Fresher Price Feeds: LeverUp Upgrades to Pyth Pro | LeverUp Podcast

LeverUp has upgraded to Pyth Pro — the institutional tier of the Pyth oracle network. We have the data to show what that means. Measured across 370 parallel samples on Monad mainnet, price staleness dropped from 1.676 seconds on Pyth Core down to 0.086 seconds on Pyth Pro. That's a roughly 19.5× improvement in measured feed freshness.This episode walks through why oracle staleness is the largest hidden cost most traders never measure, how the methodology was constructed (side-by-side sampling over a live 17-minute window), and what the specific findings mean for opens, closes, and liquidation checks. It also addresses the key consistency question: did Pyth Pro maintain its lead across all segments of the sampling window, not just on average? And the directional bias question: is Pro simply printing higher prices more often, or tracking the same market with tighter timing? The data answers both.The final section explains why Monad's low-latency execution environment is what allows the freshness improvement to actually reach traders — a fast oracle feeding a slow chain produces standard-grade execution regardless of feed tier.Figures mentioned reflect data at time of recording — check app.leverup.xyz for current rates and metrics.Links:- Trade on LeverUp: https://app.leverup.xyz- Full article: https://blog.leverup.xyz/pyth-pro-oracle-upgrade/