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Gear-up Your Telehealth Apps with Automated Testing




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Author: Hiba

As healthcare businesses move to use digital platforms to provide healthcare services to patients, their IT departments need to ensure delivering quality software solutions in a timely manner. And due to the COVID-19 pandemic crisis, the global telehealth market is growing enormously. Telehealth allows doctors and medical practitioners to provide healthcare facilities to patients through software applications. In the current situation, these healthcare apps enable patients to benefit from these services providing fast, and efficient services, ensuring safety for everyone. Thus, it becomes important for a healthcare company to invest in the right software testing services company.

Why is Software Testing required?

It is not possible to provide patient care without having healthcare apps tested regularly. Due to the sensitivity of patient data, and care, it is important to perform regular software testing that ensures telehealth products and services are available at hand. So for quality assurance purposes, software testing companies utilize automated testing solutions that save both time and cost.

According to recent researches, businesses have faced huge losses due to software breaches and bugs. And businesses have also claimed that these cost burdens could be avoided if automated software testing was implemented. With automated tests, these organizations could ensure faster testing cycles, increase their ability to detect software bugs earlier, and improve test coverage. Automated software testing solutions are extremely important to ensure that telehealth services are free from errors, and secure the critical patient data. It also allows healthcare businesses to deliver these digital products into the hospitals, clinics, and care centers as quickly as possible. Companies engaged in telehealth services can benefit from automated testing and ensure that they can achieve the following:

High-volume Software Testing Requirements:

With automated testing, QA managers ensure that health care experts can streamline their own patient testing rollouts with accurate results. AI-based solutions can also reduce the patients’ waiting time in most of the cases. With the spread of the pandemic virus, speed is of the essence and makes it important for telehealth providers to invest more in testing, ensuring their testing is accurate and that they can extract the right data required when dealing with their patients.

Streamlining their Documentation and Paperwork:

Typically, when health care practitioners take days to gather data related to their patients manually. But with the right software application, they can ensure that they can easily gather, review, and share patient data with the patients efficiently. With the help of quality automated software testing services, telehealth providers can run their apps faster. It helps them in delivering telehealth services in a much more cost-effective manner.

Data for Healthcare Providers during the COVID-19 Pandemic

With the rise of COVID-19 cases amongst patients globally, it is extremely crucial for healthcare providers to improve their daily interactions with patients, which is only possible when they place automated testing in place. These testing processes allow doctors, medical officers, and nurses to make better healthcare decisions when they communicate with their patients remotely.

When a healthcare company hires a software testing services company, it ensures that the doctors are getting a robust and up-to-date software application that allows them to communicate with their patients easily. It allows makes it easier for the medical staff to attend their patients remotely. With more quality digital products, these companies can do their best efforts to sort out the number of patients affected by COVID-19 and allow them to guide their patients in a more effective manner, by remaining self-isolated. That also provides a comfortable and safe environment for medical staff to practice social distancing while performing their jobs conveniently.

Automated Software Testing: A Blessing for Telehealth Apps

In these uncertain times, we can see people are in a panic as there is no vaccine and proper treatment for COVID-19. However, with the right guidelines, patients can still recover and keep others around them safe from this virus. Thus, it is crucial for healthcare companies to adopt automated software testing practices that allow patients to communicate with their doctors remotely.

The main focus here should be implementing testing solutions that work best in combination with both manual and automated testing in place. Automated testing allows QA teams to focus on the more crucial aspects of testing, which is necessary for quality assurance. Medical science does not have permanent treatment for the novel coronavirus yet, but with telehealth services, doctors can ensure that they guide their patients with the best solutions if they have been infected and improve their health conditions by self-isolating themselves. So we expect software testing companies to come up with more effective and efficient healthcare apps that can support in these unfortunate times where half of the world is experiencing a lock-down globally.

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U.S. banks deploy visual AI tools to monitor customers and workers




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(Reuters) — Several U.S. banks have started deploying camera software that can analyze customer preferences, monitor workers, and spot people sleeping near ATMs, even as the banks remain wary about possible backlash over increased surveillance, more than a dozen banking and technology sources told Reuters.

Previously unreported trials at City National Bank of Florida and JPMorgan Chase, as well as earlier rollouts at banks such as Wells Fargo, offer a rare view into the potential U.S. financial institutions see in facial recognition and related artificial intelligence systems.

Widespread deployment of such visual AI tools in the heavily regulated banking sector would be a significant step toward their becoming mainstream in corporate America.

