According to @StockMKTNewz, citing Bloomberg, every S&P 500 technology company faced at least one AI question on their quarterly earnings call except Garmin and NXP Semiconductors (NXPI), underscoring the near-universal investor focus on AI in tech guidance and Q&A [source: @StockMKTNewz; Bloomberg]. For equity traders, this dataset highlights AI commentary as a key variable to monitor in post-call reactions and narrative positioning across semiconductors, software, and hardware, per the Bloomberg summary referenced by @StockMKTNewz [source: @StockMKTNewz; Bloomberg]. For crypto markets, the broad AI focus in equities can serve as a sentiment cue that traders track during earnings-heavy weeks when AI narratives influence cross-asset risk appetite, based on the Bloomberg-covered snapshot shared by @StockMKTNewz [source: @StockMKTNewz; Bloomberg].

According to @KobeissiLetter, the S&P 500 has gone 37 sessions without a 1 percent daily drop, the longest run in a year, with the prior five-year high at 53 sessions, and 108 sessions without a 2 percent drop, the longest since July 2024 per Bloomberg, marking the second-longest calm since before the 2020 crash despite two red closes (source: @KobeissiLetter; source: Bloomberg). For market risk gauges, VIX is widely used to track implied S&P 500 volatility and is monitored for shifts in risk sentiment during such low-realized-volatility streaks (source: Cboe Global Markets). For crypto spillovers, the IMF has documented that BTC and U.S. equities became more correlated after 2020 and that volatility spillovers intensified during stress episodes, making equity volatility regimes relevant for digital assets (source: IMF). Kaiko has reported that BTC–equity correlations reached multi-year lows at times in 2024, highlighting regime variability that traders consider when assessing BTC and ETH sensitivity to equity volatility changes (source: Kaiko).