Mobile Health Network Solutions Stock Volatility Indicators Average True Range
| MNDR Stock | 0.29 0.01 3.57% |
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The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Mobile health Network volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Mobile Health Technical Analysis Modules
Most technical analysis of Mobile Health help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Mobile from various momentum indicators to cycle indicators. When you analyze Mobile charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Price Transform | ||
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About Mobile Health Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Mobile health Network Solutions. We use our internally-developed statistical techniques to arrive at the intrinsic value of Mobile health Network Solutions based on widely used predictive technical indicators. In general, we focus on analyzing Mobile Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Mobile Health's daily price indicators and compare them against related drivers, such as volatility indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Mobile Health's intrinsic value. In addition to deriving basic predictive indicators for Mobile Health, we also check how macroeconomic factors affect Mobile Health price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 11.28 | 10.1 | 14.68 | 8.82 | Days Of Inventory On Hand | 4.14 | 5.82 | 5.24 | 7.48 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Health's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for Mobile Stock Analysis
When running Mobile Health's price analysis, check to measure Mobile Health'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 Mobile Health is operating at the current time. Most of Mobile Health's value examination focuses on studying past and present price action to predict the probability of Mobile Health's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Health's price. Additionally, you may evaluate how the addition of Mobile Health to your portfolios can decrease your overall portfolio volatility.