Applied Digital Stock Price Patterns
| APLD Stock | USD 27.02 1.09 4.20% |
Momentum
Sell Extended
Oversold | Overbought |
EPS Estimate Current Year -0.41 | EPS Estimate Next Year -0.90 | Wall Street Target Price 45.2727 | EPS Estimate Current Quarter -0.21 | Quarterly Revenue Growth 2.501 |
The hype mapping for Applied Digital connects headline volume with price response patterns. The dataset represents available headline and market data. This section reviews Applied Digital's options positioning and short interest as sentiment context. Put-call ratios and open interest distribution add depth to the sentiment framing.
Short Interest Coverage - Applied Digital
Applied Digital's short interest trends are presented as structured positioning context. This data is provided as informational context for sentiment analysis.
200 Day MA 23.6492 | Short Percent 0.3074 | Short Ratio 3.04 | Shares Short Prior Month 80.3 M | 50 Day MA 32.3033 |
Price Response to Hype - Applied Digital
Public attention patterns around Applied Digital are presented as a structured sentiment view. Sentiment trends are presented alongside price data for comparative review.
Correlation between sentiment and price for Applied Digital can be reviewed as contextual information. Figures are sourced from market data feeds and exchange records.
Applied Digital Implied Volatility | 1.07 |
This view presents Applied Digital's implied volatility as a measure of expected price variability. This measure helps frame how much price uncertainty is currently embedded in options pricing.
This sentiment view summarizes headline intensity and market attention around Applied Digital. The overview captures sentiment patterns without advisory intent.
Applied Digital after-hype prediction price | $ 25.95 |
Sentiment metrics here complement forecasting and technical views with analyst context. The analytical framework is enriched by earnings expectations and momentum measures.
Rule 16 for the current Applied contract
Applying Rule 16 to implied volatility yields an estimated daily move of 0.0669% for 2026-06-18 options. Given Applied Digital trading around $ 27.02, the move is about $ 0.02 per day.
Cross-verify projections for Applied Digital using Applied Digital Basic Forecasting Models.Statistical evidence for mean reversion in Applied Digital's can be observed through its tendency to revert after extreme valuations. Investors who believe in mean reversion view Applied Digital's price extremes as temporary dislocations that may self-correct. Valuation-driven investors use mean reversion to time Applied Digital's investments around historical valuation multiples. Historical data for Applied Digital shows that extreme valuations have tended to normalize over multi-year periods.
After-Hype Price Density Analysis
The probability distribution for Applied Digital's predicted price encodes the full spectrum of outcomes by estimated likelihood. Confidence intervals from Applied Digital's distribution widen as the forecast horizon extends, reflecting compounding uncertainty. Comparing the width of Applied Digital's upside distribution against the downside reveals the risk-reward asymmetry for Applied Digital. Applied Digital's predicted outcome range provides a realistic frame for what the model considers plausible for Applied Digital.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
After analyzing Applied Digital's historical price reactions to major news, we derive upside and downside boundaries for Applied Digital. Applied Digital's after-hype downside and upside margins for the prediction period are 19.00 and 32.90, respectively. This analysis complements technical and fundamental research by adding a news dimension to Applied Digital's forecasting.
Current Value
This after-hype projection for Applied Digital uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Odd price surges in Applied Digital often trace to big-money trading or market mood, not core data. This often happens because big investors are trading Applied Digital back and forth among themselves. Momentum-driven price action in Applied Digital can last longer than expected but needs real data to hold up. If you spot this pattern with Applied Digital, there may be a good short sale chance worth looking into.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.22 | 6.95 | 0.01 | 0.25 | 7 Events | 8 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
27.02 | 25.95 | 0.04 |
|
Hype Timeline
Applied Digital is presently traded for 27.02. The company has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.25. Applied is expected to decline in value after the next headline, with the price expected to drop to 25.95. 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 -0.04%, whereas the daily expected return is presently at 0.22%. The volatility of related hype on Applied Digital is about 602.25%, with the expected price after the next announcement by competition of 27.27. About 13.0% of the company shares are held by company insiders. The company has Price/Earnings To Growth (PEG) ratio of 1.83. Applied Digital recorded a loss per share of 0.39. The company had not issued any dividends in recent years. The firm completed a 1:6 stock split on 13th of April 2022. Given the investment horizon of 90 days the next expected press release will be in 7 days. Cross-verify projections for Applied Digital using Applied Digital Basic Forecasting Models.Related Hype Analysis
The comparative hype analysis table for Applied Digital provides risk metrics for Applied Digital's direct competitors. Value-at-risk and maximum drawdown for Applied Digital's competitors provide context for assessing Applied Digital's relative risk. Analyzing how Applied Digital's sector peers have historically reacted to news helps model sentiment dynamics around Applied Digital. The peer comparison framework for Applied Digital makes it possible to benchmark Applied Digital's news sensitivity against direct competitors.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AUR | Aurora Innovation | 0.02 | 10 per month | 3.45 | 0.04 | 4.72 | -5.21 | 19.63 | |
| EPAM | EPAM Systems | -2.62 | 9 per month | 0.00 | -0.13 | 4.44 | -7.11 | 22.71 | |
| JKHY | Jack Henry Associates | 0.74 | 9 per month | 0.00 | -0.05 | 2.77 | -2.34 | 9.53 | |
| DOX | Amdocs | 1.77 | 9 per month | 0.00 | -0.1 | 1.81 | -3.49 | 10.32 | |
| AMKR | Amkor Technology | 2.28 | 12 per month | 4.12 | 0.06 | 8.73 | -6.75 | 20.29 | |
| APPF | Appfolio | 8.23 | 10 per month | 0.00 | -0.13 | 3.16 | -5.17 | 11.47 | |
| TTAN | ServiceTitan Class A | 0.31 | 6 per month | 0.00 | -0.13 | 4.88 | -6.41 | 17.68 | |
| OTEX | Open Text Corp | -1.69 | 7 per month | 0.00 | -0.18 | 3.03 | -4.20 | 16.88 | |
| TSEM | Tower Semiconductor | 2.46 | 10 per month | 3.33 | 0.15 | 7.72 | -7.43 | 20.41 | |
| CFLT | Confluent | 0.04 | 6 per month | 0.00 | 0.53 | 0.49 | -0.30 | 1.19 |
Applied Digital Additional Predictive Modules
Applied Digital predictive analysis applies quantitative techniques to historical price data, aiming to identify conditions that have preceded similar moves in the past. Combining multiple forecasting approaches can reduce model-specific bias and improve reliability.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sentiment Indicators & Methodology
Sentiment analysis for Applied Digital evaluates news tone, positioning, and narrative momentum. Tone dispersion can increase uncertainty and volatility clustering. Applied Digital has a market cap of 7.25 B, ROE of -7.9%.
Unless otherwise specified, data for Applied Digital is compiled from periodic company reporting and market reference feeds and standardized for comparability. Professional analyst research is incorporated when coverage is available. Updates may occur throughout the day.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardAlso Currently Popular
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