Does the Metaverse Need Blockchain?

With the advancement of blockchain technology, many ideas that were once only hypotheses are materializing. The “metaverse,” a virtual environment, is one of them. What impact will this world have on the global online marketplace and the conventional internet?

Neal Stephenson introduced the concept of the metaverse, a virtual world with all the possibilities of a real one, in his science fiction book “Snow Crash” back in 1992. The concept was only a pipe dream in the early 1990s, but has found new ground with the development of blockchain technology.

A completely functional economy inside the virtual world where you may buy and sell any virtual asset has been created thanks to cryptocurrencies and NFTs. A select few individuals have already been successful in making large sums of money by selling digital artwork, virtual properties, and other items. Unsurprisingly, many adamantly believe in blockchain and the metaverse. 

Understanding Blockchain and the Metaverse

A virtual, online environment created using 3D technology is the “metaverse.” Modern technology developments like blockchain, augmented and mixed reality, non-fungible tokens (NFTs), and many more have a direct relationship to this concept. 

Today, several blockchain-based platforms employ cryptocurrencies and NFTs, establishing an ecosystem for decentralized digital assets creation, ownership, and monetization. The idea of the metaverse is incomplete without blockchain because of the problems inherent to centralized data storage. 

Because blockchain is a decentralized digital source that can operate worldwide, it fundamentally differs from the capabilities of the old internet, which naturally takes the shape of websites and apps. Any digital place may be accessed through the blockchain-based metaverse without the influence of a centralized authority.

Source: BBC News

Blockchain Unlocks the Metaverse’s Potential

The fundamental operating principles of the metaverse’s ecosystem have already been devised, even if there is still no singular notion of the metaverse. The concept itself is only partially implemented in initiatives like the Metaverse Facebook Horizon and Google Blocks.

Hardware and software are the two significant blocks of any metaverse. Users may comfortably engage with virtual or augmented reality thanks to the hardware component, which incorporates all common controllers. In the case of software, we’re referring to a digital setting where the user has access to the material.

The majority of those in the sector now concur that software should be built on blockchain technology, which stands for a secure decentralized database where independent nodes may communicate in a single, constantly updated network. Looking at blockchain technology’s key features makes it rather clear that it can satisfy the needs of the metaverse.

Security. The exabyte-scale data storage of the metaverse presents concerns about secure transmission, synchronization, and storage. The decentralization of data processing and storage nodes makes blockchain technology extremely pertinent.

Trust. Blockchain requires the existence of tokens, which are safe storage units capable of conveying things like encrypted personal data, virtual content, and authorization keys. Because sensitive data won’t be accessible to outside parties, the metaverse blockchain fosters greater user confidence in the ecosystem.

Decentralization. For the metaverse to work properly, all participants must view the same virtual reality. Blockchain-based decentralized ecosystems enable thousands of independent nodes to coordinate.

Smart contracts. Through these, relationships between ecosystem players inside the metaverse may be efficiently regulated in terms of economic, legal, social, and other factors. Additionally, smart contacts let you create and implement the fundamental guidelines for the metaverse’s governance.

Finance. Cryptocurrency may function as a reliable substitute for fiat currency because it is an essential component of a blockchain. It is also a valuable tool for settlement between parties in the metaverse.

Centralized ecosystems pose significant hazards to the development and operation of the virtual world. These include viruses, hacking, and even centralized decision-making that affects how the metaverse works. However, the dangers are reduced with blockchain technology, making it feasible to create a reliable virtual environment.

Blockchain Use Cases in the Metaverse

There are several use cases for blockchain in the metaverse. 

Virtual Currency

One of the most apparent applications of blockchain technology in the metaverse is settlements. The time when consumers purchase in 3D is quickly approaching. We can be confident that cryptocurrencies will soon find uses in a decentralized environments since offline commerce is progressively giving way to internet businesses.

MANA, which is used to purchase virtual property in the game “Decentraland,” is one of the metaverse instances of how virtual currencies are utilized. Within this metaverse, agreements worth millions of dollars are already being signed, and this is only the beginning. 

Users will soon be able to purchase virtual replicas of everything in the real world. This technology won’t be restricted to only video games. The rapidly growing Defi market might serve as a beta-testing environment for metaverse lending, borrowing, investing, and trading. As a result, the potential of cryptocurrencies is potentially limitless.

NFTs

Numerous analysts predict that non-fungible tokens will play a significant part in the metaverse. NFTs also have considerable potential for integration into any metaverse crypto initiatives involving the purchase of avatars, gaming assets, and other such items. Non-fungible tokens will soon be utilized as evidence of real estate ownership if this field keeps growing.

NFTs will ultimately be used as prizes in metaverse NFT games, instead of fungible tokens. Since practically every digital asset may be copied an infinite number of times, NFTs can assign value to specific digital assets. Only a certificate of ownership integrated into a digital object can verify the right of the legal owner.

Identity Authentication

Identity authentication in the metaverse is carried out similarly to how a social security number is assigned. The blockchain stores all information about a particular user, including their age, activities, appearance, and other traits. As a result, the metaverse becomes as transparent as possible and remains free from criminal activity.

Identity authentication also eliminates the chance that someone would use a fake name in a virtual environment to commit crimes.

Closing Thoughts

Blockchain technology is essential to the metaverse because it allows users to safeguard their digital assets in a virtual reality. Actual blockchain initiatives like “Axie Infinity” and “The Sandbox” emphasize this concept. They both concern the metaverse. By using a metaverse-based cryptocurrency, users may build and trade NFTs, as well as profit from the virtual economy.

Without blockchain technology, experts believe that the concept of a fully functional virtual environment cannot be realized. This is because, as we’ve mentioned, consumers must be allowed to safely own and sell their digital property by transferring assets between the platforms without a centralized authority’s consent.

Blockchain guarantees the economic efficiency and transparency of this metaverse. It is crucial to employ trustworthy algorithms while building a virtual reality replacing tangible assets with digital ones. In other words, the future is digital. 

Disclaimer: The information provided in this article is solely the authors opinion and not investment advice – it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions. Do conduct your own research and reach out to financial advisors before making any investment decisions.

The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment.  Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business.  Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

Machine Learning and Predictive Analytics 

Machine learning (ML) is widely used as a predictive technology in fields such as transportation, finance, healthcare, advertising, travel, and several manufacturing industries across the globe. Machine learning and predictive analytics aid companies in making better decisions by anticipating what will happen. 

ML and predictive analytics predict future outcomes through the analysis of current and past data. The two terms machine learning and predictive analytics are sometimes used interchangeably, and although related, they are two different disciplines. 

Machine learning can be applied to various applications, while predictive analytics focuses on forecasting specific variables and scenarios. Combining predictive analytics with machine learning is a powerful way for financial companies to gain value from the massive amount of data generated and collected through business operations. 

We will go through these two concepts and how they can be used to improve processes and be a foundation for a company’s underlying abilities.  

Machine Learning and Predictive Analytics, in Brief

Machine learning is a subsection of artificial intelligence (AI) that creates computer algorithms designed to improve their accuracy as they process or “learn” from large data sets. Machine learning’s ability to learn using previous data and its adaptability with a wide array of applications makes it highly beneficial. Fraud and malware detection, spam filtering, and image analysis are a few of the many applications of machine learning by industry.

Predictive analytics uses tools and techniques to build predictive models for forecasting outcomes. Its methods include machine learning algorithms as well as statistical modeling, descriptive analytics, data mining, and advanced mathematics. Predictive analytics is an approach rather than a defined technology.  

Predictive Analytics

Predictive Analytics is a type of advanced analysis building upon two earlier analytics types that were done through human coding, descriptive and diagnostic analytics. Companies use descriptive analytics to see, for example, how many items were sold yesterday or this week, while diagnostic analytics subdivides that data to determine why fewer items were sold this week than the week before.  

Predictive analytics utilizes measurable variables in order to predict the behaviors of people or things, like buying habits of an individual customer, when a machine requires maintenance or a forecast of a store’s or company’s sales. Classical statistical techniques like linear and logistic regressions, and machine learning techniques such as neural networks, support vector machines, and decision trees are applied to predictive modeling. 

The need for expert knowledge of these advanced techniques means that predictive analytics has been the domain of data scientists, analysts, and statisticians. This requirement is beginning to change as business intelligence vendors offer advanced AI capabilities and analytics in their platforms, resulting in the democratization of analysis by business users. 

Strong business leadership is needed for the deployment of predictive analytics because the first step of a successful deployment is defining the business’ objectives and the project’s goal. The next priority is the identification of the correct data and analytical techniques needed to build a robust predictive model. Having high-quality data is necessary during the training, especially if the data sets are smaller. 

Machine Learning

Artificial intelligence is the replication of human intelligence by computers. AI includes a broad range of diverse technologies beyond machine learning, including robotics, natural language processing, and computer vision. These wide-ranging technologies are all meant to replicate human actions.

