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The way I approach this is fundamentally different. First, I break down every single trade through a risk lens—what's at stake, what's the potential loss. Then I look at sequences. Individual trades don't tell you much; you need to see how they connect, how one decision flows into another, building patterns. Over time—maybe a year or two of trading activity—these become your raw data. That's where the real analysis kicks in. I feed all this into a Monte Carlo simulator, running thousands of scenarios to stress-test my approach. What emerges? Your trading personality. The simulator reveals your risk tolerance, your edge, your weaknesses. Most traders never do this. They just accumulate wins and losses without really understanding *why* they're winning or losing. Running your history through a proper model? That's how you actually know yourself as a trader.
Monte Carlo methods can indeed reveal clues, but I think the key is whether you have the courage to face those weaknesses.
A bunch of people are dead set against admitting they're not good, insisting on blaming luck—that's the biggest problem.