Nvidia Correction now? Broadcom Gained buy moves low?
Nvidia falls deeper into correction territory, Broadcom reverses earlier gains to tick lower
PUBLISHED TUE, DEC 17 2024 5:54 AM EST
UPDATED AN HOUR AGO
Arjun Kharpal
@ARJUNKHARPAL
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Nvidia shares fell on Tuesday, as Broadcom shares also edged lower after initially rising.
Broadcom shares have rallied 40% in the last five days. In contrast, Nvidia have fallen 5%.
Despite Nvidia's recent fall, its stock is still up more than 160% for the year. Broadcom has risen more than 120% in the same time frame.
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Nvidia shares fell more than 2% Tuesday morning, as Broadcom shares reversed earlier gains to also move lower.
On Monday, Nvidia entered correction territory — broadly defined as the point when a stock falls 10% or more from an all-time high close.
Nvidia hit its closing high of $148.88 last month.
After initial rising in trading before the bell, Broadcom shares are down more than 4%.
Still, over the past five days the two names have been on diverging paths with Broadcom shares rallying 40%, while those of Nvidia have surrendered 5%.
Bullishness around Broadcom has been fueled by the company's release last week of fiscal fourth-quarter earnings that exceeded expectations and a revenue outlook for the current quarter that beat forecasts. A number of Wall Street brokers, including Goldman Sachs, have raised their price targets on Broadcom's stock recently.
Broadcom shares have risen more than 120% this year to date, while Nvidia's stock has added more than 160% over the same period.
Nvidia's graphics processing units, or GPUs, have proven extremely popular as the silicon of choice for training the huge artificial intelligence models, such as those developed by OpenAI.
Broadcom's specialty lies in custom AI chips that the company is developing for hyperscalers, which are large cloud computing companies.
"We see an opportunity over the next three years in AI," Broadcom CEO Hock Tan told investors during the company's earnings call last week. "Massive specific hyperscalers have begun their respective journeys to develop their own custom AI accelerators."
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