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published in Blogs

Feb 23, 2021

How AI Can Complement the Human Mind – Not Replace It

AI is officially here. Machine and deep learning have become powerful and functional enough that businesses, governments, and more can use them in their respective fields. But any attempts so far at artificial general intelligence (also known as strong AI) – the kind of AI that can think or decide like humans – has been an abject failure. Each round of excitement and investment into new developments in strong AI is followed by an equal amount of hand-wringing over a movie-esque dystopian future, then inevitable disappointment when the technology doesn’t live up to the hype.

As tantalizing as the possibilities for strong AI may be, narrow AI (also known as weak AI, defined as AI that is limited to a few specific tasks) represents an immense opportunity for innovation. Artificial intelligence is better understood as augmented intelligence – a complement to, not a replacement for, the human mind. Narrow AI is best at automating the boring, repetitive aspects of jobs, freeing up humans to perform tasks they are better suited for. Used in conjunction with human beings, narrow AI can achieve desirable results more efficiently than ever before.

Customer service is one area already using narrow AI to great effect, with now-ubiquitous chat bots being a natural use case. Chatbots can use language processing and language generation to answer the simple, everyday queries from most customers – when a question is more nuanced and complicated, human customer service representatives can step in. Customers are ultimately less frustrated, wait times are shorter, and employees have used their time more efficiently.

Healthcare and education are other fruitful use cases. Doctors possess intuition, an ability to think in the abstract, and expertise in a variety of areas. Their talent for deciding what is best for a patient that is difficult for machines to replicate. Deep learning algorithms, however, can be taught via images to quickly and efficiently spot kinds of cancer in ways humans can’t. Using AI in this way would allow doctors to help more patients in shorter amounts of time, deploying their talents where best suited. Teachers can use AI algorithms in similar ways – identifying problems in their curriculum or problem areas for their students based on data. They can then put their very human training and intuition to use to combat those issues in a way a machine could not compete with.

The human brain is a complex but flawed place. Humans can accomplish amazing things – they also process information slowly, forget facts, and make incorrect assumptions. Narrow AI can ultimately automate the repetitive, data-driven tasks where humans fall short and machines reign supreme. Rather than reproduce very human flaws within a strong AI algorithm, experts can focus on developing tools that enhance our weak spots, partnering with machines to do things that are not possible on their own.

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:

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

published in Blogs

May 16, 2022

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

published in Blogs

Apr 29, 2022

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

published in Blogs

May 16, 2022

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

published in Blogs

Mar 14, 2023

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

published in Blogs

Mar 14, 2023

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

published in Blogs

Mar 23, 2023

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

published in Blogs

Mar 13, 2023

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

published in Blogs

Mar 20, 2023

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

published in Blogs

Mar 24, 2023

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

published in Blogs

Mar 15, 2023

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...