Zhixin Liu - Datasea CEO, Chairman

DTSS Stock  USD 4.74  0.21  4.64%   

Insider

Zhixin Liu is CEO, Chairman of Datasea
Age 38
Address Tower B, Guorui Plaza, Beijing, China, 100176
Phone86 10 5614 5240
Webhttps://www.dataseainc.com

Zhixin Liu Latest Insider Activity

Tracking and analyzing the buying and selling activities of Zhixin Liu against Datasea stock is an integral part of due diligence when investing in Datasea. Zhixin Liu insider activity provides valuable insight into whether Datasea is net buyers or sellers over its current business cycle. Note, Datasea insiders must abide by specific rules, including filing SEC forms every time they buy or sell Datasea'sshares to prevent insider trading or benefiting illegally from material non-public information that their positions give them access to.

Datasea Management Efficiency

The company has return on total asset (ROA) of (2.4066) % which means that it has lost $2.4066 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (13.657) %, meaning that it created substantial loss on money invested by shareholders. Datasea's management efficiency ratios could be used to measure how well Datasea manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Datasea's Return On Capital Employed is comparatively stable compared to the past year. Return On Equity is likely to gain to 2.55 in 2024, despite the fact that Return On Tangible Assets are likely to grow to (6.60). At this time, Datasea's Total Assets are comparatively stable compared to the past year. Non Currrent Assets Other is likely to gain to about 52.3 K in 2024, whereas Non Current Assets Total are likely to drop slightly above 1.2 M in 2024.
Datasea currently holds 2.15 M in liabilities with Debt to Equity (D/E) ratio of 0.36, which is about average as compared to similar companies. Datasea has a current ratio of 0.58, indicating that it has a negative working capital and may not be able to pay financial obligations when due. Note, when we think about Datasea's use of debt, we should always consider it together with its cash and equity.

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Datasea Inc., together with its subsidiaries, provides smart security solutions in the Peoples Republic of China. Datasea Inc. was incorporated in 2014 and is headquartered in Beijing, the Peoples Republic of China. Datasea operates under SoftwareInfrastructure classification in the United States and is traded on NASDAQ Exchange. It employs 123 people. Datasea (DTSS) is traded on NASDAQ Exchange in USA. It is located in Tower B, Guorui Plaza, Beijing, China, 100176 and employs 53 people. Datasea is listed under Systems Software category by Fama And French industry classification.

Management Performance

Datasea Leadership Team

Elected by the shareholders, the Datasea's board of directors comprises two types of representatives: Datasea inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Datasea. The board's role is to monitor Datasea's management team and ensure that shareholders' interests are well served. Datasea's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Datasea's outside directors are responsible for providing unbiased perspectives on the board's policies.
Mingzhou Sun, Chief Officer
Pr He, Doctoral Institute
Shaojie Wang, Director Marketing
Zhixin Liu, CEO, Chairman
Chunqi Jiao, Chief Officer
Yunlai Qian, Technical Director
Bojun Song, President Institute

Datasea Stock Performance Indicators

The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Datasea a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.

Pair Trading with Datasea

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Datasea position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Datasea will appreciate offsetting losses from the drop in the long position's value.

Moving against Datasea Stock

  0.56EEFT Euronet WorldwidePairCorr
  0.52EVCM EverCommercePairCorr
The ability to find closely correlated positions to Datasea could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datasea when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Datasea - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Datasea to buy it.
The correlation of Datasea is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Datasea moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datasea moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Datasea can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Datasea Stock Analysis

When running Datasea's price analysis, check to measure Datasea's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Datasea is operating at the current time. Most of Datasea's value examination focuses on studying past and present price action to predict the probability of Datasea's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datasea's price. Additionally, you may evaluate how the addition of Datasea to your portfolios can decrease your overall portfolio volatility.