If we talk about the most technically challenging aspects of decentralized trading by the end of 2025, on-chain derivations are definitely the hardest part. In a market with ten-thousand-level fluctuations, if the Oracle Machine's price feed is delayed by half a second, traders are like snipers pulling the trigger while their crosshairs are still tracking a target from three seconds ago—completely off. In such an environment, high-frequency Oracle Machine solutions like APRO have long transformed from something that "can be used or not" into a core nerve essential to on-chain trading systems.

Compared to the market two years ago, it is completely a different story now. For mainstream assets like ETH and BNB, when leverage is amplified, the Fluctuation increases exponentially. The trading volume of on-chain perpetual contracts and options has long been on par with centralized exchanges. However, the problem lies in the fact that behind the prosperity hides a huge pit.

Traditional Oracle Machines are like paper newspapers sent hourly, with accurate information but arriving too late; while the high-frequency feeding price scheme represented by APRO is like a real-time beating digital pulse, always ready.

From a technical perspective, APRO truly addresses the contradiction that has troubled oracles for a long time. High precision often comes at a steep price—Gas costs soar, networks get congested, and derivation protocols fail to update prices during extreme market conditions. As a result, arbitrageurs repeatedly exploit this through "delayed arbitrage," causing the liquidation mechanism to malfunction as well. The brilliance of APRO lies in its data compression algorithm and off-chain aggregation mechanism, which achieve a remarkable balance between efficiency and cost. This is not simply stacking nodes or expanding bandwidth, but fundamentally changing the way data flows.