Financial factor generation method, electronic device and computer readable storage medium
A financial and factor technology, applied in finance, computing, data processing applications, etc., can solve problems such as the inability to meet investment decision makers, the lack of quantitative investment plans, and the conflicting needs of human resources and strategic diversification.
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Embodiment 1
[0030] A financial factor generation method is used for real-time screening of investment decision-making factors, and investment analysis is performed according to the real-time screened factors. The financial factor generation method includes the following steps:
[0031] Obtain the first data, which is one or more multiple market index values expressing the market; the market index values in this embodiment include opening price, highest price, lowest price, closing price, increase rate, amplitude, and trading volume , turnover, turnover rate, etc.
[0032] Based on the first data, a plurality of processing formulas are preset to process the plurality of market index values to obtain a plurality of expressions containing at least one market index value, and the expression is the second data;
[0033] performing fitness calculation on the second data to obtain the second data fitness corresponding to the second data;
[0034] Judging the fitness of the second data acc...
Embodiment 2
[0096] A financial factor generation method, the financial factor generation method also includes iterative processing, the iterative processing includes setting the iterative algebra, after the iterative algebra is reached, the second data fitness is judged according to the preset fitness index value, and the second data fitness is judged by the first The fitness of the second data is judged and the second data is screened out, and the second data can be used as a factor for real-time screening of investment portfolio construction.
[0097] The difference from Embodiment 1 is that in this financial factor generation method, fitness calculation is performed on the second data, including:
[0098] Sort the second data in descending or ascending order;
[0099] Screen out the largest or smallest multiple financial investment targets corresponding to the second data within the preset time period as a long portfolio;
[0100] Screen out the largest or smallest multiple financial ...
Embodiment 3
[0106] A financial factor generation method, this method is different from embodiment 1, this financial factor generation method also includes iterative processing, the iterative processing includes setting iterative algebra, after reaching the iterative algebra, carry out according to the preset fitness index value The second is to judge the fitness of the data.
[0107] The calculating the fitness of the second data includes calculating the correlation coefficient between the second data and the next day's rate of return. The next day's rate of return: the value of the rate of return of the day calculated using the market data of the next day. During the research process, the rate of return was directly calculated based on historical data. The reason for calculating the correlation coefficient is because if the second data is strongly correlated with the return rate of the next day, then it can be judged that stocks with larger factor values are more worth buying. Accord...
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