Retail investors bought record amount of Nvidia stock in DeepSeek rout
Published by Global Banking & Finance Review®
Posted on January 28, 2025
1 min readLast updated: January 27, 2026

Published by Global Banking & Finance Review®
Posted on January 28, 2025
1 min readLast updated: January 27, 2026

Retail investors bought record Nvidia stock amid DeepSeek AI concerns, causing a 17% drop in shares. Purchases hit $562.2 million.
(Reuters) - Retail investors bought a record amount of Nvidia stock on Monday after concerns over a low-cost artificial intelligence model from Chinese startup DeepSeek stripped 17% off its shares, or $593 billion from its market value.
Data from Vanda Research shows retail purchases of Nvidia shares totalled a net $562.2 million on Monday, the largest amount on records going back to 2014.
Retail investors have been continuously buying Nvidia shares over the past few years. In the last quarter, they purchased around $7.3 billion worth of shares, according to the New York-based market research and analysis firm. However, this is almost half the peak in quarterly purchases recorded in September 2024.
Global technology shares recovered some poise on Tuesday, but remained vulnerable after a rout sparked by the emergence of a low-cost Chinese AI model made investors question the sky-high valuation and dominance of AI bellwethers.
(Reporting by Danilo Masoni; Editing by Amanda Cooper)
Retail investors purchased a net $562.2 million worth of Nvidia shares on Monday, marking the largest amount on record since 2014.
In the last quarter, retail investors bought approximately $7.3 billion worth of Nvidia shares.
The decline in Nvidia's stock price was triggered by concerns over a low-cost artificial intelligence model developed by the Chinese startup DeepSeek, which caused a 17% drop in shares.
Data from Vanda Research indicates that retail investors have been consistently buying Nvidia shares over the past few years.
Global technology shares managed to recover some poise on Tuesday but remained vulnerable due to the concerns raised by the emergence of the low-cost Chinese AI model.
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