Investment prediction method and device, electronic equipment and storage medium
A forecasting method and technology for investors, applied in the field of artificial intelligence, can solve problems such as no investment advisory system, low accuracy, and failure to meet expectations, and achieve the effect of reliable financial services
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Embodiment 1
[0028] figure 1 It is a schematic flow chart of the first investment forecasting method provided by the embodiment of the present application. The method can be executed by an investment forecasting device or an electronic device. The device or electronic device can be implemented by software and / or hardware. The device or electronic device Can be integrated in any smart device with network communication function. Such as figure 1 As shown, the investment forecasting method may include the following steps:
[0029] S101. Input the historical data of each financial product to be predicted into a pre-trained forecasting model; obtain the evaluation results of each financial product to be predicted on at least two indicators through the forecasting model; wherein, the historical data includes: static data and dynamic data.
[0030] In this step, the electronic device can input the historical data of each financial product to be predicted into a pre-trained forecasting model; o...
Embodiment 2
[0035] figure 2 It is a second schematic flowchart of the investment forecasting method provided by the embodiment of the present application. Further optimization and expansion based on the above technical solution, and may be combined with each of the above optional implementation modes. Such as figure 2 As shown, the investment forecasting method may include the following steps:
[0036] S201. Input the historical data of each financial product to be predicted into the pre-trained forecasting model; input the historical data of each financial product to be predicted into the support vector machine through the forecasting model; obtain each forecasted financial product through the support vector machine The evaluation results of financial products on at least two indicators; wherein, historical data includes: static data and dynamic data.
[0037]In this step, the electronic device can input the historical data of each financial product to be predicted into the pre-trai...
Embodiment 3
[0050] Figure 4 It is the third schematic flowchart of the investment forecasting method provided by the embodiment of the present application. Further optimization and expansion based on the above technical solution, and may be combined with each of the above optional implementation modes. Such as Figure 4 As shown, the investment forecasting method may include the following steps:
[0051] S401. Obtain characteristic factor data of at least one financial product in an original data set, and divide the characteristic factor data of at least one financial product into an in-sample data set and an out-of-sample data set.
[0052] In this step, the electronic device may acquire characteristic factor data of at least one financial product in the original data set, and divide the characteristic factor data of at least one financial product into an in-sample data set and an out-of-sample data set. Specifically, all feature factor data in the data to be selected can be regarded...
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