Where You Get Your Data Matters

When Chaikin Analytics founder Marc Chaikin recently called me about a trading setup he spotted, I knew he'd found something good... [Chaikin PowerFeed]( Where You Get Your Data Matters By Vic Lederman, editorial director, Chaikin Analytics When Chaikin Analytics founder Marc Chaikin recently called me about a trading setup he spotted, I knew he'd found something good... Vic, the technical setup here is near perfect. I want to get this one out as fast as possible. Marc had identified a trade opportunity for Chaikin PowerTrader newsletter subscribers. And "as fast as possible" is as tight of a deadline as you can get in our business. On top of that, Marc made the task even more challenging... He had picked a company that's so boring, most investors never think about it. I pondered how to tell this story in an exciting way. And I knew that I needed to start right away. My first step? I bought a book. Now, I realize that doesn't sound exciting at all. And on its face, it's not... You'd expect financial analysts to do a lot of reading. I'm no exception to the rule. But the book I bought had a major problem. And that's the big point of today's essay... Recommended Links: ["The 'Safest' Asset in America Is About to Crash and Burn"]( Millions own it... And because of a strange loophole, you may not even realize you bought it. Most have no idea what's happening, but the consequences could be harsh. [Click here to see all the details for free](. [Our No. 1 Stock for the Rare 'Millionaire Window' That's Opening NOW]( According to Wall Street legend Whitney Tilson, an extremely rare window in the markets is about to open. It's an often misunderstood market setup only seen 13 times since 1920. The last time this happened, it minted a million brand-new millionaires – in a single year. But he says this unique window in the markets could close much sooner than anyone realizes, leaving most investors in the dust... while making a select few incredibly rich. [Get our No. 1 stock (with 500%-plus upside potential) for this rare market event now](. Put simply, the author filled the book with pages and pages of AI-generated slop. The cover promised an in-depth look at the company Marc had spotted... I hoped to find exciting stories – and more importantly, interesting data – to use as a springboard for my research. Instead, I found nothing more than ChatGPT-style summaries. I won't name the book. After all, I can't prove that the author "wrote" it with evil intent. But it's one of the worst examples of bad data I've come across in my years in this business. And it proves the value of trustworthy information in our increasingly digital world. Just look at what happened at Sports Illustrated last November... The magazine first published 70 years ago. It was long known as one of the most reliable names in sports coverage. But even it allegedly fell victim to the lure of "easy" content... Tech website Futurism reported that Sports Illustrated used AI-designed headshots and bios for several authors. Sources told Futurism that Sports Illustrated published AI-generated articles as well. (Sports Illustrated's parent company blamed a third-party contractor.) This example should make you wonder... How much bad AI data is out there these days? This problem doesn't end with the book I bought and the Sports Illustrated scandal, either. People have caught ChatGPT and other AI models regurgitating all kinds of bad data... Alphabet's new AI search feature told users that cheese stays on pizza better with "nontoxic glue." And it said that geologists recommend "eating at least one small rock per day." That may sound ridiculous to you. But this nonsense represents a huge data problem. You see, Google trained its latest AI model on everything it could scrape off the Internet. That included online message board Reddit and satire website The Onion. Bad data got in. And it messed up the output. Sure, I'm sharing silly examples of data gone wrong. But in finance, data quality is as serious as it gets. It drives hundreds of millions of dollars' worth of decisions every day. Marc knows that... It's why he built his decadeslong career in this business around learning to retrieve data from the most dependable sources. Along the way, he also learned to interpret it correctly. Some of Wall Street's most powerful names trusted Marc to provide everything they needed when it came to data and analysis. And nowadays, data makes the Power Gauge such an incredible tool. Folks, the world is changing quickly. To be sure, AI is a powerful tool. But as I've discussed today, it still has its limitations when it comes to data. Put simply, where you get your data matters – especially when it comes to your investing decisions. Good investing, Vic Lederman Market View Major Indexes and Notable Sectors # Hld: Bullish Neutral Bearish Dow 30 +0.5% 13 14 3 S&P 500 +0.81% 167 275 51 Nasdaq +0.84% 26 62 12 Small Caps +0.75% 569 1007 345 Bonds +0.07% Information Technology +1.3% 24 39 5 — According to the Chaikin Power Bar, Large Cap stocks and Small Cap stocks are Bullish. Major indexes are mixed. * * * * Sector Tracker Sector movement over the last 5 days Information Technology +4.51% Financial +3.75% Industrials +3.01% Health Care +2.53% Materials +1.63% Staples +1.62% Communication +1.33% Real Estate +1.23% Discretionary +1.2% Utilities +1.04% Energy -0.9% * * * * Industry Focus Mining Services 1 27 7 Over the past 6 months, the Mining subsector (XME) has underperformed the S&P 500 by -8.30%. Its Power Bar ratio, which measures future potential, is Very Weak, with more Bearish than Bullish stocks. It is currently ranked #19 of 21 subsectors and has moved down 7 slots over the past week. Indicative Stocks [rating] HAYN Haynes International [rating] MTRN Materion Corporation [rating] ATI ATI Inc. * * * * Top Movers Gainers [rating] VST +5.56% [rating] AMTM +5.5% [rating] QCOM +4.74% [rating] AMAT +4.31% [rating] HUM +3.69% Losers [rating] DG -3.31% [rating] DLTR -3.1% [rating] CRWD -3.03% [rating] ACGL -2.89% [rating] ALB -2.37% * * * * Earnings Report Reporting Today Rating Before Open After Close SCHW, STT, UNH WBA No earnings reporting today. Earnings Surprises No significant Earnings Surprises in the Russell 3000. * * * * You have received this e-mail as part of your subscription to PowerFeed. If you no longer want to receive e-mails from PowerFeed, [click here](. You’re receiving this e-mail at {EMAIL}. For questions about your account or to speak with customer service, call [+1 (877) 697-6783 (U.S.)](tel:18776976783), 9 a.m. - 5 p.m. Eastern time or e-mail info@chaikinanalytics.com. 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