Global Artificial Intelligence in Healthcare Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing &…

The Global Artificial Intelligence in Healthcare Market is expected to grow from USD 2,178. 37 Million in 2018 to USD 10,578. 45 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 25.

New York, March 28, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence in Healthcare Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025" - https://www.reportlinker.com/p05871979/?utm_source=GNW 32%.

The positioning of the Global Artificial Intelligence in Healthcare Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Healthcare Market including are Google, IBM, Intel, Microsoft, NVIDIA, Amazon Web Services, General Electric Company, Medtronic, Micron Technology, and Siemens Healthineers.

On the basis of Offering, the Global Artificial Intelligence in Healthcare Market is studied across Hardware, Services, and Software.

On the basis of Technology, the Global Artificial Intelligence in Healthcare Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing, and Querying Method.

On the basis of Application, the Global Artificial Intelligence in Healthcare Market is studied across Clinical Trial Participant Identifier, Cybersecurity, Drug Discovery, Emergency Room & Robot-Assisted Surgery, Fraud Detection, Healthcare Assistance Robots, Inpatient Care & Hospital Management, Lifestyle Management & Monitoring, Medical Imaging & Diagnostics, Patient Data and Risk Analysis, Precision Medicine, Research, Virtual Assistant, and Wearables.

On the basis of End User, the Global Artificial Intelligence in Healthcare Market is studied across Healthcare Payers, Hospitals and Providers, Patients, and Pharmaceutical and Biotechnology Companies.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence in Healthcare Market 2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence in Healthcare Market 3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence in Healthcare Market 4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence in Healthcare Market 5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence in Healthcare Market

The report answers questions such as:1. What is the market size of Artificial Intelligence in Healthcare market in the Global?2. What are the factors that affect the growth in the Global Artificial Intelligence in Healthcare Market over the forecast period?3. What is the competitive position in the Global Artificial Intelligence in Healthcare Market?4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence in Healthcare Market?5. What are the opportunities in the Global Artificial Intelligence in Healthcare Market?6. What are the modes of entering the Global Artificial Intelligence in Healthcare Market?Read the full report: https://www.reportlinker.com/p05871979/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Global Artificial Intelligence in Healthcare Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing &...

The Global Artificial Intelligence in Aviation Market is expected to grow from USD 214.36 Million in 2018 to USD 1,824.46 Million by the end of 2025…

The positioning of the Global Artificial Intelligence in Aviation Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

New York, March 28, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence in Aviation Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025" - https://www.reportlinker.com/p05871978/?utm_source=GNW

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Aviation Market including are Intel, Micron, Nvidia, Samsung Electronics, Xilinx, Airbus, Amazon, Boeing, Garmin, GE, IBM, Lockheed Martin, Microsoft, and Thales.

On the basis of Technology, the Global Artificial Intelligence in Aviation Market is studied across Computer Vision, Context Awareness Computing, Machine Learning, and Natural Language Processing (Nlp).

On the basis of Offering, the Global Artificial Intelligence in Aviation Market is studied across Hardware, Services, and Software.

On the basis of Application, the Global Artificial Intelligence in Aviation Market is studied across Dynamic Pricing, Flight Operations, Manufacturing, Smart Maintenance, Surveillance, Training, and Virtual Assistants.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence in Aviation Market 2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence in Aviation Market 3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence in Aviation Market 4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence in Aviation Market 5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence in Aviation Market

The report answers questions such as:1. What is the market size of Artificial Intelligence in Aviation market in the Global?2. What are the factors that affect the growth in the Global Artificial Intelligence in Aviation Market over the forecast period?3. What is the competitive position in the Global Artificial Intelligence in Aviation Market?4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence in Aviation Market?5. What are the opportunities in the Global Artificial Intelligence in Aviation Market?6. What are the modes of entering the Global Artificial Intelligence in Aviation Market?Read the full report: https://www.reportlinker.com/p05871978/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Clare: clare@reportlinker.comUS: (339)-368-6001Intl: +1 339-368-6001

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The Global Artificial Intelligence in Aviation Market is expected to grow from USD 214.36 Million in 2018 to USD 1,824.46 Million by the end of 2025...

Is artificial intelligence the answer to disease prevention? – The Burn-In

COVID-19 has taken the world by storm. Lockdowns, quarantines, and shutdowns have created an unpredictable scenario that looks almost apocalyptic. But with the right kind of precautionary measures, knowledge, and resources, we can fight this too. This global crisis is a glaring reminder of the gap between what our current healthcare systems can handle and what they should be equipped to handle.

To bridge this gap and in order to provide the needed care to those affected, Artificial Intelligence (AI) might just be our best bet.

Epidemiology tracks the source of an outbreak and analyzes which sections of the population face the highest risk. With AI, it can become easier to find the pattern of the course of the outbreak and then to predict possibly affected people.

Consider Blue Dot, an Artificial Intelligence agency from Canada that predicted the coronavirus outbreak days before it happened. This AI works by using data from around the world in different languages to comprehensively analyze trends in the disease patterns. This allows it to predict public outbreaks and track infectious diseases before they spread too much.

Using data of population sections, vulnerabilities, and previous diseases, AI can predict the possible turn of events with a pandemic such as a coronavirus. For example, we now know that COVID-19 affects people with respiratory diseases and elderly people more. With this knowledge, AI can use data analysis and predict that areas with larger populations of elderly people or countries with a high number of people with respiratory problems, will be most affected by COVID-19. Military veterans who have been exposed to asbestos become especially susceptible to something like coronavirus because of their compromised respiratory systems. This kind of information can become crucial in controlling COVID-19 from becoming fatal globally.

Currently, there are also cases of hackers stealing information with coronavirus map-tracker malware. Centralized AI performing this activity could have stopped this malware from reaching people. In this moment of widespread anxiety, it is important that we ensure we are reading the correct information and sharing information with safe sources.

In countries such as China and Italy, COVID-19 could only be controlled once its presence became known. Detecting disease before its too late might be one of the most important contributions AI can make to medical science.

An article on GCN by Steve Bennett, former director of the National Biosurveillance Integration Center within the Department of Homeland Security, talks about the potential of AI in terms of coronavirus. He writes that there are pilot approaches that use machine learning to mine social media data for indications of unusual flu symptoms. AI can also be used to examine near-real-time emergency medical services and ambulance data, using ML (machine learning) to look for anomalies in the medical notes as patients were admitted to hospitals. In these instances, AI was able to detect the disease much faster than physical tests saving it from spreading and also ensuring that patients get the treatment in time.

In terms of outbreaks such as COVID-19, early detection is key to both saving lives as well as keeping economies stable. As early as 2009, researchers were using data streams available via internet activity to monitor for listeria outbreaks. Studies like this can be used as roadmaps for AI outbreak detection research.

