this level of encryption, it enables peer-to-peer (P2P) transactions, including BitTorrent, along with its own in-house ad blocker tool, called CleanWeb.

One feature we havent seen much with other providers, which many of our staff uses, is Multihop, a tunnel splitting tool that adds even more security to your connection. With this feature enabled, a VPN connection to one server and then your Internet traffic jumps to a second VPN server for even greater security.

At the end of the day, you want to make sure that you are always connected to the Internet safely and anonymously because black hackers are looking for new ways on your computer. So dont give them.

For more information about Surfshark, you can sign up for a free trial here.

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In Coronavirus Response, AI is Becoming a Useful Tool in a Global Outbreak – Machine Learning Times – machine learning & data science news – The…

By: Casey Ross, National Technology Correspondent, StatNews.com

Surveillance data collected by healthmap.org show confirmed cases of the new coronavirus in China.

Artificial intelligence is not going to stop the new coronavirus or replace the role of expert epidemiologists. But for the first time in a global outbreak, it is becoming a useful tool in efforts to monitor and respond to the crisis, according to health data specialists.

In prior outbreaks, AI offered limited value, because of a shortage of data needed to provide updates quickly. But in recent days, millions of posts about coronavirus on social media and news sites are allowing algorithms to generate near-real-time information for public health officials tracking its spread.

The field has evolved dramatically, said John Brownstein, a computational epidemiologist at Boston Childrens Hospital who operates a public health surveillance site called healthmap.org that uses AI to analyze data from government reports, social media, news sites, and other sources.

During SARS, there was not a huge amount of information coming out of China, he said, referring to a 2003 outbreak of an earlier coronavirus that emerged from China, infecting more than 8,000 people and killing nearly 800. Now, were constantly mining news and social media.

Brownstein stressed that his AI is not meant to replace the information-gathering work of public health leaders, but to supplement their efforts by compiling and filtering information to help them make decisions in rapidly changing situations.

We use machine learning to scrape all the information, classify it, tag it, and filter it and then that information gets pushed to our colleagues at WHO that are looking at this information all day and making assessments, Brownstein said. There is still the challenge of parsing whether some of that information is meaningful or not.

These AI surveillance tools have been available in public health for more than a decade, but the recent advances in machine learning, combined with greater data availability, are making them much more powerful. They are also enabling uses that stretch beyond baseline surveillance, to help officials more accurately predict how far and how fast outbreaks will spread, and which types of people are most likely to be affected.

Machine learning is very good at identifying patterns in the data, such as risk factors that might identify zip codes or cohorts of people that are connected to the virus, said Don Woodlock, a vice president at InterSystems, a global vendor of electronic health records that is helping providers in China analyze data on coronavirus patients.

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The ML Times Is Growing A Letter from the New Editor in Chief – Machine Learning Times – machine learning & data science news – The Predictive…

Dear Reader,

As of the beginning of January 2020, its my great pleasure to join The Machine Learning Times as editor in chief! Ive taken over the main editorial duties from Eric Siegel, who founded the ML Times (also the founder of the Predictive Analytics World conference series). As youve likely noticed, weve renamed to The Machine Learning Times what until recently was The Predictive Analytics Times. In addition to a new, shiny name, this rebranding corresponds with new efforts to expand and intensify our breadth of coverage. As editor in chief, Im taking the lead in this growth initiative. Were growing the MLTimes both quantitatively and qualitatively more articles, more writers, and more topics. One particular area of focus will be to increase our coverage of deep learning.

And speaking of deep learning, please consider joining me at this summers Deep Learning World 2020 May 31 June 4 in Las Vegas the co-located sister conference of Predictive Analytics World and part of Machine Learning Week. For the third year, I am chairing and moderating a broad ranging lineup of the latest industry use cases and applications in deep learning. This year, DLW features a new track on large scale deep learning deployment. You can view the full agenda here. In the coming months, the MLTimes will be featuring interviews with the speakers giving you sneak peeks into the upcoming conference presentations.

In addition to supporting the community in these two roles with the MLTimes and Deep Learning World, I am a fellow analytics practitioner yes, I practice what I preach! To learn more about my work leading and executing on advanced data science projects for high tech firms and major research universities in Silicon Valley, click here.

And finally, Attention All Writers: Whether youve published with us in the past or are considering publishing for the very first time, wed love to see original content submissions from you. Published articles gain strong exposure on our site, as well as within the monthly MLTimes email send. If you currently publish elsewhere, such as on a personal blog, consider publishing items as an article with us first, and then in your own blog two weeks thereafter (per our editorial guidelines). Doing so would provide you the opportunity to gain our readers eyes in addition to those you already reach.

