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@ProsperTradingAcademy's Mike Shorr turns to three trades he thinks investors have off their radars that are worthwhile in a tariff-induced environment. He talks about Lamb Weston's (LW) tariff-resistance play and how investors can "bottom pick" Ambarella (AMBA) and Skechers (SKX).
The Trump administration's "Liberation Day" tariffs on most of America's trading partners recently deflated many of the market's hottest artificial intelligence (AI) stocks. While the AI market should keep growing, higher tariffs could force many companies to rein in their spending on those expensive projects until the macro environment stabilizes.
Ambarella today announced during the ISC West security expo that it is continuing to push the envelope for what is possible with generative AI at the edge.
Ambarella (AMBA) reported earnings 30 days ago. What's next for the stock?
Ambarella (AMBA) has seen solid earnings estimate revision activity over the past month, and belongs to a strong industry as well.
Ambarella (AMBA 1.45%) stock has been in red-hot form on the market since the second half of 2024, but its healthy rally came to an abrupt halt following the release of its fiscal 2025 fourth-quarter results (for the three months ended Jan. 31) on Feb. 26.
AMBA's Q4 results benefit from momentum in the IoT and auto business segments, complemented by the continuous launch of innovative products.
Ambarella (AMBA) came out with quarterly earnings of $0.11 per share, beating the Zacks Consensus Estimate of a loss of $0.01 per share. This compares to loss of $0.24 per share a year ago.
Ambarella (AMBA -2.01%) may not be a household name in the artificial intelligence (AI) semiconductor market, where Nvidia has established a dominant position for itself thanks to its powerful data center graphics cards.
Many investors gravitate toward Nvidia as their top artificial intelligence (AI) stock. After all, it's the world's leading producer of data center GPUs for processing complex AI tasks, and most of the world's leading AI software companies need to keep accumulating more of its chips to support their growing AI applications.