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Blockchain

Gaming

Metaverse

NFTs

Web3

XR Tech

Sensorium Arc

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We’re launching a new Meme Battle. Join our Season 9 of the competition and get a chance to win SENSO tokens.

Meme Battle of Sensorians with the 10,000 SENSO - Christmas Season 9

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We’re launching a new Meme Battle. Join our Season 8 of the competition and get a chance to win SENSO tokens.

Meme Battle of Sensorians - Season 8

We’re launching a new Meme Battle. Join our Season 7 of the competition and get a chance to win SENSO tokens.

Meme Battle of Sensorians - Season 7

Rachel Breia

A year ago, at the start of 2021, only a small group of people on the internet really knew what NFTs were. And while non-fungible tokens have been around since the mid-2010’s, it was the now infamous Christie’s [auction](lhttps://www.christies.com/features/Monumental-collage-by-Beeple-is-first-purely-digital-artwork-NFT-to-come-to-auction-11510-7.aspx) of Beeple’s ‘Everydays: the First 5000 Days’ that really kicked the NFT craze off. By the end of last year, $41bn had been spent on NFTs and now the world is all over the media, social networks, talk shows and day to day conversations. Crypto investors and enthusiasts have been quick to rush to all things NFT, but you too might now be interested in developing your own NFTs or leveraging your business with non-fungible tokens. Before you do, it’s worth understanding the different blockchain standards available, how to best compare them in connection to your needs and the considerations to bear in mind so you can make the right choice.


## What is a blockchain?

Let’s start from the beginning. A blockchain is a decentralized database that is managed by a network of peer-to-peer computers. As it is decentralized, there is no central authority mediating transactions or having oversight over the network. All transactions within a blockchain take place in blocks that are verified and validated by, as earlier mentioned, a network of computers. By using complex cryptography, each block comes with a data record of previous blocks (or transactions) and a timestamp. Given the architecture of a blockchain, it would be incredibly difficult for anyone to hack it and tamper with the information contained in the blocks. This makes blockchain technology a safe way of executing transactions without the need for an intermediary. Non-Fungible Tokens (NFTs) are tokens that are minted (created) on blockchains. Each NFT will have their unique identifier in the form of a code, which is associated with an address inside the chain. Using the blockchain’s system of tracking and securing information, NFTs can become a reliable form of recording of information like the creation, sale or re-sale of a digital item.


## What should you know before choosing a blockchain for NFTs? 

Thanks to blockchain technology, a wide variety of assets can be tokenized and the use cases are immense, from entertainment and logistics to ticketing and real estate. As such, not all blockchains will be suitable for the development of the NFTs you might have in mind. When searching for the best platform, there are several features to take into account:

**Transaction speed**

Ideally, you’ll be looking for a blockchain that can support a high number of transactions per second as this could prove to be a make or break element when it comes to the success of your NFT development project. If transactions take a long time to finalize, it creates a bottleneck. Users can choose to pay an extra fee to miners in order to have their transactions prioritized or risk waiting for long periods of time. This creates an opportunity for potential attackers to tamper with transactions, something you clearly won’t want to see happening.

**Transaction costs**

All transactions on a blockchain cost money. And, let’s be honest, most NFTs are unlikely to be sold for hundreds of thousands of dollars. If you’re looking to keep your costs under control when developing NFTs, it’s always smart to compare the fees charged to settle transactions in a blockchain.

**Smart contract functionality**

NFTs are implemented and executed using smart contracts which set the terms of an exchange between a buyer and a seller without the need for an intermediary. A reliable blockchain should have robust and fool-proof contracts as the opposite could lead to frauds and scams on the network. In order to prevent problems with the language of the contracts, which can lead to tokens being lost, a blockchain should have safeguards in place.

**Security**

Needless to say that an ultra-secure blockchain is the option you should be looking for unless you’re willing to risk losing your resources and data. What you’ll be looking for is a blockchain that relies on an alternative consensus mechanism like proof of stake versus proof of work as the latter is more prone to being the target of attacks.

**Forking**

The allure of NFTs are their uniqueness and rarity, and the last thing you ever want to imagine happening is the value of your non-fungible tokens going to zero. That’s something that can happen through hard forks which lead to NFT duplicates. The possibility of forking is then a major consideration to keep in mind and you’ll likely want to search for fork-proof solutions.

In addition to all the features mentioned, different blockchains will have their own marketplace integration and interoperability possibilities as well as the application possibilities their NFTs could have. This can be a significant factor when choosing NFT marketplaces, for example, and determining which blockchain meets your long-term needs.



## What are the top blockchains for NFT development?

 

### [Ethereum](https://ethereum.org/en/)

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Ethereum has so far won the race when it comes to crypto and NFTs, despite some stiff competition for other blockchains. As the original blockchains for NFT, it remains the most widely used blockchain for minting NFTs, no doubt thanks to how simple and easy it is to use. Another part of its appeal had to do with the number of top NFT marketplaces that leverage the Ethereum network like [OpenSea](https://opensea.io/), [Rarible](https://rarible.com/) and [Decentraland](https://decentraland.org/), all of which use the ERC721 standard. This Ethereum standard ranks among the most trustworthy when it comes to creating non-fungible tokens. However, it might not be the best network for those looking for cheaper gas fees. Ethereum has seen the cost of minting NFTs surging as demand in the Ethereum blockchain becomes heavier, which has also led to congestion and scalability complaints in the past, not to mention the controversies it has faced over its proof-of-work system which is a heavily energy-consuming option for minting NFTs and settling network transactions.


### [Binance Smart Chain](https://www.binance.org/en)

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As mentioned Ethereum has faced multiple issues that have seen users turning to cheaper and even faster alternatives. Binance Smart Chain is a parallel blockchain platform to the Binance Chain network and it specializes in smart-contract-based applications and features compatibility with the [Ethereum Virtual Machine (EVM)](https://academy.binance.com/en/articles/what-is-ethereum#how-does-ethereum-work), all while maintaining fast transaction speeds and charging low gas fees. Given its EVM-compatibility, this blockchain can support a whole range of Ethereum DApps and tools, opening up opportunities for both developers and users. The Binance Smart Chain supports token standards like the BEP2E token and the ERC-20 token (ETH) as well as its native cryptocurrency, the Binance Coin (BNB).

### [Polygon](https://polygon.technology/)


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Polygon is a Layer 2 blockchain that has become known for being one of the most reliable and affordable blockchains out there. The world’s largest NFT marketplace, [OpenSea](https://opensea.io/), has Polygon NFTs integrated into its platform and some of the most popular NFT-based games like [Aavegotchi](https://aavegotchi.com/) and [Polychain Monsters](https://polychainmonsters.com/), also use Polygon’s scaling technology to ensure more dynamic experiences. A feature that appeals to users is its ‘lazy minting’ functionality,, meaning that there are no upfront costs when creating NFTs. There is, however, a fee that is charged when an NFT is sold. Layer 2 blockchain networks are designed for efficiency and Polygon is no different, offering near-zero transaction fees and quick settlement times while also being a low energy option.

### [Solana](https://solanart.io/)

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Despite being an up-and-coming blockchain, Solana has seen a massive surge in adoption, posing some serious competition to the likes of Ethereum and Cardano. And it’s clear why crypto and digital art enthusiasts have started their NFT minting on this chain. Solana has a solid reputation as a high-efficiency blockchain capable of processing 65,000 TPS while keeping fees at less than $0.01. Unlike any other blockchain, Solana combines proof-of-history (PoH) and proof-of-stake (PoS) consensus mechanisms, which helps secure quicker-than-average validation times for both transaction and smart contract execution. Another attractive functionality is scalability and that’s evident by the speed of growth of the Solana ecosystem that now encompasses, among others, some of the top NFT platforms like [Solanart](https://solanart.io/) and [Magic Eden](https://www.magiceden.io/). In addition, this blockchain is a low carbon alternative to other chains (the developer claims one Solana transaction consumes less energy than two Google searches). You might have also heard of Solana before because of its native cryptocurrency, SOL, whose value has also shot up as of recently.


### [Flow](https://www.onflow.org/)





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Flow focuses specifically on supporting game and metaverse NFTs as well as assets like digital collectibles, leveraging the long experience of its developer, [Dapper Labs](https://www.dapperlabs.com/), which has had tremendous success with projects like [CryptoKittes](https://www.cryptokitties.co/), [Dapper Wallet](https://www.meetdapper.com/) and, of course, the [NBA Top Shot](https://nbatopshot.com/). Flow is a high-performance blockchain that has a number of integration and interoperability features that make it especially desirable for decentralized apps (Dapps), including NFT marketplaces. In addition, the Flow blockchain allows anyone to become a validator (also known as miner) for the blockchain without the need for any particular requirements like specialized equipment, meaning that joining Flow is a fairly easy process. Moreover, this blockchain uses the proof-of-stake algorithm which keeps costs low while ensuring that the platform is environment-friendly. Other characteristics that make it a cut above the rest include finality of transactions, upgradable smart contract features, human readable security and smart use account recovery options.

### [Cardano](https://cardano.org/)


Cardano Blockchain.jpg


Cardano is a distributed proof-of-stake blockchain, founded by Ethereum's co-founder Charles Hoskinson. The platform is focused on scalability and efficiency while enabling robust applications and settling transactions in its own native currency - ADA. Cardano was also developed to be an environment-friendly blockchain. One of its key advantages is being able to secure high performance at 65,000 transactions per second, making it one of the fastest blockchains available. As if that wasn’t impressive enough, its upcoming Layer 2 scaling protocol, called Hydra, could see that number being boosted up to [2 million TPS](https://summit.cardano.org/sessions/hydra-the-multi-headed-scalability-protocol). The transaction costs on this blockchain are also fairly [low](https://messari.io/asset/cardano/chart/txn-fee-avg) when compared to the competition. Just like the Binance blockchain, it features Ethereum Virtual Machine compatibility to support Ethereum-based smart contracts and DApps.