Im excited to lead the MLTimes into a strong year. Weve already got a good start with greater amounts of exciting original content lined up for this and coming months. Please feel free to reach out to me with any feedback on our published content or if you are interested in submitting articles for consideration. For general inquiries, see the information on our editorial page and the contact information there. And to reach out to me directly, connect with me on LinkedIn.

Thanks for reading!

Best Regards,

Luba GloukhovaEditor in Chief, The Machine Learning TimesFounding Chair, Deep Learning World

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Iguazio Deployed by Payoneer to Prevent Fraud with Real-time Machine Learning – Yahoo Finance

Payoneer uses Iguazio to move from detection to prevention of fraud with predictive machine learning models served in real-time.

Iguazio, the data science platform for real time machine learning applications, today announced that Payoneer, the digital payment platform empowering businesses around the world to grow globally, has selected Iguazios platform to provide its 4 million customers with a safer payment experience. By deploying Iguazio, Payoneer moved from a reactive fraud detection method to proactive prevention with real-time machine learning and predictive analytics.

Payoneer overcomes the challenge of detecting fraud within complex networks with sophisticated algorithms tracking multiple parameters, including account creation times and name changes. However, prior to using Iguazio, fraud was detected retroactively, enabling customers to only block users after damage had already been done. Payoneer is now able to take the same sophisticated machine learning models built offline and serve them in real-time against fresh data. This ensures immediate prevention of fraud and money laundering with predictive machine learning models identifying suspicious patterns continuously. The cooperation was facilitated by Belocal, a leading Data and IT solution integrator for mid and enterprise companies.

"Weve tackled one of our most elusive challenges with real-time predictive models, making fraud attacks almost impossible on Payoneer" noted Yaron Weiss, VP Corporate Security and Global IT Operations (CISO) at Payoneer. "With Iguazios Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives".

"Payoneer is leading innovation in the industry of digital payments and we are proud to be a part of it" said Asaf Somekh, CEO, Iguazio. "Were glad to see Payoneer accelerating its ability to develop new machine learning based services, increasing the impact of data science on the business."

"Payoneer and Iguazio are a great example of technology innovation applied in real-world use-cases and addressing real market gaps" said Hugo Georlette, CEO, Belocal. "We are eager to continue selling and implementing Iguazios Data Science Platform to make business impact across multiple industries."

Iguazios Data Science Platform enables Payoneer to bring its most intelligent data science strategies to life. Designed to provide a simple cloud experience deployed anywhere, it includes a low latency serverless framework, a real-time multi-model data engine and a modern Python eco-system running over Kubernetes.

Earlier today, Iguazio also announced having raised $24M from existing and new investors, including Samsung SDS and Kensington Capital Partners. The new funding will be used to drive future product innovation and support global expansion into new and existing markets.

About Iguazio

The Iguazio Data Science Platform enables enterprises to develop, deploy and manage AI applications at scale. With Iguazio, companies can run AI models in real time, deploy them anywhere; multi-cloud, on-prem or edge, and bring to life their most ambitious data-driven strategies. Enterprises spanning a wide range of verticals, including financial services, manufacturing, telecoms and gaming, use Iguazio to create business impact through a multitude of real-time use cases. Iguazio is backed by top financial and strategic investors including Samsung, Verizon, Bosch, CME Group, and Dell. The company is led by serial entrepreneurs and a diverse team of innovators in the USA, UK, Singapore and Israel. Find out more on http://www.iguazio.com

About Belocal

Since its inception in 2006, Belocal has experienced consistent and sustainable growth by developing strong long-term relationships with its technology partners and by providing tremendous value to its clients. We pride ourselves on delivering the most innovative technology solutions enabling our customers to lead their market segments and stay ahead of the competition. At Belocal, we pride ourselves in our ability to listen, our attention to detail and our expertise in innovation. Such strengths have enabled us to develop new solutions and services, to suit the changing needs of our clients and acquire new businesses by tailoring all our solutions and services to the specific needs of each client.

View source version on businesswire.com: https://www.businesswire.com/news/home/20200127005311/en/

Contacts

Iguazio Media Contact:Sahar Dolev-Blitental, +972.73.321.0401press@iguazio.com

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Made in India’ phone, artificial intelligence, machine learning and all that Budget 2020 has for the technology sector – Gadgets Now

GadgetsNow & Agencies | Feb 1, 2020, 05:28 PM IST

1 / 16Made in India' phone, artificial intelligence, machine learning and all that Budget 2020 has for the technology sector

The Union Budget 2020-21 talks about several policies to leverage technology to boost economic growth in India going ahead. Finance minister Nirmala Sitharaman proposed steps to allow private players to build data centre parks along with several measures to help startups. Heres everything about tech that FM announced in Budget 2020.

