Recently, I’ve been researching on-chain prediction markets and noticed something interesting: football match odds can actually be broken down into various independent events for trading, such as win/loss, over/under, and whether both teams score. Some people feed win rates, draw probabilities, and other data into models to conduct probability arbitrage, generating returns that are considerably more stable than simply buying coins. Does this count as another form of quantitative trading? I think it’s quite similar to on-chain funding rate arbitrage: both exploit market pricing discrepancies. O

Built a Telegram mini-game roulette with Grok Bot, purely to test the limits of AI-generated code. I described the idea and left the rest to the model, getting a playable bot up and running in just a few minutes. This development approach dramatically lowers the barrier for creators, enabling them to build small tools without writing code. AI-assisted development will become increasingly widespread and is worth watching.

Some people always think their judgment can beat the market, and even rush to conclusions in advance. But the market is best at proving them wrong. Being wrong isn’t embarrassing; what really deserves reflection are those who rush to call trades before even finishing the data—why do they think they’re smarter than the market? Those who make it to the finish line don’t rely on having the loudest voice.