### [Immutable X](https://www.immutable.com/)





Immutable X Blockchain.jpg

Immutable X is another great Layer 2 blockchain that focuses on allowing NFTs to be developed in an open, decentralized ecosystem, secured by Ethereum. This allows anyone to create an NFT project without having to worry about congestion, scalability or slow developer experience. This blockchain also has a zero gas fees system for peer-to-peer transactions and relies on its native currency IMX (an ERC-20 utility token) for governance, staking and fee payment purposes. When it comes to transaction speeds, Immutable X currently supports 9,000 TPS.


### [Tezos](https://tezos.com/)



Tezos Blockchain.jpg

This emerging open-source blockchain is based on a liquid proof-of-stake algorithm, which Tezos claims is aimed at encouraging the collaboration and participation of its users who are responsible for overseeing the governance of the network and ensuring future upgradability features. Participation is done through holding the native cryptocurrency of this platform - Tez. It’s important to note that Tezos has three token standards, but only one of them, the FA2, is designed to mint NFTs. The blockchain is capable of facilitating as much as up to 40 TPS, for less than a penny per transaction. A number of marketplaces where users can easily mint, buy and sell NFT collections work on the Tezos blockchain, including [Hicetnunc](https://hicetnunc.art/) and [Kalamint](https://kalamint.io/).

### [Wakatta](https://wkt.io/)


Wakatta Blockchain.jpg

Wakatta is an NFT-focused blockchain developed by [Sensorium DLT](https://sensoriumxr.com/dlt), with the purpose of catering to the needs of the entertainment industry. This blockchain was developed using the Substrate technology framework, the same that powers the Polkadot ecosystem, and has a number of attractive features like ultra-low network transaction fees set at an average of<$0.001 and the capability to support 1000+ TPS. Unlike other blockchains, Wakatta has brought to market a new range of pioneering NFTs that are upgradable, time-limited, and non-hashed. NFT developers can also benefit from Ethereum Virtual Machine compatibility, on-chain NFT auctions, multi-role assignments for Dapps, customizable onboarding mechanics for digital environments, algorithmic incentives for validators, among many others. The architecture of this blockchain is specifically designed for NFT businesses and creators, offering easy and convenient solutions for those who aren’t non-crypto savvy and want to integrate non-fungible tokens into their infrastructures and take advantage of robust and NFTs minted through Wakatta’s proprietary platform. On top of all these features, as a nominated Proof-of-Stake blockchain, Wakatta is also 99% greener when compared to energy-intensive networks like Ethereum.

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NFTs are a tech trend that can't be missed. If you're looking to jump in and leverage the potential of non-fungible tokens, here's a quick guide to the best blockchains for NFT development. 

Best Blockchains For NFT Development

If there’s one thing we’re learning in 2022 is that the crypto market is still young and facing intense volatility.

And yes, I know, trying to to understand how cryptocurrencies work can be complicated and time-consuming at best. It doesn’t help either that the language can sound like over the top jargon most of the time. But don’t let that deter you.

Whether you’re a newcomer or someone who finally wants to crack the mystical market cryptocurrencies, perhaps it’s time to consider turning to a robo-advisor and automate your digital asset investments.

That way you won’t have to spend hours researching and tracking the crypto market, and you’ll be able to invest in the cryptocurrency market with minimal effort.

But what are robo-advisors, and what do they do? Here’s an overview that can help you decide whether a robo-advisor might be a good fit for your goals and the top platforms that you should be looking at in 2022.

## What Is A Robo-Advisor

Simply put, a robo-advisor is an automated investment service that relies on computer algorithms and complex software to manage financial portfolios.

Since being developed over a decade ago, these types of automated advisors have become increasingly popular, in particular with novice investors. That isn’t to say that more experienced investors can’t reap the benefits of using this service as well.

Robo-advisors are a great option for those of us who don’t have the time to keep up with the markets or simply don’t want the anxiety of managing our own portfolios.

There are many benefits in choosing an automated advisor over a traditional financial advisor. Let’s look at how this all works.

When you sign up for a robo-advisor, you’ll be asked to complete a questionnaire to assess your personal preferences such as your financial goals, time horizon, and risk tolerance. Based on this data, robo-advisors weigh your personal preferences against unpredictable market forces, like volatility and asset class performance, to recommend the diversified portfolio strategy that better meets your needs.

From here, you can set it and forget it, so that your funds will be managed and rebalanced automatically by your robot advisor.

Choosing a robot advisor can be a good move to invest in the stock market with minimal effort and peace of mind. They’re also typically cheaper than traditional advisors as they charge less fees, including the minimum initial deposit.

## What Is a Crypto Robo-Advisor

A crypto robo-advisor is an online platform that will manage your crypto investments automatically. Instead of a human financial advisor, advice specializing in cryptocurrencies and non-fungible tokens (NFTs) is being generated by algorithms so that your financial goals are reached while you get the peace of mind that comes from knowing your digital assets work hard for you.

Just like with the robo advisor strategy we described earlier, a crypto robo-advisor takes an algorithm-driven approach to assess a user’s preferences, risks, and goals, and creates a crypto investment portfolio in accordance with that information.

Automated crypto advisors will also provide services such as portfolio rebalancing and tax-strategy products, depending on where you live, as well as having recommendations on which digital assets you might want to buy, hold, or sell.

The crypto market can be especially daunting for newcomers, so choosing a crypto advisor that will manage your portfolio automatically and that lets you track your investments without the time and effort that it takes to do it all by yourself, can be a great advantage.

## How Do Crypto Robo-Advisors Work

Based on advanced algorithms and automation, robo advisors are an investment platform that is both convenient and affordable. Here’s how a typical automated advisor works:

### Create an account and deposit money

The first step in setting up a crypto robo portfolio is opening an account and depositing a cryptocurrency. The minimum amount required to open investment accounts will vary depending on the platform you’ve chosen.

### Assess your investor profile

Once you’ve opened your account, you’ll likely be asked to complete a questionnaire so that the crypto robo-advisor is able to establish your investing profile based on parameters such as financial objectives, timeframe and risk preferences.

### Your robo-advisor creates a crypto portfolio

Based on your preferences, your robo-advisor will allocate you to a suitable basket of investments, made up of different digital assets.

### Enjoy your portfolio being automatically managed

Once your portfolio is set, the robo-advisor takes care of the rest, periodically rebalancing and optimizing your investments using different algorithms.

### Withdraw money whenever you choose

This may depend on the robo-advisor you’ve chosen, but most platforms will let you access and withdraw funds at any time. This flexibility is certainly a major plus when compared to other platforms in traditional finance.

## 5 Best Crypto Robo-Advisors In 2022

 

### [Betterment](https://www.betterment.com/)

Betterment Crypto Robo-advisor.png

Betterment is one of the largest robo-advisors in the world, managing $26.8 billion in assets for 615,000 individual clients.

The digital wealth management platform has recently announced that it would be offering a robo-advisor targeted at crypto offerings.

Crypto Investing by Betterment offers four themed, customizable portfolios that let users invest in a curated selection of digital assets:

- Universe: Features a diversified collection of cryptocurrencies, including established coins like Bitcoin and Ethereum, offering broad exposure across the crypto landscape, including decentralized finance.
- Sustainable: Focuses on cryptocurrencies that transact sustainably or on networks with a path to sustainability, like the newly transitioned Proof of Stake Ethereum.
- Metaverse: Dedicated cryptocurrency projects currently building a network of immersive digital experiences and new approaches to digital commerce, including real estate, gaming, entertainment, and more.
- Decentralized Finance: Provides exposure to assets leveraging blockchain technology to offer financial services without the need for banks or other centralized institutions.

The platform is one of the easiest ways to get into crypto using robust portfolios designed by expert investors. Beyond crypto portfolio management, can also access in-depth information, including an educational resource center, a bi-weekly crypto newsletter, and regular commentary from our Betterment experts.

However, interested users should note that there is a 1% annual advisory fee plus trading expenses, so this might not be the most cost-effective investment method.

### [Shrimpy Advisory](https://advisory.shrimpy.io/) 


Shrimpy Advisory.png

Shrimpy Advisory is a brand new cryptocurrency robo advisor that helps investors obtain exposure to different crypto sectors through uniquely themed asset baskets. As an SEC-registered robo advisor, Shrimpy Advisory says its mission is to facilitate digital asset investing for beginners with limited experience in the crypto market.

Shrimpy Advisory offers various crypto baskets with preset allocations of assets, ranging from blue chip coins like Bitcoin and Ethereum to some of the newer and more unique projects in sectors such as DeFi, Layer 1, Metaverse, and more.

All you have to do is set up an account, assess your risk tolerance and investment timeline with a short quiz, and deposit funds to your account - Shrimpy Advisory does all the rest for you. The platforms says that is constantly monitors the market and updates baskets and allocations according to shifts in market trends. 

If you're looking for a hassle-free advisor that doesn't require you to micromanage your investments and keep daily tabs on your portfolio, Shrimpy might be an option worth considering as they do all the buying, selling, and research so you can relax and enjoy the things that matter most to you.

### [M1 Finance](https://m1.com/invest/crypto/)


M1 Finance Crypto Robo-Advisor.png

M1 Finance is a leading personal finance platform with more than $5 billion in assets, offering its clients the possibility to invest in crypto assets via a robo-advisor.