2 / 16New scheme to make mobile phones, electronics in India

The government will introduce a new scheme to encourage domestic manufacturing of mobile phones, electronic equipment and semiconductor packaging in order to make India a part of the global manufacturing chain and boost employment opportunities.

3 / 16New policy to enable private sector to build Data Centre parks throughout the country

4 / 16Fibre to the Home (FTTH) connections through Bharatnet to link 100,000 Gram Panchayats by 2020

5 / 16Finance minister Nirmala Sitharaman has proposed Rs 6,000 crore for Bharatnet programme in 2020-21

6 / 16For startups, a digital platform to be promoted to facilitate seamless application and capture of IPRs

7 / 16Knowledge Translation Clusters to be set up across different technology sectors including new and emerging areas to help startups

8 / 16This budget has announced steps to help startups build manufacturing facilities

For designing, fabrication and validation of proof of concept, and further scaling up Technology Clusters, harbouring test beds and small scale manufacturing facilities to be established.

9 / 16Two new national level Science Schemes to be initiated to create a comprehensive database to map Indias genetic landscape

10 / 16Early life funding proposed, including a seed fund to support ideation and development of early stage startups

11 / 16Budget 2020 proposes Rs 8,000 crore over five years for National Mission on Quantum Technologies and Applications

12 / 16NABARD to map and geo-tag agri-warehouses, cold storages, reefer van facilities, etc.

13 / 16Targeting diseases with an appropriately designed preventive regime using Machine Learning and AI

14 / 16Up to 1-year internship to fresh engineers to be provided by Urban Local Bodies.

15 / 16150 higher educational institutions to start apprenticeship embedded degree/diploma courses by March 2021

16 / 16Financing on Negotiable Warehousing Receipts (e-NWR) to be integrated with e-NAM.

The Budget 2020 proposes financing on negotiable warehousing receipts (e-NWR) to be integrated with e-NAM. This is likely to help facilitate seamless trading of agricultural products across the country and help realize the full potential of the national agriculture market (eNAM).

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Itiviti Partners With AI Innovator Imandra to Integrate Machine Learning Into Client Onboarding and Testing Tools – PRNewswire

NEW YORK, Jan. 30, 2020 /PRNewswire/ -- Itiviti, a leading technology, and service provider to financial institutions worldwide, has signed an exclusive partnership agreement with Imandra Inc., the AI pioneer behind the Imandra automated reasoning engine.

Imandra's technology will initially be applied to improving the onboarding process for our clients to Itiviti's Managed FIX global connectivity platform, with further plans to swiftly expand the AI capabilities across a number of our software solutions and services.

Imandra is the world-leader in cloud-scale automated reasoning, and has pioneered scalable symbolic AI for financial algorithms. Imandra's technology brings deep advances relied upon in safety-critical industries such as avionics and autonomous vehicles to the financial markets. Imandra is relied upon by top investment banks for the design, testing and governance of highly regulated trading systems. In 2019, the company expanded outside financial services and is currently under contract with the US Department of Defense for applications of Imandra to safety-critical algorithms.

"Partnerships are integral to Itiviti's overall strategy, by partnering with cutting edge companies like Imandra we can remain at the forefront of technology innovation and continue to develop quality solutions to support our clients. Generally, client onboarding has been a neglected area within the industry for many years, but we believe working with Imandra we can raise the level of automation for testing and QA, while significantly reducing onboarding bottlenecks for our clients. Other areas we are actively exploring to benefit from AI are within the Compliance and Analytics space. We are very excited to be working with Imandra." said Linda Middleditch, EVP, Head of Product Strategy, Itiviti Group.

"This partnership will capture the tremendous opportunities within financial markets for removing manual work and applying much-needed rigorous scientific techniques toward testing of safety critical infrastructure," said Denis Ignatovich, co-founder and co-CEO of Imandra. "We look forward to helping Itiviti empower clients to take full advantage of their solutions, while adding key capabilities." Dr Grant Passmore, co-founder and co-CEO of Imandra, further added, "This partnership is the culmination of many years of deep R&D and we're thrilled to partner with Itiviti to bring our technology to global financial markets on a massive scale."

About Itiviti

Itiviti enables financial institutions worldwide to transform their trading and capture tomorrow. With innovative technology, deep expertise and a dedication to service, we help customers seize market opportunities and guide them through regulatory change.

