Applied Digital Stock Price Prediction
| APLD Stock | USD 7.78 0.00 0.00% |
Oversold Vs Overbought
47
Oversold | Overbought |
EPS Estimate Current Year (0.52) | EPS Estimate Next Year (0.29) | Wall Street Target Price 11.625 | EPS Estimate Current Quarter (0.29) | Quarterly Revenue Growth 0.671 |
Using Applied Digital hype-based prediction, you can estimate the value of Applied Digital from the perspective of Applied Digital response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Applied Digital to buy its stock at a price that has no basis in reality. In that case, they are not buying Applied because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Applied Digital after-hype prediction price | USD 7.63 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Applied |
Applied Digital After-Hype Price Prediction Density Analysis
As far as predicting the price of Applied Digital at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Applied Digital or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Applied Digital, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Applied Digital Estimiated After-Hype Price Volatility
In the context of predicting Applied Digital's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Applied Digital's historical news coverage. Applied Digital's after-hype downside and upside margins for the prediction period are 1.20 and 14.06, respectively. We have considered Applied Digital's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Applied Digital is moderately volatile at this time. Analysis and calculation of next after-hype price of Applied Digital is based on 3 months time horizon.
Applied Digital Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Applied Digital is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Applied Digital backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Applied Digital, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.27 | 6.43 | 0.15 | 0.12 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
7.78 | 7.63 | 1.93 |
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Applied Digital Hype Timeline
Applied Digital is presently traded for 7.78. The entity has historical hype elasticity of -0.15, and average elasticity to hype of competition of -0.12. Applied is expected to decline in value after the next headline, with the price expected to drop to 7.63. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.93%, whereas the daily expected return is presently at 0.27%. The volatility of related hype on Applied Digital is about 1479.47%, with the expected price after the next announcement by competition of 7.66. About 21.0% of the company shares are held by company insiders. The company recorded a loss per share of 1.23. Applied Digital had not issued any dividends in recent years. The entity had 1:6 split on the 13th of April 2022. Given the investment horizon of 90 days the next expected press release will be in about 8 days. Check out Applied Digital Basic Forecasting Models to cross-verify your projections.Applied Digital Related Hype Analysis
Having access to credible news sources related to Applied Digital's direct competition is more important than ever and may enhance your ability to predict Applied Digital's future price movements. Getting to know how Applied Digital's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Applied Digital may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GHL | Greenhill Co | (0.03) | 2 per month | 1.89 | 0.11 | 5.75 | (5.53) | 117.24 | |
| MEGL | Magic Empire Global | 0.01 | 1 per month | 4.08 | 0.03 | 10.87 | (6.00) | 30.98 | |
| TOP | Zhong Yang Financial | (0.02) | 9 per month | 4.73 | 0.02 | 8.90 | (8.29) | 76.38 | |
| SAI | SAITECH Global | (0.01) | 1 per month | 5.97 | 0.09 | 17.24 | (10.29) | 80.17 | |
| NCPL | Netcapital | (0.02) | 4 per month | 5.35 | 0.09 | 9.47 | (7.78) | 33.65 | |
| LAZ | Lazard | 0.13 | 10 per month | 1.61 | 0.03 | 3.95 | (3.23) | 18.47 | |
| TCJH | Top KingWin Ltd | 0.04 | 2 per month | 7.09 | 0.05 | 15.56 | (13.46) | 105.28 | |
| RIOT | Riot Blockchain | (1.49) | 11 per month | 5.78 | 0.09 | 9.54 | (11.83) | 40.62 | |
| HUT | Hut 8 Corp | (0.65) | 7 per month | 5.31 | 0.13 | 14.21 | (8.92) | 37.31 | |
| CLSK | CleanSpark | (1.02) | 9 per month | 5.61 | 0.02 | 12.72 | (9.42) | 44.80 | |
| BTBT | Bit Digital | 0.12 | 10 per month | 0.00 | (0.01) | 13.10 | (9.72) | 42.28 | |
| BITF | Bitfarms | (0.22) | 10 per month | 0.00 | (0.07) | 10.16 | (7.14) | 33.47 | |
| MARA | Marathon Digital Holdings | (2.49) | 6 per month | 5.63 | 0.03 | 11.02 | (9.72) | 43.97 |
Applied Digital Additional Predictive Modules
Most predictive techniques to examine Applied price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Applied using various technical indicators. When you analyze Applied 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Applied Digital Predictive Indicators
The successful prediction of Applied Digital stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Applied Digital, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Applied Digital based on analysis of Applied Digital hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Applied Digital's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Applied Digital's related companies. | 2024 | 2025 (projected) | Payables Turnover | 0.82 | 0.78 | Days Of Inventory On Hand | 33.89 | 32.2 |
Story Coverage note for Applied Digital
The number of cover stories for Applied Digital depends on current market conditions and Applied Digital's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Applied Digital is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Applied Digital's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Applied Digital Short Properties
Applied Digital's future price predictability will typically decrease when Applied Digital's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Applied Digital often depends not only on the future outlook of the potential Applied Digital'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. Applied Digital's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 114.1 M | |
| Cash And Short Term Investments | 3.3 M |
Complementary Tools for Applied Stock analysis
When running Applied Digital's price analysis, check to measure Applied Digital'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 Applied Digital is operating at the current time. Most of Applied Digital's value examination focuses on studying past and present price action to predict the probability of Applied Digital's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Digital's price. Additionally, you may evaluate how the addition of Applied Digital to your portfolios can decrease your overall portfolio volatility.
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