Multi-index fusion stock investment decision-making method and system based on online learning

Abstract

The invention discloses a multi-index fusion stock investment decision-making method and system based on online learning, and the method comprises the steps: training a stock trend prediction model based on online learning, and constructing a multi-index technology analysis method; predicting a trend index of the stock price according to the stock trend prediction model, and calculating a plurality of decision-making indexes according to a multi-index technical analysis method; fusing the trend index of the stock price and the plurality of decision-making indexes to form a decision-making curve, and observing the fluctuation of the stock price; and providing decision suggestions for investors by obtaining the decision score of the to-be-decided moment in the decision curve and the change expression of the moment. On one hand, an online learning support method is utilized to train an online learning stock trend prediction model, on the other hand, a multi-index technical analysis method is utilized to combine the online learning stock trend prediction model with the multi-index technical analysis method, and multiple indexes are fused to form a final decision curve; and timely, professional and targeted decision guidance is provided for investors.

Description

technical field [0001] The present application relates to the technical field of forecasting models, and in particular to a stock investment decision-making method and system based on multi-indicator fusion of online learning. Background technique [0002] Most of the stock investment decision-making products in the current financial market use the method of technical analysis and linear regression analysis to predict the stock's rising trend and give guidance and suggestions to investors' investment decision-making behavior. [0003] Technical analysis: Technical analysis, also known as technical analysis (Technical Analysis), is a professional term for stock investment analysis. Technical analysis studies past price and volume data to predict future price movements. This type of analysis focuses on the composition of charts and formulas to capture major and minor trends and identify buy / sell opportunities by estimating the length of market cycles. Depending on the chosen...

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Problems solved by technology

[0006] Technical analysis method: Looking at the current stock analysis theory and operation strategy, there are some problems to a certain extent, such as complex operation process and poor judgment accuracy; all investors use the same expert model to invest in themselves stocks for analysis and decision-making

[0007] Linear regression analysis: the model is single, the characteristics considered are not comprehensive enough, and the predicted stock rise is not timely and accurate enough

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