Top-tier banks, brokers, trading firms and institutional investors rely on Itiviti's solutions to service their clients, connect to markets, trade smarter in all asset classes by consolidating trading platforms and leverage automation to move faster.

A global technology and service provider, we offer the most innovative, consistent, and reliable connectivity and trading solutions available.

With presence in all major financial centres and serving around 2,000 clients in over 50 countries, Itiviti delivers on a global scale.

For more information, please visitwww.itiviti.com.

Itiviti is owned by Nordic Capital.

About Imandra

Imandra Inc. (www.imandra.ai) is the world-leader in cloud-scale automated reasoning, democratizing deep advances in algorithm analysis and symbolic AI for making algorithms safe, explainable and fair. Imandra has been deep in R&D and industrial pilots over the past 5 years and has recently closed its $5mm Seed round led by several top deep-tech investors in US and UK. Imandra is headquartered in Austin, TX, and has offices in the UK and continental Europe.

For further information, please contact:

Itiviti

Linda Middleditch, EVPHead of Product StrategyTel +44 796 82 126 24Email: linda.middleditch@itiviti.com

George RosenbergerHead of Product StrategyClient Connectivity ServiceTel: + Email: george.rosenberger@itiviti.com

Christine BlinkeEVP, Head of Marketing & CommunicationsTel. +46 739 01 02 01Email: christine.blinke@itiviti.com

Imandra

Denis Ignatovich, co-CEOTel: +44 20 3773 6225Email: denis@imandra.ai

Grant Passmoreco-CEOTel: +1 512 629 4038Email: grant@imandra.ai

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/itiviti-group-ab/r/itiviti-partners-with-ai-innovator-imandra-to-integrate-machine-learning-into-client-onboarding-and-,c3021540

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After Sinking 97%, This Altcoin Just Woke Up with a 23% Surge – CCN.com

The 29th ranked cryptocurrency NEM (XEM) clawed back almost one-quarter of its value leading into Saturday morning.

The altcoin had previously lost 97.7% of its value in a two-year decline that stretches back to January 2018. This past December, the XEM coin sunk to its lowest value in over 2.5 years.

But on Saturday NEM mounted a resurgence which recovered 23.8% of its value. That saw the coin price rise from $0.041038 up to $0.050845, with the peak arriving at around 6AM (UTC).

That leaves NEM up 32% for the week and just over 64% for the month. NEMs quiet recovery has attracted little fanfare, yet the coin price is now up 71% since its December low.

With no clear catalysts for the pump, were left to speculate on the reasons for NEMs sudden surge. The optimistic view that were at the beginning of a new alt season is supported by the recent good fortune of other major altcoins.

Coins like Bitcoin Cash (BCH), Zcash (ZEC) have already more than doubled since December. In crypto, it may only take a month to double your investment, but knowing when to enter and which coin to back isnt easy.

For example, while other major altcoins followed Bitcoins lead in rebounding out of the December low, their rewards werent distributed equally.

Major altcoins like Ethereum (ETH) and XRP (XRP) have jumped around 30% in value since December. The best performer in the market cap top 100 during the past 30 days was Bitcoin SV (BSV) with 413% growth before it retracted.

Thats followed closely by Bitcoin Gold (BTG), an obvious pump-and-dump coin [Fortune], which surged to the tune of 292%. Point being, theres a little method to be found in the madness.

The only certainty is that the market has been climbing upwards for the past six weeks. Whether this upturn morphs into a full-blown alt season remains to be seen.

This article was edited by Samburaj Das.

Last modified: February 1, 2020 1:55 PM UTC

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Nearly $6,000,000,000 Ready to Move Into Bitcoin, Ethereum, XRP and Altcoin Markets: Crypto Analyst Mati Greenspan – The Daily Hodl

Portfolio manager and crypto analyst Mati Greenspan says billions of dollars are essentially sitting on the sidelines, ready to move into Bitcoin, Ethereum, XRP and the altcoin market at large.

Greenspan is using data from the crypto research firm Messari, which shows that the total value of all stablecoins is just shy of $6 billion. Stablecoins are digital currencies that are pegged to traditional assets like fiat. Theyre designed to maintain a steady value and offer crypto traders an easy way to sidestep the extreme volatility of the crypto markets.

Greenspans theory implies that the billions of dollars in the stablecoin market represent traders who have decided to exit their positions in BTC, ETH, XRP and other crypto assets and are waiting for the optimal time to re-enter the market.