Bobby Dominguez, chief information security officer at City National, said smartphones that unlock via a face scan have paved the way.

“We’re already leveraging facial recognition on mobile,” he said. “Why not leverage it in the real world?”

City National will begin facial recognition trials early next year to identify customers at teller machines and employees at branches, aiming to replace clunky and less secure authentication measures at its 31 sites, Dominguez said. Eventually, the software could spot people on government watch lists, he said.

JPMorgan said it is “conducting a small test of video analytic technology with a handful of branches in Ohio.” Wells Fargo said it works to prevent fraud but declined to discuss how.

Civil liberties issues loom large. Critics point to arrests of innocent individuals following faulty facial matches, disproportionate use of the systems to monitor lower-income and non-white communities, and the loss of privacy inherent in ubiquitous surveillance.

Portland, Oregon, as of January 1 banned businesses from using facial recognition “in places of public accommodation,” and drugstore chain Rite Aid shut down a nationwide face recognition program last year.

Dominguez and other bank executives said their deployments are sensitive to the issues.

“We’re never going to compromise our clients’ privacy,” Dominguez said. “We’re getting off to an early start on technology already used in other parts of the world and that is rapidly coming to the American banking network.”

Still, the big question among banks, said Fredrik Nilsson, vice president of the Americas at Axis Communications, a top maker of surveillance cameras, is “what will be the potential backlash from the public if we roll this out?”

Walter Connors, chief information officer at Brannen Bank, said the Florida company had discussed but not adopted the technology for its 12 locations. “Anybody walking into a branch expects to be recorded,” Connors said. “But when you’re talking about face recognition, that’s a larger conversation.”

Business intelligence

JPMorgan began assessing the potential of computer vision in 2019 by using internally developed software to analyze archived footage from Chase branches in New York and Ohio, where one of its two Innovation Labs is located, said two people — including former employee Neil Bhandar, who oversaw some of the effort at the time.

Chase aims to gather data to better schedule staff and design branches, three people said, and the bank confirmed. Bhandar said some staff even went to one of Amazon’s cashierless convenience stores to learn about its computer vision system.

Preliminary analysis by Bhandar of branch footage revealed more men would visit before or after lunch, while women tended to arrive mid-afternoon. Bhandar said he also wanted to analyze whether women avoided compact spaces in ATM lobbies because they might bump into someone, but the pandemic halted the plan.

Testing facial recognition to identify clients as they walk into a Chase bank, if they consented to it, has been another possibility considered to enhance their experience, a current employee involved in innovation projects said.

Chase would not be the first to evaluate those uses. A bank in the Northeast recently used computer vision to identify busy areas in branches with newer layouts, an executive there said, speaking on the condition the company not be named.

A Midwestern credit union last year tested facial recognition for client identification at four locations before pausing over cost concerns, a source said.

While Chase developed custom computer vision in-house using components from Google, IBM Watson, and Amazon Web Services, it also considered fully built systems from software startups AnyVision and Vintra, people including Bhandar said. AnyVision declined to comment, and Vintra did not respond to requests for comment.

Chase said it ultimately chose a different vendor, which it declined to name, out of 11 options considered, and began testing that company’s technology at a handful of Ohio locations last October. The effort aims to identify transaction times, how many people leave because of long queues, and which activities are occupying workers.

The bank added that facial, race, and gender recognition are not part of this test.

Using technology to guess customers’ demographics can be problematic, some ethics experts say, because it reinforces stereotypes. Some computer vision programs are also less accurate on people of color, and critics have warned that could lead to unjust outcomes.

Chase has weighed ethical questions. For instance, some internally called for reconsidering planned testing in Harlem, a historically Black neighborhood in New York, because it could be viewed as racially insensitive, two of the people said. The discussions emerged about the same time as a December 2019 New York Times article about racism at Chase branches in Arizona.

Analyzing race was not part of the eventually tabled plans, and the Harlem branch had been selected because it housed the other Chase Innovation Lab for evaluating new technology, the people said, and the bank confirmed.

Targeting the homeless

Security uses for computer vision have long stirred banks’ interest. Wells Fargo used software from the company 3VR over a decade ago to review footage of crimes and see if any faces matched those of known offenders, said John Honovich, who worked at 3VR and founded video surveillance research organization IPVM.

Identiv, which acquired 3VR in 2018, said banking sales were a major focus, but it declined to comment on Wells Fargo.

