Digital Turbine (Germany) Statistic Functions Linear Regression Slope

4MD Stock  EUR 1.93  0.03  1.58%   
Digital Turbine statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Digital Turbine. Digital Turbine value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Digital Turbine statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Digital Turbine price series over its benchmark or peer price series.

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.

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.
Hype
Prediction
LowEstimatedHigh
0.101.9010.78
Details
Intrinsic
Valuation
LowRealHigh
0.091.7510.63
Details

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 Digital Turbine 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, Digital Turbine's short interest history, or implied volatility extrapolated from Digital Turbine options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
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Additional Information and Resources on Investing in Digital Stock

When determining whether Digital Turbine is a strong investment it is important to analyze Digital Turbine's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Digital Turbine's future performance. For an informed investment choice regarding Digital Stock, refer to the following important reports:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Digital Turbine. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
For more detail on how to invest in Digital Stock please use our How to Invest in Digital Turbine guide.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Please note, there is a significant difference between Digital Turbine's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Turbine is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital Turbine's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.