According to the company, the goal is to remove some of the barriers to investing by automating certain aspects of investing in crypto like fund allocation, risk management, and recurring investments.

M1 offers up to 10 coins, including (BTC), Ethereum (ETH), and other large-cap liquid crypto assets. 

One of M1 Finance’s key offerings is pie-based investing strategy, which essentially allows users to create a portfolio of “Pies” in which each asset and its exposure percentage is represented as a slice on a pie graph. The crypto robo-advisor service is backed by algorithmic software that can automatically balance each portion of the pie, depending on the user’s initial investment strategy or asset allocations.

Here’s how the company [explains](https://m1.com/blog/why-crypto-on-m1/) its approach in more detail:

**Creating custom and expert-built crypto Pie**s

Users choose a crypto portfolio that fits their financial goals and risk tolerance. You can build custom crypto Pies or use Expert Pies, which are pre-built using thematic strategies such as DeFi, Web3, and large-cap crypto.

**Setting target allocation based on your strategy**

Decide what percentage allocation makes sense for your overall portfolio based on your investment thesis. Then, set target allocations for each crypto asset and change them as needed over time.

**Staying aligned with dynamic rebalancing**

Some major cryptocurrencies have seen great volatility as of late, leading your initial target allocations may shift. Dynamic rebalancing reallocates your funds with every recurring deposit and investment to realign your portfolio with your financial goals.

**Setting up an investing schedule using recurring deposit**s.

Recurring deposits make it easier to automate how much money you put into your account. If you follow long-term investing strategies like dollar-cost averaging, recurring deposits help you consistently invest in your chosen crypto assets.

**Commission-free investing**

AM1 is commission-free. You’ll be able to set and automate your investment strategies the same way you currently do with stocks and ETFs on M1, but you’ll hold crypto assets in a separate, secure custodial wallet powered by Apex Crypto. Your crypto assets will not be loaned or pledged.

Users should bear in mind that M1 is currently only available within the U.S.

### [Wealthfront](https://www.wealthfront.com/)



Wealthfront Robo Advisor.png

Wealthfront is a robo-advisor firm with over $25 billion assets under management, and one of the top-performing digital wealth management platforms in the world.

The firm offers options for crypto exposure with two investment options - the Grayscale Bitcoin Trust (GBTC) and the Grayscale Ethereum Trust (ETHE).

Those products are similar to exchange-traded funds (ETFs) and give users exposure to the price movement of Bitcoin and Ethereum, respectively.

The trusts are meant to provide “indirect exposure to cryptocurrency”, but investors opting to purchase units of the trusts won’t be able to allocate more than 10% of their portfolio.

Understanding the nature of the crypto market and the potential for high volatility, Wealthfront offers a rebalancing option in case the value of the crypto trusts suddenly rises or falls and the percentage of the digital assets deviates five percentage points from the investor’s target.

This robo-advisor offers a competitive 0.25% management fee and free management of balances under $5000.

### [CryptoSimple](https://www.cryptosimple.app/)


CryptoSimple Robo Advisor.png

CryptoSimple is a robo advisor-based crypto investing solution that aims to be simple, smart, and secure.

To ensure that the robo-advisor determines the optimal risk profile for you, you’ll be asked to answer a few questions such as your crypto expertise, a risk assessment, and your investing goals.

CryptoSimple will then help you set your investment goals and stick to the path that will help you reach them. Users may also follow tips and advice from the handy robo-advisor or follow the information that is offered by the financial advisors who monitor the markets in real-time.
CryptoSimple says that it wants to help users sit back and enjoy their investments on autopilot mode.

The platform offers three investment baskets:

- ‍Conservative: A portfolio biased toward stable coins (90%), while only 10% is invested in volatile coins. ‍
- Balanced: A portfolio of stable cryptocurrencies (65%) and volatile cryptocurrencies (35%), designed for those seeking a balance of risk and reward.
- ‍Growth: A portfolio with relatively higher than average risk in order to provide greater potential gains. 65% of the portfolio is allocated to volatile assets, while only 35% is allocated to stable ones.

CryptoSimple is regulated as a Digital Asset Service Provider (DASP) by the EU’s leading financial authority (AMF).



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Want to invest in crypto but not keen on spending time keeping up with the markets? Automating your crypto investments could be the solution. Explore the best crypto robo-advisors of 2022. 

5 Best Crypto Robo-Advisors You Need To Know In 2022

Matias Lapuschin

 
Machine Learning is a subset of artificial intelligence that puts you in charge of teaching machines how to learn. This growing field of computer science opens up a world of opportunity for qualified machine learning engineers and is set to be an in-demand profession in the years to come. 
The list of industries using machine learning to speed up decision-making and make areas of their businesses more efficient has kept growing at great speed. In addition, there are plenty of machine learning courses available for the enthusiasts planning on gaining new skills or even breaking into the industry. 

If your goal is to learn machine learning in 2022, these are the best machine learning courses to dive right in. They cover creating machine learning algorithms, the mathematical applications behind them and building machine learning applications and systems.  We will cover exciting topics including deep learning, artificial neural networks and utilizing algorithms through various programming languages.



 ## What is Machine Learning?

Machine learning is an exciting field of computer science and a practical application of artificial intelligence. Machine learning enables computers and other machinery to use both incoming and historical data to make improvements without being directly programmed. Programmers essentially teach machines to think like humans do.

Much like a human learns through the input of new information, machine learning works in the same way by feeding through data in order for the deep learning process to be initiated. Machines are programmed to look for patterns in the data in order to make improvements and decisions without human intervention. Machine learning algorithms are automatically applied to complex mathematical calculations and now that’s happening faster than ever before.

Some common examples of machine learning are:

- YouTube video recommendations
- Email spam filters
- Malware filtering
- Alexa and Siri
- Facebook sponsored ad content




## Why Learn Machine Learning?

Machine learning is set to grow its market share to over $30 billion by 2024, making it one of the fastest growing areas in the tech sphere. With the rising tide of self-driving cars, speech recognition applications and devices, web search algorithms and automated marketing, machine learning has crept into almost every inch of modern daily life.

Further to this, industries that work with masses of data, such as E Commerce giants like Amazon, recognise the importance of using machine learning to automate areas of their business by gathering insights from data in real time. This enables businesses to make decisions faster and maintain a competitive edge. As the demand for machine learning in industries such as finance, healthcare and retail continues to grow, so will the demand for machine learning engineers who can develop machine learning algorithms, applications and programmes.

## Top Criteria for Machine Learning Courses

We have selected the best machine learning courses out there by implementing a stringent list of criteria when making a selection.

1. The courses must focus entirely on machine learning, not other subsets of artificial intelligence.
2. The machine learning courses must utilize open-source programming languages like Python, R and Octave.
3. If courses use commercial programming packages, we do not include their courses in our list. They must use open-source libraries only to make the courses more accessible for aspiring machine learning engineers.
4. We only include courses that include practical exercises to help students get practical experience that reinforces learning.
5. Courses must clearly explain the mathematics behind the algorithms
6. Courses should be self-paced to allow students to work at their own pace in their own time, making it more accessible for busy professionals.
7. Instructors must be reputable, charismatic and present engaging lectures that keep students interested.
8. Have excellent ratings and reviews
9. Offer students good value for money

With such strict criteria, some courses do not make the cut. We hope this will help you select a suitable course that aligns with your goals and time constraints.

In addition to our own selection criteria, there are some skills you should have before attempting to learn machine learning. If your dream is to become a machine learning engineer, there are some skills and knowledge you should develop before you get started.

**Statistics**

Statistics is focused on data collection, analysis and interpretation. As you may have gleaned from the discussion above, data is at the heart of machine learning. There are two types of statistics: descriptive and inferential. Descriptive statistics describe the data and are presented as mean value’s, standard deviations, medians and so forth. Inferential statistics draws conclusions from a sample set of data by making estimations or testing a hypothesis. A machine learning engineer should be comfortable with statistical analysis in order to be able to infer this to machine learning models.

**Probability**

Probability refers to the likelihood of an event occurring. When data is used in decision-making, decisions are based on the probability of ‘x’ occurring if ‘y’ happens and so forth. When embarking on a machine learning course, you can expect to use rules of probability, notation and probability distribution in your machine learning models.
 
**Linear Algebra**

One of the most important machine learning skills to learn before embarking on this learning path is linear algebra. You must possess an understanding of coding algorithms, linear transformations and Tensor in order to build the complex neural networks required to teach machines to think like people and engage in deep learning.
 
**Calculus**

You cannot build a machine learning model without understanding calculus. You must understand integration, differentiation, partial derivatives and chain rule in order to build neural networks.
 
**Programming Languages**

Once you have created your machine learning algorithms, they are applied using coding. Therefore knowledge of programming languages is imperative to a successful career as a machine learning engineer. Programming is one of the fundamental machine learning concepts. You will need to have a decent understanding of Python programming. Skills in R, Octave and C++ will also be of great value to your progress.
 
**Data Visualization**

Data visualization is one of the essential machine learning skills to learn before starting a machine learning course. Data visualization aids you in identifying patterns, outliers and corrupt data.
 



## Top Machine Learning Online Courses In 2022

 

### [1. Machine Learning Certification by Stanford University (Coursera)](https://www.google.com/url?q=https://www.coursera.org/learn/machine-learning&sa=D&source=docs&ust=1653476430471107&usg=AOvVaw3BK0uvbxrBlbQH24q8TD4S)

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A pioneer in the field and one of the original machine learning courses, the aptly named Machine Learning course by Stanford University is one of the best machine learning courses around to equip you for a successful career in machine learning engineering. The course is presented by Andrew Ng on the Coursera online learning platform. It broke records with over 100k enrollments in its first two months being launched, making it undoubtedly one of the most popular machine learning courses to date. The course material and assignments are free to access, however the certificate of completion requires a fee.
 
