Deep network intelligent investment system data analysis method integrating attention mechanism

Abstract

The invention discloses a deep network intelligent investment system data analysis method integrating an attention mechanism. The method includes the following steps that: step 1, financial fields called by a sufficient quantity of local devices are obtained from a financial website and a stock database, the financial fields are filtered and integrated, so that a field X can be obtained; step 2, the field X is inputted into an encoder module, wherein the encoder module is composed of a long-term and short-term memory network, and encodes the X; step 3, an encoded field X vector obtains an attention allocation probability distribution value within a probability distribution value interval through an attention allocation module; step 4, the long-term and short-term memory network in the decoder generates price predictions on the basis of a field code containing attention probability distribution and historical information that has been generated before; step 5, a trained deep network outputs the prediction result of a certain trading day, and compares the prediction result of the trading day with a set threshold value, and the risks of financial products are determined; and step 6, appropriate financial products are screened according to user funds, and an optimal investment portfolio is configured.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a data analysis method for a deep network intelligent investment system fused with an attention mechanism. Background technique [0002] Since the establishment of the stock exchange in 1991, China's financial market has achieved considerable development, and the scale of stock transactions has continued to expand. Stock prices and the purchase of various funds have become concerns for the vast majority of Chinese citizens, and are also a subject of economics and system science research. Hot Issues. Research on financial market forecasting is of great significance to my country's economic development. [0003] Financial product (stock, fund) forecasting is a branch of economic forecasting, which refers to the use of scientific methods to analyze various financial products based on accurate survey statistics and market information, starting from the his...

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Problems solved by technology

[0006] The purpose of the present invention is to propose a deep network intelligent investment system data analysis method that integrates the attention mechanism to increase the efficiency of the algorithm in view of the problem that the above-mentioned algorithm is based on a single basis and the risk of investment evaluation is high so that the investor's investment is not accurate and rational. Accuracy makes investment rational and reduces investment risk

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