A security executive at a mid-sized Southern bank, speaking on condition of anonymity to discuss secret measures, said over the last 18 months the bank has rolled out video analytics software at nearly every branch to generate alerts when doors to safes, computer server rooms, and other sensitive areas are left open.

Outside, the bank monitors for loitering, such as the recurring issue of people setting up tents under the overhang for drive-through ATMs. Security staff at a control center can play an audio recording politely asking those people to leave, the executive said.

The issue of people sleeping in enclosed ATM lobbies has long been an industry concern, said Brian Karas, vice president of sales at Airship Industries, which develops video management and analytics software.

Systems that detected loitering so staff could activate a siren or strobe light helped increase ATM usage and reduce vandalism for several banks, he said. Though companies did not want to displace people seeking shelter, they felt this was necessary to make ATMs safe and accessible, Karas said.

City National’s Dominguez said the bank’s branches use computer vision to detect suspicious activity outside.

Sales records from 2010 and 2011 reviewed by Reuters show that Bank of America purchased iCVR cameras that were marketed at the time as helping organizations reduce loitering in ATM lobbies. Bank of America said it no longer uses iCVR technology.

The Charlotte, North Carolina-based bank’s interest in computer vision has not abated. Its officials met with AnyVision on multiple occasions in 2019, including at a September conference during which the startup demonstrated how it could identify the face of a Bank of America executive, according to records of the presentation seen by Reuters and a person in attendance.

The bank said, “We are always reviewing potential new technology solutions that are on the market.”


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Truth and consequences for enterprise AI as EU know who goes legal: GDPR of everything from chatbots to machine learning




One of the Brexit bonuses we’ve been enjoying since January 1st is that we have abandoned our influence within the world’s regulatory superpower.

America and China may have industrial and military dominance, but by placing a decent proportion of global economic activity under the world’s strongest regulatory regime, the EU forces the pace for everyone else. GDPR commands respect around the world.

So when the draft “Regulation On A European Approach For Artificial Intelligence” leaked earlier this week, it made quite the splash – and not just because it’s the size of a novella. It goes to town on AI just as fiercely as GDPR did on data, proposing chains of responsibility, defining “high risk AI” that gets the full force of the regs, proposing multi-million euro fines for non-compliance, and defining a whole set of harmful behaviours and limits to what AI can do with individuals and in general.

What it does not do is define AI, saying that the technology is changing so rapidly it makes sense only to regulate what it does, not what it is. So yes, chatbots are included, even though you can write a simple one in a few lines of ZX Spectrum BASIC. In general, if it’s sold as AI, it’s going to get treated like AI. That’ll make marketing think twice.

What it’ll mean for you

For businesses who implement, buy in or plan to use AI, this will sound like the worst sort of bureaucratic overreach, imposing all sorts of brakes and costs on the latest and greatest tools. Imagine having to implement GDPR all over again, only this time for something that the regulator won’t even bother to define and which the salespeople say will touch every aspect of line of business operation.

But while this may not be what business wants, it may well be what it needs – if not in the full-fat form leaked out, then essentially in its harm-reduction approach.

AI is a brash, frontier world right now, and people are getting hurt. When AI goes wrong – facial recognition, job applicant screening, crime profiling – the consequences can be swift to hit and very hard to put right. And AI that works may be even worse.

A regulated market puts responsibilities on your suppliers that will limit your own liabilities: a well-regulated market can enable as much as it moderates. And if AI doesn’t go wrong, well, the regulator leaves you alone. Your toy Spectrum chatbot sold as an entertainment won’t hurt anyone: chatbots let loose on social media to learn via AI what humans do and then amplify hate speech? Doubtless there are “free speech for hatebots” groups out there: not on my continent, thanks.

It also means that countries with less-well regulated markets can’t take advantage. China has a history of aggressive AI development to monitor and control its population, and there are certainly ways to turn a buck or yuan by tightly controlling your consumers. But nobody could make a euro at it, as it wouldn’t be allowed to exist within, or offer services to, the EU. Regulations that are primarily protectionist for economic reasons are problematic, but ones that say you can’t sell cut-price poison in a medicine bottle tend to do good.