AI can also be of use in determining which treatments are the most effective for COVID-19. For example, if a treatment helps a patient recover faster in China, then AI can use that information to model and then apply the same treatment in Italy. In turn, AI can also quickly analyze other such cases and reach a possible method of treatment faster than humans alone.

Unfortunately, there is still no reliable vaccine for coronavirus leaving mankind vulnerable to it. It is especially difficult to find preventative and curative alternatives in todays post-antibiotic area. As stated by experts at Sani Professional, superbugs and new diseases are emerging that have greater resistance to common cleaners and chemicals we rely on to sanitize, disinfect, and clean up spaces and tools every day. That being said, there is a lot of research being done on possible cures in the form of antibody research. Since it is still too early to know a specific time when the vaccine or an alternate immediate treatment will be available, the use of AI might help to speed up the process, and possibly highlight other avenues for curative research. Heavy hitters like IBM and Amazon are offering up their supercomputers to help with the research.

Amidst the chaos and the flood of information, it is important that we put our safety first. Getting correct information from trusted sources is the first step towards this. Use updates from National Health Services, the WHO and more to keep yourself abreast of the current situation. It is especially important to comply with any imposed travel restrictions, and take precautions in case youre planning to travel. Unless it is absolutely necessary, it is best to stay at home and wait for this pandemic to pass. Regularly washing your hands for 20 seconds (with soap) and social distancing, are key to protecting yourself and those around you from this disease.

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Is artificial intelligence the answer to disease prevention? - The Burn-In

Why transparency is key to promoting trust in artificial intelligence – IT PRO

Artificial intelligence (AI) is inescapable. In our daily lives we probably encounter it and its best friend machine learning much more frequently than we think. Did you buy something online yesterday, use face login on your smartphone, check your Facebook, look for something on Google, or use Google Maps? AI was right there.

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When AI is helping us find the most efficient route home, were often quite happy to let it do its job. But this technology already does so much more, from helping to decide whether to grant us bank loans and diagnose our illnesses, to presenting targeted advertising.

As AI gets more and more embedded in our lives and helps make decisions that are increasingly significant to us, were rightly concerned about transparency. When big new stories like the Cambridge Analytica scandal or ongoing discussion around inherent biases in facial recognition hit the headlines, we are concerned about bias (intentional or otherwise), and our trust in AI takes a hit.

Explainable AI gives us a route to greater trust in AI. It is designed to help us learn more about how AI works in any given situation. So, instead of the AI just giving us an answer to a question, it shows us how it got to the answer. The alternative is the so-called black box situation where an AI uses an unspecified range of information and algorithms to get to an answer, but doesnt make any of this transparent.

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In theory, explainable AI gives us confidence in the conclusions an AI system draws. Dr Terence Tse, Associate Professor of Finance at ESCP Business School, gives the following example: Imagine you want to obtain a loan and the approval is purely determined by an algorithm. Your loan gets rejected. If the algorithm in question is a black box its an issue for all parties. The bank cannot say why this is happening, and you don't know what to do in order to obtain the loan. Having explainable AI will help.

Explainable AI is a vital aspect of understanding an AIs competence in coming up with any particular set of outputs. Mark Stefik, Research Fellow and Lead of Explainable AI at PARC, a Xerox company, tells IT Pro: Typically, when people interact with AIs and the systems do the right thing, then people overestimate the AIs competence. They assume that the machines think like people, which they do not. They assume that machines have common sense, which they do not.

In fact, AI does not think like humans do at all. We use think in relation to AI to describe a way of working that in reality is different to that of our own brains. AI uses algorithms and machine learning to help it draw conclusions from data it is given, or from insights it generates. In showing how an AI has reached its decision, explainable AI can help uncover biases and in doing so not only provide individuals with redress, as in the banking example above, but also help refine the AI system itself.

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Oleg Rogynskyy, Founder and CEO of People.ai says: A lack of explainability on how the machine learning model thinks can result in biases. If there is a bias hidden in the data set a machine learning model is trained on, it will consider the bias a ground truth.

Explainability techniques can be used to detect and then remove biases and ensure a level of trust between the machines and the user.

As AI takes an increasingly important role in our everyday lives, we are getting more and more concerned about whether we can trust it. As Stefik puts it: The need for explainable AI increases if we want to use the systems in critical situations, where there are real consequences for good and bad decisions. People want to know when they can trust the systems before they rely on them.

The IT Pro Podcast: Looking forward to 2020

With 2019 behind us, we predict what trends the IT industry can expect over the next year

The industry recognises this need. In a recent IBM survey of 4,500 IT decision makers, 83% of respondents said being able to explain how AI arrived at a decision was universally important. That number rose to 92% among those already deploying AI, as opposed to 75% of those considering a deployment.

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Rogynskyy is unequivocal in his message, saying: Explainable AI must be prevalent everywhere. Tse was similarly forthright, adding: If we want to gain public trust in the deployment of AI, we have to make explainable AI a priority.

Stefik, however, has reservations, particularly when it comes to how we define terms like trust and explainable, which he argues are nuanced and complex concepts. Nevertheless, he hasnt written explainable AI off completely, saying: It is not ready as a complete (or well-defined) approach to making trustworthy systems, but it will be part of the solution.

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Why transparency is key to promoting trust in artificial intelligence - IT PRO

Bridging the gaps: joining human and artificial intelligence | Technology – Business Chief Canada

Technology is evolving at a rapid pace, transforming every business sector.

The security industry is no different, as emerging technologies are leveraged to enhance operations.

Much has been made of artificial intelligence (AI) and its potential, with companies of all kinds scrambling to implement it. Whilst the hype may presently outweigh the current benefits, AI in the security sector can be truly beneficial.

The buzz surrounding facial recognition, in particular, has dominated the public perception of AI in the security space. However, there are many applications of this tool which are already delivering benefits to businesses. Deep Learning (DL) is a subcategory of AI, which can empower surveillance technology to achieve unparalleled levels of accuracy. This, in turn, can make security professionals lives easier as they can focus on more pressing tasks, with full reassurance that DL is working in the background, improving protection and efficiency.

Deep Learning precision

In the past, surveillance applications that used video analytics to generate alerts often struggled to differentiate between a human intruder and other objects or wildlife, creating time-consuming false alarms.

However, DL can help overcome this hurdle by enabling users to pre-calibrate the system to detect real threats and ignore false ones. In the context of video analytics, the learning aspect of DL refers to the way that a developer can train an algorithm to only pick up on specific objects and features, much in the same way that a human would visually disseminate a scene and distinguish between objects.

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In a security application, the algorithm can be trained to recognise a person or a vehicle that could pose a threat. This level of sophistication in security tools means that the issue of false alerts is mitigated, and monitoring staff can focus their efforts on less tedious tasks, increasing their productivity and attention span, improving overall performance.