Machine Learning is a software-based AI that becomes better at predicting without being programmed to do so. The program learns by detecting patterns in data sets. Machine learning algorithms are created to be versatile, allowing developers to make changes with parameter tuning.  

Machine learning is the foundation for neural networks and deep learning, which are used to do such tasks as financial forecasting and the driving done by autonomous vehicles ML can increase the rate at which data is processed and analyzed.

By applying machine learning to predictive analytics applications, algorithms train using extensive data sets and perform complex analyses on several variables with only minor manual changes. 

Machine learning and AI provide benefits that make them enterprise staples, and there is no longer debate over their value. In the past, their operationalization required a complicated transition, but the technology is now successfully implemented across multiple industries.

Predictive Analytics Versus Machine Learning

To recap, predictive analytics applies advanced mathematical techniques to discover patterns in current and historical data to predict future events, while machine learning is a tool that automates predictive modeling through training algorithms searching for patterns and behaviors in data while not receiving explicit instructions.

There are several key differences:

  • Machine learning can be trained through supervised or unsupervised methods, and it is the foundation of several advanced technologies such as deep learning, computer vision, and autonomous vehicles.  
  • Predictive analytics is built on the fields of descriptive and diagnostic analytics, and it is a stepping stone to prescriptive analytics. This type of analytics provides guidance on contextual-specific next steps. 
  • Machine learning algorithms are designed to both evolve and improve their predicting abilities with their continued processing of more data, without being programmed by humans to do so.

Just as the value of machine learning and artificial intelligence in business has become widespread, their differences have lessened. As ML gains more widespread understanding and employment in business applications, it becomes a more integral feature in predictive analytics.

Use Cases

The successful application of machine learning and predictive analytics by enterprises is widespread. Here are a few examples:

  • Marketing and retail organizations are using various prediction models to refine their strategies. Predictive analytics is being used to spot website user trends, hyper-personalize advertising, and target emails. 
  • Manufacturers, including airplane makers, are using prediction models to monitor machinery and equipment and identify when failures will happen.
  • Healthcare organizations use prediction models to identify outbreaks and extrapolate outcomes beyond drug trials, new drug approvals, and the course of disease based on past data.

Challenges

While predictive analytics and ML techniques are becoming embedded in more “novice usable” software resulting in so-called “one-click” forecasting, enterprises will face the usual challenges associated with getting value out of their data. This starts with the data itself.  

All types of data, including corporate data, are error-prone, inconsistent, and incomplete.  Finding the correct data and preparing it for processing and forecasting is time-consuming.  Expertise in deploying and interpreting predictive models is still scarce. 

To assume that the one-click solution will be accurate is dangerous and must be tested.  Moreover, software for predictive analytics is expensive, and so is the processing required to create effective models. 

Finally, machine learning technologies continue to evolve rapidly, resulting in continuous scrutiny on how and when to upgrade to newer approaches. 

Financial Applications

The global financial markets have experienced the profound impact of machine learning and predictive analytics on various aspects of digital pricing. From international financial organizations down to retail traders, digital pricing techniques are used to generate maximum profit and returns. 

Moreover, when applied, predictive analytics and machine learning can improve trading strategies for all asset classes, including cryptocurrency and digital pricing markets. Similar pricing techniques are being applied for a sustainable future when conducting global business.  

Finally, using ML and predictive analytics, organizations conduct faster and cheaper transfers, or exchange currencies more rapidly..  

Closing Thoughts

The complementary nature of applying machine learning with predictive analytics makes the combination a powerful tool for forecasting in finance and several other fields. When trained with clean data and then applied in the correct fashion, the accuracy and speed of their abilities exceeds that of several humans combined. 

The key to long-term success is to create the proper environment with defined goals and success metrics, using clean data from the beginning and then evaluating the application over time. As ML and predictive analytics applications broaden their reach, their acceptance will soon become commonplace.

Disclaimer: The information provided in this article is solely the author’s opinion and not investment advice – it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions. Do conduct your own research and reach out to financial advisors before making any investment decisions.

The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment.  Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business.  Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

Web 4.0 and Beyond

Two fundamental questions surround Web 4.0: Will virtual reality (VR) gain traction in society? What will social media look like in the future? Even if we are aware of the exponential rise of technology, it’s still challenging to forecast where we will be in ten years.

Although details are hard to predict, reviewing the past reveals a clear direction for what Web 4.0 may entail. Web 3.0 is still in its infancy, but experts are already romanticizing how Web 4.0 could change the world. 

To illustrate how we arrived at the current state of Web 3.0, we will review each previous version of the internet. This article will then hypothesize on a possible Web 4.0. 

Web 1.0: Beginning

The term “Web 1.0” refers to the beginnings of the internet.

Defense Advanced Research Projects Agency (DARPA) research initiatives helped develop protocols like TCP/IP, which enabled networked computers to communicate with one another. The study quickly earned the name “Internet.” Web pages connected to one another comprised the majority of this internet.

Web 1.0’s state was very much read-only, in contrast to the web as it is now. Since static pages made up most online pages, there were hardly any interactive features.

There will mostly be a minimalist approach to design then. Each webpage typically consisted of a combination of text and images over a background of pure white.

The internet’s initial iteration was ground-breaking. It was a brand-new system that allowed anyone with access to the system, wherever in the world, to share information.

Users have little else to do but browse the amount of information. The web eventually needed to change as more people began using the internet.

Web 2.0: Interactive

The need for online collaboration, sharing, and communication skyrocketed in the late 1990s.

Because of this, many engineers predicted a new era for the internet. “Web 2.0” is a word that was created to define this new era by writer and web designer Darcy Dinucci.

It signalled a paradigm change from static web pages to interactive web applications. People created online communities on Web 2.0 websites.

Soon, several social networking sites, blogs, wikis, and platforms for sharing material were developed. Users can now add to a website’s content instead of just reading it for the first time. It sparked the development of online shopping, where customers may not only buy and sell goods but also post reviews.

Platforms for sharing and publishing information were increasingly popular in the 2010s.

Sites like Youtube, Instagram, and Facebook have figured out how to make money off the internet’s new function as an outlet for ideas and creative expression.

Your online identity has developed into a brand-new aspect of you. With the advent of smartphones, the internet quickly became portable, making it accessible to billions of people.

This swiftly made room for the web’s subsequent expansion.

Web 3.0: Big Data and AI

Today marks the era of the big data. 

These enormous platforms own vast amounts of priceless data thanks to the increasing volume of information being posted to the internet, which is now the foundation of our economy.

Data is the new oil, according to a 2014 article in WIRED Magazine. The internet’s widespread use and the amount of data have set the stage for the web’s next chapter.

The precise concept of Web 3.0 differs depending on what you read.

The World Wide Web was created by Tim Berners-Lee, who calls it a “semantic web” that provides access to an “unbelievable data source.”

According to his forecast, the web will soon be able to comprehend the intricate relationships between concepts in the real world. With a new emphasis on users interacting with artificial intelligence, Web 3.0 moves beyond human-to-human connection.

We now use this part of the internet in our everyday lives.

Thanks to algorithms, our news feeds, and suggestions are already filled with information pertinent to us. These algorithms will only get stronger as more data is gathered.

What Is Web 4.0?

The user journey is center stage and the primary focus with Web 4.0. 

Most people couldn’t imagine a world without voice commands, touchscreen interfaces, or auto-correction. Despite these developments, we haven’t yet achieved a completely smooth experience.

Being constrained by how quickly we can speak or type, our thoughts require enormous effort to communicate digitally. The line between the mind and the computer should become less distinct with the next significant advancement in web usage, Web 4.0.

The “symbiotic web,” or the symbiotic contact between man and machine, is a bold prediction of Web 4.0. Soon, AI will have developed to the point where it can comprehend our own ideas and successfully browse the web.

On a 2D screen, the web might not be adequately represented. Virtual reality or augmented reality technologies may supplement or form the foundation of Web 4.0. The intention remains to completely capture and provide the complete, human experience. 

The internet has gradually adapted to focus on graphics and video instead of text. It’s hardly a stretch to argue that we may soon experience lifelike experiences that fully immerse users while they explore a new digital environment.

What’s the Technology Behind Web 4.0?

Several ground-breaking technologies may form the basis of Web 4.0. 

Elon Musk’s business Neuralink has successfully tested wireless brain implants on animals. These brain-computer interfaces (BCIs) will soon enable us to communicate easily with and operate the gadgets around us. 

Alternatively, tech behemoths are moving aggressively into the augmented and virtual reality fields. Metaverse technology is in development by businesses like Facebook and Microsoft. It could eventually replace traditional human-to-human connections.

The way we interact with the web is being revolutionized by augmented reality (AR) applications like nReal and eye-tracking technologies.

To handle the enormous quantity of input required from both the human brain and the physical world around us, Web 4.0 will need AI and sophisticated machine learning (ML) algorithms.

For instance, ML and computer vision are used by self-driving cars to understand the actual roads and potential barriers in a typical commute. This has already made significant strides.

