AMZN · Amazon.com, Inc.Amazon.com, Inc.

The author provides ratings (Strong Buy, Buy, Sell, Strong Sell) with brief explanations for each stock. Overall sentiment is mixed: bullish on names like RDDT, SNAP, AMZN, ETOR, NBIS, LTC and several others with specific catalysts; bearish on TSLA, CRCL, PLTR, BMNR, and quantum/AI hype stocks as overvalued or cult-like.

Amazon is a laggard among Mag7, down 0.32% YTD, and is a good buy as a catch-up stock.

Post presents multiple bullish theses on NBIS, AMZN, META, SNAP, RDDT, SPRB, RKLB, AMD, TSM, ASML, BTC, LTC, VIRT, with a bearish view on CRWV. Key themes: NBIS dip buy, Mag7 catchup, recovery plays, speculative SPRB, hold RKLB, AMD/OpenAI deal boosting semis, gold signaling BTC, LTC ETF, and VIRT as hedge. Risks include dilution for SPRB and minimal NVDA moat dent.

Bullish on AMZN, adding to long position via Feb 220 calls after a dip to $216.

Amazon's 25% revenue growth is solid, and a potential partnership with OpenAI could change the narrative. The negative YTD performance is unwarranted.

Started new positions in DKNG, UNH, and AMZN at discounted prices, believing they are least affected by tariffs, especially DraftKings.

The author presents a broad bullish thesis on multiple growth stocks, particularly in AI/data center buildout (neoclouds), energy, and cybersecurity, citing catalysts such as rate cuts, government reopening, and seasonal trends. Key themes include the undervaluation of certain tech stocks after corrections, the importance of TSM as a central supplier, and the potential for re-rating in sectors like nuclear and memory.

Amazon is at a good entry point around $200-$210, similar to Google before its epic rally; upcoming rate cut is a catalyst.

AMZN looks tempting due to implied volatility return potential around the rate cut.

Author presents a comprehensive trading plan for rate cut week, recommending longs in neocloud, semiconductors, and select other stocks while selling overvalued quantum, space, and crypto assets. Key macro view: market fear is an ideal entry point ahead of expected rate cut.

Post-Fed rate cut analysis provides stock ratings with explanations: Strong Buy on stablecoin, semi, and growth plays; Buy on AI infrastructure and select recovery plays; Avoid on overvalued or fundamental-less stocks.

A comprehensive set of stock ratings for 2026, focusing on recovery plays from tax-loss harvesting and sector tailwinds in AI, semiconductors, data centers, and defense, while avoiding overvalued quantum and retail names.

Personal stock ratings with detailed commentary: Strong Buy on 14 stocks (SNAP, META, MU, TSM, etc.) citing catalysts like memory supercycle, bottlenecks, and AI tailwinds. Buy on 32 stocks including COIN, SMCI, GOOGL, and several crypto and drone plays. Questionable on VELO and SKYT due to weak fundamentals. Avoid on 11 stocks (UAVS, BKKT, PLTR, etc.) due to dilution, high debt, or overvaluation. Overall bullish on AI, memory, bottlenecks, made-in-America supply chains, and defense, with a long-term view until after midterms.

The 1 million job revision signals a permanent structural shift due to AI/automation, not a slowing economy. Corporate profits will explode as companies replace human labor with AI and robotics. Investors should buy AI supply chain equities to hedge against unemployment and benefit from margin expansion.

Photonics bottleneck due to China-controlled materials and Nvidia securing EML capacity will cause supply constraints for hyperscalers META, MSFT, AMZN, GOOGL.

Bullish on multiple high-growth tech stocks including AAOI, NBIS, ARM, MRVL, SIVE, AMZN, RDDT, INTC, AMKR based on revenue ramp and long-term potential.

The post outlines a portfolio of long positions across optical, AI, semiconductors, energy, and other sectors, with specific revenue ramp projections and long-term bets.

List of 30 US stocks with brief bullish theses covering semis, AI, space, rare earths, etc.

Anthropic's latest models were likely trained on Amazon Trainium, which drove AMZN rally and is bullish for Amazon's ecosystem including MRVL and AAOI.

Amazon is underrated in robotics due to immediate practical upside from lowering opex and headcount via automation; Tesla and other general purpose robotics companies should also perform well.