@Barcode:$Intel(INTC)$ $NVIDIA(NVDA)$  $Advanced Micro Devices(AMD)$  🔥🏭🤖 $INTC: Up 385%, Yet 77% Of Analysts Still Aren’t Bullish 🤖🏭🔥 🧠 $INTC’s rally has been extraordinary, but the most interesting part may be what hasn’t happened yet. $INTC is up +190% YTD and +385% over the last 12 months, yet 34 of 44 analysts still rate the stock Hold or worse. That disconnect matters. When price leads fundamentals, analysts often chase. When fundamentals begin improving while analysts remain sceptical, upgrades themselves can become a catalyst. 🏭 BofA just delivered a rare double-upgrade on $INTC and lifted its price target to $135 from $96, a 41% increase. The f

@koolgal:🌟🌟🌟I choose B: Electricity & Cooling as it represents the ultimate physical limitation of computing power.  An AI data centre cannot run on hype.  It runs on electricity & massive thermal power. Companies like $GE Vernova Inc.(GEV)$ & $Eaton Corp PLC(ETN)$ hold multi year monopolies on industrial transformers & electrical grid hardware.  Their backlogs are completely backed up into the 2030s.  Hyper scalers are actively buying nuclear power access just to plug into Eaton's switches. $Vertiv Holdings LLC(VRT

@Barcode:$Canadian Natural Resources(CNQ)$ $Boston Scientific(BSX)$  $Rigetti Computing(RGTI)$  🚨📉💰 Short Sellers Just Made Their Move, Which Stock Forces Them To Cover First? 💰📉🚨 Short sellers are becoming increasingly aggressive across several well-known names, but history shows that crowded trades can work both ways. I’m watching a growing divergence between bearish positioning and actual stock performance. When short interest rises while share prices remain resilient, the ingredients for a powerful squeeze can begin forming beneath the surface. 📊 The biggest increases in short interest include: • $CNQ +281% • $BSX +83% • $PTEN +82% • $MCK +82% • $CPN

@Shyon:I see Jensen Huang’s Korea trip as a strong signal that $NVIDIA(NVDA)$ growth is increasingly tied to Korean memory suppliers $CSOP Samsung Electronics Daily (2x) Leveraged Product(07747)$ $CSOP Samsung Electronics Daily (2x) Leveraged Product(07747)$ . His focus on next-gen systems like Vera Rubin & robotics platforms reinforces that AI scaling is now fundamentally constrained by HBM & advanced memory, putting Korea at the center of the supply chain. Between, I view SK hynix as

@Barcode:$Microsoft(MSFT)$ $Roundhill Magnificent Seven ETF(MAGS)$  $NVIDIA(NVDA)$  📉🌎⚡ $SPX Suffers An $824B Hit As AI Capital Begins To Rotate ⚡🌎📉 The market finally delivered a meaningful warning shot. The S&P 500 has lost more than $824B in market capitalisation today and now sits nearly -4% below the all-time highs reached on 02Jun26. What catches my attention is not the decline itself, but the changing behaviour beneath the surface. $MSFT has broken below the psychologically important $400 level for the first time since 15Apr26. Key observations: • More than $21M in short-dated single-leg puts were purchased on $MSFT today • Shares are now do

@koolgal:🌟🌟The recent selloff in the Korean market was triggered by a collision of macroeconomic events rather than the failure of tech company earnings. The immediate trigger was the robust US non farm payroll report which added an unexpected 172,000 jobs, shattering the rate cut narrative. The KOSPI is vulnerable to tech sentiment as Samsung & SK Hynix command a massive 54% weight of the index. When Wall Street underwent a tech pullback, the Korean market was also affected. The recent pullback is a healthy technical correction rather than a fundamental economic collapse. Semiconductor earnings remain fundamentally intact especially with the high demand for HBM being completely sold out. A good ETF to buy is $Roundhill Memory

@Barcode:$Apple(AAPL)$ $Tesla Motors(TSLA)$  $Palantir Technologies Inc.(PLTR)$  🚀📊🔥 Smart Money or Speculative Mania? Options Traders Make Their Choice 🔥📊🚀 Options traders are sending a clear message. While headlines remain focused on interest rates, inflation and economic uncertainty, capital continues flooding into AI, autonomy and technology leaders. The fascinating part is not where the money is flowing. It is where the money is flowing despite weakening charts, disappointing reactions and elevated valuations. 📈 Options volume remains heavily concentrated in the market’s favourite momentum names: $NVDA $TSLA $AAPL $MU $MSFT $AMZN $META $NOK $PLTR

@Shyon:I don’t think AI stocks are broadly cheap anymore, but they’re not a bubble either. The market is separating durable winners from cyclical or higher-risk names. $NVIDIA(NVDA)$ remains the key AI infrastructure leader, while $Micron Technology(MU)$ is more cyclical despite strong momentum. $Intel(INTC)$ looks harder to justify given its valuation and execution uncertainty. When I value AI stocks, I focus more on multi-year AI capex trends, demand visibility, and free cash flow quality rather than just P/E ratios. I also separate “picks-and-shovels” like $Taiwan Semiconductor Manufacturing(TSM)$ and

@koolgal:🌟Are AI stocks cheap or overpriced?  The reality is we need to differentiate between the true cash printing monopolies & the narrative plays that are priced for perfection. The AI sector is sharply divided: hardware infrastructure stocks remain relatively cheap to their explosive cash flow generation while software players have become overpriced on speculative hype. One of the best ways to value an AI company is: Forward PEG ratio -Price to Earnings to Growth. If a stock trades at 40x P/E but its earnings are growing 80% YoY, its PEG ratio is 0.5.  That is a great bargain disguised as an expensive tech play. Micron has the best Forward PEG ratio, at a remarkable 0.04 to 0.12.  PEG ratio under 1.0 is considered undervalued. Another metric of valuation is Free Cash Flow.&