The term “Internet of Things” describes a network of items that are equipped with sensors and software that can easily communicate with devices all around them. The popularity of smart homes has already been rising. Users can converse with their devices by speaking to virtual assistants powered by AI, such as Alexa on the Amazon Echo, and Google Assistant.

With Web 4.0, smart cities and fully AI-powered infrastructure systems may become more common.

Use Cases for Web 4.0

When we can use the power of machines to augment our thoughts, we have the potential to transform entire industries. Here are some prospective Web 4.0 applications that might be available to you sooner than you think.

Medicine

Brain-computer interfaces (BCIs) are now being explored with the hope of assisting those with neurological disorders and similar limitations. Soon, BCIs might help speech synthesis or assist amputees in controlling prosthetic limbs.

Education and Work

The public might adopt Web 4.0 if technology improves. One day, BCIs might be employed to boost learning effectiveness or work performance. Consider a program that understands how to explain a subject specific to you and how to test you.

Because of the pandemic, remote work has become more widespread, and the breakthroughs we could make with virtual reality could alter how we operate.

Security

Pass thoughts is an alternative method of logging in to your preferred programs that is being tested by several researchers. Soon, we might be able to access our devices simply by thinking about doing so, which would be even more secure than the biometrics we currently use.

Social Media

A potential new alternate location for social gatherings is the Web 4.0 metaverse.

Connecting digitally with co-workers, friends, and family will be necessary as remote learning and remote work gain popularity. People from all over the world will be able to connect and communicate as though they were all present in the same physical area, thanks to VR and AR.

The Challenges Facing Web 4.0

As with any new technology, there are several challenges and risks associated with Web 4.0. 

The use of malicious programs will still be possible with brain-computer connections. These interfaces could be targets for hacking since they hold very private information about the user.

The technology used in virtual reality is also not entirely secure. Some accounts say using VR for an extended period harms the user’s vision or may even cause seizures. A fully immersive digital experience won’t be welcomed into the masses until such safety concerns are addressed.

Data ownership becomes hazy when technologies practically become a part of us. BCIs could turn into means for tech corporations to make money off your data.

There was public uproar when Google acquired Fitbit in 2019 for $2.1 billion, giving them access to millions of consumers’ fitness data. We should be cautious about whether users are being exploited as the web becomes more user-friendly for us.

Closing Thoughts

The internet evolves as technology advances, taking into account the capabilities of modern innovation and the needs of its users.

People born after 1990 have never known a time before the internet. Children born today will never experience life without social media. The world without an enhanced mind may never be experienced by anybody born in the next ten to twenty years.

We have become more connected as the web has developed, but it has always come with a price. Future technologists and developers should be mindful of the security and privacy of their users. Whatever the outcome of these breakthroughs, one thing is sure: the future is not so far away. 

Disclaimer: The information provided in this article is solely the author’s opinion and not investment advice – it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions. Do conduct your own research and reach out to financial advisors before making any investment decisions.

The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business. Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

Web 3.0: Infrastructure and Cross-Blockchain Transfers

Currently, most online data “transfers”–communicating with friends and family, working with colleagues and clients, purchasing goods and services, and reading articles and social media are all facilitated with Web 2.0 infrastructure. This means that Web 2.0 is the foundational technology of our economy and society. So what about Web3, or Web 3.0?

One of the issues of the Web’s current iteration is that it is centralized. Centralization results in several limitations: being owned and controlled by a few central systems, it is vulnerable to hacking, corruption, and nefarious manipulation. There is a lack of data protection, and the data that is owned by that central authority usually belongs to big tech or the government.

Web 3.0 has grown from an imagined concept of a digital world starting in the mid-2000s to one that is possibly decentralized in the mid-2010s. In the current decade, the tech industry has begun to acknowledge the vast potential possible with an online ecosystem built from a decentralized Web 3.0.  

This shift would require the complete replacement of the current internet architecture we see with Web 2.0 and replace it with blockchain-based infrastructure. 

The result would be more democratic, with a shift to decentralized data ownership, peer-to-peer exchanges of data and assets with no intermediaries, protection from bad actors, and information that has guaranteed, blockchain verified sources. This shift to a decentralized Web 3.0 would fundamentally change how our businesses, financial systems, and societies are run for the better.

Web 3.0 Is Already Happening

There are already several projects working on designing the foundation of a decentralized Web 3.0. They are the Layer One foundation that is sitting at the base of Web 3.0, and they are designed to support the next iteration of the digital world. 

Many prognosticators have a vision of Web 3.0 with an open-source technology stack, with their code available for anyone to review, improve and build upon, creating an even better end-user experience in the long run. Ethereum, Polkadot, Avalanche, Cosmos, and several others are trying to do just that. 

All of the named blockchain projects already have decentralized applications (Dapps) live and running, providing their users with ways to communicate, share stories, transfer data and assets, and nearly all of the other general tasks we conduct on current Web 2.0 versions.  These new projects are the bridge that is forming to shift us to Web 3.0.

The Current Blockchain Networks Remain Siloed

Even with the progress that this new class of decentralized Layer-One blockchain networks is making, they remain siloed from each other to their detriment. These are like independent fiefdoms utterly separate from each other with their own social and economic activities and opportunities. 

They, however, have few if any pathways that connect them with each other. These are like hermit nations that have walled off the rest of the world. In the long run, this isolationist policy reduces the power of the projects that would gain from the total network effect possible by joining them together.  

The Need for Connection

There is a growing need for this connection–a unified, seamless, decentralized method for sharing assets and information between blockchain projects, building a combined ecosystem that will benefit all the constituents and their users. 

This need is based on overall liquidity and the volatility that results. Without a global connection, these projects’ economic structures will have digital assets with low liquidity, high volatility, and poor ways to unload the assets. By having a lack of interoperability and cross-chain communication, every project will have a more difficult time gaining traction and becoming successful.  

Imagine if our current Web was divided into 12 parts, required the use of 12 different browsers, and you needed to have separate banking facilities for each to make a purchase? 

Each had its own content and services, but you could not take that data from one and use it easily on another. That is the current state of a siloed blockchain network.

If these issues are not resolved, the migration to a decentralized Web 3.0 will be impossible, and we will be stuck with an edited VR/AR version of Web 2.0 run solely by big tech.

Moving Past the Issues

The acknowledgment of the problems resulting from a siloed industry of individual blockchain projects has resulted in the different protocols allocating a significant amount of time and money into building their own bridges that will allow users to share their data and assets between multiple protocols.  

There are so many DeFi Dapps that are running on Ethereum that there has been a need for bridges to be built between Ethereum and Polkadot, Binance Smart Chain, Avalanche, and others over the years since their inception. 

These bridges require dedication of time, money, and other resources to build and require diligence to maintain. Still, these bridges provide nothing more than a way to send specific assets between two smaller branches of the ecosystem, not the full spectrum of data and assets.

Beyond the resources needed to build and maintain these single-use bridges, they are often centralized. They are built, and operated by a single entity that is an intermediary working between the protocols, but are bottlenecks between the systems and have the sole authority to decide which tokens are supported and to which networks are worth connecting. 

Therefore, these intermediaries are exactly what decentralization is designed to prevent, a central authority with control over assets and information that increases security concerns due to potential corruption and a single point of failure. 

A second impact that results from a siloed blockchain space is the choice needed to be made by developers and thought leaders—choosing what protocol to use for their Dapps. If they are only able to run on one network, they will have several disadvantages. 

Their potential user base is immediately limited, which means that a single network’s Dapp success and mass adoption will also be limited. For a developer to deploy a Dapp across multiple networks, they will have to devote more resources to their apps, fragmenting their liquidity across the various network-specific applications. 

Interoperability Is the Web 3.0 Solution

The drain on resources and struggles that we see with the one-off bridges between networks means that a universal interoperability solution is the best way forward for the industry. 

Blockchain tech is one of the most innovative sectors in the world today, with talented programmers who should prioritize the requirements of universality, accessibility, security, and decentralization all on equal footing when considering interoperability. This strategy is the only viable solution to the problems that Web 3.0 faces today. 

To build such ubiquitous connectivity, there is a need to develop open protocols that provide standard pathways, which will require industry collaboration. An industry where protocols compete against each other is now history. Protocols should evolve for their own use cases, but they need to assume that interconnection is a requirement to reach scale.

Like our fiefdom’s analogy, projects must create their goods and services, but to thrive and gain from the other projects–they should communicate, exchange, and grow from the mutual knowledge and skills of the neighboring cities.   

Much of what is going on in the blockchain space focuses on blockchain infrastructure and interoperability. Achieving the purest form of interoperability means that both users and developers must be able to operate seamlessly across multiple blockchain platforms, not realizing there was even a change. 

When we use the current Web, we do not think of the protocols behind an email, text, or video conference. The same must be demanded of Web 3.0 for it to be successful.  

Interoperability is becoming a focal point for several protocols that have realized that cross-chain communication is required to protect their futures. Cross-chain communication empowers developers to utilize the network that best fits their needs while knowing that the new application can be accessible to a user on any platform. This structure allows a network to focus on the applications native to its protocol, optimizing its infrastructure instead of devoting the resources to building individual bridges.

