Kosta Ouzas argues that market headlines and social-media noise provoke unprofitable reactions; by the time traders react the market has already priced information. He describes an algorithmic approach that ‘‘ignores the noise’’ and focuses on price-derived measures — volatility, trends, momentum, liquidity — treating price as the distilled, unbiased signal of supply and demand. The piece promotes data-anchored trading discipline over narrative-driven position changes, claiming this yields clearer signals and avoids panic-driven losses.
Chapters
Noise is the enemy of clarity, and the markets produce it in endless supply. Headlines, tweets, opinions. They're all engineered to provoke a reaction. The danger is that reaction is rarely profitable. Traders read a headline, and they jump in believing they're early. But the truth is, by the time that you see the news, the market has already priced it in. Price is the distilled reaction of millions of participants, factoring every piece of information available instantly. Our algorithm cuts through the noise by ignoring it completely. It doesn't care about why the market moves. It cares about how he moves. It measures volatility, trends, momentum, liquidity. It sees only the raw truth of supply and demand, not the narrative wrapped around it. This allows it to operate without bias, without chasing hype, without panicking over temporary swings. Most traders get trapped in the noise, flipping their positions to match the latest story. We prefer to stay anchored in the data that matters, the movement itself. Because when you remove the noise, all that's left is the signal. And in trading, the signal is the only thing worth following.
