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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com