The Path to Web 3.0

2021 saw the seeds of digital assets’ potential planted in the minds of consumers, institutions, governments, and their regulators. The movements of big tech into the metaverse, the rise of the NFT market, the creation of Central Bank Digital Currencies (CDBCs), and the moves toward the regulation of crypto in several sectors proved this change was manifesting. 

Moving forward, we are in the position to capitalize on the achievements that have been made to date and build on them with a scalable and efficient system. We cannot get caught up focusing on what is best for a single protocol while neglecting the big picture. Interoperability underpins Web 3.0 and must remain the objective for the near future.

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business. Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees. This information should not be interpreted as an endorsement of cryptocurrency or any specific provider, service, or offering. It is not a recommendation to trade. 

​​Self-Paying Crypto Loans

When we have assets and debts, there are two conflicting things going on. Our assets are growing in value while our debts are accumulating interest. Enter: self-paying crypto loans.

Imagine if loans had no interest. Instead, the appreciation of your assets is automatically going to pay off your debts. Your mortgage payment is automatically paid off by your stock portfolio’s growth, and a car payment is paid by the funds of your high yield savings account. Your credit cards are paid off by your real estate portfolio, and all along the way, you don’t have to sell any assets to make the payments.

This may seem odd at first, but we are closer to this kind of entwined monetary system than most may think. There are new DeFi protocols that are attempting to allow anyone to borrow against their future asset yields, meaning they are creating self-paying crypto loans. 

Alchemix is the most advanced of these platforms, where you can deposit crypto assets, borrow against them, and then have the future yield of these assets automatically pay off your debt. This system creates a loan where its value only goes down, and the collateral that you provide is never liquidated. The idea of self-paying loans is certainly an interesting one and may change how we think about money.

What Are Self-Paying Crypto Loans?

The concept is a new financial tool at its foundation. It’s blending both aspects of a lender and a savings account into one. You earn interest on your deposits even when you are also borrowing against them. 

The interest that you earn is automatically used to pay down the loan amount, ensuring that the amount never increases, and because you are borrowing the same asset that is being used as collateral, your assets will never be liquidated.  

How Self-Paying Crypto Loans Work

In the case of Alchemix, to use it, you must first deposit funds into the Alchemix account in the form of the popular stable coin DAI, or other assets like ETH or USDC. Dai is an Ethereum network built by stablecoin pegged to the US Dollar. The DAI that you purchase will immediately go into what Alchemix calls its “Vault,” immediately earning interest. 

Image courtesy of Alchemix

When funds are deposited, the account owner can immediately borrow up to 50% of deposited funds as alUSD. alUSD is also a stablecoin that has been created by Alchemix and is pegged to the USD. From there, you can take the alUSD and use it how you wish. You could cash it out as fiat USD, or you could buy another crypto such as Bitcoin or Ethereum.

Once you have your amount of capital deposited in Alchemix, and you have half of this value available to be borrowed in the form of alUSD, the thing that makes Alchemix special is that the loan amount never increases: It can only go down. Instead of the interest going to increase your deposits, it pays off your debt.

Why Are Self-Paying Crypto Loans Better?

It is easier to understand with a simple example. Let’s say you have $10,000, and the current interest rate is a fixed 10%. Let’s also assume that repayment is flexible and there will be no additional money entering the system.  

With Alchemix, you can take your deposit of $10,000, and you can borrow $5,000 against it.  You are earning 10% interest on the $10,000, which is $1,000 a year. The interest that you are earning on that deposited amount is going to directly pay down the loan, which is NOT accumulating interest. This means that after one year, you still have $10,000 in assets in the Vault, and the debt is only $4,000, so the total is $6,000.  

Alternatively, with a traditional institution, you could deposit that same $10,000 and borrow $5,000 against it. After a year, you would have $11,000 in assets but also have $5,500 in debt (due to the 10% interest on the loan). This total would only be $5,500, not $6,000, and a 9% lower return than if the loan was obtained with Alchemix.

How Is This Possible?

The protocol is taking advantage of the larger supply of capital to pay down the smaller liability. The effective interest rate gets doubled by directly paying down the debt with the earned interest. This is similar to reducing costs for a business. Cost reduction is a more efficient way to increase the profit margin than expanding the business’s revenue.  

The idea gets even better when you consider that TradFi (traditional finance) interest rates paid on assets are near-zero (or 7% using average S&P returns), but Alchemix has historically offered 10 to 20% interest on DAI (we will discuss why so high shortly).  

Let’s investigate a few examples of how this can fundamentally change our relationship with money. To do so we will assume that the interest rate is a flat 10%.  

Self-Paying Mortgage

Let’s assume that you are buying a home to be your primary residence, which costs $300,000. You qualify for an FHA loan that charges 4.5% interest, and you are required to pay 3.5% down. For this loan, you will only need to provide $10,500 for the down payment, but you have $25,000 in cash. You are debating whether to put all of it down or to put the sum in Alchemix.

If you put the $25,000 into Alchemix and use a $12,500 loan for the down payment, you have covered your down payment, and you have the $25,000 in Alchemix earning interest, and you can borrow against the interest. Every month you would be able to borrow an additional $208 from the debt that is being automatically paid. 

This $208 could be going toward your monthly mortgage costs. At a 4.5% interest rate, you would be paying $2,091 a month. With a Vault deposit of 251,300, you could be making earned interest to cover the entire mortgage.  

Self-Paying Auto Loan

If we are in the market to buy a used car and debating whether to pay for it with $10,000 in cash or put the money into Alchemix and get a car loan, we can use the following parameters.  A credit score of 660 to 780 (considered Prime), a $2,000 down payment, an interest rate of 5.5%, and a term of 36 months.  

Data courtesy of cars.com

If you deposit the $10,000 into the Vault and borrow $2,000 for the down payment, you are earning $83 a month while having to pay $242 a month toward the car loan. This is a net cost to you of $159/month. Since you have an additional $3,000 left, you could continue to draw out the $159 a month for the first 18 months (nearly 19) months before having to pay anything for the car out of pocket. And you will have your $10,000 in the Vault earning interest.  

Digital Nomad Lifestyle

After working in the banking industry for years, you have saved $150,000 and want to take a year sabbatical to work on your masterpiece. You chose to put $150,000 in Alchemix. You check out possibilities and find that you can live in Buenos Aires for $862 a month.

Data courtesy of Nomadlist

This is significantly less than the $1,250 that you can safely withdraw. This way, your savings are completely covering your new lifestyle. What’s more, every month, you’re adding to the top line of Alchemix, so the monthly allowance is also going up. This can help account for inflation, increase your standard of living, or build a fund that supports your lifestyle.

How a Self-Paying Crypto Loan Scheme Works

Alchemix gets a slightly better rate due to their volume, but Alchemix also has a bonus DAI treasury in its “Transmuter” which also earns interest on Yearn and this interest goes to Alchemix. The Transmuter was initially used to convert alUSD back to DAI, but because Alchemix has gained popularity, the Curve pool for alUSD has also gained popularity with over 68 million alUSD, providing sufficient liquidity for Alchemix users to skip the Transmuter step entirely. 

The Transmuter provides an essential service ensuring that the alUSD maintains its $1 peg, but it can do so effectively while earning interest on about 124,000,000 DAI in its current stores. This has meant that even with the recent crypto crashes, including the near-death of Terra, alUSD has stayed solid, briefly falling to $0.96 and climbing back.

This was a great test of the Transmuter’s ability to maintain alUSD’s peg and continue earning interest.

A comparable strategy is when companies earn interest on their float. Money that they can claim but do not currently need, and they are able to invest while unused. 

Prepaid gift cards are an example. The current balance for Starbucks prepaid cards is at $1.4 billion. Customers could use that at any time, but Starbucks already has this cash available and they are using it to make money through investments or business expansions.  

Likewise, Alchemix is putting the money to work, but the depositors are getting the upside, rather than Alchemix (or Starbucks).

Alchemix is making a profit because they are getting a higher interest rate than they are paying to their depositors. Ten percent of the profits that Alchemix earns for users is stored in the treasury and is used for paying the Alchemix team in addition to solving any bugs or issues that have come about

This system aligns Alchemix’s incentives with those of its customers. They are only paid when providing good returns for users and are therefore incentivized to find the correct balance of return and risk. 

It is deceptively simple:

1.     Deposit DAI (or other allowed coins)

2.     Borrow alUSD

3.     Debt is repaid with Yearn Interest (now Saddle is available too)

This simple model shows how DeFi can provide new projects that are built upon each other.  Alchemix is built on Yearn and Yearn on Compound, AAVE, and other apps, all of which are built on Ethereum.  

Risks of Self-Paying Crypto Loans

The strength of Alchemix comes from the leveraging of other DeFi protocols. Specifically, the intelligence behind building a new lending protocol that is automatically repaid and cannot be liquidated. 

