Con @__Con_ 1h Everyone's selling their AI stocks here, besides me. I think we're just getting started. Here's why: C...

Micron Technology, Inc.

Directly tied to ‘AI memory demand’ claim; named as an AI name pressured by mechanical selling.

Named as an AI-related name hit by selling; less directly tied to memory demand, so lower confidence.

Lifestyle/psychology post about not over-focusing on money/returns while traveling; no specific market, macro, sector, or ticker claims. Low actionability for trading.

Non-investment, philosophical social post about money vs life while traveling; no tickers, no market view, no catalysts or tradable implications.

Post expresses a relative preference trade: betting on Coinbase ($COIN) outperforming Robinhood ($HOOD). Rationale is qualitative/behavioral (company life-cycle/psychology: underdog works hard, later gets cocky and falls behind) and a reported interaction suggesting Coinbase leadership is soliciting feedback; suggested improvements: stop “picking favorites,” list assets faster, and hire more “in the trenches” operators. Actionable mainly as a COIN>HOOD relative view; no near-term catalyst or quantified fundamentals provided.

Generic self-help/finance content claiming to beat hedge funds by leveraging a normal job; no specific assets, sectors, catalysts, or position changes mentioned. Low tradability/actionability.

Post is an article teaser claiming most hedge funds underperform the S&P 500 over 10 years and that an individual with a normal job can outperform, implying a preference for low-cost index/long-term investing and/or leveraging personal informational edge from one’s job. No specific tickers, sectors, catalysts, or timing details are provided.

Post argues the “AI trade” is not over despite broad selling in AI-related names; attributes the drawdown to mechanical institutional rebalancing rather than deteriorating fundamentals, specifically citing ongoing AI memory demand. Mentions a -60% dip in $SIVE and references $MU and $AAOI as AI names affected by selling.

Post argues generally that technical analysis (TA) works because many market participants use it (self-fulfilling). No tickers, sectors, catalysts, or tradeable company-specific implications were provided.

Speaker asserts a near-term bottom in “AI plays,” citing specific tickers hitting/retesting stated support levels and suggesting dip-buy entries (especially MU). Actionable mainly as technical-support/dip-buy setup; limited fundamental catalyst detail.