tastylive: Bootstrapping In America

In today's From Theory to Practice, Dr. Jim analyzed recent earnings reactions in Tesla and IBM, noting unusual price action where both stocks initially gapped in one direction but quickly reversed. Then, he added a downside Put Butterfly to play the surprise CPI release tomorrow morning.

Markets showed contrasting reactions to major earnings reports, with Tesla recovering from an initial post-earnings drop to trade at $434, up from lows of $413. The projected 30-point move materialized as just 4 points, creating a significant volatility crush across option chains. Meanwhile, Netflix continued sliding following its earnings report, dropping from $1250 to below $1150 despite mentions of successful content like "K-pop Demon Hunters." Management cited Brazilian tax issues affecting results. The broader market showed strength with oil surging 6% to $62, while gold and silver gained over 2%. Volatility metrics remain key, with contango suggesting potential upside despite occasional selloffs. Trade ideas included SPX iron condors exploiting elevated one-day implied volatility, short calls in Quad9 (QD) at the 40 strike for premium collection, and British pound futures exposure through micro contracts.

In this episode of From Theory to Practice, Jim Schultz discusses recent earnings trades, particularly focusing on Netflix (NFLX) and upcoming earnings for Tesla (TSLA) and IBM (IBM). He highlights a successful long put spread on Netflix that yielded a profit, emphasizing the effectiveness of at-the-money vertical spreads for earnings plays. Schultz also shares his bullish outlook on Tesla, planning to use an expected move butterfly strategy. For IBM, he opts for an out-of-the-money put spread for a downside bet. The market remains volatile, impacting various assets, including gold and silver.

Why do technical price levels matter more in FX markets than equities? Plus, an all-around glimpse into the third consecutive day of weakness in rare earth metals, nuclear energy names, and quantum computing stocks.