However, failures of the parts below Alchemix (Yearn, Saddle, Compound, AAVE, Ethereum) in the stack could easily cascade to harm Alchemix, and there is not much Alchemix could do to fix this. Alchemix has created security systems to protect their users’ funds in an emergency event, and they have proven reliable with crypto market crashes.

Alchemix has been audited, and its V2 version has a continuous auditing system. Security is clearly a priority for the project.

Closing Thoughts

Self-paying crypto loans represent a new era of finance that will potentially bring massive changes. It gives us reason to think of money differently. 

The latest projects will likely attract those willing investors who may well make great returns. This novel style of lending and borrowing opens new doors. Particularly, it opens the relatively unexplored avenue of using variable returns to pay down low- or zero-interest loans. 

Disclaimer:  The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment.  Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business.  Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees. This information should not be interpreted as an endorsement of cryptocurrency or any specific provider, service or offering. It is not a recommendation to trade.

IoT and Its Applications in Reality

What do we mean by IoT? We can turn on the plug sockets in our houses from a chair in a remote workplace. Our refrigerator’s built-in cameras and sensors allow us to track our food and know when it’s about to expire. The temperature in our home can be set to the perfect condition based on our preferences, ready for when we return

These sentences are not extracts from a fictional dystopian future. They are just a few of the millions of frameworks that make up the Internet of Things (IoT) that are now in use.

IoT has changed how we connect, communicate, and go about our everyday tasks. The network of gadgets is making our society more innovative and more efficient, from homes to maintenance to cities.

In the early 2000s, IoT was just a notion, but as we approach 2022, statistics demonstrate that this technology is here to stay. According to reports, 35.82 billion IoT devices will be installed globally in 2021, and 75.44 billion by 2025.

This article discusses what IoT means and provides some typical real-world applications.

What Is the Internet of Things?

All physical items that link to the internet and other devices are referred to as “things” in IoT. 

The phrase “internet of things” is evolving incrementally with increased use to describe devices that interact and “talk” to each other, enabling efficiencies in our lives.

IoT devices are characterized by their capability to accumulate data about their environments, exchange that data with other electronic devices, and, consequently, assist us, the ultimate users, in obtaining information, resolving a problem, or completing a job.

As a simple example, most of us have walked into a room where the light has turned on by itself. An IoT sensor detects your movement and connects to the light fitting, turning it on. Perhaps the most popular devices are Amazon Alexa, Google Home, and other intelligent equipment that many people use to connect everything they own. 

How Does IoT Work?

Sensors are a critical component of IoT, as they allow linked devices to communicate with one another. These sensors detect temperature, pressure, motion, sound, and light. IoT is made possible by intelligent sensors that measure, assess, and collect data. Following the collection of these events, cloud-based apps are used to analyse and communicate the data supplied by the sensors.

Source: https://www.embitel.com/blog/embedded-blog/how-iot-works-an-overview-of-the-technology-architecture-2

Because data is stored in the cloud and not a physical server, users may access it through applications at any time and from anywhere.

Applications of IoT in 2022

Several industries are benefitting from IoT in 2022. 

Agriculture

Integrating IoT technologies into agriculture can enhance productivity and keep it in sync with the global population boom. Precision farming–the use of analytical data to understand soil moisture levels, climate changes, plant requirements, and so on–can come from IoT applications, boosting productivity, and encouraging resource efficiency.

For example, having adequate knowledge of climates is pivotal for optimizing the quantity and quality of crop production. IoT allows farmers to monitor weather conditions in real-time through sensors placed in the fields. Environment data will enable them to select the best crops that will grow and sustain in the climate conditions. The need for a physical presence is eliminated, which is particularly important in areas with unpredictable situations. 

Smart Homes

Smart home technology automates our lives using sensors, connected devices, IoT, AI, and machine learning. The devices are controlled through apps, laptops, or other technology that is connected to the internet. For example, the Nest Thermostat learns user behaviour and controls the temperature in the home according to their preferences. 

There are countless smart home devices available on the market at affordable prices in 2022. The three main functions they carry out are:

·       Monitoring and controlling smart homes remotely

·       Making decisions based on user behaviors and preferences

·       Providing users with real-time data from anywhere

The products are primarily designed to save users time, money, and be innovative. For example, smart sprinkler systems can be controlled remotely to save water. Refrigerators can moderate temperature and reduce energy consumption. Cleaning robots can vacuum the floor autonomously to save you time. Name a task, and there is probably a smart device out there that can do it. 

Supply Chains

Following the Covid-19 pandemic and its impact on supply chains, IoT is more essential than ever within logistics. The likes of Amazon already track the delivery of goods, but there are other ways that IoT can influence supply chain efficiency. 

Source: https://www.zetes.com/en/technologies-consumables/iot-in-supply-chain

Using sensors, companies can understand attributes such as the condition, location, and environment of goods in transit. Real-time access to data keeps you informed, allowing better decision making and the opportunity to take corrective actions should something be wrong. IoT removes manual processes such as emails or phone calls, negates the likelihood of blind spots, and provides complete chain transparency. 

Some organizations are taking this a step further and combining IoT with blockchain technology. For example, IoT sensors can detect a problem with a product in transit, such as being stored at the wrong temperature. Imagine a smart contract is set up on a blockchain that guarantees a specific temperature between the two parties. As soon as that term is broken, it activates the blockchain and alerts all parties that the contract has been breached. 

Autonomous Vehicles

Toyota, Volvo, Tesla, and Ford are a few examples of significant automobile manufacturers aiming to deliver completely autonomous vehicles to the mainstream market. Tesla already has a car with self-driving capabilities.

Self-driving cars operate using IoT. For example, the vehicle is connected to an IoT-based technological system that communicates information about the road and the car itself as it is moving. These systems collect an enormous amount of data on traffic, roads, navigation, and more, which is then evaluated by the car’s computer systems to drive itself.

Financial Services

There are many prospective applications of IoT in financial services. First, institutions may use IoT devices to improve the security of their branches. Banking and financial institutions may avoid money losses by installing IoT-enabled devices such as cameras and mobility sensors and connecting them to the internet.

Thanks to constant data collecting facilitated by IoT solutions, attending to consumers’ demands and requirements have become considerably more straightforward. IoT allows businesses to access real-time datasets, providing services almost instantaneously.

In banks, customers may check online to see how long the queues are at the branch or arrange a cash withdrawal and perform the transaction at any nearby ATM.

Businesses use IoT to collect data for credit risk assessment. Asset management organizations can receive relevant data across various industries such as retail and agriculture for better decision making thanks to modern IoT technologies like D2D (device-to-device) communication protocols and sensor installation.

Summary

Since the pandemic, the number of devices connected to the internet has soared, and that will continue throughout 2022 and beyond. Going forwards, as technologies such as blockchain, 5G, and edge computing become more prominent, there is a vast amount of scope for enhancing IoT devices. 

IoT technology can offer green solutions for businesses, cities, and communities as the focus on establishing a green economy and mitigating climate change intensifies. These applications, which include lowering energy costs, enabling remote installations, monitoring failure spots, and many more, will quickly transition from niche appliacations to IoT growth drivers. 

Naturally, one of the IoT community’s primary goals should emphasize the incorporation of IoT into any realistic model of a sustainable global economy.

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business. Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

How to Value an NFT

Because NFTs are a new type of asset, they have drawn the interest of many new investors worldwide. Usually, members of the art world, the collecting world, and the world of crypto have the most interest. 

Still, as their popularity has grown, NFT prices have shot up, drawing the interest of more people including those interested in NFTs as a speculative asset for potential income.  Because of this interest in potential investment income, the question of valuation becomes much more important. We will discuss the factors that can be used to value NFTs and how this process has been done with data science.

Factors for NFT Valuation

Being new, there are no set of rules used to assess the value of an NFT. The ways that companies and other assets, including art and other collectibles, are valued differently from NFTs and are therefore not directly applicable. One avenue that seems to be somewhat reliable is the payment of the purchase made by the last buyer of the NFT. This is not sufficient because, with NFTs, we have seen significant volatility. It’s hard to guess what the next buyer will be willing to pay just using these estimates from previous purchases. 

Most buyers lack the needed skills and information to logically ascertain an NFT’s value and usually make guesses with little reason behind them. Sellers also have a challenging time determining what kind of price they might receive for the NFTs that they currently hold. In time, much like the value of art, the value of an NFT is driven by perception, and neither the buyer nor seller have any control over this. 

Let’s consider the following: an NFT artwork may be in demand for a particular time with buyers believing it is rare and will produce value in the near term. They then discover that the image is available for free online, and the pool of potential buyer’s dries up.

Renowned artists’ NFTs and tokens that are associated with tangible assets are easier to define their values, but in most cases, investors and traders will have a more challenging time determining the value of the majority of NFTs.  

There are, however, several factors which one can utilize to make a price prediction. And when combined, they produce a much more justifiable and hopefully accurate number.

