ADTMDelisted Stock USD 0.0001  0.00  0.00%
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in non-hispanic.

Adaptive Medias' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
 Z Score = Sum Of 5 Factors
More About Z Score | All Equity Analysis

### Current Adaptive Medias Z Score

-57.5
Most of Adaptive Medias' fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Adaptive Medias is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
 First Factor = 1.2 * ( Working Capital / Total Assets )
 Second Factor = 1.4 * ( Retained Earnings / Total Assets )
 Thrid Factor = 3.3 * ( EBITAD / Total Assets )
 Fouth Factor = 0.6 * ( Market Value of Equity / Total Liabilities )
 Fifth Factor = 0.99 * ( Revenue / Total Assets )
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Competition
In accordance with the company's disclosures, Adaptive Medias has a Z Score of -57.5. This is 527.51% lower than that of the Technology sector and significantly lower than that of the Softwareâ€”Application industry. The z score for all United States stocks is notably higher than that of the company.

## Adaptive Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Adaptive Medias' direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Adaptive Medias could also be used in its relative valuation, which is a method of valuing Adaptive Medias by comparing valuation metrics of similar companies.
Adaptive Medias is currently under evaluation in z score category among related companies.

 Return On Asset -0.93 Operating Margin (2.11) % Current Valuation 52.83 K Shares Outstanding 105.67 M Price to Sales 0.0001 X Revenue 4.65 M Gross Profit 762.56 K EBITDA (5.9 M) Net Income (18.13 M) Cash and Equivalents 695 Debt to Equity 0.13 % Current Ratio 0.11 X Book Value Per Share (0.27) X Cash Flow from Operations (5.67 M) Earnings Per Share (0.80) X Number of Employees 14 Beta -118.86 Market Capitalization 528 Total Asset 1.95 M Retained Earnings (63.93 M) Working Capital (8.25 M) Current Asset 995 K Current Liabilities 9.24 M Z Score -57.5 Net Asset 1.95 M

The Macroaxis Fundamental Analysis modules help investors analyze Adaptive Medias's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Adaptive Medias using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Adaptive Medias 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.
Adaptive Medias, Inc., a programmatic audience and content monetization company, provides digital video and mobile solutions for Website owners, app developers, and video publishers for optimize content through advertising. Adaptive Medias, Inc. was founded in 2007 and is headquartered in Irvine, California. Adaptive Medias operates under SoftwareApplication classification in the United States and is traded on OTC Exchange. It employs 14 people.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Adaptive Medias in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Adaptive Medias' short interest history, or implied volatility extrapolated from Adaptive Medias options trading.

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 Adaptive Medias 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 Adaptive Medias will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Adaptive Medias could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Adaptive Medias 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 Adaptive Medias - 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 Adaptive Medias to buy it.
The correlation of Adaptive Medias is a statistical measure of how it moves in relation to other equities. 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 Adaptive Medias moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Adaptive Medias 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 Adaptive Medias 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.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in non-hispanic. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.

## Other Consideration for investing in Adaptive Pink Sheet

If you are still planning to invest in Adaptive Medias check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Adaptive Medias' history and understand the potential risks before investing.
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