Emrys Thane

 For as long as I have worked in markets, people have been looking for a crystal ball. When they hear “AI in trading”, many imagine exactly that: a machine that finally tells them whether prices go up or down tomorrow. That fantasy is one of the most dangerous things you can bring into a live market. In my own work, and in the way I teach at VERAXIS Global Business School , AI is not treated as a fortune teller. It is closer to a risk radar: something that helps you notice what is changing around your positions before your P&L delivers the bad news. Prediction obsession versus risk awareness Most retail traders start with a prediction question: “Is this going to rally or dump?” The more time you spend in professional environments, the more that question fades into the background. The focus shifts toward things like: What regime are we in right now: trend, chop, squeeze, or outright stress? How does my portfolio behave across several different scenarios, not just th...

Investors love the idea of a perfect model. A piece of code that never sleeps, never hesitates, and somehow always finds its way to profit. In other words: a machine that finally saves us from the discomfort of risk. As someone who has spent decades across equities, ETFs, FX and digital assets – and now teaches at VERAXIS Global Business School – I can tell you this: AI can read the market for you.   It cannot carry the risk for you. --- What AI does extremely well Modern tools, including systems like Ai Synthara in our work at VERAXIS, are extraordinary at one thing: They turn chaos into structure. AI can: - Process more data than any human team could handle   - Track multiple markets, instruments and correlations in real time   - Highlight patterns and anomalies that escape the human eye   - Enforce predefined rules without getting bored, scared or greedy   This is not science fiction.   It is simply industrial-grade pattern ...

 My first million dollars in the financial markets didn't come from a single brilliant trade. It didn't come from insider information, lucky timing, or genius-level IQ. It came from making the same disciplined decision 247 times in a row. Let me take you back to 2005, when I was a freshly minted Wharton graduate who thought his finance degree made him invincible. Spoiler alert: the market had other plans. The $50,000 Lesson Three months into my first job on Wall Street, I lost $50,000 of client money on a single position. Not because I didn't understand the fundamentals. Not because I couldn't read a balance sheet. I lost it because I violated the one rule that separates professionals from gamblers: I didn't have a system. I had conviction. I had analysis. I had everything except the discipline to execute a predefined exit strategy when the trade moved against me. My ego said "it will come back." The market said "no, it won't." That los...