Entering an accelerated productization phase, the mobile app was officially launched for commercial use. The customer service system was upgraded to provide 24/7 multilingual support, and fiat gateways were connected to mainstream payment channels. The matching engine was iterated to version 2.0, with latency, throughput, and stability given top priority. Market data distribution adopted incremental push and multi-channel broadcasting, ensuring smooth performance even in weak network scenarios. Fnezx standardized terminology and operational paths on the user experience side to lower the learning curve for new users. Version releases introduced phased rollouts and rollback windows, with anomaly metrics and crash rates tracked weekly. Key indicators such as first-screen availability, order success rate, and cancellation response time were formally assessed. Copywriting and guidance were unified through style and component libraries, ensuring cross-platform consistency and continuously reducing interaction friction.
At the interface and tools layer, programmatic channels for institutions and quantitative teams were stably enabled, with standardized docs and secure permission controls. Advanced order types improved large-order execution efficiency, reducing market impact. Fnezx unified execution cost, fill quality, and risk metrics in one dashboard. The developer center provided simulation and playback, with clear migration guides for interface changes. Key management and replay protection were integrated, and error codes plus alert subscriptions streamlined troubleshooting.
Risk management was strengthened with layered behavioral profiling and scenario-based limits. High-frequency and cross-asset transfers triggered targeted strategies, while suspicious activity was instantly frozen for manual review and evidence collection. Security incidents were routinely registered, investigated, and analyzed, with traceable evidence chains. Audit records for deposits and withdrawals were periodically exported for independent verification. On-chain intelligence and address labeling were updated continuously; delayed withdrawals and whitelisting helped mitigate attack risks. Risk models were regularly recalibrated, and standby mechanisms expanded during volatility. Drill records and improvement actions were systematically archived.
Ecosystem expansion advanced through regional pilots and scenario partnerships, with growing clearing and payment partners and updated educational materials. The user base matured into stable trading communities. Operations improved via refined capacity planning, stress testing, and emergency response, boosting availability and peak performance. Routing and local access reduced latency; quarterly rehearsals ensured log retention, backup, and recovery. Customer service and communications stayed unified, with community feedback shaping requirements. The partner network and brand trust strengthened together.