Ultimately, improved alert accuracy leads to a more secure perimeter. By detecting suspicious events in real-time, the technology enables staff to address incidents as they occur, reducing the need to analyse video footage in the wake of a security breach, when very little can be done.

Combining human and artificial intelligence

Its true that AI and automation stand to revolutionise every sector. However, this is not to say that they are always a viable replacement for human intelligence.

AI and DL really excel in the automation of manual tasks and making improvements to operations, but the value of human input cannot be underestimated.

The DL component of security analytics is invaluable for overworked and understaffed monitoring teams it can filter through hundreds of potential alerts and block those that arent useful. Staff are then left with only a handful of unusual situations to evaluate, which they are responsible for resolving. This is where human intelligence is still light years ahead of AI. The most successful businesses across the board are the ones who are able to combine the latest technologies with human intuition.

By Kevin Waterhouse, Managing Director at VCA Technology

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Bridging the gaps: joining human and artificial intelligence | Technology - Business Chief Canada

Coronavirus: Spain to use artificial intelligence to automate testing – ComputerWeekly.com

The Spanish government is planning to test 80,000 people a day for coronavirus with the roll-out of robot testers.

Technology will be used to speed up testing of people in Spain, one of the countries hardest hit by the Covid-19 outbreak, with more than 200 deaths so far. According to Bloomberg, Spanish authorities now plan to increase daily testing from about 20,000 a day to 80,000, by using four robots to apply artificial intelligence (AI) to testing.

Speaking at a conference on Saturday 21 March, Raquel Yotti, head of Madrids health institute, said: A plan to automate tests through robots has already been designed and Spain has committed to buying four robots that will allow us to execute 80,000 tests per day.

Because of the ease that coronavirus spreads from person to person, testing has been identified as one of the best ways to control the disease. But testing has cost and resource limitations. Applying AI and robot technology could help overcome these problems, while reducing medical practitioners exposure to the virus.

No further details have been given about how the robots will work, but AI is increasingly being designed to work in the healthcare industry by automating some of the work of medical staff, giving them more time to treat patients.

The technology has proved successful in medical trials, including identifying cancer in breast scans.

A research paper from Google Health, published inNaturemagazine, has reported that machine learning, based on Googles TensorFlow algorithm, can be used to reduce false positives in breast cancer scans. A false positive is when a mammogram scan is incorrectly identified as cancerous, and a false negative is when it is wrongly diagnosed as not being cancerous.

In the Google Health paper, based on training an AI algorithm to identify breast cancer using a large representativedataset from the UK and the US, the researchers reported an absolute reduction of 5.7% in false positives in the US dataset, while the UK dataset showed a 1.2% reduction in false positives.

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Coronavirus: Spain to use artificial intelligence to automate testing - ComputerWeekly.com

World Health Organization Teams With IBM, Oracle on Blockchain-Based Coronavirus Data Hub – CoinDesk

Big names including IBM, Oracle and the World Health Organization (WHO) are among the collaborators on an open-data hub that will use blockchain technology to check the veracity of data relating to the coronavirus pandemic.

The solution, dubbed MiPasa, is launching as a COVID-19 information highway, said Jonathan Levi, CEO of Hacera, the company that built the platform.

MiPasa, built on Hyperledger Fabric, is expected to evolve as a range of data analytics tools are added, followed by testing data and other information to assist with the precise detection of COVID-19 infection hotspots.

We feel that there isn't enough information out there to make informed decisions, said Levi. How can we help all the people that would like to get access to data, analyze it and provide insights?

Enterprise blockchain consortia of the type IBM normally inhabits can take months to assemble, but in this case, Big Blue enlisted a range of heavy hitters in no time at all.

Other players involved in the platform include: Microsoft, Johns Hopkins University, Chinas National Health Commission and more. WHO did not respond to a request for comment as of press time.

IBM Blockchain CTO Gari Singh said everyone he had spoken with agreed it was important to kickstart a consortium as soon as possible.

We started off brainstorming ideas on how to collect, provide and use verified information about the virus, said Singh. It's not that we were trying to force blockchain into this solution, but we thought we need to replicate data, we need to have trusted sources, we need to make sure it can't be tampered with.

IBM is also bringing the Call for Code initiative to work on the platform to rapidly create tools that might be able to help stem the crisis. Looking ahead to the coming weeks, Singh said things like coronavirus testing data could be added to the platform.

You could think of a simple set of applications for the drive-through testing, he said. Using an iPad you could enter some information without having to know who the person was. We can start to collect that and build new applications off that.

Haceras Levi said analytics tools can provide powerful insights, provided everyone can be sure and agree all the data on the platform (which is entirely open and free to use) is correct and consistently versioned. He said a host of companies are offering their data smarts to help curb the virus.

Lots of data tool providers are getting involved. Everybody is rushing to help and nobody is charging a cent, said Levi.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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World Health Organization Teams With IBM, Oracle on Blockchain-Based Coronavirus Data Hub - CoinDesk

Could Blockchain be the Panacea to Covid-19 pandemic? – CXOToday.com

By Mohua Sengupta

In November 2018, purely out of my keen interest in Blockchain and a little influence from my daughters MUN (Model United Nations) preparation in WHO committee, I had written an article, Unleashing Blockchain for cross-border surveillance & reporting of Communicable Diseases.It was pure research at that point and seemed like a perfect use case for Blockchain.Today this COVID-19 crisis suddenly makes me wonder, that if we had a blockchain based real time reporting of Communicable Diseases, maybe we could have avoided a pandemic?

The Big Challenge

There are two major challenges with communicable diseases: First in todays globalized world, communicable diseases are extremely hard to contain.They spread like wildfire and moves across political and geographical boundaries at ease, infecting people across countries.

Secondly, there is a huge social stigma around Communicable Diseases even today.Man by nature is a social animal and the idea of being separated from fellow human beings is scary to all.So there is a tendency to hide. This tendency is further aggravated by the fact that most people do not respect privacy.Maintaining privacy in case of sharing information about communicable diseases is of utmost importance.

The Start, Spread & the Pandemic

While there are various opinions about this matter and many conspiracy theories are floating around, lets for now just consider the proven cause.The disease started from the wet markets of Wuhan, China, where live and dead animals and birds are sold daily.The virus most likely has originated from Bats, but since bats are not sold in that market, the scientists think that the bat must have bitten a bird or animal that got sold in the Wuhan wet market.

This much we have seen many a times when any new disease hit us.But then whats different with this?How has this virus brought the world to a standstill?We have seen its more dangerous cousins, MARS, SARS etc., but they didnt bring the world to a standstill.Then why Covid 19?The difference is that its very highly contagious, much more than its close cousins.So when one person got infected, he started infecting many in a day and each one of them infected that many and very soon there were thousands of people in Wuhan who were infected.

