Digital Turbine Stock Technical Analysis
| APPS Stock | USD 4.24 0.45 9.59% |
As of the 6th of February, Digital Turbine shows the Mean Deviation of 3.58, standard deviation of 5.1, and Variance of 26.05. Digital Turbine technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Digital Turbine mean deviation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Digital Turbine is priced favorably, providing market reflects its regular price of 4.24 per share. Given that Digital Turbine has information ratio of (0.1), we urge you to verify Digital Turbine's prevailing market performance to make sure the company can sustain itself at a future point.
Digital Turbine Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Digital, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DigitalDigital Turbine's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Digital Turbine Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 8.75 | Buy | 2 | Odds |
Most Digital analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Digital stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Digital Turbine, talking to its executives and customers, or listening to Digital conference calls.
Is there potential for Application Software market expansion? Will Digital introduce new products? Factors like these will boost the valuation of Digital Turbine. If investors know Digital will grow in the future, the company's valuation will be higher. Understanding fair value requires weighing current performance against future potential. All the valuation information about Digital Turbine listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.43) | Earnings Share (0.69) | Revenue Per Share | Quarterly Revenue Growth 0.125 | Return On Assets |
The market value of Digital Turbine is measured differently than its book value, which is the value of Digital that is recorded on the company's balance sheet. Investors also form their own opinion of Digital Turbine's value that differs from its market value or its book value, called intrinsic value, which is Digital Turbine's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Digital Turbine's market value can be influenced by many factors that don't directly affect Digital Turbine's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Digital Turbine's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Digital Turbine represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Digital Turbine's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Digital Turbine '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 Digital Turbine's stock 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 Digital Turbine.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Digital Turbine on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Digital Turbine or generate 0.0% return on investment in Digital Turbine over 90 days. Digital Turbine is related to or competes with Full Truck, Sprout Social, Riskified, Domo, Bumble, Arqit Quantum, and Ibotta. Digital Turbine, Inc., through its subsidiaries, operates a mobile growth platform for advertisers, publishers, carriers... More
Digital Turbine 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 Digital Turbine's stock 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 Digital Turbine upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 37.27 | |||
| Value At Risk | (6.68) | |||
| Potential Upside | 6.03 |
Digital Turbine Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Turbine's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Turbine's standard deviation. In reality, there are many statistical measures that can use Digital Turbine historical prices to predict the future Digital Turbine's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (0.39) |
Digital Turbine February 6, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.38) | |||
| Mean Deviation | 3.58 | |||
| Coefficient Of Variation | (1,112) | |||
| Standard Deviation | 5.1 | |||
| Variance | 26.05 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (0.39) | |||
| Maximum Drawdown | 37.27 | |||
| Value At Risk | (6.68) | |||
| Potential Upside | 6.03 | |||
| Skewness | 1.26 | |||
| Kurtosis | 6.47 |
Digital Turbine Backtested Returns
Digital Turbine secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the company had a -0.12 % return per unit of risk over the last 3 months. Digital Turbine exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Digital Turbine's Mean Deviation of 3.58, variance of 26.05, and Standard Deviation of 5.1 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.2, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Digital Turbine will likely underperform. At this point, Digital Turbine has a negative expected return of -0.48%. Please make sure to confirm Digital Turbine's total risk alpha, as well as the relationship between the kurtosis and day typical price , to decide if Digital Turbine performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.08 |
Virtually no predictability
Digital Turbine has virtually no predictability. Overlapping area represents the amount of predictability between Digital Turbine time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Digital Turbine price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Digital Turbine price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Digital Turbine technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Digital Turbine Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Digital Turbine volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Digital Turbine Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Digital Turbine on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Digital Turbine based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Turbine price pattern first instead of the macroeconomic environment surrounding Digital Turbine. By analyzing Digital Turbine's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Digital Turbine's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Digital Turbine specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Days Sales Outstanding | 128.05 | 141.43 | 702.85 | 738.0 | PTB Ratio | 1.14 | 1.83 | 0.19 | 0.18 |
Digital Turbine February 6, 2026 Technical Indicators
Most technical analysis of Digital 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.38) | |||
| Mean Deviation | 3.58 | |||
| Coefficient Of Variation | (1,112) | |||
| Standard Deviation | 5.1 | |||
| Variance | 26.05 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (0.39) | |||
| Maximum Drawdown | 37.27 | |||
| Value At Risk | (6.68) | |||
| Potential Upside | 6.03 | |||
| Skewness | 1.26 | |||
| Kurtosis | 6.47 |
Digital Turbine February 6, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Digital stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 525,821 | ||
| Daily Balance Of Power | (1.05) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 4.37 | ||
| Day Typical Price | 4.32 | ||
| Price Action Indicator | (0.35) |
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.