You will start off by learning the mathematical principles that are core to machine learning, covering concepts in linear algebra and linear regression. Once the foundation has been laid the course jumps to various machine learning techniques and models including deep learning, building artificial neural networks and component analysis.
 
The course ends off with a practical component, covering how to build large-scale machine learning apps, systems and programs in the real-world. You will end the course with a solid understanding of machine learning models and techniques with the ability to successfully implement machine learning algorithms using Octave and Matlab.
 
Despite its practical component, the course is heavily based on teaching machine learning concepts to lay a solid foundation so if you want a very hands-on course, some of the others in our list may be more suitable for you. 

The course material is broken down into manageable modules that run over an 11 week period, presented as video lectures and text. You will need to set aside around 6 hours a week to complete the course in the time frame, making it a top choice for busy professionals looking to expand their skills.

### [2. Deep Learning Certification by deeplearning.ai (Coursera)](https://www.coursera.org/specializations/deep-learning)

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The Deep Learning Certification was created by Stanford University professors who are experts in the field. One of the three co-creators is Andrew Ng, a computer science professor and AI team leader at Baidu, also behind the wildly popular Stanford University Machine Learning course. Since its launch, this course has been completed by over 225k students. If you want to dive into all there is to know about deep learning, this course covers all the key topics including neural networks, hyperparameter tuning and convolutional neural networks.
 
The course is split into 5 modules with case studies being used to create real-world context in healthcare settings, self-driving cars, creating music and natural language processing. The course also includes practical assignments to practice machine learning techniques, as well as invaluable advice from professional machine learning engineers. 

To successfully complete this course you will need to be able to set aside around 11 hours a week to study. Most students take approximately 3 months to complete the course.

### [3. Machine Learning Nanodegree Program (Udacity)](https://www.udacity.com/course/aws-machine-learning-engineer-nanodegree--nd189)



Machine Learning Nanodegree Program (Udacity)

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If you are looking for a comprehensive machine learning course but don’t have the time to commit to a 4 year degree, consider enrolling in the Machine Learning Nanodegree. This program condenses course material into a 3 to 12 month period, allowing you to accelerate your career faster.
 
Udacity offers two different learning paths, one being the Intro to Machine Learning course and the other being the Machine Learning Engineer Course. The Intro to Machine Learning Course is best suited to beginners wanting to learn the fundamentals of machine learning, covering key concepts such as supervised learning models, data cleaning, unsupervised learning, machine learning algorithms and designing deep learning neural networks. You will, however, still need to have an understanding of programming languages like Python, statistics and probabilities. 

The course does include a practical component to test your new skills.
 
The Machine Learning Engineer course is for more advanced students with intermediate Python skills and existing knowledge of machine learning algorithms in order to learn advanced machine learning techniques for real world applications.
 
Some course highlights include highly engaging content, quizzes, exclusive insight into industry best practices, one-to-one mentoring from experienced machine learning engineers and even career coaching to help you launch your career with your best foot forward.

### [4. Machine Learning A-Z™: Hands-On Python & R in Data Science (Udemy)](https://www.udemy.com/course/machinelearning/)




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For a practical introduction to machine learning, the Machine Learning A-Z course on Udemy is a great, affordable option. You will learn how to go about creating machine learning algorithms step-by-step, comprehensively covering important topics and teaching machine learning in Python and R. Created by two data scientists, the course content is suitable for both beginners and advanced students. With over 800k enrollments, this course is one of the most popular courses on Udemy to date.
 
As far as data science courses go, this offers great value for money. The course is presented over 285 videos, tallying up to almost 41 hours of video lectures. In addition to the videos, there are also 31 articles and 5 downloads to help you along your online learning journey. Learn all about data analysis and predictions - key to creating meaningful machine learning projects.
 
The hands-on approach of the course makes it the best machine learning course for those antsy to get going rather than spend a lot of time going over theory. Better still, there are no prerequisites for this course other than a basic grasp of high school mathematics. By the end of the course you will be able to build powerful machine learning models that solve real-world problems and select appropriate machine learning models for various challenges. 

The course also includes practical exercises, downloadable Python and R coding templates, an in-depth Q&A section and thorough explanations of complex machine learning concepts including deep learning, natural language processing and reinforcement learning.

### [5. Professional Certificate in Deep Learning by IBM (edX)](https://www.google.com/url?q=https://www.edx.org/professional-certificate/deep-learning&sa=D&source=docs&ust=1653476430472678&usg=AOvVaw3PTQt5DELI1ZkXQp1-OVVp)


Professional Certificate in Deep Learning by IBM 

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There are a number of deep learning courses out there but this course stands out having been designed by experts and presented on a reputable learning platform like edX. Expect to cover important topics like unsupervised learning, neural networks and various other machine learning concepts. You will learn how to build machine learning models and machine learning algorithms by using machine learning tools like Tensorflow, PyTorch and Keras.
 
To flex your new skills, the course ends off with a machine learning project where you will need to create, train and test a deep learning model to solve problems. By the end of this course you have mastered important deep learning concepts like convolutional networks and recurrent networks to be able to apply these concepts to real-world problems. You will be able to use natural language processing, recommender systems, object recognition and text analytics to build deep learning models.
 
The course is divided into 5 modules that each require 4 hours per week of time, so expect to spend up to 6 weeks on each module as they’re very in-depth and intensive.

### [6. Machine Learning Specialization by University of Washington (Coursera)](https://www.coursera.org/specializations/machine-learning)


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If you’re looking for online courses designed by experts, this is a great place to start. The course has been developed by two leading researchers and machine learning professors. The course will teach machine learning concepts including prediction and information retrieval through the use of case studies. The practical approach of the course will equip you to select appropriate machine learning models and algorithms to solve complex problems.
 
By the end of the course you can expect to be able to learn key machine learning algorithms, work with large datasets to create AI applications that improve and learn over time with the ability to make predictions using data.
 
There are 4 modules to complete, each requiring around 6 hours per week. The course can be completed in your own time to fit into your busy schedule.
 
### [7. Mathematics for Machine Learning Specialization by Imperial College London (Coursera)](https://www.google.com/url?q=https://www.coursera.org/specializations/mathematics-machine-learning&sa=D&source=docs&ust=1653476430473296&usg=AOvVaw1p1Tz6Iy3mFeeUOb2CPD3t)


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If you do not understand mathematics, you are not going to be successful in the field of machine learning. This is one of few online courses that covers the mathematical foundations of machine learning. Even with a high school or university level understanding of mathematics, it can be hard to apply these to data science in the context of machine learning algorithms and models. These learning courses bridge the gap between mathematical concepts and their application in computer science and machine learning. Each of the learning courses included span up to 6 weeks, so you will take a minimum of 18 weeks to complete this course in total. You will need to be able to set aside 12 hours of study time per week to get the most out of the course.
 
The first course covers linear algebra and how it links to data science for building machine learning models. You will learn how to write code blocks in Python, with an exercise on Google’s page ranking algorithm to cap it off.
 
The second course covers multivariate calculus for data fitting. The final course is Dimensionality Reduction to teach you how to compress data. You will need mid-level skills in Python programming.
 
The course lays a great foundation for further studies by teaching you the mathematical concepts that are often prerequisites for advanced courses. Assignments are graded and peer reviewed for valuable insights to help you refine and improve your skills.

### [8. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)](https://www.udemy.com/course/deeplearning/)




Deep Learning A-Z Hands-On Artificial Neural Networks.jpg

This is one of the best online courses for students wanting to learn how to apply deep learning to trading stocks, image recognition and business analytics to name just a few areas of application. Developed by 2 data scientists, the Deep Learning A-Z course covers everything you’ll need to know to master deep learning and artificial neural networks applications in the real world.

To properly grasp the content covered in this course, you will need to have completed higher grade mathematics and have basic Python programming knowledge. The course covers the 2 branches of deep learning, namely supervised learning and unsupervised learning. You will complete coding assignments and 6 machine learning projects to apply what you have learned to real world problems by creating machine learning algorithms that solve said problems.
 
Some bonus features of this course are excellent support, with replies from tutors received in under 48 hours. The course is packaged into over 20 hours of on-demand video lectures for flexible and interactive learning. Unlike other similar learning courses, the A-Z course has you work on 6 real world case studies so you will be able to develop algorithms for problems related to stock price recognition, image recognition, suggestions systems (like Netflix suggested content) and fraud detection. This sets you up to be able to solve problems for a variety of industries right from the start.

 
###  [9. Machine Learning with Python by IBM (Coursera)](https://www.coursera.org/learn/machine-learning-with-python)


  Machine Learning with Python by IBM Coursera.jpg

Developed by professionals at IBM and presented on Coursera, the Machine Learning with Python certification will highlight the many ways machine learning is used in a variety of industries. The course is broken down into two areas. The first area looks at machine learning concepts and their applications in the real world. The second area dives into machine learning models, machine learning techniques and machine learning tools. You will learn about machine learning algorithms, supervised learning and unsupervised learning with a project at the end of the course submitted for assessment to demonstrate your understanding of the course content.
 
You will work on building machine learning systems for real world applications like cancer detection, recommendation systems, economic trend projections, customer behavior predictions and many other exciting areas. The course will take on average 5 to 6 weeks to complete with around 6 hours per week needed to successfully complete the course. 

When you have completed the course you can choose to continue your studies by completing the IBM Artificial Intelligence Professional Certificate and IBM Data Science Professional Certificate.

