#链上应用与预测市场 Crypto.com is openly recruiting quantitative traders for prediction markets, in simple terms, it's about market-making teams trading against clients. The goal is "maximizing profits"—this logic is very familiar.

Prediction markets are indeed heating up now, and large institutions are starting to participate directly, not just watching for fun. This gives me an idea: if platform providers are all deploying prediction market trading teams, it indicates that there is genuine trading depth and opportunity in this area. Traders who perform steadily in such markets are even more worth paying attention to.

Isn't the core of copy trading just following those who can manage risk well in the face of structural opportunities? Prediction markets are characterized by obvious event-driven dynamics and relatively controllable variables. Active traders in these markets tend to have clear logic and decisive stop-loss strategies. Recently, I’ve been observing several accounts with stable returns on sports prediction contracts; their betting patterns and capital management methods are worth studying—not gamblers with an all-in mentality, but true risk layering.

Institutions are competing for talent, retail traders are competing for returns. In this time window, finding reliable copy trading counterparts will become increasingly difficult, and competition will intensify. As always, looking at profit screenshots is less useful than examining drawdown data and stop-loss execution capabilities.