Scarcity

An NFTs demand is directly proportional to its rarity, but what can we use to determine how rare an NFT is? Artworks from known artists or celebrities or influencers are undoubtedly good examples of rare items. Certain game items and collectible NFTs from the likes of the NBA would also fall into this category. The scarcity factor will add intrinsic value to these NFTs.

These items are numbered, with only a total of up to 99 available. The players are all top stars in the NBA, and NFTs have unique attributes, resulting in their elevated values.

The immutable nature of NFTs gives the holder a sense of value through distinction. Jack Dorsey’s first Tweet NFT would be another example of a scarce NFT giving it added value.

Use

An NFT’s use is also a critical factor in evaluating its value. An NFT must have a real application or utility to add to its value. Take, for example, an NFT that tokenizes a precious metal, security, real estate (real or virtual), or an in-game asset, which will have an intrinsic value for specific buyers. 

When real-world items are tokenized, and ownership is immutable on blockchains, there is a tangible value. The NFT world is just beginning, and as it begins to mature, new innovative use cases will undoubtedly emerge.

NFTs can effectively define ownership and its rights, eliminating fraudulent activities. Their use in a project will influence its value. After it’s minted, an NFT will have value from its built-in characteristics. 

As time passes, the value will accrue at a rate that depends on its utility and the related project. Metaverse tokens from Decentraland that relate to virtual real estate have grown in value due to the strength of the project’s interest. 

Most NFTs with defined use are great for both short-term and long-term trading. NFT event tickets can be a great short-term bet, and those that represent real estate can accrue long-term value.

Interoperability 

Like use, a key factor in valuing an NFT is its interoperability, an NFT’s ability to be utilized in more than one application and across blockchains. If a gadget is able to be used in several games, the chance of the token increasing in value also increases. 

How an NFT works on different blockchains will also make it easier to transact. This is a difficult measure, but the breadth of use for tokens and their interoperability across chains is another way to build value and something that developers can strive to create.

Social Proof

One of the most decisive factors that can determine an NFT’s value is social proof of the underlying project or artist. When someone first encounters an artist or project, there is a tendency to rely on cues from those around the project. An NFT’s social proof indicates what people are thinking about the project, and the more buzz, the better.

Checking the minter and the NFT’s presence on social media platforms like Discord, Telegram, Instagram and Twitter can help to gauge the acceptability. If followers are low, it will indicate that there is a missing foundation, and the NFT’s value will be low and may never grow. Social proof of the NFT and the project or person behind are significant factors when building a valuation.  

Provenance (Ownership History)

The identity of an NFTs issuer and its previous owners can affect the NFT’s value. NFTs created by well-known people, projects, or corporations can benefit from an ownership history value. This attribute can be enhanced in an NFT by working with groups or individuals with a substantial brand value when minting their NFTs. 

Reselling NFTs that were held by influencers is another avenue to gain traction as well. NFT marketplaces and sellers can aid buyers in finding information about previous owners of NFTs, providing a simple user interface with tracking. By highlighting investors who have been successful with NFT trading, they help other buyers with valuable insights.

Liquidity

NFTs that have significant liquidity will carry an added value. Secondary markets that have frictionless BSC or ERC standard NFT trades give added access to buyers. Traders will flock to NFTs that have higher volume knowing their tokens can be sold when desired and profits are taken. A token with high liquidity is better able to retain its value even if the native platform is closed.  

Increasing engagement is essential for token economics, and liquidity is one way to enhance engagement. In-built systems that depreciate NFTs for being idle and encourage competition can build a more substantial market. NFT systems should be created to support the liquidity of the emerging NFT market.

Price Speculation

Speculation can be a catalyst for appreciation. We have seen several NFTs, collections, and the market as a whole jump in value by thousands of percent in a short time. While some will oppose speculation as a valuation driver, the desire of humans cannot be neglected.  

The conventional financial system of derivatives bases its values on speculation, and this speculation element should also be included in NFT valuations. Charts of price performance, a project’s assets, and even items beyond fan speculation can drive price speculation in NFTs.

NFT Ecosystem Changes

As the ecosystem of NFTs continues to evolve, additional factors will affect NFTs’ values, which will need to be incorporated to improve price valuation accuracy. Like art, NFTs have subjective values, and this makes valuing an NFT in the future more difficult. NFTs have nearly endless possibilities. Their use and versatility will continue to grow with additional applications and categories. These will need to be applied to future price valuations. 

Valuing NFTs With Data Science

Data science advisor for the London Business School and mentor at Cambridge University’s Judge Business School, Stylianos (Stelios) Kampakis, recently worked on a paper with one of his students that undertook the process of valuing the popular CryptoPunks NFTs using hedonic regression. Here are some examples of these NFTs. 

The highest price for a single NFT in this collection was $24 million, #5822.

CryptoPunk #5822

The paper looked at what attributes could contribute most to valuation, and the author stated that it can be used for a similar system with other NFTs, and the paper showed how it could compare NFTs to more traditional investments. The paper reviewed the “physical differences” between the various artistic attributes of NFT art and found specific physical attributes (a beanie, bandana, glasses, facial hair type), or a lack of which, leading to scarcity were more important in defining value.  

A similar regression could be applied to other NFTs using available price data, and then adding in the various attributes we have outlined above to improve the valuations further. 

Closing Thoughts

When trying to estimate the value of NFTs, we must be mindful that not all of them will be valuable. The vast majority may have 15 minutes of fame and then crash or never even have that 15 minute of fame. 

When valuing, consider all the factors to arrive at a price decision, even new ones that have not been discussed here. Conducting due diligence to make an informed decision should be part of any financial decision, including the purchase and sale of NFTs.

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business. Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

GameFi 

With the advent of blockchain, a new space has been created for the world of video games. GameFi has rapidly been expanding into the more traditional video gaming industry since its first appearance with Axie Infinity

Axie attracts gamers to its universe by offering them opportunities to make money while they are enjoying the game. We will be explaining GameFi and the differences between it and the more familiar traditional video games we know, how one can get started on a particular GameFi game, and potential income streams they provide players and investors.

GameFi in Brief

GameFi starts with combining the words game and finance, similar to DeFi for decentralized finance. GameFi refers to a blockchain-based game model that has a play-to-earn feature that incentivizes players. In a GameFi ecosystem, blockchain technologies with cryptocurrencies and NFTs (non-fungible tokens) create a virtual gaming environment for the players.

Players can earn in-game rewards by completing in-game tasks, winning battles with other players, or reaching new game levels. These assets earned during play are owned and controlled by the player and can even be traded on crypto exchanges or NFT marketplaces.

GameFi’s Inner-Workings

GameFi player rewards come in many forms. Anything such as native cryptocurrencies or in-game assets like avatars, avatar features and costumes, weapons, virtual land, and virtual building materials. 

Every GameFi project will create its own different game model and economy built around that model. Generally, a game will create its in-game assets as NFTs running on a blockchain project or sidechain, while in other cases, the in-game assets would need to be converted to NFTs before players could trade them. This second model can be a cost-saving method for the game’s project, putting the fees to create the NFT on the trader.

In-game assets will generally provide a specified benefit to the game’s players, which allows them to make additional rewards. However, some games will feature player avatars and cosmetic changes, which are purely visual and have no impact on either gameplay or the in-game earning.

Depending on the game’s model, players can earn rewards through the completion of tasks, winning battles against other players, or constructing and monetizing structures on their owned plots of land. Some games will allow their players to generate passive income, not even having to play the game. This can be through staking or lending of their owned game assets to other players.  

Common GameFi Features

Let us look at GameFi’s most common features.

Play-to-Earn (P2E)

Nearly every GameFi project will have a Play-to-Earn or P2E model as a novel gaming mode at its core. This P2E model turned the gaming world on its head, which has relied on a Pay-to-Play (P2P) model that started with the video game arcades of the 1970s. 

The Pay-to-Play model requires a gamer to invest before they can begin playing the game, putting money into the Astrids game at Dave and Busters, or nowadays purchasing a Call of Duty license or recurring membership subscription for their Xbox.

In the majority of cases, traditional video games with the Pay-to-Play model will not generate any financial rewards for their players, and any in-game assets that the player obtains are controlled and held by the gaming company only for use by that player. The P2E model, in contrast, will give players complete control over their in-game assets and will also provide them opportunities to make money for their play or passively.  

The economics of the game will depend on the GameFi project’s chosen model. Games built around a decentralized blockchain technology can and should give their players complete control over their acquired in-game assets. However, this is not always the case. Players should understand how the chosen game works, its economics, and who is behind the project before devoting time to any P2E game. 

One notable feature of P2E games is that they can be free to play but still have the ability to generate financial rewards for their players. However, some GameFi projects will require players to purchase NFTs or other crypto assets before being allowed to play. 

Axie Infinity

Axie Infinity has gained the spot of one of the most popular Play-to-Earn games. Axie is an Ethereum-based game with NFTs that has grown in popularity since its release in 2018.  Players can use their NFT pets, called Axies, to earn Smooth Love Potion (SLP) tokens.

