WiMi Developed PBO-Based Dynamic Optimization Algorithm That Can Be Applied to Blockchain and Bitcoin Trading Strategies
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Insights
WiMi Hologram Cloud Inc.'s adoption of the PBO-DOA algorithm signifies a strategic move to enhance quantitative trading within the cryptocurrency market. The integration of this algorithm may lead to a competitive advantage by providing traders with a sophisticated tool for optimizing portfolio management. By leveraging historical data and the algorithm's ability to predict market trends, investors could potentially achieve higher returns while managing risk more effectively. The use of PBO-DOA in real-time analysis of market data could also offer a responsive approach to the highly volatile cryptocurrency market, enabling quicker strategic adjustments.
Moreover, the potential success of this algorithm may attract institutional investors seeking advanced analytical tools, potentially increasing WiMi's market share in the AR technology sector. However, the efficacy of PBO-DOA in live trading conditions remains to be seen and its impact on WiMi's financial performance will depend on market adoption and the algorithm's ability to consistently outperform traditional trading models.
The introduction of PBO-DOA by WiMi Hologram Cloud Inc. into the blockchain and bitcoin trading sphere highlights the increasing demand for data-driven investment strategies. The cryptocurrency market, known for its complexity and erratic behavior, presents a fertile ground for advanced algorithms that can navigate its intricacies. By focusing on optimizing weight allocation to maximize returns and minimize risk, WiMi may tap into the growing segment of traders who rely on quantitative methods.
As the cryptocurrency market matures, the adoption of such technologies by companies like WiMi could lead to wider acceptance and normalization of algorithmic trading among retail and institutional investors. This could, in turn, influence market dynamics, liquidity and volatility. The success of WiMi's PBO-DOA could also spur further innovation in the sector, prompting competitors to develop similar or more advanced trading tools, thereby intensifying the race for technological supremacy in financial markets.
The PBO-DOA algorithm's ability to consider the correlation and covariance matrices between assets addresses a critical aspect of portfolio management in the cryptocurrency market. Understanding these relationships is crucial due to the interconnected nature of digital assets, which often move in tandem based on broader market sentiments. The algorithm's dynamic optimization feature, which adjusts to market conditions, could prove vital in a landscape where traditional diversification strategies may not always apply.
However, it's important to note that while algorithms can significantly enhance trading strategies, they cannot eliminate market risk, particularly in the cryptocurrency space known for its unpredictability. The reliance on historical data for predictive analytics also raises questions about the algorithm's performance during unprecedented market events. Thus, while PBO-DOA may offer sophisticated modeling, traders should remain cautious and consider it as one of multiple tools in risk management and investment decision-making.
Beijing, Jan. 08, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that the probability of backtest overfitting algorithm (PBO) was used to blockchain and bitcoin trading strategies. PBO is computed based on the combinatorial symmetric cross-validation framework (CSCV) and is designed to quantify the risk of overfitting in small sample backtests. With PBO, it is possible to assess the overfitting probability of a strategy in a single backtest, thus reducing the risk of a poorly performing live model. However, relying on backtesting results alone is not enough. In order to obtain models that perform better out-of-sample, WiMi has developed a dynamic optimization algorithm based on PBO, namely the "PBO-DOA algorithm". This algorithm is important in quantitative trading because it can dynamically optimize the model's parameters to help investors build optimal portfolios.
PBO-DOA could be applied in blockchain and bitcoin trading strategies. By optimizing the weight allocation of a portfolio, the algorithm is able to maximize returns and control risk. This provides an effective tool for investors to better manage their portfolios and thus realize better investment returns. Suppose there is a portfolio that contains multiple blockchain and bitcoin-related assets such as bitcoin, ethereum, litecoin, etc. At this point, using PBO-DOA it is possible to optimize the return of the portfolio by adjusting the weights of each asset:
First, WiMi collects historical market data for each asset, including key information such as price and trading volume. Subsequently, by employing PBO-DOA, the expected return and risk of each asset are precisely calculated. The core idea of the algorithm is to fully consider the correlation and covariance matrices between assets in order to develop a reasonable asset weight allocation. It aims to find an optimal portfolio that maximizes expected return and minimizes risk. Here is an example, there are three assets: bitcoin, ethereum, and Litecoin. Using PBO-DOA, the expected return and risk of each asset can be accurately calculated and the optimal asset weight allocation can be further found. Based on the calculation results of the algorithm, the optimal weight allocation scheme can be analyzed as
The PBO-DOA is based on in-depth analysis of large amounts of transaction data and model training, which can provide more accurate predictions and decision support. By studying historical Bitcoin price and transaction data, the algorithm is able to successfully identify market trends and cycles, thus helping traders develop more effective trading strategies. In addition, through in-depth mining and analysis of blockchain data, PBO-DOA reveals hidden trading laws and patterns.
Blockchain, as an open and transparent transaction record database, provides rich data resources, and it is based on these data that PBO-DOA uncovers traders' behavioral patterns and potential market opportunities. By monitoring the data and analyzing it in real-time, the algorithm helps traders adjust their strategies in time to adapt to the dynamic changes in the market. Given the volatility of the Bitcoin market, real-time data monitoring and analysis is particularly important, and PBO-DOA's powerful real-time data analytics help traders quickly capture market dynamics and make decisions accordingly.
WiMi's PBO-DOA allows for more scientific optimization of blockchain and bitcoin trading strategies, thereby increasing portfolio returns and controlling risk. Algorithms in blockchain and bitcoin trading strategies are over-optimizing the weight allocation of portfolios, maximizing returns, and controlling risks. By considering the correlation and covariance matrices between assets, it helps investors find an optimal weight allocation scheme to construct an optimal portfolio.
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.
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Contacts
WIMI Hologram Cloud Inc.
Email: pr@wimiar.com
TEL: 010-53384913
ICR, LLC
Robin Yang
Tel: +1 (646) 975-9495
Email: wimi@icrinc.com
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