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Key Concepts

• Bearish Market Sentiment: A prevailing cautious and slightly bearish outlook on the overall market, despite some indices reaching all-time highs.
• Technical Analysis Focus: Heavy reliance on technical analysis tools (chart patterns, moving averages, VWAP, imbalances) for identifying trading opportunities.
• Earnings Season Preparation: Detailed preview and analysis of upcoming earnings reports as potential catalysts for significant price movements.
• Short-Term Trading Strategies: Active management of short positions and exploitation of intraday price fluctuations, particularly using imbalance data.
• Risk Management: Consistent emphasis on setting stop-loss orders and managing position size to protect capital.

Market Overview & Initial Sentiment (December 2nd, 2024)

The market presented a mixed picture on December 2nd, 2024, with the Dow Jones reaching an all-time high while the NASDAQ declined approximately 2%. Overall market sentiment was described as cautious, leaning bearish, and characterized as a “chopfest” due to low volatility. A general skepticism regarding high valuations, particularly in the tech sector, suggested a potential correction was warranted. The speakers expressed a preference for “riding the bears, not the bulls,” anticipating further downside.

Individual Stock Analysis & Trade Setups (Part 1)

Several stocks were analyzed in detail. Salesforce (CRM) was highlighted as a cautionary tale, down 47% year-over-year despite not having “horrible” earnings, with layoffs failing to stabilize the stock. A potential “head and shoulders” pattern was identified, with a neckline breakdown around 220-230, mirroring observations from Michael Burry. Palantir (PLTR) was down 25-30% from its recent high, and while a buy rating from Diawa Securities with a $180 target was noted, caution was advised regarding the potential failure of the identified head and shoulders pattern. Microsoft (MSFT) traded at a PE ratio of 25. Tesla (TSLA) was discussed, with an unconfirmed report of the Semi-Truck priced at $290,000 with 500 miles of range. Amazon (AMZN) was also considered for potential short positions. Other stocks mentioned included Rivian (RIVN), IONQ, SMR, and ZSL. Initial trade setups included short positions in IBIT (iShares Biotechnology ETF) and TQQ (ProShares UltraPro QQQ), a re-entered long position in PayPal (PYPL) after a trend break, and potential shorts in PLTR and AMZN.

Real-Time Trading & Earnings Watch (Part 2 & 3)

The trading session focused on actively managing existing positions and identifying new opportunities based on intraday price action and imbalance data. Short positions were held in Boeing (BA) and IBIT, with adjustments made based on market movements. A long position in Bitcoin was also maintained, with analysis focused on potential shakeouts. Upcoming earnings reports for Upstart, Lift, Astera Labs, Ford, Rivian, Clavio, Cloudflare, Edward’s Life Sciences, Mattel, Gilead, Coke, Spotify, and Oscar were highlighted, with a dedicated earnings watch session planned.

The trader heavily utilized an “imbalance locator” to identify large buy or sell orders, anticipating potential breakouts or breakdowns. Significant imbalances were observed in stocks like NCL, ZSL, SNAP, Fizer, BMY, Oscar, THS (Tesla), and NCH (Norwegian Cruise Line). The importance of volume and order flow was emphasized, alongside key technical levels like VWAP and moving averages (20, 50, 200-day).

Guest Brian Shannon (Alpha Trends) contributed insights on Bitcoin, QQQ, Palantir, and Fizer, emphasizing the importance of listening to price action and avoiding chasing momentum. He cautioned against overhyped stocks like HIMS (which experienced a significant decline following a negative Super Bowl commercial) and advocated for fundamentally sound companies like Johnson & Johnson (JNJ).

Specific Trade Examples & Lessons Learned

Successful trades included a profit from a short position in Boeing (BA). A failed silver (ZSL) trade highlighted the importance of adhering to a pre-defined plan. The trader demonstrated a willingness to adapt strategies based on real-time data, as seen with Tesla (TSLA), where an initial anticipated downside move based on a large sell imbalance did not fully materialize.

Focus on Robinhood (HOOD) Earnings

A significant portion of the session was dedicated to preparing for Robinhood’s (HOOD) earnings report. The trader focused on understanding the impact of crypto trading volume, Trump-related account activity, and overall user growth on the company’s revenue. The implied earnings move was estimated at 10%.

Conclusion

The session underscored a cautious and bearish market outlook, emphasizing the importance of technical analysis, risk management, and adaptability in short-term trading. The trader demonstrated a disciplined approach to identifying and exploiting trading opportunities, utilizing imbalance data and carefully monitoring earnings releases. The overall takeaway is that successful trading requires patience, a focus on fundamentals, and a willingness to adjust strategies based on real-time market conditions. The “year of magical investing” was considered over, signaling a return to more challenging and nuanced market dynamics.