The present invention discloses a predictive interpolation algorithm for a high-speed and high-precision parameter curve. The predictive interpolation algorithm comprises the following steps of S1, calculating the parameter value of each interpolation point of a parameter curve according to the Runge-Kutta method; S2, according to the constraint condition of the machining precision and the normal acceleration, adjusting the feeding speed of the interpolation point in the self-adaptive manner; S3, according to the deviation between a theoretical value and an actual value for the feeding step length, correcting parameters; S4, finding out the extreme point of the feeding speed and subjecting the curve to predictive segmentation; S5, according to the extreme point of the feeding point, sequentially subjecting each prospective interpolation interval to acceleration and deceleration control. According to the technical scheme of the invention, based on the Runge-Kutta method, interpolation parameters are calculated, so that the high-order derivation of the parameter curve is not required. Therefore, the algorithm complexity is reduced and the real-time performance of the algorithm is improved. Based on the relationship between the extreme point of the speed and the length of the interpolation interval, the feeding speed during the rough interpolation process is planned for a second time. Therefore, the fluctuation of the feeding speed is reduced, and the machining precision is improved.