OKX announces the launch of “Smart Sync,” an upgrade for its copy trading system, enhancing user experience with spot and futures markets globally in September 2025.
This advancement signifies OKX’s commitment to automated trading leadership, expecting increased trading activity without impacting on-chain metrics. Market reactions remain steady amidst the platform’s consistent innovation.
OKX has announced new upgrades to its copy trading ecosystem, with a significant release of the “Smart Sync” feature. This upgrade is part of broader improvements to facilitate enhanced user experiences.
The feature is spearheaded by Lennix Lai, who has emphasized the aim to simplify copy trading while enhancing security for various trader levels. These enhancements are designed to accommodate different risk preferences. “Our new feature simplifies the copy trading experience and enhances risk management. This latest upgrade to our Copy Trading ecosystem introduces a new mode that caters to a diverse group of copy traders, all with different levels of risk and parameter preferences.” — Lennix Lai, Global Chief Commercial Officer, OKX.
Traders Show Optimism Toward Latest Feature Updates
Traders have mainly greeted the development with optimism, anticipating more efficient and secure trading experiences. The copy trading feature refinement aligns with ongoing improvement efforts in automated trading.
The upgrade’s introduction might affect trading volumes positively, leveraging the platform’s prior success with similar features. Historical enhancements have shown that such efforts can spur increased usage and engagement.
Expert Insights on “Smart Sync” and Market Evolution
Past events, like the 2023 launch of Spot Copy Trading, hailed similar upgrades in trader experience and market engagement. The “Smart Sync” mode represents an evolution rather than a complete transformation.
Experts from Kanalcoin suggest that the continued focus on refined trading modes is likely to bolster OKX’s competitive edge. They infer this from analyzing historical data and alignment with previous successful implementations.
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