Since the symptoms are typically like simple flu, people continued to travel and China missed sending the warning to the rest of the world and did not restrict travel to and fro.So, international travelers kept on coming to China and vice versa.More than a month went by before the world woke up to realize that this is a serious threat and by then the disease has already spread to many countries like Italy, Spain, UK, US, Iran and a few others too.

And then while the news of Wuhan epidemic as well as the challenges in the other countries came out, travel was not restricted.It took a couple of more weeks for the travel restrictions to start and by then the virus has travelled to 20 odd countries.Now the world really wakes up and every country starts taking measures to do lockdown by restricting travel and also taking various other measures to reduce spreading of the virus within the country.

But by then its a pandemic!The entire world gets introduced to a very different challenge, business suffers, stock market tanks across the world, many people lose their jobs, not to speak of the enormous loss of life and pressure on the healthcare system of all affected countries.

Could Blockchain Have Helped?

As we all know, with Blockchain we can share any transaction / information, real time, between relevant parties present as nodes in the chain, in a secure and immutable fashion.In this case, had there been a blockchain where WHO, Health Ministry of each country and may be even relevant nodal hospitals of each country, were connected, sharing real time information, about any new communicable disease, then the world might have woken up much earlier.We might have seen travel restrictions given sooner, quarantining policies set sooner and social distancing implemented faster.And may be fewer countries would have got impacted.

What every country is doing now fighting this pandemic, would have been restricted to fewer countries and in a much smaller scale.The usage of a Blockchain to share the information early on, might have saved the world a lot of pain.

Why Blockchain?

Blockchain technology offers (a) greater transparency, (b) enhanced security (c) improved traceability (d) increased efficiency and speed and (e) reduced costs. Arent they all supremely important for reporting cross-border Communicable Disease cases?

The world had not seen anything like this Covid 19 pandemic before.Today we need to take a hard look at the reporting infrastructure available for communicable diseases, both technology and regulations and improve upon that, such that we do not need to face another pandemic like this in the future.

But of course Blockchain, in this case, like any technology is not a solution, its just an enabler.An enabler that would ensure the security and efficiency needed for sharing something so sensitive. Finally it would depend on the goodwill of people and governments.

Wish we come out of this crisis soon and as unscathed as possible!

(Disclaimer: The author is the Co-founder of Ventures, a platform for theatre and theatre based behavioural coaching. She was previously the EVP and Global Head of Services at 3i Infotech. Mohua has over 24+ years of experience in Banking and Financials Services Industry and IT Services industry, across the globe. The views expressed here are her own)

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Could Blockchain be the Panacea to Covid-19 pandemic? - CXOToday.com

Block.one invests $150M into its blockchain social media network Voice – SiliconANGLE

Blockchain startup Block.one today announced it has invested $150 million into its blockchain-powered social media networkVoice.

Launched in 2019, Voicewas pitched as ablockchain-based social media application designed with users of the platform in mind. Said to be a more transparent social media platform for the world, the service is currently available only in the U.S. in closed beta testing.

The service itself is more Twitter in its presentation than Facebook but with the added ability for users to be rewarded for their content through the Voice Token cryptocurrency. Users verified in Voice obtain the tokens daily based on their participation but at the moment the tokens have no monetary value,according to Somagnews. Any tokens earned during the beta test will be reset once the service launches with users said to be able to convert them to money.

The investment into Voice is to allow the social network to operate independently of Block.one.

We are creating living journalism instead of static news platforms, Block.one Chief Executive Officer Brendan Blumer said in a statement. With Voice setting out to fundamentally change how media platforms are working, it was the right time for Block.one to hand the reins to (Voice CEO) Salah Zalatimo and allow Voice to grow under his leadership to create a truly unique experience for content creators everywhere.

On the blockchain side, Voice was built on Block.onesEOSIO protocol best known for the EOS token. EOSIO is designed for both public and private blockchain networks and can be customized to suit business needs. The platform is scalable, with secure processing for mass adoption at claimed industry-leading speeds.

Block.one itself is notable as still holding the record for the biggest initial coin offering of all time: $4.2 billion in June 2018. The company was last in the news in September when it paid the U.S. Securities and Exchange Commission $24 million to settle a lawsuit that claimed that its ICO was an unregistered security in breach of U.S. securities law.Block.one neither admitted nor denied the SECs claims under the terms of the settlement.

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Lukka debuts resource library on all things cryptocurrency – Accounting Today

Lukka, which makes a tax preparation platform for cryptocurrency, has debuted Lukka Library, an interactive collection of academic papers dealing with controversial legal and tax questions that lack official guidance or regulatory frameworks.

The papers are mostly short form, and each addresses a specific issue and is meant to provide viewers with cutting-edge perspectives on issues related to the crypto ecosystems most hotly debated topics. Currently, more than two dozen authors from companies and firms are contributing to this library of information including McDermott Will & Emery; Steptoe & Johnson; Mayer Brown; Baker & Hostetler; Ivins Phillips & Barker; Simmons & Simmons; and the University of Pennsylvania.Some topics available to browse now include identifying the options a crypto holder has to file their taxes, and suggestions on how to value a cryptocurrency that fluctuates frequently. The content will provide insights not only for the existing crypto ecosystem, but is intended to empower existing companies and professionals to break into the crypto market.

Readers of the Lukka Library can submit requests for more topics, adding to the 170 already identified for creation. The collection also provides complete transparency and access to the authors, so that subscribers can solicit opinions and conversations from subject matter experts who wish to be contacted.

The Lukka Library is a unique and important new resource for the crypto tax and legal community, said Andrea Kramer, partner at McDermott, Will & Emery, in a statement. It provides thought leaders from many different, leading firms a platform to share their unique perspectives. At the same time, it offers subscribers a central database from which to gather various points of view to make informed decisions, a task that could normally cost clients many thousands of consulting dollars and potentially weeks to research.

We dont know of any resource that exists today for professionals that provides this level of knowledge from independent sources, added Roger Brown, Lukkas head of tax and regulatory affairs, and one of the content authors. While the IRS has continued to provide guidance on crypto assets, weve assembled comprehensive viewpoints on a number of issues that remain unsolved. Centralizing knowledge in the library reduces the cost of guidance, aligning with our mission to make tax and legal knowledge more accessible to everybody.

Currently, an individual subscription to access all of the Lukka Library content costs $99.95 per year.

Information and access to Lukka Library can be found at https://www.lukkalibrary.com/.

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Lukka debuts resource library on all things cryptocurrency - Accounting Today

Cryptocurrency Accounting Firm Launches Library of Legal and Tax Advice – Cointelegraph

Cryptocurrency accounting company, Lukka, has announced the launch of the Lukka Library an interactive collection of academic papers addressing legal, accounting, and tax questions pertaining to crypto assets.

