To put it simply, the best way to learn is to solve the real problems you encounter. Don’t bother with empty theories—just dive in and get your hands dirty!

In the past couple of days, I put together a little tool—a smart monitoring system specifically designed for prediction market players. The features aren’t flashy, but it’s extremely useful:

Let’s start with the data side. Through an API, it connects directly to a certain prediction platform and automatically grabs the 100 most actively traded contracts. Which topics are seeing a frenzy of trades? Which odds are undergoing dramatic swings? It’s all clear at a glance.

Then there’s the AI analysis part. This is the real highlight—it’s not just about piling up data, but letting the machine help you uncover patterns. Where is market sentiment headed? What signals are hidden behind abnormal volatility? The AI will break it all down for you.

The whole system isn’t actually complicated to set up—the key is that it really solves practical needs. Instead of spending every day studying fancy frameworks, it’s better to tackle the problems right in front of you. Start with small tools, build up your experience—that’s the reliable path.