What Our AI Signals Trader Says About the Nasdaq’s Historic Win StreakVIEW IN BROWSER By Michael Salvatore, Editor, TradeSmith Daily In This Digest:
- These five hot sectors all trace back to one theme
- The Nasdaq 100’s historic 13-day win streak just snapped – here’s what usually happens next
- Our CEO, Keith Kaplan, spotted a bullish signal on this chip stock – then it jumped 9.2%
Yesterday, 8,946 investors watched us unveil the most advanced trading tool in our 21-year history… TradeSmith CEO Keith Kaplan hosted our AI Signals Trading Event. And what he showed was unlike anything we’ve released before. If you’ve been following along the past couple weeks, you know our new Signals system scans 2,467 stocks every morning and runs more than 10.4 million calculations to find anomalies hidden in the data. Then, it surfaces the day’s highest-probability trade setups 90 minutes before the market opens – each one backed by all the data you need for a significant statistical edge. In a five-year backtest, one approach using this system outperformed the S&P 500 by 3-to-1. During the event, Keith demoed the Signals software to the general public for the first time. (Our Platinum members have had access to a beta version of Signals for months.) He also shared two free recommendations: The No. 1 stock to buy right now and the No. 1 stock to avoid… along with a bonus options play designed to amplify the gain. And in a TradeSmith first, our lead developer, Mike Carr, placed a real-money trade on a stock he’d never even heard of – following nothing but the signal. If you missed it, the full replay of the AI Signals Trading Event is available now. Watch it here. The timing of this launch couldn’t be better. As we’ll show you today, the market’s strongest theme is already generating high-probability signals in our system. And the Nasdaq 100 just hit an inflection point that, as our newest software tool will show, historically rewards the patient investor. Let’s dig in… The AI data center buildout is still running strong…Take a look at the best-performing ETFs of the last month… 
Up at the top of the list is the AdvisorShares Pure US Cannabis ETF (MSOS), which tracks a basket of legal cannabis producers and sellers in the U.S. That ETF was up 20% yesterday alone on rumors that the U.S. Justice Department is set to reclassify marijuana so that it can more easily be explored for medical use. Set that aside, though, and we have a clear theme of what’s working in markets. The Global X Lithium and Battery Tech ETF (LIT) leads the way, up 26.6% over the last month. Uranium (URA) is right behind it, up 24.3%. Semiconductors (SMH) are up 23.9%. Copper miners (COPX) are up 22.9%. And gold miners (GDX) are right behind at 17.9%. A commodities-heavy rally like this – with semiconductors keeping pace – points only one direction: the U.S.’s $500 billion AI data center buildout. Copper wires the facilities. Lithium powers the backup batteries. Uranium fuels the next-generation nuclear plants being built to keep the lights on. Semiconductors are the brains inside every rack. And gold isn’t just a hedge that investors buy when they’re nervous. Gold is extensively used in nearly every key component of an AI data center – CPUs, GPUs, motherboards, and connectors. As the market turns back to risk-on, the AI data center theme is surging back to the forefront. And the biggest cloud computing companies – Microsoft, Amazon, Google, and Meta – are still on pace to spend more than $750 billion on infrastructure this year alone. In fact, Microsoft recently signed a $9.7 billion deal with a single data center company – IREN. This company, formerly a bitcoin miner, pivoted to AI cloud infrastructure and now operates facilities powered by 100% renewable energy. That deal is a signal in itself. The demand for AI infrastructure is so intense, companies that used to mine crypto are now worth more as AI power suppliers. And our Signals system – the one Keith just unveiled in our launch presentation – is already flagging trades inside this theme… and on this specific stock. A bullish Sprint signal just fired on IREN. That’s one type of signal we track within our system that finds stocks with strong upward momentum. These signals look for specific patterns in a stock’s price behavior – the kinds of patterns only detectable through the hundreds of calculations our system runs on each of 2,467 stocks every morning. And this IREN signal has an 88.4% accuracy rate. The average return across all trades, wins and losses, is +5.5%. And the average hold time is just four days. 
