To address the issues of insufficient coordination between market scheduling and real-time operation of wind-hybrid energy storage systems in joint markets, as well as the accelerated battery degradation caused by frequent regulation, this paper proposes a day-ahead, intraday, and real-time coordinated optimization strategy. First, the operation mechanism of the wind-hybrid energy storage systems participating in joint markets is analyzed, and a multi-timescale coordination framework is established. Second, an online rain flow counting model with a trend memory variable is established, and the equivalent battery life degradation is converted into linear constraints to be embedded in optimization decisions. Then, a coordinated optimization model is established. The day-ahead layer optimizes the bidding plans for energy and regulation capacity; the intraday layer performs rolling corrections based on updated forecasts; and the real-time layer dynamically allocates power between the battery and the supercapacitor by considering automatic generation control commands, frequency deviations, and the state-of-charge of energy storages. Case studies show that the proposed strategy can progressively transform market schedules into real-time power allocation, reduce excessive battery use, and improve the operating revenue of the wind-hybrid energy storage system participating in joint markets.