Let’s say you’re handed a puzzle box with millions of tiny, shifting pieces. Some are labeled “market trends,” others “human psychology,” and a few just scream “chaos.” For decades, Wall Street’s sharpest minds tried to solve this puzzle using financial theory, gut instincts, and spreadsheets thicker than a phonebook. Then came Feng Ji, a computer scientist with no finance background, who looked at the box and said, “Why not teach it to solve itself?” The Algorithmic Takeover: Why Traditional Quant Funds Face Extinction Feng’s company, Baiont, isn’t your typical hedge fund. Imagine a team of 30 people - mostly twentysomethings with gold medals from coding competitions - managing $970 million without ever touching a stock report . They don’t care about quarterly earnings calls, CEO resignations, or whether Elon Musk tweets about dogecoin at 3 a.m. Instead, they’ve built an AI that treats financial markets like a giant game of whack-a-mole : predict where prices pop up next, then...
