| DYCQ Stock | | | 10.43 0.01 0.1% |
This module uses fundamental data of DT Cloud to approximate its Piotroski F score. DT Cloud F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of DT Cloud Acquisition. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about DT Cloud financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
DT Cloud Altman Z Score,
DT Cloud Correlation,
DT Cloud Valuation, as well as analyze
DT Cloud Alpha and Beta and
DT Cloud Hype Analysis.
As of 12/15/2024,
Short and Long Term Debt Total is likely to drop to about 202.9
K. In addition to that,
Net Debt is likely to drop to about 119.6
K.
At this time, it appears that DT Cloud's Piotroski F Score is Poor. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
4.0
Piotroski F Score - Poor
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
DT Cloud Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to DT Cloud is to make sure DYCQ is not a subject of accounting manipulations and runs a healthy internal audit department. So, if DT Cloud's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if DT Cloud's financial numbers are properly reported.
DT Cloud Acquisition F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between DT Cloud's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards DT Cloud in a much-optimized way.
Click cells to compare fundamentals
About DT Cloud Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
About DT Cloud Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DT Cloud Acquisition's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DT Cloud using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of DT Cloud Acquisition based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
Pair Trading with DT Cloud
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 DT Cloud 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 DT Cloud will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to DT Cloud could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DT Cloud 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 DT Cloud - 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 DT Cloud Acquisition to buy it.
The correlation of DT Cloud 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 DT Cloud moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DT Cloud Acquisition 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 DT Cloud 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.
Additional Tools for DYCQ Stock Analysis
When running DT Cloud's price analysis, check to
measure DT Cloud'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 DT Cloud is operating at the current time. Most of DT Cloud's value examination focuses on studying past and present price action to
predict the probability of DT Cloud's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DT Cloud's price. Additionally, you may evaluate how the addition of DT Cloud to your portfolios can decrease your overall portfolio volatility.