John Jacques's Avatar
published in Blogs
Mar 24, 2023

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

In today's financial markets, Artificial Intelligence (AI) is playing a bigger role than ever before. Major financial institutions are investing millions of dollars into developing algorithms that can analyze market patterns, identify trends, and execute automated trades, all to gain an edge even with the slightest price movements.

This AI revolution has grown so significant that the world's top five hedge funds all use systems-based approaches to trade financial markets. According to HFR, quantitative trading hedge funds currently manage $918 billion, which is 30% of the $3 trillion hedge fund industry and continues to increase every year.

For years, hedge funds have been shifting towards AI and computer-based trading systems. Just recently, BlackRock, the largest asset manager globally, announced that it is overhauling its stock investing business to further embrace computer trading. Although this means cutting its human workforce by approximately 40 portfolio managers and employees, the company views this as a logical next phase for its business growth. Mark Wiseman, the man in charge of BlackRock's equities operations, stated that "the old way of people sitting in a room picking stocks, thinking they are smarter than the next guy—that does not work anymore."

In other words, AI is becoming more dominant over human intelligence, and investors are taking notice. Last year, $83 billion flowed out of discretionary hedge fund managers, while $13 billion flowed into quant hedge funds. Machines now occupy the top spots in the hedge fund world.

So, if the smartest hedge fund investors are moving towards AI instead of human intelligence, shouldn't retail investors consider following suit? Until now, retail investors have not had access to AI on any investment platform, nor do they have access to the technology and resources required for data processing.

However, with the launch of Tickeron's new investment platform, retail investors can now use AI for various functions, including identifying stock patterns and trends, testing portfolio diversification, and generating investment ideas to improve diversification. Tickeron's platform also allows investors to back-test trading results based on different stock patterns, among other features. Now, AI is no longer exclusive to the world's top hedge funds; it's accessible to everyday investors. Learn more about it on Tickeron.com.

If you're interested in stock patterns, you can identify 37 different pattern types across thousands of stocks, ETFs, and cryptocurrencies on Tickeron's platform. Check it out!

 

Looking for a way to be fully prepared to conquer the market? Look no further! Our premium products are just what you need. As a new trader, you'll find our AI Pattern Search Engine and the AI Trend Prediction Engine incredibly useful. And for those who are more experienced, our Screener is the perfect tool to help you narrow down your search and keep an eye on your securities for an extended period.

We've gone above and beyond to make sure our products are top-notch. Our team has explored nearly every existing method, from price patterns to trend indicators to oscillators, using neural networks and deep historical backtests. This has allowed us to create a pool of trading algorithms that work together seamlessly to help our AI Robots effectively determine the key points of change in market trends. Don't miss out on the opportunity to take your trading to the next level with our premium products!

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...