Sergey Savastiouk's Avatar
published in Blogs
Feb 27, 2021

How AI Will Revolutionize News as We Know It

The rise of the internet has changed every aspect of our lives. There is something online for every interest and need, often just a click of the mouse (or tap of a thumb) away. The consequences have been real, forcing entrenched business models to adjust – or be made obsolete.

Media is one of many sectors experiencing seismic shifts. While television has mostly managed to retain its place as America’s go-to stop for news through the hand-wringing about the potential death of print media – Pew Research Center issued a 2017 report detailing that 50 percent of America’s population gets their news from TV – that report also contained a surprising development: online news is gaining ground more quickly than expected. 43 percent of Americans now report they get their news on the internet – a five percent increase over the year before.

There are numerous reasons for this shift. The public is cooling on the interruptions and annoyance of TV advertising; Americans have also shown an increasing hunger for subscription media services offering high-quality content that matches their personal interests. An increasing amount of that content is video – Cisco reports that video will make up 82 percent of total consumer web traffic by 2021 (an increase of nine percent over 2016) – with “IP-delivered TV experiences as a key driver.” 

Broadcasters and news outlets have been forced to adjust to this brave new world, and it hasn’t been without growing pains. A Reuters Institute research report, “The Future of Online News Video”, described most news organizations as being in “an experimental phase; they are nervous about the significant investment required, the difficulty of scaling video, and the uncertain path to commercial return.”

Artificial intelligence is providing a path forward – in fact, Chris Richardson, experienced digital media entrepreneur and CEO of Linius Technologies, wrote in Forbes that the future is well on its way for ultra-curated, personalized news content. Bloomberg’s Project Cyborg initiative is working to bring automation to journalism, says Richardson; The Associated Press is “embracing software to automate copy creation for investment and sports coverage, dramatically increasing the number of write-ups produced” while also “exploring automation and AI to surface political data to enable better, faster election reporting.” Meanwhile, broadcasters like RTVE and the BBC are researching how to “automate the production of news packages, sports highlight packages and the connection of content to viewer preferences through data mining techniques” and even detect and quell fake news reports.

Richardson envisions an algorithm-driven world where users’ interests and preferences will be the source of custom-tailored content. “Production costs are minuscule, the number of hyper-personalized video streams infinitely scalable, and the consumer experience hyper-targeted,” writes Richardson, before rhetorically asking: “Who wouldn’t be willing to pay for this type of hyper-personalized subscription service?” If research is any indication, AI is offering a profitable way forward for news organizations around the world.

If You’re Wondering When A.I. Will Start Making Market Predictions…

Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now. 

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions: 

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com

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