Police men and security guards with automatic weapons guns stand talking in London's Westminster (seat of UK government). Pic: Kristi Blokhin/shutterstock

Report on AI in UK public sector: Some transparency on how government uses it to govern us would be nice


These regulations aren’t in place yet, nor will they be for a while, nor are they likely to go through unamended. If your enterprise tech strategy includes public-facing AI, which of course it does, you have the chance to consider it in the context of these regulations and, if you don’t like them and you’re an EU company, set about preparing your arguments. If you’re not in an EU country, but you might want to do business, then you don’t get that option – sorry. But at least you can start the process of planning for compliance.

But wherever you are whether you develop, use, experiment with or follow AI tech, then be clear: there will be regulation, and it will look somewhat like this. The EU foresees a lot of the business of managing compliance being done by companies themselves formed into industry groups, which will inevitably get power and heft of their own.

You may already be in one of the industry organisations for AI ethics or assessment; if not, then consider them the seeds from which influence will grow.

Above all, don’t worry. A lot of early AI innovation with the sort of mix of success and failure you’d expect in a healthy developing market has been in medicine, which along with aviation is one of the most heavily regulated areas in business.

And aviation? You can now buy a red button for your Cessna that will aviate, navigate and communicate for you if the pilot becomes incapacitated – selecting a nearby airfield and landing without any further input. That product may have come out sooner and cheaper if it didn’t have to meet aviation regs, but would you like to push it?

There will be regulation. There will be costs. There will be things you can’t do then that you can now. But there will be things you can do that you couldn’t do otherwise, and while the level playing field of the regulators’ dreams is never quite as smooth for the small company as the big, there’ll be much less snake oil to slip on.

It may be an artificial approach to running a market, but it is intelligent. ®

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Volvo to supply cars for Didi’s global autonomous driving fleets




As the autonomous driving race in China heats up, Didi is rushing to expand its car fleets by picking Swedish automaker Volvo, an old partner of Uber, as its ally.

Didi said on Monday it will be using the XC90 SUVs of Volvo, which has been owned by Chinese auto company Geely since 2010, for its global network of robotaxis in the long term. Didi created a subsidiary dedicated to autonomous driving last year and the unit has since raised about $800 million from investors including SoftBank Vision Fund and IDG Capital. The subsidiary now has over 500 employees.

Didi started out as a ride-share app in 2012 and gobbled up Uber China in 2016. It now offers a range of mobility services including taxi hailing, ride-hailing, carpooling, shared bikes and scooters, as well as financial services for drivers. The company is seeking a valuation north of $100 billion in an initial public offering, Reuters reported last month.

Didi’s autonomous driving arm has been testing robotaxis for the past two years in China and the United States, but Volvo’s XC90 model will be the first to adopt Didi’s freshly minted self-driving hardware system called Gemini, which contains sensors like short, mid and long-range lidars, radars, cameras, a thermal imager; a fallback system; and remote assistance through 5G networks.

Didi said that its Gemini platform, coupled with Volvo’s backup functions including steering, braking and electric power, will eventually allow its robotaxis to remove safety drivers. If any of the primary systems fail during a ride, Volvo’s backup systems can act to bring the vehicle to a safe stop.

Didi is competing against a clutch of well-funded robotaxi startups in China, such as and WeRide, which are busy testing in major Chinese cities and California while splurging on R&D expenses to reach Level 4 driving. AutoX, another Chinese robotaxi company, announced last week that it will be using Honda’s Accord and Inspire sedans for its test drives in China. The edge of Didi, some suggest, is the mountains of driving data accumulated from its ride-hailing business spanning Asia, Latin America, Africa and Russia.

Rising electric automakers like Nio and Xpeng have also joined in the race to automate vehicles, making bold claims that they, too, will be able to remove safety drivers soon. Meanwhile, traditional car manufacturers don’t want to fall behind. BAIC, a state-owned enterprise, for instance, is adding Huawei’s advanced automation system and smart cockpit to its new electric passenger cars.

Updated headline on April 19 for clarity.

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Artificial Intelligence

Crypto Index comparison — Which index has the highest return?

The crypto market has long since ceased to consist only of Bitcoin and Ethereum.




The crypto market has long since ceased to consist only of Bitcoin and Ethereum. In the meantime, there are thousands of cryptocurrencies in different areas that cover various use cases and are currently enjoying high demand. Besides, new projects are launched almost daily, trying to solve today’s problems with an innovative approach.

For an investor who is not only focused on Bitcoin and Ethereum, it is becoming increasingly difficult to follow the development of the individual cryptocurrencies or the overall market and build a balanced crypto portfolio.