### [10. Machine Learning Crash Course — Google AI](https://developers.google.com/machine-learning/crash-course)

Machine Learning Crash Course Google AI.jpg

The Google AI Education platform offers free learning courses for students aspiring to pursue careers in artificial intelligence and machine learning. The interactive learning platform presents courses in video and article formats for an immersive learning experience. The crash course lives up to its name… you will learn how to solve common machine learning problems quickly using Python and Tensorflow to build machine learning models.
 
Some learning courses you can expect to cover include linear regression, classification, training sets, neural networks and machine learning engineering. If you’ve been playing around with machine learning for a while but want to learn more and develop your skills, this is one of the best online courses to do that. One thing to be aware of is that you do not receive a certificate at the end of the course, so if this is something important to you for your resume, perhaps one of the other courses listed would be better suited for you.

### [11. Introduction to Machine Learning for Coders — Fast.ai](https://course18.fast.ai/ml.html)



Introduction to Machine Learning for Coders Fast.ai

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Are you a machine learning novice? This is one of the best online courses for beginners and will empower you with both a theoretical and practical understanding of machine learning models, techniques and tools. By the end of this course you will be equipped with the skills and knowledge to build machine learning models for business applications such as automations, fraud detection and more.
 
Despite being aimed at beginners, you will need basic coding knowledge and high school level mathematics to enroll in this course. With over 24 hours of lectures packed into this exciting online course, you can expect to set aside 8 hours a week for a period of 12 weeks in order to complete this course.

### [12. The Complete Machine Learning Course with Python](https://www.udemy.com/course/machine-learning-course-with-python/)


The Complete Machine Learning Course with Python

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If you’ve been searching through online courses that will help you get the basics right, then this course, available on Udemy, is a great option for you. It will lay the foundations for you to develop the core skills and knowledge required to succeed in this exciting field and embark on a career path as a machine learning engineer.
 
The course will break down the differences between classical programming, machine learning and deep learning. You will also touch on complex topics like neural networks, validation, testing and regularization. This course will also teach you which machine learning tools to use to develop machine learning algorithms for the real world.
 
The course consists of over 17 hours of on-demand videos, articles, downloadable resources and a certificate of completion. You are able to pace yourself and fit learning into your own schedule.

### [13. Intro to Machine Learning with PyTorch](https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229)


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As far as learning courses are concerned, nanodegrees are growing in popularity particularly in the tech sphere. This online machine learning course will teach you all about machine learning algorithms, supervised learning, data cleaning, unsupervised learning and deep learning.
 
Each learning area ends off with a practical assignment to help you reinforce your newfound knowledge and put your skills to the test. The course will teach machine learning models, designing neural networks, unsupervised learning techniques and much more. The projects are based on real life scenarios, equipping you to step into roles with top level businesses upon completion.
 
The course takes on average 3 months to complete when dedicating 10 hours a week to your studies. You have access to tutors and mentors for support throughout your learning journey.

### [14. Machine Learning for Musicians and Artists (Goldsmith)](https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info)
 


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This unconventional but groundbreaking course aims to show prospective machine learning engineers that machine learning can be applied to just about any industry. You will learn how to apply machine learning to the arts by using it to analyze human movement and music as its data source.

## Bottom Line
 
While the course certainly covers the fundamentals of machine learning, it does so with artistic flair. The course consists of 7 modules, each taking around 8 hours to complete. If you offer to audit the course you can access the material for free but not the exercises. For access to exercises and course content you will need to pay for a subscription. Assignments are peer-reviewed giving you the opportunity to gain meaningful critique of your work to improve your skills.
 


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Machine learning is an evolving branch of artificial intelligence and computer science. Are you considering exploring this field? Check out the best machine learning courses to try out now.

14 Best Machine Learning Courses

The exponential growth of the NFT space is making even the most skeptical investors take an interest in this market. Aligned with this rising enthusiasm, demand for the best NFT tools seems equally affected as investors try to identify the next best non-fungible asset out there. 

Rarity reigns supreme when it comes to getting the most for your money in any collectible market. It is essential that you track trending NFTs if you want to turn a profit. Sniping NFTs is the act of [buying NFTs](https://sensoriumxr.com/articles/non-fungible-tokens-nfts-quick-guide) that are priced below their value due to the seller's unawareness of their rarity. Fortunately, there are rarity tools, often referred to as rarity sniper tools, to help you with that.

This article introduces you to the concept of NFT rarity and reviews some of the top NFT tools currently available. Let's get to it.

 

## What Is NFT Rarity?
Several new NFTs have hit the market, but how do they differ in trait value? What makes some NFTs sell for millions while others sell for less? It has to do with rarity. NFT rarity determines how rare and valuable an NFT is. Collectors highly prize truly rare NFTs, which makes them more expensive. Consequently, people want to know whether the NFT they own is rare or whether the one they plan to purchase is rare.

## NFT Rarity Calculation Methods
It is possible to calculate the rarity of an NFT using several methods. By calculating the rarity of an NFT trait based on its rarest trait, taking the average rarity of traits, or examining rarity statistics.

### Trait NFT Rarity Ranking
To compare NFTs, one can simply compare the rarest attribute of each non-fungible token. Yet, this approach has one significant flaw despite its simplicity and straightforwardness: it ignores the NFT's overall rarity, just focusing on the rarest one.

### Average Trait Rarity
Another method that will help you check NFT rarity is to average the rarity of traits present on the NFT. If an NFT had two traits, one with a 50% rarity and one with a 10% rarity, then its average trait rarity would be (50+10)/2 = 30%. The problem with this method is that it stresses the overall rarity of every trait, which means the single super NFT rare trait does not receive enough trait value, and the overall rarity value is diluted.

 

### Statistical Rarity
In this method, you multiply all of an NFT's traits together to determine the NFT's overall rarity. If an NFT has two traits, one trait has a weight of 10%, and the other has a weight of 50%. That NFT would have a 5% 'statistical rarity' (10% * 50%).

These three approaches have different results when comparing the rarity of some NFTs. Average Rarity and Statistical Rarity tend to overvalue many of the traits in an NFT, potentially diluting the value of an ultra-rare, one-of-a-kind trait. Trait Rarity faces the complete opposite problem by narrowing the calculation to the single rarest trait. A solution? Rarity Score.

 

## How to Calculate NFT Rarity

The value and rarity of NFTs differ even if you have thousands of them in a single collection. Therefore, a decrease in supply leads to a rise in demand, which drives NFT prices up. However, supply value is not the only factor contributing to NFT rarity.

To get an NFT rarity calculated, you can opt for various methods, as we already mentioned. Different parameters, such as rarity based on the rarest trait, will be considered by assessing all NFT traits statistically or by calculating the average rarity. A Rarity Score is therefore used to calculate the rarity of an NFT. Calculating the Rarity Score does not need to be done manually since various rarity tools can do it for you. With the right NFT rarity tool, you can view the results in just a few clicks.

Rarity Score stresses single rare traits while including overall trait rarities in its calculation. To date, this is by far the best way to calculate rarity.

Here's the formula:

> [Rarity Score for a Trait Value] = 1 / ([Number of Items with that Trait Value] / [Total Number of Items in Collection])

 

## Best NFT Rarity Tools

Although the formula is pretty straightforward, there's no point in doing all that math on your own to estimate the rarity of all of your desired NFTs. There are several investment tools available to assist you.

[Investments in NFTs](https://sensoriumxr.com/articles/how-to-invest-in-NFTs) come with many risks. Using a reliable NFT investment tool can help you check NFT rarity and stay on top of the changes effortlessly. Needless to say, these tools shouldn't be used as the only criterion for buying NFTs. Make sure you research the NFT market and project in question well before making a purchase.

### [Rarity.tools](https://rarity.tools/)

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One of the most popular tools to determine the rarity of an NFT is the Rarity.tools. NFTs are ranked by the rarity of their characteristics in real-time. By filtering by average price, total sales volume, owner count, or top collections, you can find NFTs that meet the criteria you are looking for. Aside from that, the website has a simple and attractive interface that makes finding trait rarities easy.

You can sort all the NFTs on Rarity.tools based on their collections, average price, and even ETH volume. On the NFT collection page, you can find the overall trait rarities of that particular collection. In this section, you will see a card for each NFT that details all its attributes and its Rarity Score. You can also check the Rarity Score of an NFT you own by entering its ID in the NFT project section. After clicking "Lookup", you will see all the properties and Rarity Scores of your NFT.

### [OpenSea](https://opensea.io/)

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OpenSea is the world's largest and most popular [NFT marketplace](https://sensoriumxr.com/articles/best-nft-marketplaces-in-2021). NFT sales are facilitated, as well as NFT rarity rankings based on volume, floor prices, and other factors. Browse the most popular collections over any period of time. You can use this to determine what collections are trending to make an informed decision. 

NFTs can be viewed by characters' traits as well as their rarity, but their overall rarity rank or rarity score isn't available. It is clearly a downside, but having an NFT marketplace and real-time ranking facilitates the decision-making process. Using OpenSea as an NFT rarity tool is a great way to track and analyze your digital art investments.

### [Etherscan Token Tracker](https://etherscan.io/tokens)

Best NFT Rarity Tools | Etherscan Token Tracker

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According to developers, Etherscan is not only a block browser but is also a token tracker for all Ethereum-based coins as well as an entry point for ERC-721 token contracts. On Ethereum, NFTs are created using the ERC-721 standard, and the Etherscan reports a total of 21,669 tokens that are ERC-721 compliant as of today. 

Recently, more functionality was added to the NFT tools set, including information about NFT minting, distribution, transfers, and prices. Many of the applications in this article use the Etherscan APIs and further analyze the data to deliver more valuable insights to the user.

