| In early July 2024, Hurricane Beryl tore across the Caribbean with winds topping 165 miles an hour. In its wake, it left 35 people dead, millions without power, and caused tens of billions of dollars in damage. For decades, forecasters have used giant supercomputers to track these kinds of storms. They take readings from satellites, ships, and planes. Then they grind through complex physics equations about how air and water move. It can take more than an hour to produce a single 10-day forecast. When Beryl formed, forecasts from a top European weather agency pointed to Mexico as the likely target for landfall. But an experimental forecasting system called GraphCast, which can run on a computer just a little bigger than a laptop, disagreed. Days in advance, it predicted the storm would make landfall in Texas. When Beryl struck Matagorda Bay, Texas, on July 8, it was GraphCast - not the world's most advanced supercomputer - that had been right all along. GraphCast was created by Google's DeepMind AI lab. It's trained on 40 years of weather data. And it can produce a 10-day forecast in 60 seconds. Instead of solving complex equations, it spots hidden patterns in past weather data. This allows it to forecast further and faster than traditional physics-based models. This was a turning point for meteorology. A laptop-scale AI beat the most powerful forecasting engines on Earth. If AI can decode the weather, what might it do with the other great chaotic system of modern life: the stock market? My team of 74 researchers and developers at TradeSmith has been putting our $8 million annual budget to work to find out. And after years of development and testing, we've created a new "Super AI." Instead of learning from weather patterns, it learns from stock market data. And the results have blown us away. It can project future prices of 2,334 stocks up to 21 trading days out - to the day and even the penny - with 85% back tested accuracy. Today, I'll show you how it works - and how you can use it to dramatically up your odds of success as an investor. First, it's important to understand the common thread between predicting storm paths and stock market prices. A Butterfly Flaps Its Wings... In 1961, MIT meteorologist Edward Lorenz was tinkering with a rudimentary weather model on a Royal McBee computer. It was the size of a fridge, spat out forecasts on long rolls of paper, and could take an hour just to process a handful of equations. To save time, Lorenz tried a shortcut. He rounded one of his inputs from six decimal points to three. He let the computer run while he stepped out for coffee. When he came back, the forecast had transformed. A calm weather pattern had become a raging storm. What Lorenz discovered is that tiny changes can snowball into huge effects. He called it the "butterfly effect" because a butterfly flapping its wings in Brazil might set off a tornado in Texas. Weather systems can shift on a dime because they're dynamic, not linear. Even the tiniest change, like a gust of wind or a seemingly minor increase in humidity, can cascade into a wildly different outcome. Markets are the same. Every trading day, markets absorb thousands of tiny shocks. A Fed comment, a surprise earnings miss, even a social-media post can shift sentiment. These are financial "butterfly effects." Tiny shifts that ripple through the system and hit the prices of thousands of stocks. That's why the world's best hedge funds have spent decades building algorithms to capture them. Take the late Jim Simons' Medallion Fund. Since its launch in 1988 until 2018, it delivered average annual returns of about 66% - roughly eight times the average annual return of the S&P 500. At their core, forecasting storms and forecasting stock prices face the same problem. Both are dynamic systems where tiny changes create outsized effects. That's why at TradeSmith, we built our own Super AI to read the market's turbulence the way GraphCast reads the weather. I don't mind pulling back the curtain on it today. It's nearly impossible to replicate. It takes decades of market data, thousands of hours of programming, and a dedicated research team to stitch it all together. From Storm Paths to Stock Prices It's a kind of AI model called a TimeGPT. It isn't designed to write text or generate images. Instead, it forecasts what's known as time-series data. Think of stock prices like storm tracks: data points lined up in time, where each moment connects to the ones before, and hidden patterns influence what comes next. GraphCast works the same way. It doesn't solve physics equations from scratch. It learns from decades of weather data to see how storms grow and move. And just as weather forecasters don't want to miss the next hurricane, investors can't afford to miss the next "Hurricane Nvidia," "Hurricane Google," or "Hurricane Tesla." Our AI is built to see those storms before they hit. Here are some of the best results it's produced, using a special kind of trade to boost returns. For example, on November 6, 2025, our model predicted Albemarle (ALB) would soon hit $125.48 per share by its projection date of Dec 5, 2026. And exactly one month later, the stock exceeded that price, hitting $128.82. My team booked an impressive 36.8% gain. Another example is semiconductor company, Teradyne (TER). On Dec. 30, 2025, our AI projected a 12.9% target gain within 21 days to hit $214.03. Teradyne reached that price - and more - within two weeks, and we booked a 24% gain by the prime projection date of Jan. 30, 2026. As impressive as those gains are, we found you could have done even better with a five-stock portfolio strategy. You simply buy the best five trades - all with an unusually high 85% historical accuracy - and sell when they hit their prime projection date or projected target, whichever comes first. In a five-year back test that included the pandemic, the 2022 crash, swings in interest rates, last year's tariff tantrum, and two wars, this five-stock strategy returned an average annual gain of 374%. Even better, it's simple to follow. That's why I hope you'll join me for The Super AI Trading Event, happening Tuesday, March 24 at 2 p.m. ET. Register for the free online event here. During this special briefing, I'll walk you through the technology behind our new Super AI system and show you exactly how it works. You'll see how it analyzes 2,334 stocks to the penny, identifying projected price targets and the dates those moves could happen - often before the market catches on. I'll also reveal the anomaly this system uncovered... one that could have produced 374% average annual gains across a model portfolio over the last five years, even through events like the pandemic, market crashes, and global conflicts. And as a thank you for joining, I'll show you one of the top opportunities our system is highlighting right now - including why it could be positioned for a major move. I'll even share two of our AI's top stock trades as a thank you for attending. So make sure to secure your free spot here. Sincerely, Keith Kaplan
CEO, TradeSmith | 
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