IREN has been one of the standout plays in the AI infrastructure trade. The company has secured more than 4.5 gigawatts of power capacity – enough to light up a mid-sized city – and is deploying up to 140,000 GPUs (the specialized processors that power AI computing) for its AI cloud clients. When a momentum signal with this kind of track record fires on a stock at the center of the market’s strongest theme, it’s worth paying attention to. And this is just one example of the kind of setup that Signals surfaces every single morning. That’s why, if you haven’t watched Keith’s demo of the system yet, I’d encourage you to do so – the replay is available here.
The Nasdaq 100’s 13-day win streak just ended – and the historical playbook is clear…On Monday, April 20, the Nasdaq 100 snapped a 13-day win streak – the index’s longest since a 14-day run in July 2013. It got us wondering – what tends to happen when the Nasdaq 100 snaps long win streaks? Our new Signals software offers the answer. Our Signal Studies feature lets you build custom tests on any stock or index in our database. You define the set of conditions you want to test (like win or loss streaks, overbought or oversold levels, and more to come), and the system pulls every historical occurrence – along with the forward returns. Because a 13-day streak has only happened once before, let’s focus instead on an idea with more historical evidence. What happens when the Nasdaq 100 (QQQ) closes up nine days in a row, as it did last week? 
This has happened 30 times in the past, with the most recent in September 2025 and going back to 2009. It’s a rare signal, but not so rare we can’t learn anything from it. In the short term, returns are modest. The average gain one month out is just 2.4%. At three months, it’s 2.0%. That suggests the next few months after such a win streak have, on average, been relatively flat. But at six months, the average return jumps to 9.6%. At 12 months, it’s 21.3%. The short-term lull makes sense. After so many up days, the index is stretched. Profit-taking and consolidation are natural. But the longer-term returns tell you the underlying momentum is real – and it tends to carry forward. The takeaway here is simple. If you’ve been riding the rally, don’t panic over a few down days. The historical pattern says patience will be rewarded. Any user of our Signals software can run studies exactly like this one. It’s one of the most powerful features Keith showed off during yesterday’s event. Keith spotted a near-perfect signal on Astera Labs – and the stock jumped 9.2% the same day…Keith posts regularly on X. And his posts are worth following for one reason: He shares real signals from the platform in real time. On Tuesday, Keith flagged a Sprint signal that had just fired on Astera Labs (ALAB). 
The data showed this pattern had fired 23 times previously. It went up 20 of those times. The average gain across all trades – wins and losses included – was 27.2% over about 24 days. The best winner gained 50.3%. The worst loser lost just 5.9%. And the signal’s Quality Score – a measure of how strong the overall setup is – came in at 99.8 out of 100. ALAB closed up 9.2% on the day Keith posted this. Now, Keith noted something worth keeping in mind. Astera Labs only began trading in March 2024. That’s about two years of trading history. So those 23 prior signals are based on a relatively short track record. On lower-evidence signals like this, especially on newer stocks, it’s best to keep your position sizes small. But never ignore the Quality Score – those indicate the best of the best signals in our systems. Keith posts analysis like this from the Signals platform regularly. If you want to see setups like these as they fire, follow him at @KeithTradeSmith. And if you want access to the full system – where you can pull up signals, run studies, and see Quality Scores on thousands of stocks yourself – watch the replay of yesterday’s launch event here. I advise you to watch this event ASAP. What Keith revealed yesterday is the culmination of more than a year of development, $32 million in investment, and a system that evaluated more than 10 million potential trades a day to find the ones where the math tilts in your favor. More than that, it’s an entirely new way of trading that Keith believes will be essential not just for the rest of this year, but potentially decades to come. To building wealth beyond measure, 
Michael Salvatore
Editor, TradeSmith Daily |
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