Wall Street Legend Who Predicted the 2021 Tech Crash Issues New AI Warning 1 million people around the world follow 50-year Wall Street veteran Marc Chaikin for his surprisingly accurate stock predictions. And he just issued an urgent WARNING for some of the most popular stocks in U.S. history. He says, "If you're watching tech stocks shoot higher and thinking how long can this possibly go on - there's something you need to see." After nearly half a century on Wall Street, having worked alongside financial legends like Paul Tudor Jones, Michael Steinhardt, and Steve Cohen - Marc has attracted an international following for his eerily prescient stock alerts - especially in the tech sector. He issued TEN formal sell alerts before the tech bubble popped in 2021. And every stock he named went on to fall in price. He warned of: - Coupa Software, before it fell 82%
- Online sports-better DraftKings, before it fell 77%
- Pandemic favorite RingCentral, before it fell 88%
- Software company Fiverr, before it fell 85%
- Electric vehicle darling NIO, before it fell 74%
- And telehealth company Teladoc, before it fell 84%
Marc even called the unexpected Amazon crash, before the famous FAANG stock fell 35%. Today, he says we're on the cusp of another dramatic tech shift... And that what's happening in the AI sector specifically right now could have dramatic consequences for your wealth for years to come. It all comes back to an urgent new market prediction he just released to the public for the very first time. It has to do with the AI market - and whether we're on the brink of a dotcom-level tech bust. He says whether you're able to move your money out of the wrong stocks, and into the right stocks, will determine whether you make money this year... Or suffer devastating losses. Marc gives away all the details of his new stock warning right here, 100% free of charge. Including the name and ticker of a stock he says could actually go way UP - as a direct result of what's happening. Regards, Allison Comotto Senior Staff, Chaikin Analytics |
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