Trend prediction analysis method, equipment and storage medium

An analysis method and trend prediction technology, applied in data processing and financial fields, can solve problems such as complex prediction methods, inaccurate and stable, and difficult application by non-professionals, achieve stable and continuous distribution of probability, avoid delay of information, reduce The effect of probabilistic glitches

Inactive Publication Date: 2018-04-17
上海宽全智能科技有限公司
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Problems solved by technology

[0002] With the development of the financial market today, people have conducted a lot of research, including technical analysis, fundamental analysis, value investment, etc. With the development of science and technology, the trend of information revolution and traditional investment methods are well known, it will make it possible to predict the price trend of financial products More and more accurate forecasting analysis methods are needed, but the new forecasting methods will be more complicated, and it is difficult for people in non-economic and computer application technology fields

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  • Trend prediction analysis method, equipment and storage medium
  • Trend prediction analysis method, equipment and storage medium
  • Trend prediction analysis method, equipment and storage medium

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Embodiment 1

[0062] This embodiment provides a trend prediction analysis method, which is suitable for execution in the computing device. refer to figure 1 , shows the flow chart of the trend prediction analysis method of this embodiment, including the following steps:

[0063] Step 101, determine the scope, time interval and cycle of the analysis target.

[0064] In this embodiment, the target of analysis may be financial products and related financial derivatives with real-time price fluctuations such as stocks, funds, bonds, futures, and gold. All the products in the market, or all the financial products in one sector, or multiple financial products set by the user, this embodiment does not set any restrictions on the selection of the analysis target, which is determined by the user according to the needs. Specifically, it is also necessary to eliminate the targets whose trading is suspended within the time interval, so as not to interfere with the trend prediction.

[0065] Determine ...

Embodiment 2

[0079] Embodiment 2 of the present invention is regarded as an improved process of the trend forecasting analysis method described in Embodiment 1. The improved process is embodied in step 104. Other steps are the same as those in Embodiment 1 and will not be described in detail here. The difference from Embodiment 1 is that step 104 of this embodiment includes:

[0080] According to the probabilities of rising, flat and downtrends generated in each period in step 103, an uptrend probability smooth curve, a flat trend probability smooth curve and a downtrend probability smooth curve within the time interval are respectively generated. The smoothing curve algorithm uses, but is not limited to, moving average (Moving average), linear fit (linear fit), curve fitting (quadratic fit), SG filter (Savitzky-Golay) smoothing algorithm to smooth to obtain the corresponding probability smoothing curve. Smoothing the trend probability can reduce the probability glitch and make the probabi...

Embodiment 3

[0085] This embodiment provides a sector trend forecasting method, which is suitable for execution in the computing device. refer to figure 2 , shows the flow chart of the sector trend forecasting analysis method of this embodiment, including the following steps:

[0086] Step 201, determine the scope, time interval and period of the analysis block.

[0087] In this embodiment, the target of analysis can be financial products and related financial derivatives with real-time price fluctuations such as stocks, funds, bonds, futures, gold, etc., and the financial products are pre-selected by the user at the terminal. The financial products are based on the sector, and each A section contains multiple targets, and the scope of the section can be multiple sections of the above-mentioned similar financial products, which are set by the user. Specifically, before the analysis, it is necessary to eliminate the targets that have been suspended within the time interval in each sector...

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Abstract

The present invention provides a trend prediction analysis method, equipment and storage medium. The method includes: preset analysis target range, time interval and cycle; obtain preset target market data; count the trends of each cycle in the time interval The number of targets, calculate the trend probability of the corresponding period according to the number of targets of each trend in each cycle, the trend includes rising, flat, falling; generate the trend probability curve in the time interval, and predict the next cycle according to the trend probability of the current cycle Periodic trend; displays the trend probability curve over the time interval. The present invention predicts the trend of the next stage through the current trend probability, and can obtain the inflection point of trend transition at the first time, avoiding the delay of information; introducing a probability smoothing algorithm, smoothing the trend probability can reduce probability glitches, making the probability stable and continuous distribution, which can predict a period of future market more stably and provide accurate probability.

Description

technical field [0001] The present invention relates to the field of data processing, in particular, to an analysis method, device and storage medium for price trend prediction in the financial field. Background technique [0002] With the development of the financial market today, people have conducted a lot of research, including technical analysis, fundamental analysis, value investment, etc. With the development of science and technology, the trend of information revolution and traditional investment methods are well known, it will make it possible to predict the price trend of financial products More and more accurate forecasting analysis methods are needed, but the new forecasting methods will be more complicated, and it is difficult for people in non-economic and computer application fields to grasp price trends and conduct technical analysis. [0003] The existing technical indicators make it difficult for people who are not in the field of economics and computer app...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q40/06
CPCG06Q10/04G06Q40/06
Inventor 李贵
Owner 上海宽全智能科技有限公司
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