Digital Turbine Stock Statistic Functions Beta
| APPS Stock | USD 5.46 0.07 1.30% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Digital Turbine correlated with the market. If Beta is less than 0 Digital Turbine generally moves in the opposite direction as compared to the market. If Digital Turbine Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Digital Turbine is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Digital Turbine is generally in the same direction as the market. If Beta > 1 Digital Turbine moves generally in the same direction as, but more than the movement of the benchmark.
Digital Turbine Technical Analysis Modules
Most technical analysis of Digital Turbine 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 Digital from various momentum indicators to cycle indicators. When you analyze Digital 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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About Digital Turbine 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 Digital Turbine. We use our internally-developed statistical techniques to arrive at the intrinsic value of Digital Turbine based on widely used predictive technical indicators. In general, we focus on analyzing Digital Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Digital Turbine's daily price indicators and compare them against related drivers, such as statistic functions 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 Digital Turbine's intrinsic value. In addition to deriving basic predictive indicators for Digital Turbine, we also check how macroeconomic factors affect Digital Turbine price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2024 | 2025 (projected) | Dividend Yield | 0.0101 | 0.00896 | Price To Sales Ratio | 0.58 | 4.27 |
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Additional Tools for Digital Stock Analysis
When running Digital Turbine's price analysis, check to measure Digital Turbine'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 Digital Turbine is operating at the current time. Most of Digital Turbine's value examination focuses on studying past and present price action to predict the probability of Digital Turbine's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Turbine's price. Additionally, you may evaluate how the addition of Digital Turbine to your portfolios can decrease your overall portfolio volatility.