Digipath Stock Z Score
| DIGP Stock | USD 0.03 0.0001 0.30% |
Digipath |
Digipath Company Z Score Analysis
Digipath's 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..
Current Digipath Z Score | -11.1 |
Most of Digipath's 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, Digipath is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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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.
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According to the company's disclosures, Digipath has a Z Score of -11.1. This is 264.44% lower than that of the Health Care Providers & Services sector and notably lower than that of the Health Care industry. The z score for all United States stocks is notably higher than that of the company.
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Digipath Fundamentals
| Return On Equity | -7.33 | |||
| Return On Asset | -0.39 | |||
| Profit Margin | (0.76) % | |||
| Operating Margin | (0.38) % | |||
| Current Valuation | 3.65 M | |||
| Shares Outstanding | 75.15 M | |||
| Shares Owned By Insiders | 8.68 % | |||
| Price To Earning | (3.70) X | |||
| Price To Book | 11.43 X | |||
| Price To Sales | 0.20 X | |||
| Revenue | 2.7 M | |||
| Gross Profit | 1.07 M | |||
| EBITDA | (1.59 M) | |||
| Net Income | (2.06 M) | |||
| Cash And Equivalents | 250.37 K | |||
| Total Debt | 565.43 K | |||
| Debt To Equity | 9.56 % | |||
| Current Ratio | 0.34 X | |||
| Book Value Per Share | (0.04) X | |||
| Cash Flow From Operations | (184.79 K) | |||
| Earnings Per Share | (0.01) X | |||
| Number Of Employees | 17 | |||
| Beta | 1.11 | |||
| Market Capitalization | 465.91 K | |||
| Total Asset | 1.34 M | |||
| Retained Earnings | (10.01 M) | |||
| Working Capital | 145 K | |||
| Current Asset | 251 K | |||
| Current Liabilities | 106 K | |||
| Z Score | -11.1 | |||
| Net Asset | 1.34 M |
About Digipath Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Digipath's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Digipath using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Digipath 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.
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 Digipath 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, Digipath's short interest history, or implied volatility extrapolated from Digipath options trading.
Pair Trading with Digipath
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 Digipath 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 Digipath will appreciate offsetting losses from the drop in the long position's value.Moving against Digipath Pink Sheet
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The ability to find closely correlated positions to Digipath could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digipath 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 Digipath - 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 Digipath to buy it.
The correlation of Digipath 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 Digipath moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digipath 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 Digipath 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Digipath. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. Note that the Digipath information on this page should be used as a complementary analysis to other Digipath's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Complementary Tools for Digipath Pink Sheet analysis
When running Digipath's price analysis, check to measure Digipath'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 Digipath is operating at the current time. Most of Digipath's value examination focuses on studying past and present price action to predict the probability of Digipath's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digipath's price. Additionally, you may evaluate how the addition of Digipath to your portfolios can decrease your overall portfolio volatility.
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