A lot of people still picture prediction markets as just binary yes-or-no bets, but there's so much more depth to how they can be used. I've been working with prediction market tools differently—treating them as a layer in my broader analysis stack.

What I do is sync up three data sources in parallel: mainstream news coverage, on-chain metrics, and my own reading of price action. That hourly-to-daily perspective shift is where things get interesting. When you're bouncing between these timeframes and overlaying news sentiment against whale movements and technical patterns, you start seeing confluences that single-focus analysis would miss.

The real edge comes from not viewing any one signal in isolation. News can pump things, sure, but if on-chain data shows weak accumulation and price action is struggling at resistance, that's telling a different story. Flipping between hourly moves and daily trends keeps you from getting whipsawed by noise. This combo approach has shifted how I think about market setup and timing.