Binance Research released a report in November on the habits of 69 clients with crypto allocations ranging from $100,000 to $25 million.

The report found that 96% of those investors are using the stablecoin market, with Tether (USDT) ranking as the favorite.

USDT is the dominant stablecoin with 40.25% usage, holding the top ranking for both Chinese and English survey respondents. USDC, TUSD, PAX are following close behind USDT, and several English survey respondents wrote in BUSD under Others, reflecting an initial interest by our institutional & VIP clients

Putting the broader results in line with respective market capitalizations, the overall use for each stablecoin is roughly in line with the rank of its respective market capitalization.

Featured Image: Shutterstock/Vink Fan

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Nearly $6,000,000,000 Ready to Move Into Bitcoin, Ethereum, XRP and Altcoin Markets: Crypto Analyst Mati Greenspan - The Daily Hodl

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Which altcoins have outperformed Bitcoin in January 2020? – Yahoo Finance

The new year couldnt have got off to a better start for cryptocurrency enthusiasts.

After the significant Bitcoin pump that took place early in the year, where the price of BTC increased close to 20% in the space of a few days, it seems the market has now stabilised.

Meanwhile, even with Bitcoins rise, some top altcoins have experienced some impressive gains versus the worlds pre-eminent cryptocurrency.

Lets take a look at the top altcoins that have outperformed Bitcoin so far this year, courtesy of Mesari.io.

As you can see, the top-performing altcoins in January are Bitcoin SV, Dash, Bitcoin Gold, Ethereum Classic, and Zcash.

However, looking at the last column, with the exception of Bitcoin SV, most altcoins are still well below their all-time highs versus Bitcoin.

Nevertheless, today my goal is to look into which altcoins might help you increase your Bitcoin portfolio in the short term.

During January 2020, some altcoins doubled in price versus Bitcoin, meaning you could conceivably greatly increase your Bitcoin holdings if you spread your investment out to include some top-performing altcoins and then convert your profit back into Bitcoin.

As always, the views in this article should not be considered financial advisement. The volatility of the crypto markets means money can easily be lost. Never invest more than you can afford to lose and always do your own due diligence.

Lets take a look at the top three coins of January 2020: Bitcoin SV (BSV), Dash (DASH), and Bitcoin Gold (BTG).

Above we can see the chart for Bitcoin SV vs Bitcoin, courtesy of TradingView. BSV has been performing quite well versus BTC in 2020 so far.

At the time of writing, BSV has pumped from 1,300,000 sats to nearly 3,300,000 since the start of the year. That represents a 153% gain since early January 2020.

All of Bitcoin SVs EMAs are currently spiking as well, and the 20-day EMA has crossed both the 50-day and 200-day EMAs. If the trend continues, I expect BSV to continue making new highs.

In my last BSV price analysis, I underlined how the next target was around 3,400,000 sats. It seems BSV is coming close to breaching said target to keep the positive momentum going a bit longer.

As long as volume does not decline too much, I dont see a reason why BSV couldnt keep pumping over the next few months.

Story continues

Dash is a popular altcoin among a great deal of cryptocurrency investors and traders.

Since its early DarkCoin days, Dash has been attempting to solve scalability and privacy two major issues for many crypto-enthusiasts.

Looking at the chart above, again courtesy of TradingView, we can quickly see Dash has been performing quite well during January 2020.

Essentially, the altcoin has grown close to 135% in the span of 30 days against Bitcoin, going from around 600,000 sats to 1,600,000 sats.

If the altcoin is capable of sustaining its current volumes and stays above the 200-day EMA (blue line), we could see its momentum keep going for longer.

Much like Bitcoin SV, Bitcoin Gold is yet another hard fork of the Bitcoin Core software.

Since early January 2020, BTG has grown over 80% versus BTC. At its height two weeks ago, the altcoin peaked close to 130%. Price now seems to be struggling to maintain its positive momentum.

If BTG is capable of sustaining its price above the 200-day EMA, we could see new highs for Bitcoin Gold.

At the moment, BTG is trading close to 136,000 sats. If the altcoin breaks to the upside, we could see 200,000 sats soon, since the volume profile shows little resistance until then.

If the opposite happens, BTG could drop down to its 50-day EMA at around 105,000.

Safe trades!

Disclaimer: The views expressed in this article are the authors only.This article isnt financial advice or promotional material; it represents my personal opinion and should not be attributed to Coin Rivet.

The post Which altcoins have outperformed Bitcoin in January 2020? appeared first on Coin Rivet.

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Which altcoins have outperformed Bitcoin in January 2020? - Yahoo Finance

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