PLTR& AEHR Enjoys the Uptrends in the Near Furture!

Hello everyone! Today i want to share some trading ideas with you!

1.

$Aehr Test(AEHR)$ reports after the bell & I've been pounding the table that it will be one of the biggest winners in the 'rate-cut is coming' narrative -- here is part of the deep dive that I shared with my subscribers 🧐

• Aehr Inflection Point: As the demand for more powerful chips increases without the ability to enlarge their size -- manufacturers are adopting vertical stacking techniques. Aehr's systems are crucial in this evolution, enabling simultaneous wafer-level testing and burn-in to enhance throughput and save space, which is particularly valuable for the automotive electronics sector. Aehr's high-temperature testing ovens also play a vital role in ensuring the durability of Silicon Carbide (SiC) chips in electric vehicles -- verifying their ability to withstand rigorous automotive conditions.

• Market Expansion into AI and Advanced Packaging: The introduction of co-packaged optics, high bandwidth memory, and multi-chip modules presents new challenges in semiconductor manufacturing, all of which require the advanced testing capabilities Aehr offers -- this positions Aehr to leverage its technology to expand its market reach into highly secular growth sectors like the EV, AI & Data Center industries.

What’s more , tried to warn you guys that $AEHR will be expanding to more industries than EV 👇

• Announced a $21M acquisition expanding their AI semiconductor testing solutions.

• Just reported a great received a $13M order for FOX WaferPak(TM) Full Wafer Contactors to support production of Silicon Carbide Power.

Q4 2024 Earnings

• Adjusted EPS $0.84 vs Est. $0.10

• Sales $16.6M vs Est. $15.4M

2.

LLMs will become a commodity, but only $Palantir Technologies Inc.(PLTR)$ can make sense of all the data using its ontology. Without this ontology layer, LLMs are much less useful -- Why? 👇

Ontology acts as a map of concepts and their interrelationships within a specific domain -- helping to organize information and visualize connections. Objects represent entities like factories, stores, and trucks, while actions depict interactions such as producing, purchasing, and shipping.

Consider a global supply chain network utilizing an ontology-based system to manage its operations. The ontology maps complex relationships between suppliers, manufacturers, and distribution channels, identifying bottlenecks and inefficiencies in real-time. By analyzing these interconnected elements -- the system can recommend optimizations, like rerouting shipments or adjusting inventory levels, enhancing overall efficiency and responsiveness.

Stock is up 17% after-hours 🤩

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https://x.com/stocksavvyshay

# AI Companies and Industry DIG

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