Chris’ note: The countdown is on… In just a few hours, Silicon Valley insider Jeff Brown will unveil a project he’s been secretly working on for the past five years. It combines the most powerful trend in computing with the most explosive market on Earth…
It uses a special kind of artificial intelligence (AI) to spot patterns humans can’t see in the crypto market. Then it uses these patterns to recommend trades that can spawn six-figure returns in just 60 days.
Jeff will unveil all the details in a special presentation tonight at 8 p.m. ET. So make sure to secure your free spot here. Then read on below to hear from Jeff how this special type of AI works… how it gives you a clear advantage against human traders… and why it’s perfect for generating returns in today’s choppy crypto market.
(To watch a video of the full conversation, click here)
Chris: Markets have been choppy all year. We’ve seen falling stocks and crypto… rising inflation… and a major ground war in Europe. But you’re not giving up on your mission to help your readers move the needles on their wealth. Tonight, you’re launching a totally new kind of trading advisory to help them do that. How does it work?
Jeff: Thanks, Chris. This has been a dream of mine for the last five years. So far, I’ve spent half a million dollars on research and development for this project.
As you know, I spend my days – and evenings and even holidays – researching bleeding-edge technology for my readers. I write about it every day. I also want to use tech to inform great trading and investment opportunities.
So I’ve harnessed one of the most powerful tech megatrends I’ve been tracking – the rapid advances in AI – and applied it to financial markets. I call it the “Perceptron.”
My team and I have programmed an AI that trades the most explosive market in the history of finance – crypto. We’ve designed the AI to spot buy and sell signals that even teams of the smartest humans can’t see.
There’s simply too much data about the crypto market for humans to decipher. But AIs can synthesize massive amounts of data to find predictive patterns we can’t.
Chris: This reminds me of the rise of AI in medicine. For instance, AIs are now better at detecting the early stages of lung cancer than human radiologists are. They “see” patterns human radiologists don’t. These show which patients will develop the disease… often years before symptoms show up.
Jeff: Radiology has had some of the earliest AI success stories. To train an AI to spot signs of lung cancer, you collect images from people who’ve gone on to develop lung cancer worldwide. You feed that as a training set into an AI. It then finds patterns in the images.
That’s not a very complex application of AI because it’s a clear data set. When we apply that to financial markets – where there are hundreds or thousands of factors or data points for an underlying asset – it gets harder.
The system my team and I have designed deals with complex patterns, including daily volatility.
Chris: Can you tell me more about how it works?
Jeff: Your readers may have heard of AlphaZero. It was an AI project Google’s AI-research company, Deep Mind, developed in 2017. The team wanted to create an AI that mastered chess… a Japanese version of chess called shogi… and Go, a strategic, two-player Chinese board game that dates to about 500 B.C.E.
Unlike other algorithms, AlphaZero didn’t use data from past games to try to spot patterns. Instead, it used something called a deep neural network. It mastered the game rules by repeatedly playing against itself.
Within 24 hours, AlphaZero achieved superhuman mastery in all three games.
It mastered these games so quickly by anticipating every possible outcome and then making the move with the highest probability of success each time.
Mastering chess and shogi was relatively easy for AlphaGo. There are relatively few possible outcomes in those games. Go was the challenge. In that game, there are more possible outcomes than there are atoms in the universe.
What’s fascinating is that when AlphaZero beat – and I would argue destroyed – the human grand master, it made a lot of unpredictable moves. They were so uncharacteristic of how people had played the game for more than two millennia, even a grand master couldn’t effectively respond to them.
You can think of the Perceptron as a kind of AlphaZero. But instead of mastering board games, it masters how to make money trading crypto.
Chris: Why crypto and not, say, tech stocks?
Jeff: Crypto is a great application for this type of neural network tech because there’s so much volatility. Also, tradeable crypto is only about a decade old. So this is still an emerging market.
So much is happening, no human – or group of humans – can process it all. But a neural net can. That will give us an advantage over other crypto investors and traders.
The neural net we’ve created can capture and learn from all this info daily. This allows it to make trading recommendations to best take advantage of volatility.
I have big longer-term plans as I further develop the neural net. But crypto is by far the most exciting asset class to focus this tech on right now.
Chris: What kind of holding periods are we talking about for each trade recommendation?
Jeff: After almost a year of training our neural net, we’ve found that the best predictive window is 60 days. So this is especially exciting for folks who like to be more active with their trading.
Chris: What kinds of gains are you targeting?
Jeff: We’ve seen a wide range of potential gains. Some have been four-figure percentage gains. Others have been double-digit percentage gains. But we’ve designed the system to focus on catching the large outliers. All you need is one of these big trades to make a whole year of profits.
We’ve also built in a downside “cushion.” As you mentioned, markets – including crypto – are highly volatile right now. So if there’s downward pressure on a trade we’ve entered, we’ll get out a bit early. We designed the system to perform even in market declines.
I can’t tell you how excited I am to launch this neural net later this evening. You can sign up to attend here. For folks who tune in, I’ll give away a free recommendation. It’s a crypto the neural net is giving a strong signal on. And it’s my way of saying thank you for taking some time to join me. So I hope to see you there.
Chris: Thanks, Jeff. This one has me really excited. See you there.
Jeff: Thanks, Chris.