On March 26, Cointelegraph spoke to Lukka co-CEO, Robert Materazzi, and Lukka Library creator and head of tax and regulatory affairs, Roger Brown.

Materazzi states that the company was formed under its former brand, Libra, in 2014 after the founder Googled how to pay his capital gains tax and found that there wasn't any solution that was out there.

The experience prompted the founder to rope together some developers to build what Robert claims was the first cryptocurrency tax calculator. However, the product failed to make an impact as people werent interested in paying their taxes in 2014 relating to crypto.

After the 2017 bull run pushed Bitcoin (BTC) towards the mainstream and gave rise to a proliferation in crypto hedge funds, the firm decided to shift its focus towards institutions.

Brown states that they then set about drafting a list of 170 issues relating to crypto tax for which they state there was either no IRS guidance, or the IRS guidance on the topic was overly broad and missed the nuances in their facts.

Roger asserts that more than 75 topics are currently covered in the Lukka Library, including a wide array of taxation strategies for crypto traders, and suggestions on how to value digital assets that experience high volatility for institutions.

The resource currently contains articles written by more than two dozen authors, including the University of Pennsylvania, in addition to legal firms McDermott Will & Emery, Steptoe & Johnson, Mayer Brown, and Baker & Hostetler.

Lukkas users can also request articles addressing desired topics and can access the authors featured in the librarys collection.

Annual access to the Lukka Library is currently priced at $99.95 per year.

Roger adds that the platform is soliciting content internationally, starting with an emphasis on the U.K.

Looking forward, Materazzi asserts that Lukka believes crypto assets and digital assets are the future, adding: finally all the regulators and governments are catching up to this right now.

Brown agrees, contending that the said future may be arriving sooner than previously anticipated, citing recent proposals for a U.S.-government backed digital dollar.

The US has two bills in Congress and one in the House, one in the Senate that talk about digitizing the dollar and the digitization not only just at the institutional level [...] but they're also going to creating a digital wallet for each U.S. person to, in effect, no longer have to deal with currency. And that's incredibly important. Not only for technology, the savings around sending it, the security also associated with it[...] but digital assets are more traceable than cash. So that could be part of the reason why Congress is enacting it.

He adds: People say you could get the coronavirus from touching money in coins, you can't do that by touching digital assets.

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Cryptocurrency Accounting Firm Launches Library of Legal and Tax Advice - Cointelegraph

Binance Reveals the Secret Behind Its Cryptocurrency Futures Success – Cointelegraph

Aaron Gong, vice president of futures at major cryptocurrency exchange Binance, explained to Cointelegraph how the firm managed to become one of the top crypto futures trading platforms.

As Cointelegraph reported earlier this week, Binance recently overtook BitMEX and became the second-largest platform in terms of 24-hour Bitcoin (BTC) futures trading volume. When asked whether he is surprised by such success, Gong said that the firm created the product with the plan of becoming the top Bitcoin futures trading platform:

We knew we would be there soon, and we made it in slightly more than 6 months time.

According to Gong, the three primary reasons behind the success of Binances futures products are the low taker fees, new features and a large amount of altcoin pairs. He said that too many exchanges offer negative maker fees:

Too many other exchanges offer negative maker fees, where most orders are just computerized market makers competing for best bid and ask with extremely limited taker interest during periods of low-volatility.

Gong also said that innovation also drives trading volumes when it comes to Binances futures. He claimed that the exchange has had a few firsts when it comes to the crypto futures market:

We are the first major crypto exchange to launch max 125X leverage for BTC contracts, and the first of its kind to launch cross collateral and smart liquidation mechanism. These features have gained tremendous popularity amongst our users.

The third reason for the success of Binances futures contracts, Gong explained, is the number of altcoin contracts. He said that the firm launched 24 futures contracts on the platform, adding:

As of today, Binance Futures houses half of the top 10 most liquid altcoin contracts, many of which are also the most traded pairs amongst all futures exchanges.

Gongs strategy to drive the volume of futures contracts on Binance is to continue bringing more functionalities and products to the industry. He said that he believes Binance has outdone its competitors, as other crypto trading platforms suffered problems such as overloads, poor risk management, and counterintuitive product designs. He explained that Binances design was largely driven by users complaints about other platforms:

We specifically aimed to address these issues and improve the users experience. As such, we put tremendous efforts to build an industry-leading matching engine that is able to process more than 100,000 orders per second. [...] Whilst there were issues of system overloads, outages, glitches, and even rollbacks elsewhere, weve proven time and again to be a safe, reliable, cheap and liquid venue for hedging.

It is worth noting that Binances trading platform ran into a number of issues in February. On Feb. 19, the exchange halted trading to resolve an unexpected technical issue with its infrastructure.

As a Feb. 25 Cointelegraph analysis illustrated, this incident took place after a week in which the platform was often unresponsive to trader input as the exchange was unable to manage a large uptick in user volume.

In early March, Binance halted trading again to fix a malfunction. The exchanges co-founder and CEO Changpeng Zhao purportedly blocked Jay Hao the CEO of competing exchange OKEx on Twitter, after he publicly offered to help fix the infrastructure.

However, Gong said that the malfunctions did not affect Binances futures trading infrastructure and that futures traders were not affected:

Our futures system has been proving to be performing well during the most volatile period since we launched. The futures market is running on a separate matching engine.

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Binance Reveals the Secret Behind Its Cryptocurrency Futures Success - Cointelegraph

5 Ways to Earn Cryptocurrency In 2020 – MENAFN.COM

(MENAFN - MENAFN Authors)

Gone are the days when individuals would spend a lot of time and energy mining cryptocurrency. This task is not only overwhelming, but it is also highly competitive. Yes, when you choose to mine bitcoin or any other crypto, prepare to compete with established businesses and huge mining firms.

This doesnt, however, mean that getting bigger bags of your favorite digital currency is now a near impossibility. All you need to do is offer some value in exchange for your preferred crypto. Below are some ways that can earn you this online gold in 2020;

1. Accept cryptocurrency as payment

If you have an entrepreneurial itch, or you own an online business, this is the time to accept digital currencies as payment.

There is an array of platforms such as WordPress, WooCommerce, and Shopify that permit merchants to accept digital currencies as payment. You can accept various coins and convert them into fiat or hold them until you choose to sell.

2. Buy cryptocurrency

One of the easiest ways to earn cryptocurrencies is by buying them. If you want to own Bitcoin, for instance, all you need to do is go to a Bitcoin ATM and get the coins with credit or cash.

Most digital currencies are not as accessible as Bitcoin. To buy them, you need to navigate through different crypto exchanges such as Binance, Coinbase, and Kraken.

