Buying SpaceX Stock? Huge IPO May Be "Exit Liquidity" as Chart Signals Sour, Warns Kevin Steuer

Key Concepts

• Technical Analysis (TA): A methodology for forecasting the direction of prices through the study of past market data, primarily price and volume.
• Algorithmic Trading: The use of computer programs to execute trades based on pre-defined instructions; estimated to drive 90% of US equity volume.
• Exit Liquidity: A market condition where institutional investors sell assets to retail investors, often during high-profile IPOs.
• Deflation ETF (BNDD): An exchange-traded fund used by institutions to hedge against or profit from deflationary pressures.
• Fibonacci Levels: A technical analysis tool used to identify potential support and resistance levels based on mathematical ratios.
• Zero-Day Expiration Options (0DTE): Options contracts that expire on the same day they are traded, contributing to market volatility and leverage.
• Asymmetric Bets: Trading strategies where the potential upside significantly outweighs the potential downside risk.

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1. Market Overview and Technical Signals

Kevin Stewart, managing partner at StockTA, highlights that despite positive market sentiment surrounding the SpaceX IPO and potential Iran peace deals, the underlying technical structures of many trades appeared weak as of Wednesday.

• Sector Sell-offs: Over the past 2–3 weeks, there has been a broad decline across multiple sectors, including crypto, tech (specifically software/IGV), gold, silver, and agricultural commodities.
• AI Infrastructure Reality Check: Stewart argues that while AI is revolutionary, the market may be overestimating the speed of infrastructure deployment. He draws a parallel to the mining industry, noting that AI/data center stocks are beginning to face similar "bingo card" hurdles: dilution, construction delays, and resource constraints.

2. Algorithmic Insights and ETF Indicators

StockTA utilizes a sophisticated algorithm with 161 million rows of code to analyze market flows.

• UUP and BNDD Signals: The algorithm identified the US Dollar ETF (UUP) and the Deflation ETF (BNDD) as top signals. Stewart notes that rising volume in a deflationary ETF is typically a defensive institutional move, signaling a potential market pullback rather than a continuation of all-time highs.
• Commodity Relationships: Stewart observes that agricultural commodity ETFs (like DBA) have acted as leading indicators for oil. He emphasizes the importance of identifying these inter-sector relationships to diversify exposure without relying on excessive leverage.

3. Macroeconomic Framework and Fed Policy

The discussion centers on the "nightmare scenario" for the Federal Reserve: a potential conflict between the need to combat inflation and political pressure to cut rates.

• The 10-Year Treasury: Stewart suggests the 10-year yield may have peaked. If energy prices (which accounted for 60% of the recent CPI jump) continue to decline, inflation may cool, potentially forcing the Fed to cut rates—not because of economic strength, but because growth is stalling.
• Oil Price Threshold: The StockTA algorithm sets the trend level for oil at $98.30. Prices below this level are considered bearish, while prices above are bullish.
• The "Peace Deal" Variable: Stewart expresses skepticism regarding the frequency of Iran peace deal announcements, suggesting they may be used as tactical tools to pump markets. He warns that the "law of diminishing returns" will eventually render these announcements ineffective.

4. Methodology and Trading Philosophy

• Tooling: StockTA aims to level the playing field for "Main Street" traders by providing institutional-grade algorithmic analysis for free.
• Risk Management: Stewart advocates for avoiding leverage and instead using ETFs to gain diversified exposure. His goal is to achieve consistent compounding rather than high-volatility gains.
• Actionable Advice: He advises traders to remain flexible, avoid holding high-risk positions over weekends due to geopolitical uncertainty, and treat the market on a day-by-day basis.

5. Notable Quotes

• "JP Morgan estimates that 90% of all US equity volume is driven by computers and algorithms." — Kevin Stewart
• "I don't want to make 50% one year and then lose 50% the next year... you want to compound your wealth over time." — Kevin Stewart
• "There's nothing more bullish than all-time highs... but when I start to get those [defensive] signals... that doesn't smell like we're going to be making an all-time high next week." — Kevin Stewart

Synthesis and Conclusion

The current market environment is characterized by high uncertainty, driven by geopolitical tensions (Iran), potential shifts in Fed policy, and the "exit liquidity" risks associated with major IPOs. The primary takeaway is that while AI remains a long-term growth story, the short-term outlook is clouded by infrastructure bottlenecks and weakening technical structures. Traders are encouraged to monitor institutional defensive signals (like BNDD) and maintain a disciplined, non-leveraged approach to navigate the next 6–8 weeks of potential market volatility.