All Things Mobile Stock Market Value
| ATMH Stock | USD 0.05 0.01 18.33% |
| Symbol | All |
All Things 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to All Things' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of All Things.
| 12/12/2024 |
| 03/12/2025 |
If you would invest 0.00 in All Things on December 12, 2024 and sell it all today you would earn a total of 0.00 from holding All Things Mobile or generate 0.0% return on investment in All Things over 90 days. All Things Mobile Analytic Inc. operates as a healthcare technology company More
All Things Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure All Things' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess All Things Mobile upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0) | |||
| Maximum Drawdown | 41.73 | |||
| Value At Risk | (11.61) | |||
| Potential Upside | 9.21 |
All Things Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for All Things' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as All Things' standard deviation. In reality, there are many statistical measures that can use All Things historical prices to predict the future All Things' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | 0.8936 | |||
| Treynor Ratio | 0.2211 |
All Things Mobile Backtested Returns
All Things is out of control at the moment. All Things Mobile secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the company had a close to zero % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for All Things Mobile, which you can use to evaluate the volatility of the firm. Please confirm All Things' Risk Adjusted Performance of (0.01), mean deviation of 3.35, and Standard Deviation of 6.57 to double-check if the risk estimate we provide is consistent with the expected return of 0.0098%. The firm shows a Beta (market volatility) of -0.67, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning All Things are expected to decrease at a much lower rate. During the bear market, All Things is likely to outperform the market. All Things Mobile right now shows a risk of 5.93%. Please confirm All Things Mobile total risk alpha, as well as the relationship between the kurtosis and day typical price , to decide if All Things Mobile will be following its price patterns.
Auto-correlation | 0.15 |
Insignificant predictability
All Things Mobile has insignificant predictability. Overlapping area represents the amount of predictability between All Things time series from 12th of December 2024 to 26th of January 2025 and 26th of January 2025 to 12th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of All Things Mobile price movement. The serial correlation of 0.15 indicates that less than 15.0% of current All Things price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
All Things Mobile lagged returns against current returns
Autocorrelation, which is All Things pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting All Things' pink sheet expected returns. We can calculate the autocorrelation of All Things returns to help us make a trade decision. For example, suppose you find that All Things has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
All Things regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If All Things pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if All Things pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in All Things pink sheet over time.
Current vs Lagged Prices |
| Timeline |
All Things Lagged Returns
When evaluating All Things' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of All Things pink sheet have on its future price. All Things autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, All Things autocorrelation shows the relationship between All Things pink sheet current value and its past values and can show if there is a momentum factor associated with investing in All Things Mobile.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in All Pink Sheet
All Things financial ratios help investors to determine whether All Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in All with respect to the benefits of owning All Things security.