When choosing an online crypto exchange, ensure you do your homework well, and ensure you select a reliable one that has the lowest transaction fees.

Trading in crypto exchanges is easy. All you need to do is sign up, and you can start buying and selling coins. However, there are some which require verification from your bank, and this process can take a few days.

3. Join several airdrops and earn

Airdrops are some of the most prudent methods of taking advantage of new digital currencies.

New projects often use airdrop campaigns to create a community around their project. This helps crypto fanatics to find more information about the project and earn tokens.

However, you dont receive tokens if you dont offer something of value in return. You are expected to complete an array of tasks which include;

When you complete these tasks and earn tokens, you can trade them for cash or other coins once the new project penetrates the market.

4. Promote projects through microtasks

Also referred to as bounties, microtasks are easy ways to earn cryptocurrencies. They are often given by new projects as a reward for completing a few simple tasks that include;

The goal of these tasks is to attract mass participation. The more the tasks you complete, and the more the quality of your work, the higher the rewards you get.

This is a realm that has opened a lucrative career for many people around the world, who are known as bounty hunters.

There are also platforms such as Bounty0x which have been developed to legitimize the micro-task industry. This site features a mutually incentivized ecosystem that allows startups to host bounties, bounty hunters to complete them, and users to check the quality of the work submitted.

If you are looking for the best way to earn cryptocurrencies in 2020, endeavor to join such a platform, and you might find a steady income out of it.

5. Earn cryptocurrencies by Staking

There are some lucrative coins that cannot be mined. You can get them by validating blocks using two methods Proof of Stake (PoS) and Proof of Work (PoW).

In PoW, users are required to mine blocks and authorize transactions through a pure computational power.

In the proof of Stake system, the person to authorize the development of a new block is selected using a deterministic method based on the number of coins he already has.

This method can be compared to a lottery game. The more the crypto coins you hold and stake, the more your chances of being selected to confirm the transaction.

What you need to remember is that for you to stake, you need to heave a few crypto coins. Therefore, you may need to utilize the other methods outlined in this article and only use this one to boost your stock.

There are a host of other ways you can use to earn cryptocurrencies, such as joining gambling platforms that pay winners in digital currency, freelancing and accepting payments in crypto, and joining crypto blogging platforms.

Final thoughts

As you capitalize on the methods outlined above to get a piece of the crypto world, you need to remember that this digital currency market is steered by emotions, and no one can predict the bottom or top of this market. The more coins you buy or earn, the more the potential volatility/risk you face.

Therefore, make sure you trade your cryptocurrency in trustworthy platforms such as eToro. You can read this eToro review by cryptonews.com to learn why this platform is the most recommendable one. Get as much knowledge as you can about the coins and tokens you earn so that you can maximize your chances of success.

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5 Ways to Earn Cryptocurrency In 2020 - MENAFN.COM

Why this cryptocurrency just surged 16% on news of a key Binance partnership – CryptoSlate

Basic Attention Token (BAT), the native cryptocurrency of the Brave Browser, spiked by more than 16 percent following a Binance trading widget integration.

The Brave team said:

Brave Software and Binance, the global blockchain company behind the worlds largest cryptocurrency exchange by trading volume and users, today announced a partnership that enables Brave browser users to seamlessly trade cryptocurrency assets through Binance.

The partnership allows users of Brave Browser to trade cryptocurrencies on Binance on the new tab page of the browser.

The Brave Browser remains as one of the few products with a native cryptocurrency to have millions of active users on a monthly basis.

In January 2020, Brave Software co-founder and CEO Brendan Eich said that the number of active monthly users using the Brave Browser surpassed 11.2 million.

He said:

Brave finished 2019 with 11.2M MAU & 3.5M DAU. Since then DAU has passed 3.7M DAU, and growth continues.

That is more than a 10 percent increase in user growth within a two-month span, after seeing 8.7 million users in October 2019.

Changpeng Zhao, the CEO of Binance, said that the long-term partnership with Brave will increase the utility of cryptocurrencies.

Zhao said:

The Binance widget on Braves privacy-oriented browser instills a safer way to buy and sell crypto and also reduces user friction to onboard, trade and interact with the Binance ecosystem. We are looking forward to our long-term partnership with Brave to make it even easier to interact with crypto and encourage more utility in the near future.

The recovery in the price of BAT comes at a much needed time of the year; since January 1, the price of the BAT cryptocurrency fell by nearly 50 percent against the USD.

It fell substantially as the Bitcoin price dropped sharply from $8,000 to sub-$4,000 on March 12, in one of the steepest pullbacks in the markets history.

Since bottoming out at $0.099 in mid-March, the price of BAT has increased by around 70 percent to $0.162.

The sharp correction of the U.S. stock market and the global financial sector led to a short-term decline in the valuation of the entire cryptocurrency market.

But, the industry has seen significant positive developments over the past three months. Most notably, the Supreme Court of India dismissed the circular issued by the Reserve Bank of India to prohibit cryptocurrency trading.

Investments in the cryptocurrency and blockchain industry have declined year-over-year, primarily due to the economic consequences of the coronavirus pandemic in key cryptocurrency markets such as China, South Korea, the U.S., and Europe.

Yet, industry leaders and major companies within the sector are working toward strengthening the infrastructure supporting cryptocurrencies, similar to every previous bear cycle in the last ten years.

Since 2009, Bitcoin has seen a repeated cycle of a bear market-build phase-accumulation phase-bull market many times over. Following every bear cycle, the industry had come out stronger in terms of fundamentals.

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Why this cryptocurrency just surged 16% on news of a key Binance partnership - CryptoSlate

What Will $6 Trillion in Monetary Expansion Do To Cryptocurrency? (Opinion) – CryptoPotato

The pressures on for Congress to pass a $2 trillion spending bill to thaw the frozen economy. While they negotiate the largest ever emergency relief bill in US history, markets are getting restless. Stock futures have been volatile as the bill makes progress and stalls, then makes progress and stalls again. Voters are getting restless too. Both sides are badgering each other to Hurry! while negotiating a $2 trillion transaction with other peoples money.

Any time either side of the partisan divide has a scruple, the other party attacks them for holding up the bill. They insinuate the other side doesnt care about all the people who are hurting right now. Of course, a swarm of each partys rank and file supporters also join in the shouting. The farther you zoom out from the picture, the more ludicrous the entire affair looks from afar.

Further, so much of the bill, styled as an emergency stimulus package, is just a massive grab bag of goodies and pork-barrel spending for bloated Washington bureaucracies America can definitely live without, and special interest groups with lobbyists on K Street. $25 million for the JFK Center for the Performing Arts. $75 million for the National Endowment for the Arts. $75 million for the National Endowment for the Humanities. And a monster $500 billion slush fund for Treasury Secretary Mnuchin to dole out to corporations at his discretion with little oversight.

