BEIJING, April 8,
2024 /PRNewswire/ -- WiMi Hologram Cloud Inc.
(NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram
Augmented Reality ("AR") Technology provider, today announced that
it developed a two-stage hybrid machine learning model based on
variational modal decomposition (VMD) and support vector regression
(SVR). In order to efficiently capture the dynamic information of
the market, WiMi's model of this technology employs the Boruta
algorithm for technical indicators and feature selection. This
helps in finding the most relevant subset of features, minimizing
the complexity of the model and improving its efficiency.
VMD is able to better handle noise and random fluctuations in
Bitcoin price series. By decomposing the real-valued
input signals into variational mode function (VMF), we obtain VMFs
with unique frequency ranges, which ultimately improves the
representation of price data. SVR, a core component of the machine
learning algorithms, provides powerful predictive capabilities by
capturing nonlinear relationships in the feature space of the
technical model. The hybrid input of technical indicators and the
reconstructed VFMs of the VMD allow SVR to provide a more
comprehensive understanding of market dynamics. To ensure the
relevance of the predictive model data, intraday
bitcoin price data was preprocessed and normalized.
This included converting heterogeneous time series data to
homogeneous data to eliminate differences in scale, thus making
support vectors easier to learn.
Firstly, in the first stage, the Boruta algorithm, which is an
efficient feature selection algorithm, is employed to select the
most relevant subset from various technical metrics. The purpose of
this step is to reduce the feature space and decrease the
complexity of the model while ensuring that the selected technical
indicators are maximally informative for Bitcoin price
prediction.
The VMD then decomposes the Bitcoin price series
into a set of VMFs. Each VMF has unique properties and frequency
ranges, allowing us to more accurately capture noisy signals and
random fluctuations in the price data. This step results in a
reconstructed set of variational modal functions (rVMFs), which
provide cleaner and more abstract inputs for the second stage of
modeling.
In the second stage, information from two feature sets is
aggregated to form the inputs to the SVR. These two feature sets
include features selected through technical indicators and rVMFs
generated through VMDs. This aggregation is designed to fully
utilize the statistical trends of the technical indicators and the
frequency information of the VMDs to provide a more comprehensive,
multidimensional input to SVR.
SVR is the core of the model and has the ability to capture
non-linear relationships. Accepting a mixture of inputs from both
feature sets, SVR builds a powerful predictive model by learning
from past market behavior and statistical patterns of price
movements. Since this model takes into account both technical
indicators and frequency domain information from VMDs, it provides
a more comprehensive understanding of the volatility of the
Bitcoin price.
Through two-stage hybrid modeling, WiMi combines the statistical
properties of technical indicators with the frequency domain
information of VMDs to construct a more comprehensive and powerful
forecasting model. This model demonstrates significant advantages
in dealing with market volatility, handling noise, and adapting to
rapid changes. It not only improves the accuracy of
Bitcoin price forecasts, but also provides more
actionable decision support.
As the cryptocurrency market continues to evolve
and innovate, the need for technology continues to escalate. Going
forward, WiMi will continue to deepen its market data and integrate
more emerging technologies to further enhance the performance of
its two-stage hybrid machine learning model. By planning to
introduce more advanced machine learning algorithms, augmented
learning methods, and deep learning techniques to adapt to the
dynamic changes in the market, WiMi will provide users with more
accurate and reliable Bitcoin price predictions.
In the digital asset space, WiMi's two-stage hybrid
machine-learning model marks a technology innovation. Through
in-depth research of the Bitcoin market and the
application of cutting-edge technology, it breaks the limitations
of traditional models and provides investors and traders with a
new, more reliable tool for Bitcoin price prediction.
WiMi provides an unprecedented approach to bitcoin
price prediction. The development of this model is not only an
important contribution to the field of financial technology, but
also provides investors and traders with a more reliable and
efficient decision-support tool.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud
comprehensive technical solution provider that focuses on
professional areas including holographic AR automotive HUD
software, 3D holographic pulse LiDAR, head-mounted light field
holographic equipment, holographic semiconductor, holographic cloud
software, holographic car navigation and others. Its services and
holographic AR technologies include holographic AR automotive
application, 3D holographic pulse LiDAR technology, holographic
vision semiconductor technology, holographic software development,
holographic AR advertising technology, holographic AR entertainment
technology, holographic ARSDK payment, interactive holographic
communication and other holographic AR technologies.
Safe Harbor Statements
This press release contains "forward-looking statements" within
the Private Securities Litigation Reform Act of 1995. These
forward-looking statements can be identified by terminology such as
"will," "expects," "anticipates," "future," "intends," "plans,"
"believes," "estimates," and similar statements. Statements that
are not historical facts, including statements about the Company's
beliefs and expectations, are forward-looking statements. Among
other things, the business outlook and quotations from management
in this press release and the Company's strategic and operational
plans contain forward−looking statements. The Company may also make
written or oral forward−looking statements in its periodic reports
to the US Securities and Exchange Commission ("SEC") on Forms 20−F
and 6−K, in its annual report to shareholders, in press releases,
and other written materials, and in oral statements made by its
officers, directors or employees to third parties. Forward-looking
statements involve inherent risks and uncertainties. Several
factors could cause actual results to differ materially from those
contained in any forward−looking statement, including but not
limited to the following: the Company's goals and strategies; the
Company's future business development, financial condition, and
results of operations; the expected growth of the AR holographic
industry; and the Company's expectations regarding demand for and
market acceptance of its products and services.
Further information regarding these and other risks is included
in the Company's annual report on Form 20-F and the current report
on Form 6-K and other documents filed with the SEC. All information
provided in this press release is as of the date of this press
release. The Company does not undertake any obligation to update
any forward-looking statement except as required under applicable
laws.
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SOURCE WiMi Hologram Cloud Inc.