$Beyond Meat, Inc.(BYND)$  There isn't any short squeeze yet but might close the position incase there isnt any. Seems like it is going by pure hype. Whats the good amount to take profit at?

$Tesla Motors(TSLA)$   Just for mission. Take profit in memory not on paper as always

$NIO Inc.(NIO)$  Taking small profit soon and probably regret later when US market opens  The usual. Else take profit in memory versus actual profit.

$Beyond Meat, Inc.(BYND)$  Nice run up out of a sudden

$Beyond Meat, Inc.(BYND)$ Hitting the golden $2 , could we see $3 once open? Wonder if there is any other catalyst or news 

$Beyond Meat, Inc.(BYND)$   Can we maybe see $3 once market starts? Pump it up

$Beyond Meat, Inc.(BYND)$  Could it replicate $GameStop(GME)$  or it could get stopped right away after market reopens?

$Apple(AAPL)$  After release of iPhone 17 earnings would it be feasible to capture the profit  after holding it for few years?

AMD's Potential: The 6% jump in AMD stock is a solid reaction to the positive regulatory development, but the real test will be the continued geopolitical dynamics and whether they can hold onto this momentum. AMD has been making strides, but Nvidia's dominance in the AI space is hard to match. Still, AMD has a strong position in the data center and gaming industries, so there’s room for growth. Broadcom's Position: Broadcom is stepping up with the Tomahawk Ultra chip, and this is a solid move to diversify away from Nvidia's grip. While Nvidia is undeniably strong in the AI market, Broadcom has a history of innovation and strong partnerships. If Broadcom can successfully carve out a niche in AI, it could see significant upside. Chip Stock Rally: The rally is primarily driven by AI optimism

$Tesla Motors(TSLA)$   Grok-4’s launch is a bold step by Elon Musk’s xAI and could become a powerful asset for Tesla — but whether it becomes *the* AI weapon depends on execution and real-world performance. 🚗 Integration into Tesla: - If Grok-4 is embedded in Tesla vehicles, it could enhance *voice interaction*, *navigation*, *driver support*, and even *customer service*. - However, real-time, car-based large model performance is *unproven at scale*, especially under safety and latency constraints. 🧠 “PhD-level” Claims: - Grok-4 outperforming PhDs on academic questions is ambitious. - In reality, LLMs can *mimic* expert-level answers, but true discipline mastery also requires reasoning and real-world context, w