The daily amount of information is immense and makes it almost impossible to keep track of all updates and news. This can lead to losses or opportunity costs that need to be avoided.

Crypto ETFs are supposed to be a possible solution to this problem. However, crypto ETFs are still in their nascent phase and currently mostly only cover bitcoin. Accordingly, investors who are interested in several cryptocurrencies have to look for other solutions.

An alternative to a crypto ETF is a crypto index. A Crypto Index can contain several cryptocurrencies and is brought together under a single Crypto Fund. This way, the Crypto Index represents all cryptocurrencies behind it in the asset basket.

This saves investors a lot of time, and they no longer have to worry about the performance of individual cryptocurrencies. It is enough to invest in the index cryptocurrency to participate in developing the various cryptocurrencies or the overall market. Diversification, which was only possible in the traditional financial world, is now also coming to the crypto market.

This article will show you which advantages a crypto index can bring with it, which returns have been achieved with it to date and which crypto index is best suited for you.

It has never been so easy to participate in the performance of the different cryptocurrencies or the overall market without having to deal with individual cryptocurrencies 24/7.

A Crypto Index is comparable to an ETF from the traditional financial market such as the DAX or the S&P500. Although there are major differences to a Crypto Index, it is also a financial product that covers several assets simultaneously.

Investors can diversify better with a Crypto Index and at the same time participate in the price performance of the individual cryptocurrencies or the overall market.

A crypto index is usually set up according to various criteria that are determined in advance. These criteria are used to decide on the respective cryptocurrencies and their weighting in the Crypto Index.

When setting up the Crypto Index, the issuers pursue different approaches and thus provide various Crypto Indices.

As already mentioned above, a Crypto Index is compiled according to various criteria. Often, Crypto Indices are constructed according to market capitalization and price development. Besides, certain cryptocurrencies such as stablecoins are excluded.

This is especially true for a crypto index that focuses on the largest cryptocurrencies. Here, for example, cryptocurrencies are included in the top 20 in terms of market capitalization. As soon as a cryptocurrency slips out of the top20, it is replaced with another one.

The situation is similar to a crypto index based on the price performance of individual cryptocurrencies. Moreover, not all cryptocurrencies are listed here, but only those above a certain market capitalization and trading volume.

Other crypto indices, for example, only represent a certain area of application with the largest cryptocurrencies. The most common areas of application include Oracles, NFTs, or DeFi Bluechips.

Accordingly, there are no limits to the structure of the various crypto indices. Therefore, investors enjoy a wide choice and decide on a Crypto Index that meets their own requirements.

There is no right or wrong with a Crypto Index. The decision is subjective and reflects the needs of potential investors. Each investor decides on his own investment strategy and chooses a suitable Crypto Index for himself accordingly.

To give you a suitable overview of the largest crypto indices, we list the best-known crypto funds below.

DeFi Pulse Index

This is a Crypto Index of the DeFi analysis site DeFi Pulse. Via the issuer IndexCoop, the DeFi Crypto Index is composed according to various criteria. It is basically a capitalization-weighted index that tracks Decentralised Finance (DeFi) performance across the entire market.

Also, other factors are decisive in the selection and weighting of individual cryptocurrencies. Among other things, weighting is based on the following criteria:

  • Descriptive characteristics of the token
  • Characteristics of the token’s supply
  • Characteristics of the traction of the project
  • Characteristics of the user security of the token

These criteria are reviewed every month after the definition phase, and individual cryptocurrencies are excluded, added, or weighted differently. Currently, a total of 14 cryptocurrencies are included in the DeFi Pulse Index.

This Crypto Index is particularly suitable for investors who see high potential in DeFi. With the DeFi Pulse Index, investors cover the largest and most important DeFi applications and automatically participate in the overall performance of the Crypto Index.

The performance of the DeFi Pulse Index was over 350% within the last 12 months.

If you are looking for a decentralized version of a Crypto Index, you will find it with Indexed Finance. The decentralized protocol allows investing in different crypto indices in which the respective cryptocurrencies are actually deposited.

Meanwhile, five different crypto indices can be found on Indexed Finance, which can currently be traded on the decentralized exchange Uniswap. Alternatively, the cryptocurrencies representing the respective Crypto Index can be created on the official Indexed Finance site.

The smart contract automatically creates the desired number of the respective index cryptocurrency by buying the respective cryptocurrencies contained in the Crypto Index in the background and putting them into a pool. It works similarly in the other direction. Investors can burn their index cryptocurrencies again and receive the deposited cryptocurrencies in return.