### [Nansen](https://www.nansen.ai/)


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NFT tools have long sought to identify possibilities in the market, and Nansen.ai was one of the first to provide this capability in 2013. The NFT wallet analysis tool allows users to see a scoreboard of the most profitable NFT wallets based on how much money has been made. Research can lead to better asset management and future planning.

The application also serves as a Wallet and Investment Tracker. Nansen provides detailed information on ERC-20 tokens, including minting fees and secondary NFT shop fees. It also provides real-time analysis of each project's owner, making it simple to identify and examine them.

### [Icy.tools](https://icy.tools/)


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The first thing you will see when you open Icy.tools is the Trending Collection, which features some NFTs that have been trending recently. With your wallet connected, you can even filter the ranking for the last 30 minutes. You can also find all of the information regarding NFTs on the leaderboard, such as the floor price, sales volume, and average price.

One of the best things about this program is its user-friendly interface, making NFT analysis accessible to beginners. Additionally, you can find some of the wallet addresses of the top buyers and sellers on the Discover Tab. When you subscribe to Icy Premium, you will receive detailed information on each collection. The NFT history and price chart will be included as well.

### [DappRadar](https://dappradar.com/)


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For quite a while, DappRadar has been considered a trusted source for monitoring the performance of NFT collections. Additionally, they developed an NFT portfolio tracker in 2020 that offered users a simple way of keeping track of Ethereum wallets in real-time. By entering the Ethereum wallet address or the ENS address, users can receive detailed information about their Ethereum tokens and NFT account balance.

This is a great option if you want NFT rarity tools that will help you track your portfolio individually. DappRadar also includes the most trending NFTs based on a variety of timeframes. Detailed sales, traders, and volume of any NFT collection are available.

### [Rarity Sniffer](https://raritysniffer.com/)


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As its name implies, Rarity Sniffer provides the most up-to-date NFT rankings of new NFT projects based on how rare they are. Only the most recent collections are available in their free version, along with NFT drops and sniffed upcoming NFT projects.

A Discord channel is also available and provides additional analyses of potentially rare NFTs. It gives operators access to the NFT rare status of new assets that have been sniffed before being made public. 

### [NFTBank](https://nftbank.ai/)


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With a vital instrument like NFTBank, you can obtain rapid insights into investments, which would be a big hit with NFT investors. In the data presented, among other things, you will find ROI, activity, and spending. The NFT Bank is an excellent portfolio management tool for users who want to manage NFT ownership.

Some of the distinctive features of this NFT tool are speed (as it is much faster than others), simple user interface, signals, and NFT portfolio tracker and analytics. The "Analysis and Signals" is a helpful tool to help users find new opportunities for NFT investment. It provides indicators to help them understand the market and follow other users' portfolios.

### [CryptoSlam](https://cryptoslam.io/)


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This platform is yet another excellent NFT tool for market research and analysis of non-fungible tokens. Each NFT series has a dedicated page outlining the latest sale and minting activity. 

The CryptoSlam ranking NFT tool has all the parameters one would want in an NFT tool, such as NFT sales, floor price, transaction volume, number of owners, and more. The platform also features a dedicated section for NFT Rarity purposes, giving users a complete overview of each non-fungible token. 

### [NFT Stats](https://www.nft-stats.com/)


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NFT Stats is a simple-to-use, analytical NFT tool available online. It delivers basic overviews of NFT collections. The NFT ranking covers trending collections with rarity rankings and sale volumes.

Using this particular NFT platform, you can check out the top NFT collections sold over the last 24 hours, seven days, and 30 days. 

### [Moby](https://moby.gg/)


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While Moby may not be very popular, it is an excellent NFT tracking tool. You can get real-time NFT statistics and feeds with this platform. Moby can be a handy app for NFT investors, assisting them with asset monitoring. By limiting the time window to 10 minutes, 60 minutes, 24 hours, and others, investors can start acting on their investments faster.

Moby has a Pro version that gives you access to all the data charts and popular NFT analysis tools. More useful data is available to subscribers, including historical collection data, real-time feeds, NFT signals, etc. 

### [Trait Sniper](https://www.traitsniper.com/)


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To find details about new NFT projects, you can use a rarity sniper tool called Trait Sniper. Detailed information is provided on ongoing and upcoming NFT projects and NFT drops. Taking under 2 minutes for each project to be revealed, the Traitsniper bot analyzes the rarity of each NFT. In addition to a free version, a paid edition includes real-time notifications on new reveals and their scores.

Trait Sniper is a bit more cluttered than the other rarity sniper tools mentioned above, and first-time users may have trouble navigating the site. After getting used to it, you can click any NFT to see its Rarity Rank, Rarity Score, OpenSea Highest Offer, and OpenSea Price. Additionally, a rarity score for each trait can be seen.

### [HowRare.is](https://howrare.is/)


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HowRare.is is the best way to find the rarity of Solana NFTs. Over 250 Solana NFT collections are listed on the website by rating the floor price, the number of items and holders, whether the NFTs are on sale, and more. Like other Rarity Tools, you can find NFTs based on their rarity within each collection. You can view the NFT's rarity rank, rarity score, and information on its attributes under each NFT. Moreover, there is a section for recent sales history.

An NFT's asset ID allows you to identify its rarity. This site also contains details on Solana's upcoming NFT collections. HowRare.is is unable to verify these items. 

### [RarityMon](https://www.raritymon.com/)


RarityMon.jpg

According to their site, RarityMon is the most accurate NFT rarity tracker available. That's an impressive claim, considering they don't seem to define "accurate" anywhere, and there's a lot to debate about the content. When you don't list CryptoPunks, CryptoMories, Cool Cats, or any other significant collections on your site, you're bordering on false advertising if you claim to be one of the "most accurate" rarity tools. They might not be the best NFT rarity tool, but it's good to know that they support Solana NFTs.

### [MomentRanks](https://momentranks.com/)


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The main reason NFT investors like MomentRanks is its incredibly slick interface. This NFT tool and site really has the potential to be a market-leading one, but sadly, data integrity appears to be an issue. Although the data isn't necessarily incorrect, it's always available, wherever it comes from. Moreover, MomentRanks seems to have its own rarity score that is slightly different from the market standard.

### [NFTSniff](https://nftsniff.com/)


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It covers most of what one would expect from an NFT tool like this, which is to say, the stuff you usually find in a rarity tracker. Fast loading times allow the site to compete with one of the best NFT rarity tools in NFT space. Although this particular NFT tool doesn't offer as many insights as some of the other options out there, we're confident that it will continue to develop new features as time goes on.

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No doubt NFTs can be very visually appealing. But are they worth the money? We reviewed the best NFT rarity tools to ease your job of finding the most valuable collection out there. Dive in.

Best NFT Rarity Tools To Find Gems: 15+ Platforms Reviewed

Best NFT Rarity Tools

The [Bored Ape Yacht Club (BAYC)](https://boredapeyachtclub.com/#/) is one of the most popular NFT collections out there. If you bought an ape in the early stages of the project, lucky you. In less than a year, the price of these NFTs skyrocketed, with many selling for over $200,000 apiece. Having an ape as a profile picture on Twitter has quickly become a sign of exclusivity and wealth.

But being a part of this community goes beyond money and power. Owning the traditional ape, a mutant ape NFT, or even a Bored Ape Kennel Club NFT comes with its benefits. BAYC members are given unparalleled access to one of the world's most exclusive social clubs.
From access to the mutant serums that allow you to create mutant apes, members-only events such as ApeFest, owning the commercial rights to some of the most exclusive NFTs out there, and more, many other NFT projects cannot compare.

If you're looking to find out more about the Bored Ape Yacht Club, you're in the right place. From who owns BAYC NFTs and their benefits to who created the project, our Bored Ape Yacht Club Guide has everything you need to know.







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## What Is Bored Ape Yacht Club (BAYC)?

You might have heard of the Bored Ape Yacht Club (BAYC) from the likes of Paris Hilton and rapper Snoop Dogg. The BAYC is a collection of 10,000 Bored Ape NFTs on the Ethereum blockchain space.

The NFT collection went live with a pre-sale on April 21, 2021. Since then, its sales have gone over $1 billion. At the time the bored apes went live, they sold out in 12 hours for 0.08 ETH each, less than $200 at the time.

Perhaps the largest NFT project out there, the BAYC grants owners of a bored ape access to a private online club, exclusive in-person events, and intellectual property rights for the image they own. Each of the 10,000 apes in BAYC has its own rare traits. From face expressions and jewelry to different furs, each NFT owner holds a special bored ape in the collection.

The Bored Ape Yacht Club is unlike other NFT projects. Rather than just offering a digital image, bored apes come with a fictional backstory that has been developed by the creators. The collection includes a Bored Ape Kennel Club, a bathroom, and more.




BAYC NFTs.jpg

## What Is a Non-Fungible Token (NFT)?

A non-fungible token (NFT) is a cryptographic asset on a blockchain with unique metadata that distinguishes it from others. NFTs are typically digital files such as photos, videos, and audio, including art. [NFTs can be created by anyone](https://sensoriumxr.com/articles/how-to-make-an-nft), requiring little coding skills to create.

The ownership of an NFT is recorded in the blockchain through a digital signature and can be transferred to others. However, unlike crypto trading, an NFT cannot be traded at equivalency. While cryptocurrencies are fungible tokens that are identical to each other, NFTs after not. Think about this - while all bitcoins at a given time are equal, each NFT might represent a different asset and have a different value.

