"New Stock Market Guru" Serenity shouted 190 times! All three AI chip stocks, considered "cogs in the machine," surged, with the highest gain reaching 19.6 times.

According to ME News, on May 26th (UTC+8), Serenity, a rising star in the small-cap tech stock market and a highly influential veteran trader on Reddit's WallStreetBets, has achieved a cumulative investment return of over 38 times since 2026. His publicly shill stocks have consistently attracted market attention, with a total of 35 publicly shill small-cap tech stocks. Only four of these stocks declined after his shill, while most recorded gains of several times or even more than ten times. Serenity highlighted three core stocks—SIVE, AAOI, and AXTI—all of which saw astonishing gains after shill, demonstrating his accurate insight into the "chokepoint" in NVIDIA's AI chip supply chain. SIVE (Sivers Semiconductors) is the stock Serenity mentioned most frequently, receiving 190 shill. Since his first public shill on March 16th, 2026, it has surged 19.6 times. This company focuses on CPO lasers and is an indispensable upstream core component supplier in the field of AI optical interconnects. AAOI (Applied Optoelectronics) was also highlighted by Serenity 123 times. When it was first shill on January 26, 2026, its stock price was $35.57, and it has since achieved a 5.10-fold increase, with a latest price of $181.49. As a leading company in the optical transceiver field, AAOI is a key "cog" in the high-speed optical modules of AI data centers. AXTI (AXT Inc.) was shill by Serenity 70 times. When it was first publicly recommended on December 26, 2025, its stock price was $15.61, and it has since surged 9.02 times, with a latest price of $140.83. This company focuses on InP substrate materials and is a leading upstream material supplier with extremely high technological barriers in the compound semiconductor industry chain. Serenity's research framework focuses on key supporting links in NVIDIA's AI chip supply chain. By deeply analyzing the indispensable "cog-in-the-machine" components in chip manufacturing and packaging, it accurately identifies key bottlenecks in the supply chain and, based on this, identifies upstream "small-cap tech stocks" with scarcity and pricing power for investment. (Source: ME)