Sergey Savastiouk's Avatar
published in Blogs
Feb 23, 2021

Will A.I. Kill Capitalism?

Artificial Intelligence (AI) is here to stay. Once strictly the territory of our imaginations, rapid improvements in the technology mean automation is entering all aspects of our lives. Enthusiasm ranges from a belief that this is the beginning of a magical era for humanity as machines take over repetitive tasks, to fear that AI will literally automate people out of jobs, leading to civil unrest and, eventually, the destruction of the human race by the robots.

Most experts admit that future changes are impossible to predict. This is nascent days for effective AI – no one is entirely sure about anything. If history is any indicator, disruptive changes will happen in the short term, only to even out as society adjusts. But some AI advocates believe this time will be different. For the first time in history, mental skills, not mechanical skills, are being mechanized.

Calum Chace, the author of the book Artificial Intelligence and the Two Singularities, disputes the notion that humans will have ample time for leisure if machines take care of menial tasks for them. He argues that this vision would necessitate a utopian “abundance economy”, where basic human needs like shelter and food are so abundant they are free. Without that ideal scenario, humans would have to compete with each other for jobs that have not been automated, potentially exacerbating existing problems with resource-related inequalities.

Avoiding these issues means facilitating a gradual transition to an AI-driven economy. Governments and regulatory bodies would need to oversee which roles were being automated and assign resources to assist those who are being replaced entirely, rather than simply assisted by artificial intelligence. And these parties plus industry (especially Silicon Valley) would need to prioritize people over profits – no given, as tech’s giants are still primarily profit-driven entities despite that sector’s love of benevolent origin stories.

In the short term, managing fear and expectations is important to smooth the transition to an AI-driven world. Chace cites self-driving cars as an example: “[People] will see these robots driving around taking people’s jobs and think ‘It won’t be long until they come for mine’ – and then there will be a panic. And panics lead to very nasty populist politicians, of the left or the right, being elected.”

A utopian, AI-centric society may be a bit of a pipe dream, but Chace still believes it is possible to shape a reality where AI exists without the extreme stratification of haves and have-nots. “If we do grasp the challenge we can have an amazing world for ourselves, our kids and our grandkids…a world where machines do the boring stuff and humans do the worthwhile, interesting stuff,” says Chace. Creating that world is a possibility – if society makes politicians and business leaders aware of the challenges and holds them accountable for making positive changes.

The Investment and Financial Industry Faces the Same A.I.-Driven Evolution

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:

  • Finding stock patterns in the market
  • Finding trends in the stock market
  • Testing portfolios to see if they are well-diversified
  • Back-testing statistics to see how different stock patterns generated trading results
  • Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.

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

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...