Digital Turbine Stock Probability of Future Stock Price Finishing Over 1.47
| APPS Stock | USD 1.52 0.05 3.40% |
Digital |
Digital Turbine Target Price Odds to finish over 1.47
The tendency of Digital Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 1.47 in 90 days |
| 1.52 | 90 days | 1.47 | roughly 97.0 |
Based on a normal probability distribution, the odds of Digital Turbine to stay above $ 1.47 in 90 days from now is roughly 97.0 (This Digital Turbine probability density function shows the probability of Digital Stock to fall within a particular range of prices over 90 days) . Probability of Digital Turbine price to stay between $ 1.47 and its current price of $1.52 at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days the stock has the beta coefficient of 2.58 . This suggests as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Digital Turbine will likely underperform. Additionally Digital Turbine has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Digital Turbine Price Density |
| Price |
Predictive Modules for Digital Turbine
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digital Turbine. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Digital Turbine Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Digital Turbine is not an exception. The market had few large corrections towards the Digital Turbine's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Digital Turbine, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Digital Turbine within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -1.22 | |
β | Beta against Dow Jones | 2.58 | |
σ | Overall volatility | 0.72 | |
Ir | Information ratio | -0.12 |
Digital Turbine Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Digital Turbine for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Digital Turbine can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Digital Turbine generated a negative expected return over the last 90 days | |
| Digital Turbine has high historical volatility and very poor performance | |
| Digital Turbine may become a speculative penny stock | |
| The company reported the previous year's revenue of 544.48 M. Net Loss for the year was (420.23 M) with profit before overhead, payroll, taxes, and interest of 347.11 M. | |
| About 60.0% of the company shares are held by institutions such as insurance companies | |
| Latest headline from investing.com: Digital Turbine director Robert Deutschman buys 24,600 in stock |
Digital Turbine Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Digital Stock often depends not only on the future outlook of the current and potential Digital Turbine's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Digital Turbine's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 101 M | |
| Cash And Short Term Investments | 33.6 M |
Digital Turbine Technical Analysis
Digital Turbine's future price can be derived by breaking down and analyzing its technical indicators over time. Digital Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Digital Turbine. In general, you should focus on analyzing Digital Stock price patterns and their correlations with different microeconomic environments and drivers.
Digital Turbine Predictive Forecast Models
Digital Turbine's time-series forecasting models is one of many Digital Turbine's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Digital Turbine's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Digital Turbine
Checking the ongoing alerts about Digital Turbine for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Digital Turbine help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Digital Turbine generated a negative expected return over the last 90 days | |
| Digital Turbine has high historical volatility and very poor performance | |
| Digital Turbine may become a speculative penny stock | |
| The company reported the previous year's revenue of 544.48 M. Net Loss for the year was (420.23 M) with profit before overhead, payroll, taxes, and interest of 347.11 M. | |
| About 60.0% of the company shares are held by institutions such as insurance companies | |
| Latest headline from investing.com: Digital Turbine director Robert Deutschman buys 24,600 in stock |
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.