However, this procedure is associated with high transaction costs, which are currently quite high. Therefore, we currently advise buying the index cryptocurrencies directly via Uniswap.

5 Crypto Indices to choose from
Indexed Finance currently lists the following crypto indices:

  • DeFi Top 5 Index (DEFI5)
  • Oracle Top 5 Index (ORCL5)
  • NFT Platform Index (NFTP)
  • Cryptocurrency Top 10 Index (CC10)
  • Degen Index (DEGEN)

Each crypto index was created according to different criteria in the individual areas. The community decided on the respective cryptocurrencies and their weighting.

Rebalancing takes place every hour to adjust the weighting again and again. Also, individual cryptocurrencies can be omitted or included.

Thus, investors can use Indexed Finance to access various crypto indices that cover different areas within the crypto market. Besides, investors can make themselves available as liquidity providers and passively farm the governance token NDX in return. However, this does not come without risk, so we strongly advise against it for beginners.

The performance of the individual crypto indices is not yet representative, as three of the five crypto funds were only created a few weeks ago. The DeFi Top 5 Index was able to achieve over 500% within the last 6 months. The Cryptocurrency Top 10 Index was over 300% in the same period.

Invictus Capital set a new standard in November 2017 with the Crypto20 Fund. Based on the Crypto20 fund, 6 other funds have been created to simplify diversification in the crypto market.

The most popular crypto index — Crypto20 (C20) — is an index fund that allows investors to invest in a token representing the 20 largest cryptocurrencies by market capitalization. This simplified method is not only cost-effective, but it reduces research and rebalancing requirements for investors.

This allows investors to track overall market performance and take advantage of diversification benefits within the crypto market. C20 offers high liquidity around the clock and requires no minimum investment. The token can be traded directly through the Invictus investor platform or obtained through a 3rd party exchange.

Invictus Capital charges a fee of 0.5% per year, which is low compared to other crypto index providers. Deposited funds are used for staking and other methods to generate an additional return so that a large part of the costs can be covered.

C20’s Crypto Index approach provides significant diversification benefits, i.e., less volatility and risk, as the impact of outliers within the portfolio, both upside and downside, is reduced by the 10% cap.

The 10% cap also limits excessive positioning in individual assets such as Bitcoin and Ethereum. In light of Bitcoin’s current dominance, the fund is particularly suitable for investors who expect other cryptocurrencies to take market share from BTC in the future.

The fund’s holdings are rebalanced weekly, with coins and tokens moving in and out of the index regularly.

Also, certain projects are excluded from the fund that does not pass the specially developed screening process. These include, among others, non-existent fundamental value propositions or insufficient liquidity. Stablecoins are also excluded from the Crypto20 fund.

C20 tokens can also be used to earn loyalty rewards in tokens (ICAP). These tokens get their value using a portion of all fees earned by Invictus Capital (across the range of 7 funds) to buy ICAP on the open market.

As C20 is best suited to a long-term investment horizon, the ability to generate returns in ICAP is a fantastic benefit for the long-term investor.

ICAP is distributed every 30 minutes to investors who lock in their Invictus Capital fund tokens for a fixed period of time. Investors can choose a term of 1 to 12 months — with additional rewards available for longer periods.

C20 can be purchased via the newly designed investor platform at the current token NAV (net asset value). Alternatively, the token can also be traded via Ovex, HitBTC, and several decentralized exchanges, including Uniswap.

Investors can access various crypto indices through Invictus Capital, which covers different areas within the crypto market. Besides, investors can generate passive income by staking from the Crypto Index C20, especially if they pursue a long-term investment horizon, which is recommended here.

The performance of the Crypto20 was over 200% within the last 12 months.

The crypto market offers many opportunities and risks. Therefore, the demand for financial products that offer a good ratio of risk and reward is growing. Also, the overview of the entire market is made more difficult by the high density of information.

A crypto index offers an intelligent solution to participate in selected cryptocurrencies or the overall market. Investors are provided with a financial product for the crypto market that offers investors a suitable means of diversification.

Besides, passive income streams can also be generated through staking, such as from the Crypto Index C20, returns can be increased even further.

A Crypto Index is suitable for any investor who focuses on Bitcoin or Ethereum and follows the latest trends in the crypto market. It has never been so easy to invest in a diversified crypto portfolio.

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