Graph courtesy of coinmarketcap.com

These can be earned by completing daily tasks and by battling other players. Players can also get the rewards of another coin, the AXS, if they are able to achieve a defined player versus player (PvP) rank.  

Graph courtesy of coinmarketcap.com

On top of this, Axie Infinity players can use both AXS and SLP to breed new Axies, and these new Axies can be used in-game or traded on the Axie Infinity NFT marketplace.

Beyond buying and selling Axies, players have the ability to lend their Axies to other players, in a process known as scholarship, allowing NFT owners the ability to earn without having to play the game. This model of lending gives the borrowers called scholars the use of the Axies to earn rewards during play without having to pay anything up front.

This passive model is a way for players with strong Axies to earn without investing other than what they made through their own play beforehand. Rewards earned with the borrowed Axie are split between the scholar’s student and the Axie’s owner. 

Ownership of Digital Assets

Blockchain technology allows for digital asset ownership, and this makes it possible for owners to monetize their in-game assets in several ways possible for a project.

With traditional video games, a player can own pets, houses, avatars, weapons, tools, construction materials, and much more. But with GameFi, these assets can be issued in NFT form and minted on the blockchain. With this GameFi system, the player will have full control over their in-game assets. The ownership of these assets can be verified, are transferable, and can be authenticated.

With the rise of metaverse games such as Decentraland, TheSandbox, and a few other lesser-known games, the focus on virtual real estate has grown, and its ownership has grown as well. These games allow players to purchase and monetize their virtual real estate like it was property in the real world. 

The Sandbox allows its players to buy plots of digital real estate and then develop these plots so that they can generate value through revenues. One popular form of development has been the creation of casinos in these metaverses. Some of the developed lands will charge other players to visit when they are the venue hosting content or events like virtual concerts bringing in thousands of visitors all paying to see the event, or they can also rent this customized land to other players who will monetize it.

Applications for DeFi

There are some GameFi projects that provide DeFi features like staking, liquidity, and yield farming. With these GameFi projects, a player can stake their game tokens to earn rewards, unlock special items, or gain access to new gaming levels. 

The introduction of these DeFi elements can make blockchain gaming more decentralized. Traditional game companies will have centralized control of the game and its updates; some GameFi projects allow its community to participate in the game vision process, proposing future updates via DAOs (decentralized autonomous organizations).

Using MANA, the native governance tokens of Decentraland, players can vote on a project’s organizational and in-game policies if they lock their tokens in the DAO. The more tokens they lock, the stronger their voting power. This system allows gamers to have a direct influence on the development of the game they are playing.

Traditional Games and GameFi

With traditional games, a player can earn in-game currency that is used to purchase assets and upgrade characters. However, these tokens cannot generally be traded outside of the game space. They will also not have any value beyond the game’s scope, and even if they do, most games will prohibit players from monetizing and trading the earned/purchased assets in the real world.

Blockchain-based games have in-game tokens and assets in cryptocurrency or NFT form. Some games will use virtual tokens rather than crypto or NFTs. However, players can usually convert their in-game assets into NFTs if so desired, allowing the gamer to transfer their earnings to a crypto wallet and trade the crypto on exchanges and the NFTs on marketplaces. The crypto profits from in-game can be converted via an exchange or marketplace to fiat currency as well.

Joining the World of GameFi

There are already thousands of blockchain games available to play, and each has its own tokenomics system. Players should be careful of fraud projects or spoofed websites.  Downloading a game from the wrong website or connecting a wallet to the wrong site can be detrimental. 

It is best to create a new crypto wallet for the GameFi game and only use funds that can be lost in a worst-case scenario. Once you have found a Game you are confident with, you can begin.

Create a Crypto Wallet

Accessing a game will require a compatible crypto wallet. MetaMask and Trust Wallets are commonly used. 

The chosen game may use a different wallet or connect to a specific blockchain network. Blockchain games on the BNB Smart Chain (previously the Binance Smart Chain) will require that a Metamask wallet be first connected to the BSC network. A Trust Wallet or other supported wallet could potentially be used.

Games running on the Ethereum network can be accessed when you connect your wallet to the Ethereum blockchain. Some games like Gods Unchained and Axie Infinity have built their own wallets, reducing costs and improving performance, so you may need to create one of these. 

Connect the Wallet to the Game

A wallet will need to be connected before gameplay can occur. Connect with the official website only. Find the website and look for the wallet connection option. Most blockchain games will use your wallet as your account username and password, so most games will ask you to sign a user message to your wallet, allowing you to connect to the game.

Check Game Requirements

Most projects will require the purchase of some native cryptocurrency or an in-game NFT to begin. The upfront requirement will vary from project to project, and you should consider this purchase’s earning potential and overall risk before moving forward. Include in this estimate the time needed to get your initial investment back, and any profits that can be obtained.

3 Axies are needed in a wallet to play Axie Infinity, which can be purchased in the marketplace. This purchase will require wrapped ETH (WETH) in a Ronin Wallet. ETH can be bought elsewhere, and the Ronin bridge can be used to transfer the ETH to your Ronin Wallet. If you do not have the upfront funds, you can look for a scholarship program. Allowing you to borrow NFT Axies, but you will share your earnings with the Axies’ owners.

GameFi’s Future

In the past year, GameFi has grown tremendously and will likely continue with the spread of more blockchain projects. In July 2022, DappRadar lists nearly 1750 blockchain games, up from about 1400 in March of the same year–25% in four months. 

There are now popular games crossing multiple blockchains beyond Ethereum and the BNB Smart Chain, including Solana, Polygon, Harmoney, and more. The ability for players to own and earn from their in-game assets is especially attractive in developing countries. With the continued growth of blockchain tech, the GameFi world will continue its speedy growth.   

Final Thoughts

Browser games have hoped to make Bitcoin profits since the beginnings of blockchain tech.  Ethereum was created from a desire of a young man to have control over his in-game assets.  The advent of smart contracts has changed the potential of the gaming world, with decentralized novel experiences and opportunities. 

GameFi can attract gamers, providing an entertaining escape and a financial incentive. The growing popularity of blockchain-based games will continue and will likely be a driving force behind the development of the metaverse.

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Robin Trehan, has a bachelor’s degree in economics, a master’s in international business and finance, and an MBA in electronic business. Mr. Trehan is a Senior VP at Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees.

Mining After Ethereum 2.0

In our last article we introduced the Ethereum Merge and its potentially profound impact upon the world of investing–whether for traditional or digital assets. Bellatrix on September 6th paved the way for the final merge to likely happen around September 15th through the second stage–Paris. With this comes the transition from proof of work (PoW) to proof of stake (PoS). What will mining after Ethereum 2.0 look like? 

The proof of work protocol entails two components for its blockchain: “miners” and work. Validators, dubbed miners, work to solve hash puzzles before adding a subsequent block to a blockchain. Each block contains a set of transaction data to be added to the immutable public ledger than is any one blockchain. 

Mining after Ethereum 2.0 actually refers to “staking,” or the practice of validators staking (read: depositing) their assets for the benefit of a blockchain’s protocol. Proof of stake uses a modified form of random selection favoring integrous stakers with larger deposits while not disenfranchising those holding smaller deposits. 

This article delves into proof of stake, Ethereum 2.0, and the larger impact of staking. Let’s get into it. 

Proof of Stake

A younger invention than the proof of work arriving over a decade ago with Satoshi Nakamoto’s Bitcoin, it shifts the onus from energy-intensive work and computation to at-risk deposits and integrity. 

Ethereum’s PoS introduces a complex system focusing on the character of its validators (stakers). To participate, each validator must first deposit 32 ETH (ether) into a smart contract and operate using three different pieces of software: an execution client, a consensus client, and validator. 

Once their validation account is active, validating users receive new blocks from peers operating on the Ethereum network. The blocks’ transactions are “re-executed,” and the validator checks the block signatures to ensure they’re valid. The validator finally sends a vote–referred to as an attestation–in favor of each new block across the network. 

PoS also introduces a unique feature carrying potential benefits for scaling: The timing of adding blocks remains fixed. Simply put, one slot occurs every 12 seconds and an epoch refers to 32 slots. 

The protocol randomly selects one validator per slot, to function as a block proposer. The validator therefore remains responsible for sending out new blocks to the network. And with every slot, a committee of validators–randomly chosen–votes on the validity of the new block.

Source: Finematics

Mining After Ethereum 2.0

In short, mining ceases to exist in favor of staking. PoW ensures validator integrity through the work they must complete in solving the next hash puzzle required for adding the next block. PoS ensures integrity through the extraordinary financial cost in engaging in dishonest behavior. 

PoS validators lose out on ETH rewards if they fail to validate when selected. In addition, their existing stake is up for removal if they behave dishonestly: namely proposing multiple blocks for a single slot or sending contradictory attestations. The penalties increase gradually the longer a validator fails to provide honest attestations–leading to outright ejection from the Ethereum network after 36 days. 

