Michael A. Robinson on Big Data and the Internet of Things


I’m Michael A. Robinson, and I got my start in the stock market and tech well before Big Data and the Internet of Things were topics on people’s radars. Today, you find both terms in nearly every publication you read that deals with technology.

But what do Big Data and the Internet of Things have to do with your investments? And how can the Nova X-Report help you invest more wisely in the tech market?

Michael A. Robinson: What Is Big Data?


Big Data is an umbrella term for huge quantities of unstructured data as well as structured data. It describes the rate and volume at which companies and other organizations can collect data compared to years past.

Believe it or not, I hear questions about this topic all the time. Though my Michael A. Robinson brand isn’t built upon Big Data — or the Internet of Things, for that matter — I still deal with it on a daily basis through the Nova X-Report and my other publications.

The difference between data and Big Data lies in three factors: volume, velocity, and variety.

We’re collecting more data at greater rates and with more variety than ever before. Databases can contain pieces of data from numerous sources and in numerous forms, which accounts for variety. As each of these qualities increases, companies must invest in resources to help them find patterns in and draw conclusions from Big Data.

The problem with Big Data doesn’t lie in capturing it. Instead, we struggle with organizing and understanding it, especially in real time.

Michael A. Robinson: What Is the Internet of Things (IoT)?

The Internet of Things, often abbreviated as IoT, describes the ways in which internet-connected devices communicate. At one time, only one device could connect to the internet independently. Now, we can connect nearly all of our devices at the same time.

For instance, let’s say I have a home Wi-Fi network that I name Michael A. Robinson. It might allow machine-to-machine communication between my desktop computer, laptop, tablet, smartphone, e-reader, printer, and HVAC system. I might also include my security system and baby monitor on that network.

Your Fitbit can send a message to your smartphone about your movements during the day. A motion sensor in your home can alert your smartwatch that someone might have entered your house.

These are all consumer-based examples of the IoT, but when it comes to commerce and government, the implications become much greater.

As I explore further in my publications, including the Nova X-Report, the IoT has a huge impact on global finance, including the stock market.

Michael A. Robinson: How Can Big Data and the IoT Influence Securities?

We’ve already seen many examples of Big Data influencing stock prices. When a company’s records get breached, for instance, and a hacker gains access to millions of consumers’ private financial information, the stock behind that company typically plummets.

Why? Because consumer faith in that company has diminished. The stock market is nothing if not a reflection of sentiment.

We’ve also seen how Big Data and the IoT can make big finance companies richer. Huge investment firms and hedge funds can analyze billions of pieces of data in real time, then automatically instigate trades on massive scales.

I don’t have access to that kind of machine power. You probably don’t, either. But that doesn’t mean you can’t use the Michael A. Robinson suite of publications to make yourself a better trader based on how Big Data, the IoT, and machine learning influence our financial environment.

Why Should You Care about Big Data and the IoT?

Speaking of machine learning, that’s specifically why we should care about Big Data and the IoT. As machines get smarter, more ways to influence the stock market and other securities come to light.

As traders, we have to be prepared for these advancements so we can still generate hefty profits without huge computer systems at our disposal. From day trading to trading options, the Nova X-Report from my Michael A. Robinson series of publications focuses on sharing just how to do that.

More importantly, companies that deal with Big Data and the IoT will tell us a lot about how stock market prices will fluctuate in the coming months and years. Companies that are producing better SaaS systems for analyzing data, for instance, will likely see their stock prices increase.

You might have noticed that integrations have become the next big thing. Tons of SaaS companies, for example, can be integrated together for ease of use. When this happens, stock prices fluctuate because of sentiment toward these companies changes.

If a relatively unknown SaaS company partners up with Salesforce and becomes an integration partner, people perceive that smaller company as being more reliable, credible, and efficient. Proximity matters, whether you’re attending a dinner party with a celebrity or investing in the stock market as companies collude on new releases.

Should You Invest in Stocks Based on Big Data?

The short answer is “yes.” If you’re interested in the tech sector, and if you’re interested in capitalizing on the swift changes in the tech space, you should keep your finger on the pulse of Big Data.

Consider companies like Salesforce (CRM), Splunk (SPLK), and IBM (IBM). All three companies are enmeshed in Big Data analytics, albeit from different angles, and all three have seen remarkable stock price growth in recent months.

Additionally, Big Data has created a new aspect of competition between companies in the tech space. Businesses with better computing power, better analytics, and faster systems will outperform the competition. If you know this information in advance, your trades become far more strategic.

Additionally, Big Data, the IoT, and machine learning could forever change how investment firms and hedge funds manage their investments. As they rely more heavily on machines than on people, professional investors who work for these firms will find themselves out of work. The chasm between major firms and investors like you and I might grow, but the advantages will become more clearcut.

How Can Michael A. Robinson Forecast the “Next Big Thing”?

I’ve spent nearly four decades in Silicon Valley, studying high tech trends, stocks, tools, and businesses. Because of that experience, I’ve managed to predict most of the major upheavals in the tech sector during my working years, which has led to an increasing demand for my expertise.

Specifically, I want to know about the next big thing. What will enable me to cash in on incredible profits based on data-backed predictions?

That’s how I forecast the next big thing. I look at all the data as well as the fundamentals and figure out where the market will go next. Then I share it with you.

My strategies are far too extensive to describe in this article, but suffice it to say that I have the experience necessary to back up my claims. I’ve been ahead of several tech advancements, from cloud computing to the IoT.

For years, I kept my predictions to myself and profited. Then, I realized other people could benefit from what I know. That’s why I started appearing on major television programs, publishing my stock picks, and providing concise information to my subscribers. There’s no better feeling than helping others build their wealth.

What Can the Nova X-Report Do For You?

Over the years, I’ve developed very specific strategies for maximizing profits in the stock market — specifically in the tech sector. My Ethereum 5-5-7 combo, for instance, has helped subscribers turn six-figure profits, sometimes over and over again.

My goal isn’t to invest in companies like Uber and Amazon now. I want to invest in them before they become household names. That’s where the real money lies.

But how do you know what company will be the next Uber?

You subscribe to the Nova X-Report. It’s issued by me, Michael A. Robinson, and it’s based on my years of experience. I’ll share with you little-known secrets that can turn you into a wealthy investor in a matter of months.


There’s no doubt: Big Data and the IoT are complicated topics. You might not know exactly how they work or how far their influence extends, but you can still capitalize on them through strategic tech investing.

Do they matter? Absolutely. As more and more data comes through computer systems and triggers trades, investors have to pay even closer attention to fundamental and technical data. And if you’re interested in tech stocks, don’t forget to sign up for the Michael A. Robinson Strategic Tech Investor publication. It, combined with the Nova X-Report, provides all you need to know about profiting from the tech sector.

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