NFT art can be divided into two main categories. You have some that are sold as one-off non-fungible tokens, likewise to how a famous painting is trading in real life. Then you have "editions" such as the bored apes. These are non-fungible tokens but are sold like collectible trading cards which can contain a large number of NFTs.

## Who Created Bored Ape Yacht Club?





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The Bored Ape Yacht Club's team was at first pseudonymous. Developed by Yuga Labs, the team consisted of a group of friends known as Gargamel, Gordon Goner, Emperor Tomato Ketchup, and No Sass.

However, in February 2022 the co-founders were doxxed. BuzzFeed News revealed the identities of Gordon Goner and Gargamel as Wylie Aronow and Greg Solano. The CEO of Yuga Labs, Nicole Muniz, went on to confirm BuzzFeed's report. Aranow and Solano uploaded images of themselves on Twitter to reveal their true identities. Then the other members of the team decided to reveal their names. No Sass and Tomato Ketchup revealed themselves on Twitter as Kerem and Zeshan.

What are the roles of the Bored Ape Yacht Club team? Kerem and Zeshan are programmers with vast knowledge in computer science. Before embarking on the NFT project, they were not however crypto experts and only dived into this world in February 2021. Aronow was a crypto day trader, while Solano is a writer and editor.

Solano and Aronow came up with the concept for the Bored Ape Yacht Club. The project centered around newbie crypto investors all becoming billionaires through a shared digital canvas available to all. The apes were chosen as the main symbol for the NFT due to the crypto phrase "aping in", meaning to take the financial risk of buying a token shortly after its launch without thorough research.


## What is Yuga Labs?

Founded in February 2021, the Delaware company Yuga Labs is known for launching the largest NFT projects out there, the Bored Ape Yacht Club, as well as acquiring CryptoPunks and Meetbits. A major player in the crypto and NFT ecosystem, let's just say the company has made lucky collectors a lot of cash with billionaire dollar projects.

Yuga Labs' success skyrocketed in the summer of 2021. In June 2021, Yuga Labs launched a spinoff collection for bored ape members called Bored Ape Kennel Club, followed by the Mutant Ape Yacht Club in August. Quickly, the NFTs from these collections increase in price on secondary markets, going viral online.

In March 2022, Yuga Labs got its first $450,000 in a funding round led by silicon valley investor Andreessen Horowitz. Yuga Labs then acquired CryptoPunks and MeetBits and announced a launch of a metaverse project called Otherside.

The CEO of Yuga Labs is Nicole Muniz, while the Yuga Labs team consists of Bored Ape Yacht Club co-founders Aronow and Solano. Kerem and Zeshan later joined as programmers. At first, the identity of the co-founders was anonymous as they went by the pseudonyms of Gordon Goner and Gagamel. In February 2022, BuzzFeed News revealed their identities.







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## What Makes BAYC so Popular? 

While NFTs have been around since 2014, 2021 marks the year non-fungible tokens made it into the mainstream. But the desirability of the bored ape NFT goes beyond the recent NFT hype. The Bored Ape Yacht Club is one of the most valuable NFT collections out there and many argue it boomed due to celebrity popularity.

What makes bored ape NFTs so expensive is the fact that these are owned by the right people. Celebrities such as Tom Brady and Kevin Hart have not only publicized their support for the NFT space and Blockchain industry but have collections of their own. The celebrity hype is what makes it expensive.

Many celebrities made their bored ape NFTs their profile photos on social media. The BAYC NFTs are also known as profile picture (PFP) NFTs which essentially give free promotion to the project. They are also a sign of exclusivity and increase the desirability of the BAYC NFT collection.

While celebrity endorsements matter, the Bored Ape Yacht Club's launch of new projects and alterations have arguably kept the hype going.

## Who Owns Bored Apes? 

In the summer of 2021, the hype surrounding bored apes NFTs reached a new level with celebrities publicizing their ownership. Let's take a look at some of the largest celebrity bored ape owners out there.

**Celebrity Bored Ape NFT Holders**


- Paris Hilton: In early 2022, Hilton announced on the Tonight Show starring Jimmy Fallon that she joined the Bored Ape Yacht Club when she purchase ape #1294 for 119 ETH, around $275,000 at the time. Her ape features red fur, sunglasses, and an s&m hat.
- Madonna: Madonna joined the Bored Ape community in March 2022 when she purchased ape #4988 for 180 ETH, around $500,000 at the time. The ape features a quirky shirt, pink fur, and blue eyes.
- Tom Brady: The football quarterback Tom Brady purchased Bored Ape #3667 for 133 ETH. It ranks as the 4,252nd rarest in the Bored Ape NFT collection.
- Justin Bieber: Justin Bieber purchased the Bored Ape #3001 in January 2022 for 500 ETH, a crying ape with brown fur and a black t-shirt. The BAYC community questioned his decision as he paid around 4x the market value for an NFT that was not considered rare.
- Jimmy Fallon: Fallon purchased ape #599 for 46.6 ETH with the crypto app Moonpay. His ape includes a navy striped tee, heart sunglasses, and a sea captain's hat.
- Post Malone: Post Malone joined the Bored Ape NFT community with two ape NFTs for around $700,000. Ape #961 features in Post Malone's music video with The Weeknd for the song "One Right Now".
- Kevin Hart: Comedian Kevin Hart purchase ape #9258 in January 2022 for 79.5 ETH, costing him $200,000 at the time. His ape features a rainbow spinner hat and angry eyes.
- Snoop Dogg: Snoop Dogg is an avid NFT collector. He owns a Bored Ape Kennell Club, as well as a full set of BAYC and MAYC. He owns many other valuable NFTs.
- Mark Cuban: Billionaire Mark Cuban owns the Bored Ape Yacht #1597. It was given to him as a gift and features a Hawaiian shirt and cheetah fur.
- Shaquille O’Neal: Shaw has dived into Mutant apes, opening MAYC #14452 with crosses on its eyes, a part of Bored Ape Yacht Club's third collection. He purchased it for 4.8 ETH, around $200,000.


## BAYC utility 

So why would one want to purchase such an expensive BAYC NFT? The reality is that the value for ape owners is unparalleled to other digital images in the NFT community. Bored ape owners are given access to one of the world's most exclusive social clubs in the NFT world, the Bored Ape Yacht Club. Being a member of the BAYC has its benefits as Yuga Labs makes sure to keep things interesting.

### The Bored Ape Kennel Club (BAKC)







The Bored Ape Kennel Club (BAKC).jpg

The Mutant Yacht Club (MAYC) was originally only a member-exclusive NFT collection but then opened up to the public, leading to a wave of new purchases of mutant ape NFTs. In August of 2021, a new free feature arrived, digital bottles of mutant serum. The mutant serum allows bored ape owners to make a mutant version of their ape by mixing it together.

### The Mutant Yacht Club (MAYC)




The Mutant Yacht Club (MAYC).jpg

The Mutant Yacht Club (MAYC) was originally only a member-exclusive NFT collection but then opened up to the public, leading to a wave of new purchases of mutant ape NFTs. In August of 2021, a new free feature arrived, digital bottles of mutant serum. The mutant serum allows bored ape owners to make a mutant version of their ape by mixing it together.

### The BAYC Bathroom


The BAYC Bathroom.jpg

As a member of the BAYC, collectors are granted access to the private bathroom. This is essentially a digital board where ape owners can paint a pixel on the bathroom wall every fifteen minutes. In an innovative art project, club members can collaborate on an art project while remaining anonymous due to high-quality security.

### Exclusive Events

The Bored Ape Yacht Club hosts a yearly festival called ApeFest for owners of bored apes and mutant apes. In 2021, the festival featured a party on a yacht and performances by Lil Baby, The Strokes, Chris Rock, and Aziz Ansari. Celebrity guests were also present such as Kygo, showcasing the celebrity promotion of the project.

### Ownership and Commercial Rights

Purchasing an NFT from the BAYC or MAYC collection means you own it. NFT holders receive full ownership AND commercial rights to their apes. This means that along with owning an expensive and exclusive digital asset, they can also further profit from its ownership. For example, NFT holders can sell merchandise of their bored apes or use them in the branding of their company.

## What is the Apeverse?

The Apeverse is a decentralized financial payment network that uses blockchain technology to simulate the traditional economic system. The Apeverse network has handled hundreds of billions in transactions. The payment network uses stablecoins that are stabilized by its reserve currency ApeVerse. Stablecoins are cryptocurrencies in which their value is tied to another currency, usually fiat currency. They provide an alternative to the arguably high volatility of cryptocurrencies.


## What is the ApeCoin ($APE token)?

What is the ApeCoin Token.jpg

ApeCoin (APE) is the governance token of the Bored Ape ecosystem economy that promotes community ownership. It is an ERC-20 token created by the Blockchain that was created to empower the ape bored community. Yuga Labs, the creator of the BAYC collection has adopted ApeCoin for all products and services.

APE has a total supply of 1 billion tokens with over 299,000,000 in circulation. The last known price of APE is $4.60.

Token holders can vote on governance proposals to make changes to the ApeCoin ecosystem via the ApeCoin DAO, the decentralized autonomous organization. Holders decide how to use the Ecosystem Fund, select projects, partnerships, and more. Token holders can also access features of the ecosystem such as services and events.

The APE Foundation then carries out community-led governance that has been decided by the holders. The foundation was created to grow the APE ecosystem in a democratic matter. The decentralized board of the APE Foundation consists of five members from the crypto community that make sure the company's goals are being carried out. APE holders vote for new board members every year.


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## Bottom Line

A 12-hour sold-out pre-sale in 2021 and over $1 billion in sales ever since is no small feat. But in the last year alone, it's clear that much of BAYC's popularity comes down to media attention and celebrity ownership.

