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Why Artificial Intelligence is Making Day Trading Obsolete, Research Revealed by OpenBlock

· March 9, 2018 · 12:30 pm

OBi is OpenBlock’s automated cryptocurrency trading bot that will bring trading returns to the OpenBlock platform token holders. This allows people from almost anywhere in the world to participate by staking their tokens on the network.


Research over the last two years has shown that digital currencies have become a source of high marginal returns considering its ample trading opportunity and skyrocketing prices. Consequently, it allows individual traders to take advantage of multiple aspects of digital currencies often without the knowledge of the pitfalls of trading, such as high volatility that leads to major price swings.

Trading cryptocurrencies has always been a risky endeavor considering the opaque background of various coins, a trader must know the complexities of trading and have an understanding of a rapidly growing cryptocurrency landscape. Considering the fact that the crypto market remains open 24/7 with little oversight and is highly volatile. This environment has led the perfect storm for both huge losses and huge gains.

Monitoring trends to make the right decision is a tricky task that involves deep analysis of market trends, fundamentals, 30-day moving averages and so much more. Although gaining information from the internet is not a difficult task, it’s important to absorb the correct data from unbiased sources continually. A single individual would have a hard time performing these time consuming and often mundane tasks day in and day out with precision.

The Artificial Intelligence Advantage

The advantages of A.I. trading to human trading is that A.I. has predetermined trading rules, trades 24 hours a day, zero emotional breakdowns, understands risk management and the list goes on…  

Considering the huge potential crypto markets have to offer, OpenBlock has solved all of these issues with an automated trading bot. OpenBlock has carried out two years of investment and extensive research and development into a proven trading bot that solves all the problems of human day trading and provides consistent profits day in and day out.

What Is OpenBlock

What Is OpenBlock

OBi is OpenBlocks‘ automated cryptocurrency trading bot that will bring trading returns to the Open Block platform token holders. This allows people from almost anywhere in the world to participate by staking their tokens on the network. Individuals that do not have the time nor the basic knowledge of crypto trading can benefit from the continuously growing digital currency marketplace without sitting in front of a computer pulling their hair out trying to make money. OBi is a highly advanced automated trading bot that does all the heavy lifting for members of the OpenBlock community 24 hours a day.

Obi trades dozens of currency pairs of crypto simultaneously while it scans the markets, analyzes charts and performs fundamental analysis around the clock which is above and beyond what any human trader could ever perform on a consistent basis. OBi has the ability to trade up to 1200 round trips in a single 24 hour period.

Artificial intelligence is the future of trading, and OpenBlock is at the forefront of this trading revolution.  

OpenBlock believes in complete and utter transparency and livestreams its trades in real-time on OpenBlock.co and the official OpenBlock Youtube Channel. Obi posts the results daily of individual trades and daily profits earned. This ensures that staking participants are always in the loop. OpenBlock is truly building a formidable company that is here for the long run and has a sustainable business model

OpenBlocks’ first round of Presale is currently underway. Learn more by signing up here.

Media Contact:

Name: Rayne
Location: Cape Town, South Africa
Email: [email protected]

OpenBlock is the source of this content. Virtual currency is not legal tender, is not backed by the government, and accounts and value balances are not subject to consumer protections. This press release is for informational purposes only. The information does not constitute investment advice or an offer to invest.


Images courtesy of OpenBlock, iStockPhoto

Bitcoinist does not endorse and is not responsible for or liable for any content, accuracy, quality, advertising, products or other materials on this page. Readers should do their own research before taking any actions related to the company.

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Money 20/20 Panel: Artificial Intelligence and Machine Learning

Source: bitcoin

Money 20/20 Artificial Intelligence

On Wednesday morning at the Money20/20 conference in Las Vegas, a unique and timely panel discussed the emergence and potential applications of Artificial Intelligence (AI) and Machine Learning (ML) in the global, traditional payments arena.

Also read: Technical Analysis: Bitcoin Price to Hit $1500 By Year-End?

Bringing Blockchain to Artificial Intelligence and Machine Learning

As computational technology advances, leveraging trends in data and meta-data will help organizations understand both their customers and other businesses more extensively. AI and ML are going to affect all realms of society, and payments are not immune to this trend.

Democratization of tools for analytics in the field will help open up doors for an expanded crowd. As tools and APIs for developers looking towards AI or ML expand, developers will be able to access these complex tools more easily.

Speaking to this, Dr. Arif Ahmed of U.S. Bank remarked how, “With deep learning, you have better ways to conceptualize problems. You see how voice recognition, fraud recognition, and more are improving. You start with the technology, and then you host concepts. . .We have reached a point where this will exponentially increase over the next few years.”

Pattern recognition from AI and ML advancements will have a strong impact as it relates to Anti-Money-Laundering (AML) and Know-Your-Customer (KYC) practices. Particularly in the litigation response matters, Husayn Kassai of Onfido explained how often times remediation work today is outdated.

“The current way that it is carried out isn’t necessarily fit for a digital age,” said Kassai. “It doesn’t make sense to have fully human authentication systems at a bank.”

Ensuring a proper intake of data will be key here, the panel said, as financial services players transition to updated or increasingly distributed backend platforms.

In the future, many consumer-facing products, including chatbots, will make their way into digital services. For lots of financial players, the ability of machines to understand human slander falls short, as placing consumer-facing concerns in context is a major challenge.

People can build chatbots with specific purposes, such as manuals to build a plane or figure out the nature of a mortgage contracts.  To minimize errors, look for chatbots in financial services to be developed with specific purposes, such as mortgage loan contracts or ATM interfacing.

David Gilvin of IBM remarked how “AI is always on, 365, 24/7. . .If the machine is making the decision, then fundamentally it is not the same as the financial advisor, it is automated through machine learning. . .not only is it always on, it is everywhere.”

Due to increased regulatory pressures and oversight, AI development in financial services is in a stranglehold. Banks and traditional financial institutions will look towards AI once business models emerge for ways to profit from solution-grade AI-financial software.

Blockchain technology, however, presents a more emergent structure for data storage and application processing such that its inclusion in traditional financial institution circles could lend more easily to AI and ML applications.

Inevitably, the panel said, the regulatory environments at home and abroad will have to adopt. Speaking to this, Martina King of Featurespace echoed the challenges that banks faced in the early days of the internet, and how primitive regulation frameworks created during this timeframe can be changed to help AI and ML applications in banking along.

Finally, in the future, improvements will become more clear to everyone. Stakes for taking an early lead in proprietary software markets in AI and ML to financial services institutions signals the large amounts of money currently on the table.

Adding additional programmatic layers on top of existing disparate financial data should yield massive insights for supply chain providers, retailers, customers, and businesses worldwide.  Look for both AI and ML to move away from “black boxes” and more towards proofs-of-concept, similar to the trend that is ongoing in the permissioned-blockchain world. Both applications will likely have a massive impact in the near future!

What do you think about the possibility of Artificial Intelligence or Machine Learning as it applies to financial services, or even blockchain technology?  Share your thoughts in the comments below!


Images courtesy of Ryan Strauss.

The post Money 20/20 Panel: Artificial Intelligence and Machine Learning appeared first on Bitcoinist.net.

Money 20/20 Panel: Artificial Intelligence and Machine Learning

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