Any attack–even coordinated–would therefore be extremely costly for the criminal party given that the minimum staking amount is 32 ETH.

A 51% attack to propose an entirely separate blockchain of transaction data, feared in the PoW domain, requires billions upon billions in dollar equivalent of staked ETH. However, the Ethereum community would recognize a single bad actor or group of actors trying to propagate this false chain. They could then mount a counterattack by raising alarms, at which point the network would likely destroy all the staked ETH of the false chain. 

Integrity is ensured through the heavy economic cost and the collective voice of honest validators. 

The Benefits of Staking

Previously, we’ve touched upon the environmental benefits of switching to staking in a world ravaged by climate change. Ethereum’s energy usage would decrease by approximately 99.95%. 

However, there are number of additional benefits: 

  1. Passive income. Staking enables retail individuals in securing the Ethereum network, even from a laptop. Staking pools collate ETH and allow individuals to stake without having the required 32 ETH. 
  2. Increased decentralization. Economies of scale happen with PoW as institutions have the cash balances necessary to purchase dedicated, intensive “rigs.” 
  3. Economic security. PoS expressly uses staked (locked) deposits, which are held liable for destructing provided dishonest behavior. 

There are some notes to consider, however, before entering into staking: 

  1. PoS is younger and lesser-known than PoW. 
  2. PoS is complex as it locks the addition time of new blocks and consistently monitors the actions of validators. 
  3. A validator needs to use three pieces of software. 

Closing Thoughts

PoS opens the door to the crypto universe for all individuals or entities, large or small, while removing the economic incentives of bad actors. PoW works from a security perspective while ironically encouraging some centralization and excluding the vast majority of potential validators as it matures. 

Retail investors now enjoy several solid, regulated crypto exchanges for entering into crypto without jeopardizing their security. In tandem, yields from traditional bond investing pales alongside staking’s potential return. This spells opportunity for forward-looking banks embracing tomorrow.  

Democracy and opportunity remain the heart of cryptocurrency. Ethereum’s PoS represents an invention furthering that ideal to anyone with an internet connection.

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Conor Scott, CFA, has been active in the wealth management industry since 2012, continuously researching the latest developments affecting portfolio management and cryptocurrency. Mr. Scott is a Freelance Writer for Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees. This information should not be interpreted as an endorsement of cryptocurrency or any specific provider, service, or offering. It is not a recommendation to trade. 

The History of Stablecoins

Stablecoins, especially fiat-backed stablecoins, seem poised to dominate online currency exchanges across the world. Tether grew by approximately 82 billion USD in five years and USD coin by approximately 54 billion USD in two years. How did this happen? What is the history of stablecoins? 

In a word, brief. In several words: expansive, incredible, awe-inspiring, somewhat confusing. 

This article follows the history of stablecoins from its first origination only five years after Satoshi Nakamoto’s Bitcoin, 2014, through to today. In other words, this article describes the creation of hundreds of billions of market capitalization of a new asset class in eight years. 

BitUSD 

The world’s first stablecoin was released on July 21, 2014. As a crypto-backed stablecoin, BitUSD was issued on the BitShares blockchain, which is now mired in obscurity. 

Dan Larimer (EOS) and Charles Hoskinson (Cardano) envisioned these pioneering digital assets before they went on to become cryptocurrency rockstars today. 

However, BitUSD lost its 1 to 1 parity with the US dollar in 2018 and has been unable to recover since. BitMEX’s research brilliantly highlighted the stablecoin’s weakness in their detailed analysis of BitUSD. BitUSD was collateralized with an obscure, volatile, itself-unbacked asset, BitShares. 

In the event of a fall in the price of BitShares, a single BitUSD can be used to purchase more of Bitshares and thereby encourage mass arbitrage similar to traders of traditional asset classes. However, the opposite was not guaranteed. There was only an implied pile of reserves from BitShares alone. Therefore, BitUSD operated much more like a volatile security than a stablecoin. 

Yet it did succeed in putting the concept of pegged stablecoins on the radar and beginning the history of stablecoins.

NuBits

Also launched in 2014, the second stablecoin provided ample lessons to the fledgling, but growing crypto community. NuBits was crypto-collateralized, similar to BitUSD, but this time using Bitcoin. 

Ultimately, that failed to help in any way. Since Bitcoin was and is a volatile asset trading according to the tune of speculators across the world, Nubits reserves could not be high enough nor mature enough to withstand a rout. As Bitcoin fell, the coin’s reserves fell. 

Like with traditional investing, the primary method to reduce the impact of volatility is to diversify. However, not only were the reserves of NuBits fairly volatile, they were insufficient and undiversified. 

A lack of capital and diversification spelled doom for the second stablecoin, now trading around 0.04 USD. 

TerraUSD

In May 2022, the TerraUSD (UST) algorithmic stablecoin crashed, hard, losing almost all of its value in days. 

Source: How It Happened

TerraUSD relied upon an algorithm and the forces of arbitrage to fix the value of one UST to one US dollar. If it became too cheap, the (centralized) powers behind UST could retract supply or provide further incentives for holders of other cryptocurrencies to convert their holdings into UST coins. If it became too expensive, additional supply could be created. 

However, demand would remain naturally occurring, even if incentivized. This translated into a glaring weakness. 

Despite the Luna Foundation Guard, the body protecting TerraUSD’s reserves, once holding a warchest of over 70 thousand bitcoins, it failed to prop up the stablecoin in the face of a complete rout. Today, one UST is roughly 0.02 USD. 

The Lesson

In the history of stablecoins, all three carry one essential lesson: unstable cannot back stable. In normal market circumstances, partial reserves and arbitrage mechanics probably do the job just fine in the context of fractional reserve banking. As long as all investors do not act all at once, a non-fiat-backed stablecoin should function normally. 

This is why the headlines covering each of these three crashes also carry the same tone of: fine, until not fine. In each instance, too many investors piled into the selloffs and effectively broke the reserve assets. 

Unless there is a 100%, stable reserve backing a so-called stablecoin, most investors feel weary of the street logic. Meaning, how can an idea of assumed stability or enough volatile reserves become enough to handle a total rout? It can’t. That’s all there’s to it. 

Tether

Launched in 2014, Tether (USDT) came to extraordinary success with a current market capitalization exceeding 67 billion USD. 

This stablecoin fixes the issues inherent in the previous three. It relies not upon volatile reserves or the idea of persistent arbitrage trading, but on hard reserves of fiat currency. For every Tether coin in existence, there is one US dollar in a vault backing its existence. 

In this way, the stablecoin handles a complete theoretical rout with ease. Tether continues to serve the burgeoning digital asset space while garnering the implicit affection of regulators.

Dai 

Launched in 2017, MakerDAO’s Dai is a decentralized, crypto-backed stablecoin capturing the hearts of DeFi (decentralized finance) investors. 

The match in ethos feels all well and good, but is Dai secure? Is it at risk because of its crypto-backed nature? 

Dai has yet to crash or break its 1 to 1 peg to the US dollar. The stablecoin is technically a hybrid of crypto-backed and algorithmic, employing a simple algorithm requiring 1.70 USD worth of Ethereum to be deposited in exchange for any 1.00 Dai. 

The premise here remains simple and that is a very good thing in terms of handling potential crashes. MakerDAO is banking on (1) a 70% buffer in value and (2) diversified reserves. In addition to Ethereum, the stablecoin utilizes USD Coin (like Tether; 42% of reserves) and Wrapped Bitcoin amongst others. 

And in these holdings we see a third, albeit clever safety mechanism. Approximately half of Dai’s reserves are fiat-backed through fiat-backed stablecoins. 

Closing Thoughts

The history of stablecoins remains brief, but exceptional. In that time, entrepreneurs daring to transfer the global landscape of financial services learned key lessons. 

BitUSD, NuBits, and TerraUSD failed due to an overreliance upon a volatile asset backing an intentionally stable asset. Volatility without diversification struggled under the weight of investor redemptions–something any bank could potentially encounter. The growing Dai stablecoin continues to succeed due to its steep algorithmic requirements and diversity in reserves. 

Tether and USD Coin function remarkably well despite a “crypto winter” and leave regulators in begrudging awe of their efficacy. In eight years, stablecoins stand ready to disrupt traditional financial services on a global scale. 

Disclaimer: The author of this text, Jean Chalopin, is a global business leader with a background encompassing banking, biotech, and entertainment. Mr. Chalopin is Chairman of Deltec International Group, www.deltecbank.com.

The co-author of this text, Conor Scott, CFA, has been active in the wealth management industry since 2012, continuously researching the latest developments affecting portfolio management and cryptocurrency. Mr. Scott is a Freelance Writer for Deltec International Group, www.deltecbank.com.

The views, thoughts, and opinions expressed in this text are solely the views of the authors, and do not necessarily reflect those of Deltec International Group, its subsidiaries, and/or its employees. This information should not be interpreted as an endorsement of cryptocurrency or any specific provider, service, or offering. It is not a recommendation to trade. 

design and development by covio.fr