Quant Trading

I lost five years trading on instinct. Here’s what I should have understood from the start. I spent five years in crypto markets using the same method. Look at charts. Get a feeling. Place an order. Sometimes right. Sometimes wrong. Long term — always losing. It took me years to understand: it wasn’t bad luck. The method itself was unwinnable. Where Quant Trading Came From Quantitative trading isn’t new. In the 1980s, Wall Street started replacing human judgment with mathematical models. James Simons’ Medallion Fund ran from 1988 to 2018 with a 66% annualized return. Thirty years. Never a losing year. Not built on tips or instincts — built on mathematics. ...

The exchange I’ve used for years. And why it took me this long to recommend it. For a long time, I wouldn’t recommend anyone to trade crypto. Not because the market is bad. Because I was. Emotional decisions. High leverage. No system. I lost money for years — and I knew that recommending someone to join would just put them on the same path I was on. That changed when I stopped trading with instincts and started trading with algorithms. ...

Every mistake I made building an AI quant system from scratch — so you don’t have to. January 20, 2026. I started from zero. Couldn’t write a single line of code. I just knew one thing: I was done letting humanity make my trading decisions. Step 1: The Server Asked AI where to start. Chose Google Cloud, Singapore region. Bought an instance. Opened ports. Set up SSH. The first time I connected from my phone, I felt like I’d come a long way. ...

Five years of crypto losses. One decision to change everything. Bitcoin at $5,000–$6,000. I put money in. Went straight to 100x leverage. Days later, gone. I came back. In two nights, my account went from $2,000 to over $100,000. Bitcoin moving from $22k to $30k. High leverage. Perfect timing. I thought I finally understood the market. Then, over the next few days — almost all of it, gone. What followed was five years of something worse than losing everything at once. ...