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Rapeseed oil futures price forecasting method

A futures price and prediction method technology, applied in the field of rapeseed oil futures price prediction, can solve the problems that the prediction model is not universal and not, and achieve the effect of credibility and stability

Inactive Publication Date: 2017-06-20
无锡中科富创科技孵化有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

In fact, a forecasting model is not universal, which leads to the fact that the forecasting model for a certain futures is not an optimal choice

Method used

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  • Rapeseed oil futures price forecasting method
  • Rapeseed oil futures price forecasting method
  • Rapeseed oil futures price forecasting method

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Embodiment Construction

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the implementation of the description Examples are some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0021] A kind of rapeseed oil futures price prediction method of the present invention comprises the following steps:

[0022] In step 1, the factors affecting the futures price of rapeseed oil are selected according to relevant prior knowledge. The factors affecting the futures price of rapeseed oil are mainly manifested in the followi...

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Abstract

The invention discloses a method for predicting the futures price of rapeseed oil, which relates to the technical field of data mining and price prediction. The invention comprises the following steps: selecting factors affecting the futures price of rapeseed oil according to relevant prior knowledge; collecting time series of relevant factors information to obtain the original data; process the original data to obtain the transaction behavior sequence of the relevant main contract; carry out gray correlation analysis on the original data of the main contract, and discard the influencing factors with a lower degree of correlation; divide the reserved influencing factor sequence into training set and The test set is input to the BP neural network for training steps; the trained BP neural network model is used for prediction. The invention introduces other price influencing factors except trading behavior into the rapeseed oil futures price prediction, so that the rapeseed oil futures price prediction is more credible and stable, and can make short-term predictions on the closing price of the rapeseed oil futures.

Description

technical field [0001] The invention relates to, in particular, a method for predicting the futures price of rapeseed oil. Background technique [0002] my country established the Zhengzhou Commodity Exchange in 1990 to carry out futures trading of agricultural products. After more than 20 years of development, my country's agricultural product futures market has become increasingly mature and has played an irreplaceable role in the market economy. As a kind of futures trading, the price of agricultural product futures is subject to the comprehensive effect of various factors. By studying the behavior characteristics of agricultural product futures prices and grasping the rules of futures price changes, it is helpful for managers to correctly regulate the futures market and investors to formulate correct investment strategies. , have very important theoretical and practical significance. [0003] In order to meet the price forecast of multiple futures varieties, the existi...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/02
CPCG06Q10/04G06Q10/06375G06Q30/0278G06Q30/0283G06Q50/02
Inventor 钟立扬王儒敬王伟方薇屠舒妍
Owner 无锡中科富创科技孵化有限公司
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