Allana's Avatar
published in Blogs
Jan 21, 2019

Why MIT Thinks Blockchain Will be "Boring" in 2019

2017 and 2018 were big years for blockchain. The cryptocurrency boom thrust immutable ledger technology into the spotlight, piquing imaginations and leading to increased venture capital contributions for blockchain-related businesses (as well as unimaginable hype). 2018 was supposed to be the year blockchain truly began to capture its potential – until it didn’t.

MIT Technology Review – a publication owned by the famed research institution but operated independently – argues that the technology failed to live up to the hype in 2018, pointing to steep declines in valuations of cryptocurrencies. But their outlook for blockchain in 2019 and beyond is far from negative. In fact, the Review believes 2019 is the year that blockchain becomes so commonplace, it’s “boring.”

The blockchain ecosystem has never been healthier. 2017 attracted new developers who haven’t left; bigger companies have begun developing it for their own uses, and “innovative-sounding projects are still alive and even close to bearing fruit.”

One of those big companies is Walmart, who has been developing (and is ready to roll out) a blockchain-based food supply tracker for their lettuce suppliers. Then there’s New York Stock Exchange owner Intercontinental Exchange (ICE) and investment giant Fidelity: the former “plans to launch its own digital asset exchange in early 2019,” while the latter created Fidelity Digital Assets to act as a custodian for cryptocurrencies. Fidelity has created “a variety of sophisticated security measures” that they believe will safeguard them from irreversible fraudulent transactions on blockchain. While regulatory issues remain mostly unresolved, hindering widespread adoption, two financial power players and one of the country’s most successful companies embracing the technology is a positive sign for its mainstream prospects.

The Review predicts smart contracts are ready to take the next step towards prevalence. Their potential has been acknowledged for some time, but the lack of truly functional “oracle” technology – designed to feed accurate, real-time information to smart contracts on blockchain – has hamstrung progress. But a startup called Chainlink “recently teamed with academic researchers at Cornell to create what it calls the first ‘provably secure, decentralized oracle network,” using “cryptography and a type of secure hardware called a trusted enclave to securely feed data to smart contracts on the blockchain.” And legal technology companies finding real-world applications for “simple smart-contract-based legal agreements…[like those] between a worker and a company,” that, once fulfilled, will pay out the appropriate parties using cryptocurrency.

Finally, the Review sees potential in national cryptocurrencies – an ironic status for an asset that has roots in anti-government and pro-privacy movements. While they may not arrive in 2019, luminaries such as Christine Legarde, head of the International Monetary Fund, believe they “could reach more people, and offer better security, privacy, and consumer protection, than private cryptocurrencies or commercial payment technologies.” 

Blockchain may not have reached the heights anticipated for it in 2018, but its future remains bright – so bright it’s potentially “boring.” Real-world blockchain applications are on their way, and ubiquity may be following closely behind.

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John Jacques's Avatar
published in Blogs
May 16, 2022
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Edward Flores's Avatar
published in Blogs
Apr 29, 2022
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Sergey Savastiouk's Avatar
published in Blogs
Mar 14, 2023
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Dmitry Perepelkin's Avatar
published in Blogs
Mar 14, 2023
5 Habits that Lead to Successful Investing

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders.  Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.
Allana's Avatar
published in Blogs
Mar 23, 2023
What’s the Difference Between Data Analytics and Machine Learning?

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.
Sergey Savastiouk's Avatar
published in Blogs
Mar 13, 2023
4 Tips for Fast, Effective Stock Analysis

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence.  Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.
Sergey Savastiouk's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

5 Golden Principles in Investing

You have enough faith in that stock, based on research, that the return will equal or exceed the investment.  Do unto others.The principles outlined here will ensure that happens.  Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.
John Jacques's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading

The five most important Lessons Learned After 10,000 hours of Trading

Ten thousand hours of active trading, broken down into forty-hour weeks, amounts to almost five years. Having surpassed that milestone myself, I now understand why it's significant for any trader's journey. The early years taught me valuable lessons that have shaped my approach to trading. It's a misconception that great traders are born with innate talent. The truth is that it takes years of...