1. A generating method for generating a result transaction model, the result transaction model being utilized to evaluate the performance of a financial market of option in accordance with a plurality of indicators so as to evaluate an operation signal thereof, comprising the following steps of: (S 1 ) collecting the plurality of indicators from the financial market, each of the plurality of indicators comprising a date parameter respectively; (S 2 ) distinguishing and classifying the plurality of indicators into different groups by a neural network, each of the plurality of groups forms a transaction models respectively; (S 3 ) picking some of the transaction models from the plurality of transaction models randomly while each of the picked transaction model being in the different groups; (S 4 ) determining the date parameter for each of the plurality of indicators of the transaction models being picked in (S 3 ); (S 5 ) removing at least one transaction model from the plurality of transaction models being picked in (S 3 ) in accordance with the performance thereof; (S 6 ) picking a plurality of final transaction models from the transaction models not be removed in (S 5 ); and (S 7 ) determining a weight of each of the plurality of final transaction models in the result transaction model so as to form the result transaction model thereby, which the result transaction model being capable of being utilized to evaluate the operation signal.