Unyi (pronounced Annie) is a powerful AI.
She can’t predict the future, but she can help you get more out of your investments while reducing risk.
It is as close as possible to tomorrow’s newspaper.
As you know, every publicly traded company has hundreds of data points related to its business and stock.
Annual Revenue, Quarterly Revenue, Net Income, Gross Margin, Sales, P/E, Return on Equity, Tangible Assets, Stock Momentum, Trading Volume and Relative Strength, just to name a few.
But which of those data points has proven beyond a doubt to have predictive power to generate real-world profits?
Is a low P/E the best predictor of future stock returns?
Is staggering sales growth the best predictor of future stock earnings?
Is stock price momentum the best predictor of future stock returns?
Or is it the result of a combination of factors?
An-E answers all these questions.
Now, there may be some resistance to letting the algorithm choose the stocks.
But AI is already entrenched in many industries, and what it can do continues to grow as it “learns” and adapts.
This technology has also been around for quite some time. In fact, here are 10 things you probably didn’t know about what AI can do…
10 amazing AI feats
ChatGPT and other AI-powered programs can write novels, screenplays, and doctorates. Papers and research papers…all done in a way that’s almost indistinguishable from humans.
But the list of how AI has changed our lives is longer than you might think.
10 AI Features:
- Data analysis powered by AI is revolutionizing professional sports. When you watch an NFL game, you see odds and stats all over the place.
- The Boston Red Sox finally won the World Series in 2004 because they used data analytics to build a winning team. The Chicago Cubs beat the long World Series drought with data analysis.
- In 1997, the artificial intelligence program Deep Blue beat the world’s best chess player.
- In 2016, an AI program defeated a world-class Go player. (Go is much more complicated than chess, so this victory was a major milestone in computer history.)
- AI can now outperform the best oncologists at detecting cancer on X-rays.
- Uber uses AI to dispatch drivers and connect with customers.
- Amazon uses AI to recommend potential purchases to you.
- Facebook uses AI to organize and customize its news feed.
- Dating sites like Match.com use AI to help people find potential soulmates.
- Healthcare companies are using AI to scan DNA, blood, and other test results to identify problems with greater accuracy than human experts.
- Recruitment agencies are using AI to screen resumes and job applications to recommend the best candidates. No humans needed.
The AI revolution is happening now. And you have a once-in-a-lifetime chance.
How powerful is AI TRUE?
At its core, AI is simply very powerful software running on very powerful computers.
If you’ve paid attention to the biggest technology and business trends of the last 30 years, you know why it’s such a big deal.
Over the past 30 years, software has greatly improved our ability to collect, analyze, and act on information. This has allowed us to make tremendous strides in human prosperity and efficiency.
Efficiency, Productivity, Accuracy
A good software program can help you make smart business decisions, find travel plans, talk to loved ones, and get home on the cheap.
Software has greatly improved our ability to communicate, share information, trade, collect data, and analyze.
Healthcare, education, transportation, manufacturing, energy production, food production, retail, banking, you name it. Thanks to software programs, we can now do it much more efficiently.
For example, one person running an Excel spreadsheet on his computer can do the work of hundreds of accountants days ago.
A single person running payroll software on a computer can do the work of hundreds of back-office workers over the past few days.
A single person running logistics software on a computer can spend days doing the work of hundreds of railroad managers.
Think Google, Microsoft Word, Uber, Facebook, OpenTable, Expedia, Excel, Waymo, PayPal, DocuSign, E-Trade, and all the software-based products and services that bring us joy and save us time, money, and frustration.
The list of things that software can do better and faster than we can — things that save us a lot of time, frustration and headaches — are miles long.
Now, let me tell you about one of the biggest areas of AI that you may not know about: financial markets.
The power of AI in finance
No data is bigger and more informative than the history of US stock prices and corporate financial statements. Libraries would be overwhelmed if all this information was printed on paper.
Fortunately, our ability to understand and act on that information has improved tremendously over the last 30 years.
For in the past 30 yearsthe cost of computing power plummeted, but computing power itself soared.
for example: In 1996 ASCI Red was the first computer to reach 1 teraflop speed. This speed achievement earned ASCI Red the prestigious title of “World’s Fastest Computer”.
ASCI Red occupied an office space the size of a tennis court and cost $55 million to produce.
Just 10 years after ASCI Red launched, Sony launched the PlayStation 3 video game console. It had nearly double the computational power of ASCI Red and was less than 1% less expensive to build.
Plus, the PlayStation 3 could fit in your backpack.
This is one of my favorite ways to prove a point. Computers are advancing in speed and performance at an alarming rate.
Thanks to such huge leaps in computing power, we are now able to perform amazingly complex analytical projects at ridiculously low prices, revolutionizing our understanding of the world.
Thanks to low-cost supercomputers, an analytical project that took a month to complete in 1996 can now be done in less than a minute and cost less than 1%.
Hugely expensive data analysis projects that once existed only in the realms of governments and big corporations can now be run virtually free by teenagers in their parents’ basements.
Massive increases in computing power have enabled us to collect, record, and monitor trillions of data points, signs, and clues from every stratum and determine exactly what they mean.
We use this new technology to uncover hidden correlations, covert relationships and signals in our data.
Where previously all we could find was meaningless noise, we are beginning to find meaningful cause and effect relationships.
and a great research team trade smithOne of the world’s leading investment data analytics companies has developed new AI software that classifies financial data better than human experts.
TradeSmith & “Project An-E”
TradeSmith employs a staff of 36 data scientists, software engineers and investment analysts who develop and maintain investment software and market analysis algorithms.
The team literally has hundreds of years of collective experience in software development and data science.
So it’s no wonder we developed a deep knowledge of artificial intelligence many years ago. The company has used this for years to design strategies that help its customers win in the market.
Market-disrupting, world-leading investment analytics programs? They embrace AI.
In other words, the people at TradeSmith were AI experts long before AI was a hot topic.
Our friends at TradeSmith say the hype around AI and next-generation data analytics is justified, as the company has been integrating AI into its systems for years.
TradeSmith has put this tremendous amount of computing power and AI at your fingertips to embark on the most important research project in the company’s history. This could help you get much bigger returns than you currently have in the stock market while reducing your risk.
so i found out Ann E.
With the help of powerful computers, TradeSmith created An-E with simple goals in mind: Determine the attributes of stocks that are most likely to rise in the near future.
They wanted to find something that really worked in the stock market.
They brought no preconceived notions to this project. No prejudice. No wishful thinking. There is no ego to protect. There is no need to justify past positions.
Just let the data and the AI that analyzes the data interact and answer your questions.
- What are the most predictive stock price factors?
- What kind of stock selection system yields the most profit?
- What’s the closest thing to getting tomorrow’s stock chart?
Well, let me be clear. I’m not talking about predicting the future.
I will be the first to say that it is impossible to predict the future – and my friend TradeSmith CEO Keith Kaplan agree with me
With Project An-E, Keith and his team are looking for the closest thing to that.
They were looking for an “edge” that could be used again and again.
Start investing smarter with AI
upon Tuesday, July 25, 8:00 PM ETKeith and I live A special event to announce Project An-E. Let’s talk more about artificial intelligence and how Project An-E works.
What we have discovered is incredible. It may help you meet your financial goals and achieve life-changing wealth in the years to come.
If you don’t already have sign up here! You don’t want to miss this one.
Can’t wait to meet you there!
Until then, see you on Tuesday
Ian King Editor, strategic luck