When a terrible crisis strikes, politicians and special interest groups huddle together in Washington and grab all the money and power, they can possibly get their hands on. Its the American way. Washington did this to Americans during the 2008 Financial Crisis with Bushs $700 billion Wall Street bailout in 2008, and Obamas $831 billion stimulus bill in 2009.

At least in 2008, many Americans put up a fight about it. They tried to melt the Congressional switchboard calling their representatives to urge against these massive appropriations. Today America is so slavish and afraid because of coronavirus that even Trumps anti-socialist supporters are eager to get their checks.

And the $2 trillion stimulus package at the center of all this drama is dwarfed by the money the Federal Reserve is pumping into the banking system. Top White House economist Larry Kudlow says itll amount to $4 trillion. And Congress doesnt actually have any of the money for its spending bill. Its borrowing all of that, so the Fed will have to create most of it out of thin air. Just like the $4 trillion its creating to shore up banks. That will make the entire monetary expansion $6 trillion in total.

The entire adjusted monetary base is currently $3.3 trillion. So the monetary-political complex is about to triple the money supply in the coming months. Thats what they did in the wake of the 2008 financial crisis. Quite more than doubled it actually. And that crisis not only gave us Bitcoin but saw it rise in price so dramatically until 2017, it became the greatest investment in world history by ROI. Thats how highly sought after something like Bitcoin is for merchants and investors.

Expanding the fiat money supply at such breakneck speed will not necessarily make cryptocurrencies like Bitcoin more valuable. But it will drive monetary inflation that causes dollars to depreciate against Bitcoin, driving its nominal value higher. Though, the result of this exercise in fiscal and monetary madness will likely be increased demand for crypto. People looking for an inflation shelter will have a powerful instrument in the intensely deflationary cryptocurrencies like Bitcoin. Bullish.

* Disclaimer: This article is the opinion of the author and does not represent professional financial or investing advice.

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How to identify when a cryptocurrency is about to skyrocket? | The Home of Altcoins: All About Crypto, Bitcoin & Altcoins – Coinlist

By Coinlist Posted on 27 March, 2020 0 Comments

One of the most recurring problems of the contemporary trader is detecting price movements before it is too late. In the cryptocurrency market, which trades tirelessly in an environment where volatility reigns, the challenge of identifying price actions in time can be even more difficult. However, there are several strategies that can help you be one of the first to enter at the right time. Find out how to identify when a cryptocurrency is about to skyrocket.

If you have technical analysis knowledge, you will know that there are a series of signals and indicators that can help the investor understand which direction the price of an asset is likely to take. In the case of the crypto industry, it is very important to detect them in time, since market cycles are usually shorter and less stable.

There are different types of breakouts. For example, when the price of a digital currency demonstrates a clear bearish channel, a bullish break is said to have been reached. When the opposite occurs and a well-established bullish guideline is broken, analysts call the case a bearish breakout. But these are not the only cases to identify. There are simple moving average crosses for different periods that allow changes in price movement to be detected. The crossing of death and the golden crossover are very important.

In any case, these will require some experience, or the follow-up analyses published by experts. Also, some of the more advanced platforms allow you to configure price alerts once you identify interest levels. This is an extremely useful tool, but it is only recommended to use for analysis with larger time frames in order to receive notifications that are really worthwhile.

TradingView charting platform allows you to configure notifications in your browser. Other investment platforms are even more powerful and allow you to configure notifications that you can receive through your mobile phone. Some examples include Coinbase and the eToro exchange platform.

Payment Methods

Coinbase is one of the first places that made it easy to buy bitcoin and has since become a widely trusted exchange in the market.

Key Features

Payment Methods

eToro is a multi-asset investment platform with more than 2000 assets, including FX, stocks, Crypto, ETFs, indices and commodities. eToro offers a wide range of cryptos, such as Bitcoin, XRP and others, alongside crypto/fiat and crypto/crypto pairs. eToro users can connect with, learn from, and copy or get copied by other users.

Cryptoassets are highly volatile unregulated investment products. No EU investor protection. eToro USA LLC does not offer CFDs and makes no representation and assumes no liability as to the accuracy or completeness of the content of this publication, which has been prepared by our partner utilizing publicly available non-entity specific information about eToro. Your capital is at risk.

The Internet is used to heavily influence the media and social networks. Thus, it is important to identify which digital currencies are setting the trend. Many analysts find a correlation between price movements and search interest on a digital currency through Google, for example.

In this case, Google Trends can be a strong ally to identify search interest in specific cryptocurrencies. In relation to social networks, the most important discussed topics related to bitcoin, blockchain and altcoins are often found on Twitter and Telegram. If you make a living through trading, then you will want to be subscribed to the most important cryptocurrency forums.

A little-known tool of CoinMarketCap is the summary of winners and losers over a given period. This shows a list of the cryptocurrencies with the highest percentage movement in three different time frames: 1 hour, 24 hours and 7 days. With this tool, the user can get an idea of where there is a significant price action, both up and down. However, to narrow the sample more precisely, we suggest filtering those currencies with very low trading volume. The latter are more volatile and the risk when investing rises considerably.

Other similar portals like Coin360 can also give similar metrics that help identify which cryptocurrencies are experiencing significant moves.

The list closes with the favourite of those who prefer to opt for smaller alternatives. When a small-cap cryptocurrency hits a large exchange like Coinbase or Binance, its price tends to gain traction. These platforms follow a rigorous process to admit new currencies into their offerings, a factor that may be considered positive and encourages them to invest in smaller projects that could gain importance in the future.

Making the analogy to the great market leaders, it is the equivalent of what happens when BTC or Ethereum start trading on institutional financial platforms, for example, futures at Bakkt or the CME Group in Chicago.

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How to identify when a cryptocurrency is about to skyrocket? | The Home of Altcoins: All About Crypto, Bitcoin & Altcoins - Coinlist

XRP Is Up 12% and It Seems to Be Aiming for Higher Highs – Crypto Briefing

Ripples XRP is up 12% in the last 24 hours as it seems to be breaking out of a consolidation pattern. Now, this cryptocurrency could be preparing for a further advance.

Over the last two weeks, XRP has been mostly consolidating between $0.17 and $0.14. As a result, a horizontal resistance line developed along with the swing highs and a rising trendline along with the swing lows.

The price action seen lately appears to have created an ascending triangle in its 4-hour chart. This is considered a continuation pattern that could see XRP surge over 24% if validated. Such a bullish target is determined by measuring the height of the triangle at its thickest point and adding that distance to the breakout point.

Although this cryptocurrency appears to have broken out of the pattern after climbing above the overhead resistance, the lack of volume behind it could jeopardize the bullish outlook.

Indeed, the TD sequential indicator presented a sell signal in the form of a green nine within the same time frame. This bearish formation estimates a one four candlesticks correction before the continuation of the uptrend.

