In this reflection, I explore why longevity in this business requires genuinely loving the "mundane" work—plotting charts, reading research, and tinkering with data—rather than just grinding for a paycheck. I draw parallels between my trading journey and starting Brazilian Jiu-Jitsu in my 40s: you don't have to be the most athletic or the fastest to win; you just have to love the puzzle enough to keep showing up.

Key Topics:

• The "Grind" Fallacy: Why survival is impossible if you don't actually enjoy the game itself.

• Evolution of Style: Moving away from high-stress, noisy futures trading toward longer-term swing and position trades that allow for cleaner execution.

• Technical Strategy: How I'm using AI to build custom indicators (like adapted McClellan summation indices) and focusing heavily on improving exits—learning to sell into euphoria rather than just focusing on the buy.

• 2026 Resolution: Ruthless simplification. Cutting out the "energy vampires" (short-term noise) to double down on the strategies that actually work for my personality.

In this episode, I talk about the discipline of "getting centered"—why nothing good ever comes from FOMO or fear, and how I train myself to sit on my hands until the setup is perfect. I break down my recent long positions in Chinese equities (betting on the sentiment pendulum swinging back) and why I am seeing massive opportunities in commodities like Glencore while everyone else is chasing US AI.

Key Topics:

• The Mental Game: Why I don't trade unless I'm centered and acting with "aggression and firmness" rather than anxiety.

• The China Thesis: The AI arms race and buying when the market is "uninvestable."

• Commodities: How I use custom price-action baskets to spot breakouts in hated sectors.

• Market Outlook: Why I'm waiting for better entries on US Tech/AI.

I’ve been working on a new project this week using the "Yutori Navigator" API. The original plan was to scrape Seeking Alpha articles for comment volume and upvotes to catch market sentiment, but I realized they guard their data too closely, so I switched to Reddit. I'm having much better luck there and have already found some interesting sentiment trends on stocks like Duolingo and PayPal. I'm also tracking a theory that "silence"—when the chatter suddenly stops after a big price move—might actually be a powerful turning point signal. I’m going to keep refining this to see if I can build a solid automated tracker.