Summary: We propose a new estimate algorithm for the parameters of a GARCH(1,1) model. This algorithm turns out to be very reliable in estimating the true parameter values of a given model. It combines quasi-maximum likelihood method, Kalman filter algorithm and the SPSA method (simultaneous perturbation stochastic approximation). Simulation results demonstrate that the algorithm is viable and promising.