However, an increase in the selling pressure behind XRP could trigger a new downward countdown.

It is worth noting that the last two times the TD sequential indicator provided a bearish signal XRP dropped 12.4% and 3.5%, respectively.

Under this premise, the most optimistic outlook sees XRP dropping to the $0.17 support level or the hypotenuse of the triangle. Then, demand for this cryptocurrency could rise pushing its price up towards $0.21 to meet the target presented by the ascending triangle.

Nevertheless, the worst-case scenario forecasts that the selling pressure behind XRP will increase substantially. This crypto could then break below the hypotenuse of the triangle. Such a bearish impulse may see its price drop over 24% to $0.13.

Moving below the recent swing low of $0.155 can be used as confirmation of the pessimistic outlook.

Even though different analysts such as the CEO at Three Arrows Capital Su Zhu believe that XRP wants to retrace months of underperformance in a few days, investors must be cautious due to the ambiguity this crypto presents.

Waiting for a break of support or resistance before entering any trade would be ideal to avoid adverse market conditions.

For richer fundamental analysis of Ripples XRP token, we invite Crypto Briefing readers to explore SIMETRI research. We offer crypto ratings, examine underlying technologies, uncover top tokens economic models, along with a suite of investor-grade investing tools.

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XRP Is Up 12% and It Seems to Be Aiming for Higher Highs - Crypto Briefing

Cryptocurrency Market Update: Dash and Monero edge above Bitcoin to lead a remarkable recovery – FXStreet

Digital assets in the cryptocurrency market are maintaining a bullish momentum and trend for the second day in a row. Although there were setbacks over the weekend as prices retreated from Fridays highs, this weeks potential and recovery optimism remain high.

According to the data provided by CoinMarketCap, the recovery across the board has seen the total market cap grow by $22 billion from $163 billion recorded on Monday to $185 billion at the time of writing. The trading volume has also grown significantly from $131 billion to $162 in the same period. Bitcoins dominance has also grown by 0.7% from 65% as reported on Monday to 65.7%.

While Bitcoin is in the green with gains more than 3%, it is not the best performing cryptocurrency. Monero(XMR) is leading the recovery in the market with over 15% in gains followed closely by Dash (DASH) with gains more than 12%. Ethereum Classic (ETC) and Ripple (XRP) are not very far behind due to their 7.7% and 7.39% respective growth on the day.

BTC/USD is trading at $6,744 after touching $6,861 (intraday high). Bulls are largely in control but the sellers are keen to ensure that Bitcoin does not break above $7,000. If the critical resistance at $7,000 is overcome, I expect a technical breakout with gains eyeing $8,000.

DASH/USD is trading at $70.27 after adjusting lower from an intraday high of $71.57. The prevailing trend is strongly bullish. At the same time, the bullish momentum is supported by the expanding volatility and volume. In other words, Dash price is likely to soar especially if the rest of the market is moving higher.

XMR/USD remains at the helm of the crypto market recovery on Tuesday. It is trading at $44.10 after correcting from $44.4 (intraday high). The bulls are in the driver seat owing to the strong bullish momentum and a sustained uptrend. Stability is expected in the coming sessions but bulls will most certainly push for more action above $50.

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Cryptocurrency Market Update: Dash and Monero edge above Bitcoin to lead a remarkable recovery - FXStreet

Chinas Cryptocurrency Is Closer Than Expected, Already Working On Legislation – CryptoPotato

Despite the delay, the Peoples Bank of China (PBC) is closer to launching its official digital currency. By working together with several large private companies, the nations central bank has finished the development process and is working on the proper legislation before the CBDC is released.

After the COVID-19 outbreak, the Chinese central bank digital currency (CBDC) was delayed indefinitely. However, as the country is portraying initial stages of recovering after the deadly virus, a new report informed that the CBDCs launch is closer than anticipated.

The Chinese central bank has completed the development process by collaborating with several local firms, including Huawei, China Merchants Bank, Tencent, and the tech giant Alibaba.

The latter has reportedly publicized five patents related to the future digital currency from January 21st to March 17th. The patents cover various areas of the digital currencys future usage. Those include issuance, digital wallets, transaction recording, anonymous trading support, and assistance in supervising and dealing with illegal accounts.

Aside from all patents, the digital currency has to comply with local legislation as well. This, according to the report, could raise issues, because the currency has to operate with banking and insurance regulators on supervision. This process could be quite lengthy. Therefore, the exact time of the CBDC launch cannot be determined yet.

As the world is arguably entering the next, long-awaited, recession, most central banks are taking extreme measures to fight the economy curtail. The U.S. Fed, for example, cut the interest rates in an unprecedented manner and even announced unlimited quantitative easing.

Chinas approach for stabilizing its economy might differ substantially with the digital currency launch. Cao Yan, managing director of Digital Renaissance Foundation, believes that the PBC should accelerate the development of the CBDC.

He outlined two main merits; firstly, it would establish Chinas leadership position in this new digitally-oriented world. Secondly, a CBDC could be more efficient during times of uncertainty than simply lowering rates.

If there is a chance China is considering lowering its interest rate into negative territory as a final option and directing such policy to commercial loans and lending, a circulated digital currency rather than M0 will be able to achieve that. he explained.

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Chinas Cryptocurrency Is Closer Than Expected, Already Working On Legislation - CryptoPotato

Report: Asian Nations are Increasing Cryptocurrency Usage – Asia Crypto Today

A report from Hootsuite has found the Philippines as the nation with the highest amount of cryptocurrency owners with three of the top ten countries coming from the Asian continent.

The research, which cited GlobalWebIndex, saw the Philippines top with 17% of internet users holding crypto. Thailand came in fourth behind South Africa and Brazil in second.

Indonesia, which placed sixth worldwide, gained the headlines as 11% of internet users had cryptocurrencies. With the countrys enormous population of 270 million, that means a huge number of people are holding cryptocurrency in the nation.

However, whether the statistics put forward by the report are wholly accurate remains to be seen. Another Statista report on blockchain wallet ownership worldwide put the global figure at 44 million users.

In Indonesia, only 64% of the country has access to the internet making the 11% figure of cryptocurrency even more interesting, as well as less plausible. As any commentators looked to see the positives of the report, others, like Twitter user @DouglasTan30 have called for calm.

Although the statistics may have overstated the numbers, it is not right to say that the nations of Indonesia and the top-ranked country, the Philippines. Both governments have strong crypto communities and regulations to match this growing trend.

Digital payments have been apart of the landscape for a while too. 7 Eleven stores across the Philippines accept Bitcoin. Whatsapp have looked into making digital payments on its Indonesian version.

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Report: Asian Nations are Increasing Cryptocurrency Usage - Asia Crypto Today