The number of businesses worldwide that have adopted Artificial Technology (AI) technologies stands at around 7,000 so far. That's a pretty high number considering that AI is a relatively new technology, with just a few years on the scene.
Now, take a wild guess how much that number is expected to grow over the next five years… Could the number grow to 20,000 businesses worldwide adopting AI by 2022? Or maybe it’s even bigger adoption, potentially reaching 100,000 businesses?
The actual number is likely to shock you.
By 2022, or five years from now, the number of businesses adopting AI technologies worldwide is expected to reach some 900,000.
That's right! Nearly a million businesses with AI technology likely to deliver significant efficiencies in cloud processing, storage capacity, machine learning algorithms to solve more problems faster, automation and innovation.
The way the landscape is changing, it is almost certain that businesses that choose to ignore AI applications will find themselves at a competitive disadvantage. Humans simply do not have the processing power to solve complex business problems as quickly and efficiently as AI ultimately will, and companies that use AI to test and change processes are likely to see their businesses operate more efficiently.
Many businesses are starting slow, which is an advisable way to proceed. In many cases, businesses are starting to implement AI at the margin, just to analyze their existing businesses for insights and potential improvement opportunities. Some of the world’s biggest and fastest growing companies, like Google, Netflix, PayPal, American Express, and Amazon have already deployed projects driven by machine learning. These big names have the luxury of having cash and resources available to test AI and not necessarily hinge anything on actual results, at least in the early stages. They are just ‘tinkering,’ you might say, with how AI might be able to fit into the existing business to make it better.
The bottom line here is fairly clear, however, at least in my view. And it’s that AI is almost certain to have an exponentially increasing role in how businesses operate.
It’s this very realization that led the founders at Tickeron to create a platform that brings AI to retail investors. As it stands right now, some of the biggest banks and trading houses are using AI to analyze enormous data sets for insights on how to trade and manage portfolios. Tickeron saw that as putting retail investors at a distinct disadvantage, just as businesses that ignore AI are likely to be at a significant disadvantage against their competitors.
If AI is likely to have such a big role in how we do business and invest, then it makes sense for investors to start ‘tinkering’ with AI to see if it can help you make better, more informed investment decisions. That can all happen here at tickeron.com.
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where NFLX advanced for three days, in 217 of 303 cases, the price rose further within the following month. The odds of a continued upward trend are 72%.
The RSI Indicator shows that the ticker has stayed in the oversold zone for 4 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an Uptrend is expected.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 8 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
NFLX may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on October 21, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on NFLX as a result. In 56 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 72%.
The Moving Average Convergence Divergence Histogram (MACD) for NFLX turned negative on October 21, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 44 similar instances when the indicator turned negative. In 29 of the 44 cases the stock turned lower in the days that followed. This puts the odds of success at 66%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where NFLX declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 72%.
The Aroon Indicator for NFLX entered a downward trend on October 27, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron SMR rating for this company is 21 (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Price Growth Rating for this company is 64 (best 1 - 100 worst), indicating fairly steady price growth. NFLX’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Valuation Rating of 78 (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (8.609) is normal, around the industry mean (12.963). P/E Ratio (19.300) is within average values for comparable stocks, (38.874). Projected Growth (PEG Ratio) (1.183) is also within normal values, averaging (2.376). Dividend Yield (0.000) settles around the average of (0.045) among similar stocks. P/S Ratio (6.798) is also within normal values, averaging (2.932).
The Tickeron PE Growth Rating for this company is 93 (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Profit vs. Risk Rating rating for this company is 100 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. NFLX’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 78, placing this stock worse than average.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a provider of online movie rental subscription services
Industry MoviesEntertainment