Digital Turbine Stock Forecast - Accumulation Distribution

APPS Stock  USD 1.44  0.01  0.69%   
Digital Stock Forecast is based on your current time horizon.
  
At this time, Digital Turbine's Receivables Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 129.31 in 2024, despite the fact that Inventory Turnover is likely to grow to (36.63). . Common Stock Shares Outstanding is likely to gain to about 106 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 20.1 M in 2024.
Digital Turbine has current Accumulation Distribution of 0. The accumulation distribution (A/D) indicator shows the degree to which Digital Turbine is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Digital Turbine to determine if accumulation or reduction is taking place in the market. This value is adjusted by Digital Turbine trading volume to give more weight to distributions with higher volume over lower volume.
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Digital Turbine Trading Date Momentum

On December 11 2024 Digital Turbine was traded for  1.44  at the closing time. The top price for the day was 1.44  and the lowest listed price was  1.44 . There was no trading activity during the period 0.0. Lack of trading volume on December 11, 2024 did not affect price variability. The overall trading delta against the current closing price is 0.69% .
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
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Other Forecasting Options for Digital Turbine

For every potential investor in Digital, whether a beginner or expert, Digital Turbine's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Digital Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Digital. Basic forecasting techniques help filter out the noise by identifying Digital Turbine's price trends.

Digital Turbine Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Digital Turbine stock to make a market-neutral strategy. Peer analysis of Digital Turbine could also be used in its relative valuation, which is a method of valuing Digital Turbine by comparing valuation metrics with similar companies.
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Digital Turbine Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Digital Turbine's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Digital Turbine's current price.

Digital Turbine Market Strength Events

Market strength indicators help investors to evaluate how Digital Turbine stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Digital Turbine shares will generate the highest return on investment. By undertsting and applying Digital Turbine stock market strength indicators, traders can identify Digital Turbine entry and exit signals to maximize returns.

Digital Turbine Risk Indicators

The analysis of Digital Turbine's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Digital Turbine's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digital stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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.