The Oracle That Doesn’t Think but Mirrors Everyone’s talking about the “rise of artificial intelligence” in trading, algorithms replacing traders, neural networks predicting the next move, machines that seem to think. But the most extraordinary thing about machine intelligence isn’t its brilliance. It’s its astonishing ability to mirror, to absorb vast amounts of past data and recreate patterns it has already seen. A gigantic echo chamber of past realities. In other words, what we call “intelligence” in these systems is not understanding, it’s reproduction. They don’t reason; they recognize. They don’t imagine; they approximate. And yet, that ability to reflect a million past environments can feel almost magical, especially when it responds with coherence that seems human. But here’s the quiet paradox: one the industry rarely talks about: What we’re witnessing isn’t a new form of intelligence; it’s a new kind of mirror, one that reveals how little we truly understand about our ow...
Trading isn’t easy; in fact, it’s one of the most complicated ways to make money in the financial world. I know that’s not what the mainstream narrative tells you. The same narrative that warns “more than 90% of traders lose money” also sells the illusion that you’ll be part of the 10% who don’t, because deep down, we all think we’re different, smarter, faster, more capable than the crowd. But if you strip away emotion and bias and read that statistic correctly, it’s a harsh truth: you have less than a 10% probability of long-term success. That’s not pessimism; that’s probability. And probability doesn’t lie. Every day, it quietly proves that most “special” traders end up broke, not because markets are unfair, but because they misread the numbers that could have saved them. After more than 20 years in this game, I’ve noticed one thing every losing trader has in common: they ignore what’s painfully obvious. Trading is numbers in an uncertain world. Numbers mean math. Put math in an...