đź”´LIVE: Tesla ($TSLA), Microsoft ($MSFT) & Meta ($META) Earnings & Market Reaction | Jan 28

TraderTV LiveAbout 5 min readJan 30, 2026Watch original
THE SUMMARYAI-generated

Key Concepts

  • FOMC & Market Reaction: The primary driver of market activity was the Federal Reserve’s (FOMC) meeting and subsequent press conference by Jerome Powell, with traders analyzing his tone for signals of future rate policy (hawkish vs. dovish pause).
  • Earnings Season Impact: Major earnings reports from Microsoft, Meta, and Tesla significantly influenced market direction, often overriding fundamental data with sentiment-driven reactions.
  • Technical Analysis as a Core Strategy: The team heavily relied on technical analysis – VWAP, moving averages, pivot points, chart patterns – to identify trading opportunities and manage risk.
  • AI & Productivity’s Growing Influence: The potential impact of AI on productivity, inflation, and economic growth was a recurring theme, acknowledged by the Fed and influencing investment decisions.
  • Volatility & Risk Management: The team consistently emphasized the potential for market volatility and the importance of careful risk management, particularly around key events like earnings releases and FOMC announcements.

Pre-FOMC Market Analysis & Setup (Part 1)

Leading up to the Federal Open Market Committee (FOMC) meeting, the market was anticipating a 98.9-99% probability of no rate change. The focus was on deciphering the tone of Jerome Powell’s remarks at 2:30 PM EST – whether a “hawkish pause” (signaling potential future rate hikes) or a “dovish pause” (suggesting a willingness to hold or cut rates). The “dot plot” (FOMC members’ interest rate projections) was also highlighted as a crucial element. Market sentiment was described as “green but sliding to the downside,” anticipating potential whipsaw action.

Specific stocks discussed included Texas Instruments (TXN), which was on a six-day upward streak approaching a weekly pivot high of $220, despite the trend towards smaller nanometer chips. Successful trades in Starbucks (SBUX) were noted. Caution was advised regarding Carvana (CVNA), a heavily shorted stock with a potential for a “dead cat bounce” after past price targets of $1 and $480. Intraday trading opportunities were identified in Silver (SLV) and Gold, anticipating reactions to the FOMC announcement and dollar movements, with a short position initiated on SLV at the 50-period moving average. Spotify (SPOT) was briefly mentioned following news of $11 billion in payouts to the music industry (30% of recording industry revenue), coinciding with a stock price drop. Warner Brothers Discovery (WBD) saw a successful trend reversion trade, and Intel (INTC) surged 10% following earnings, boosted by US government and Nvidia investment.

FOMC Press Conference & Immediate Reactions (Part 2)

The FOMC press conference revealed that the Fed maintained the current federal funds rate range (3.5-3.75%) and emphasized a data-dependent approach to future decisions. Powell stated hiking rates was not their base case, acknowledging easing inflation but noting it remained above the 2% target. Concerns were raised about a potential “data mirage” in the labor market and the accuracy of recent job numbers. Powell also addressed the importance of Fed independence.

The market reacted in real-time, with traders actively monitoring gold, silver, NASDAQ, and the dollar. Specific trades included continued shorting of Warner Brothers Discovery (WBD) at $29, VWAP-based trading in StubHub and the NASDAQ, and analysis of Intel’s 12% rally. KXIND, a volatile stock with a high short float, was flagged as a potential upside risk. The team highlighted the importance of identifying trend reversions and utilizing VWAP as key levels for entry and exit points.

Fed Model Defense, Tariff Tracking & Earnings Preview (Part 3)

A key discussion revolved around defending the Fed’s economic models against criticisms that they are backward-looking. Nicole Goodkind asserted that the FOMC already incorporates forward-looking factors like AI-driven productivity increases into their quarterly economic forecasts. The Fed actively tracks the impact of tariffs in real-time, building models to analyze their effects on pricing and adjusting forecasts accordingly.

The segment also previewed upcoming earnings reports from Microsoft, Meta, Tesla, IBM, Lamb Research, and others. Case studies included the pandemic and trade wars as examples of unforeseen events that existing models couldn’t predict, and ASML’s unexpected downside move despite a positive report. A short report alleging accounting issues at Carvana (CVNA) was analyzed, and the potential for a short squeeze was considered.

Post-Earnings Reactions & Trading Strategies (Part 4)

Following market close, earnings reports from Microsoft, Meta, and Tesla drove significant market movements. Microsoft (MSFT) experienced a downside move despite beating revenue and EPS expectations, due to stagnant growth in most segments, particularly a flat Azure growth rate. Meta (META) surged despite announcing a massive $115-135 billion capex spend for 2026, demonstrating a market tolerance for growth narratives. Tesla (TSLA) reported a narrow beat on both revenue and EPS, with updates on Robo Taxis and Optimus, but the reaction was more muted.

IBM (IBM) saw a substantial increase following its earnings report, while Nvidia (NVDA) was positioned to benefit from Meta’s increased AI spending. Las Vegas Sands (LVS) experienced a decline. The team discussed potential trading strategies based on these reactions, emphasizing the importance of analyzing key metrics, comparing them to estimates, and anticipating future catalysts. The influence of Elon Musk and his companies was also noted.

Conclusion

The day’s trading was heavily influenced by the FOMC meeting and subsequent earnings releases, demonstrating the interplay between central bank policy, economic data, and market sentiment. The team’s consistent reliance on technical analysis, combined with a cautious approach to risk management, proved crucial in navigating the volatile market conditions. The growing importance of AI and productivity, as acknowledged by the Fed and reflected in Meta’s capex plans, signals a potential shift in the economic landscape and investment priorities. Ultimately, the session underscored the dynamic nature of financial markets and the need for adaptability and informed decision-making.

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