Nevertheless, credit where credit's due, Yuga Labs makes sure to keep members interested and the ape hype ongoing. From providing full commercial rights to its owners and innovative features such as the bathroom, being a Bored Ape Yacht Club member has its benefits.
Despite criticisms of how it's grown in popularity, it is clear that the project is not disappearing anytime soon. In fact, there's much more to come.

Yuga Labs plans to open a real clubhouse in Miami and turn the project into a DAO. The company is also diving into new markets such as the gaming world. The BAYC v MAYC mobile game allows bored ape owners to fight with mutant ape owners to win prizes.

But perhaps the most highly awaited project by Yuga Labs is known as Otherwise. Set to launch on July 16, the Bored Ape Club's new metaverse project officially started testing last week. Otherwise is a metaverse game built in partnership with the British company Improbable. A virtual world connected to the BAYC ecosystem, Otherwise is rumored to break new ground in the blockchain space.



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BAYC is one of the most influential NFT collections. And sure, you've heard all about it, but our Bored Ape Yacht Club guide will give you an even closer perspective of this crypto phenomenon. 

A Guide To Bored Ape Yacht Club 

Real estate is expensive. That’s a tough reality of life that many of us have come to face. But no, we’re not talking about London, New York or Paris. Turns out that some of the world’s most valuable land isn’t even on earth - and on top of that, it isn’t even real at all. Enter the metaverse. That’s right - investors are now paying millions of dollars in return for land that exists only in 3D virtual worlds. With the race heating up, crypto enthusiasts, tech followers and prospective metaverse users are being drawn in to snap up a piece of digital properties. But what’s the buzz all about, really? Today, we are taking a look at what’s behind the metaverse land rush and how you can join in.


## What Is Metaverse Land?

Typically, a metaverse will divide its space into different areas, including plots of free land, which users can easily purchase and use for a variety of purposes (we will detail those later on). This land is not only purchasable but also programmable, and it’s bought, sold or exchanged in the form of non-fungible tokens (NFTs) in exchange for cryptocurrency and even fiat.
Spaces are valuable as users can create a number of experiences, play games, socialize, host events, and more. As they are NFTs, the ownership over the land and the digital assets in it can be easily proven. All transactions involving metaverse land are equally public record. Users can normally purchase a plot of metaverse land through the platform’s marketplace - or opt for a third party NFT platform such as OpenSea and Rarible.



Metaverse Real Estate .jpg

The surge in the popularity of the technology has meant big business. The virtual real estate industry is already pulling in big numbers for developers and sellers - and the market is only getting bigger. Metaverse property prices rose [700%](https://www.cnbc.com/2022/02/01/metaverse-real-estate-sales-top-500-million-metametric-solutions-says.html) in 2021 and the overall market reached [$500 million](https://www.cnbc.com/2022/02/01/metaverse-real-estate-sales-top-500-million-metametric-solutions-says.html). As if that wasn’t enough, looking ahead, the market is expected to double to US$1 billion in 2022.


## What Can You Use Virtual Land For?

With prices of virtual land surging to record highs, many have accused some investors of fueling a speculative NFT market. But it isn’t just the price speculation that’s driving the hype. For many other users, land in the metaverse represents an opportunity to monetize virtual assets and experiences taking place within it. From renting to managing metaverse land, some of the revenue-producing trends playing out include:

### Flipping Land

Users can choose to snap up a plot of virtual land and re-sell it for a markup.

### Building infrastructures

Rather than letting a plot of land sit idle, many users are opting to build upon it a wide range of virtual properties, for themselves or that users can also use. That includes digital casinos, clubs, concert venues, NFT galleries, stores, and much more.

### Brokering

The popularity of land NFTs has seen the emergence of dedicated real estate brokers who, much like in real life, link sellers to prospective buyers, or simply advise clients on how to best manage their metaverse properties.



Decentraland .jpg

### Advertising

Areas of the metaverse with heavy foot traffic are increasingly becoming a valuable spot for advertising purposes. Owners of that land can rent it out and let companies use it to promote their products and services.

### Events and services

The metaverse is designed to magnify the experiences we already have online, while helping create new ones. As such, land in the metaverse is being used to host events and run services. Metaverses like the Sandbox also encourage users to create and publish mini-games and educational activities that others in the community can benefit from.

A number of established companies, including PwC, Sotheby’s, JP Morgan and HSBC are now resorting the metaverse as a complement to real-life operations, allowing clients to access services and interact with staff almost as they would in the real world. In fact, a raft of financial players have started looking into additional ways of making business in the metaverse by exploring virtual real estate lending, metaverse mortgages, consumer lending and crypto transactions.


## How To Buy Virtual Land In The Metaverse

Buying and selling virtual land follows the same principles of NFT sales. Normally, this shouldn’t be much of a hassle. To begin with, most metaverse platforms can easily be accessed through a desktop platform, giving interested buyers a snapshot of available land as well as important aspects including location, total area, average prices, utility potential and transaction history.

Once you've selected a piece of land you’re interested in purchasing, you might either look at the metaverse’s own marketplace or take a look at a secondary NFT platform like [OpenSea](https://opensea.io/) and [Binance NFT](https://www.binance.com/en/nft/home). Remember that land in the metaverse is exchanged as NFT and, as such, the deed of ownership is etched on a blockchain. This helps protect owners against frauds and other misfortunes.

Before proceeding with any purchase, make sure you go through the following steps:


### 1. Open a Digital Crypto Wallet

Most metaverses will require that you have a cryptocurrency in order to make transactions. Naturally, a digital wallet will be necessary to hold your virtual money and the digital assets you own. The wallet you choose will depend on the metaverse platform you're using. For the best possible experience, we suggest you consider a digital wallet that can directly be integrated into your web browser. Some of the top digital wallets include [MetaMask](https://metamask.io/) and [Binance Chain Wallet](https://www.binance.com/en/wallet-direct). However, no matter which crypto wallet you go for, make sure it supports the currency of the virtual project you plan on investing in. Metaverse platforms will normally explain which are preferred and how to link them.

### 2. Buy Cryptocurrency

As mentioned in the previous step, you will need enough of your metaverse’s in-platform currency in order to complete transactions. You can easily buy some of the most popular currencies like $MANA, $SAND and $ETH on exchanges like [Binance](https://www.binance.com/en), [Coinbase](https://www.coinbase.com/) or [KuCoin](https://www.kucoin.com/).

### 3. Select a Metaverse

Unless you already have a virtual land project in mind, you might want to compare available options before committing. Top platforms like Decentraland and Sandbox sell virtual lands through tokens like MANA and SAND respectively. The area and amount of land will vary from metaverse to metaverse. During this step, you should be able to easily check details like price, total size and the current owner.


### 4. Confirm Your Purchase 

Once you have your digital money in your digital wallet and you’ve finally picked a plot of land, you can simply head to the metaverse’s marketplace (or a third party platform) and click buy. Once your real real estate transaction is confirmed and executed, you should be able to see your NFT in your wallet. Moreover, you’ll be recorded as the new owner of the land. As simple as that.
From here, you might decide to hold on to your property for a while, build something on top of it or re-list it and sell it again - hopefully for a profit.







## Where Can I Find Virtual Land for Sale?

In the previous we’ve mentioned some of the top metaverses that sell land. Before we get into some of the details, it’s worth keeping in mind that most platforms will have a limited amount of parcels available. This helps boost digital scarcity and fuel a healthy virtual economy (one hopes). Decentraland for example, is divided into 90,601 individual plots of virtual land of equal size, while the Sandbox is made up of 166464 plots, which the platform calls LANDS. But there are many other options available, each offering territories suitable for all types of activities, like advertising, business, services and events. You can check virtual world rankings on OpenSea from a bird's eye view of the current market. 

The Sandbox (5).jpg

Top metaverses include:

**The Sandbox** – As touched upon above, lots on the Sandbox are marked as LAND and they can be found through the Sandbox’s own platform or be purchased second-hand on some third-party NFT exchanges, such as [OpenSea](https://opensea.io/) and [Rarible](https://rarible.com/). Bear in mind these have traditionally been more expensive than LAND in official sales.

**Decentraland** - Land in this metaverse has ranked at the top of most expensive sales, with plots going for millions. A lot of the allure of Decentraland is related to the platform's high profile partnerships with brands as well as its celebrity and influencer tenants.

**CryptoVoxels** – This is a digital world that ranks amongst the smallest, originally consisting of just 3,026 parcels. Those can be bought through primary sales or via OpenSea, in exchange for both USD and ETH. Unlike other metaverses, CryptoVoxels has kept expanding and currently features 7351 parcels. The lowest price for a plot of land is currently around 1.899 ETH (approximately $5,335 USD).

**Somnium Space** – This metaverse first came into the scene in 2018 and has a heavy focus on virtual reality offerings and it’s known for its games and NFT art. As of the beginning of 2022, there were 5,000 unevenly divided land parcels in the platform. However, more land is expected to be released in the future. The currency of Somnium Space is $CUBE and plots of land can easily be found on OpenSea.


## Is Metaverse Land a good investment?

As with any other emerging technology, there are risks and rewards associated with any investment you might think of making. And sure, metaverse land (and the lack of tangible assets) might seem like a mind boggling concept to many, but the potential of virtual worlds as well as adjacent technologies like virtual and augmented reality, and artificial intelligence can hardly be disputed. Only time will tell whether the metaverse is just another speculative investment filled with overpriced digital properties, or if virtual worlds are the future of the internet.


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How to buy metaverse real estate... Seems like a hard thing to do, but it is not. Find out what's the buzz around virtual land and how to buy metaverse land the right way.

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