Aeluma Stock Forward View - Simple Moving Average
| ALMU Stock | 14.81 0.02 0.14% |
Momentum
Sell Peaked
Oversold | Overbought |
The summary frames Aeluma's price response to attention shifts and peer coverage.
The Simple Moving Average forecasted value of Aeluma on the next trading day is expected to be 14.81 with a mean absolute deviation of 0.99 and the sum of the absolute errors of 58.12.Aeluma after-hype prediction price | $ 14.8 |
This analysis adds an attention layer to forecasting, technical studies, analyst estimates, and earnings views.
Historical Fundamental Analysis of Aeluma can be used to cross-verify projections for Aeluma. The view supplies historical context for the projection discussion.Aeluma Additional Predictive Modules
Most predictive techniques to examine Aeluma price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Aeluma using various technical indicators. When you analyze Aeluma 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 |
Simple Moving Average Price Forecast For the 15th of March 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Aeluma on the next trading day is expected to be 14.81 with a mean absolute deviation of 0.99 , mean absolute percentage error of 1.64 , and the sum of the absolute errors of 58.12 .Please note that although there have been many attempts to predict Aeluma Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Aeluma's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Aeluma | Aeluma Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Aeluma uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Aeluma stock data series using in forecasting. Note that when a statistical model is used to represent Aeluma stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 114.9316 |
| Bias | Arithmetic mean of the errors | 0.0031 |
| MAD | Mean absolute deviation | 0.9852 |
| MAPE | Mean absolute percentage error | 0.0576 |
| SAE | Sum of the absolute errors | 58.125 |
While mean reversion in Aeluma is a statistically observable tendency, it operates on uncertain timelines. Positions sized too aggressively against the trend can suffer sustained losses before reversion occurs.
After-Hype Price Density Analysis
One key insight from Aeluma's price distribution analysis is that the most likely single outcome - the mode - is not necessarily the most important. The width and shape of Aeluma's distribution determine how often extreme deviations from the central forecast occur.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical analysis of Aeluma reveals distinct patterns in how Aeluma's price responds to different categories of news. Aeluma's after-hype downside and upside margins for the prediction period are 7.94 and 21.66, respectively. The most informative signals come from news categories where Aeluma has shown consistent and predictable historical reactions.
Current Value
The after-hype framework applied to Aeluma assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Aeluma is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Aeluma 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 Aeluma, 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 |
0.04 | 6.86 | 0.00 | 0.00 | 0 Events | 0 Events | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.81 | 14.80 | 0.07 |
|
Hype Timeline
Aeluma is presently traded for 14.81. The company stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Aeluma is expected to decline in value after the next headline, with the price expected to drop to 14.8. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -0.07%, whereas the daily expected return is presently at 0.04%. The volatility of related hype on Aeluma is about 10088.24%, with the expected price after the next announcement by competition of 14.81. About 28.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.23. Aeluma had not issued any dividends in recent years. Given the investment horizon of 90 days the next expected press release will be in 5 to 10 days. Historical Fundamental Analysis of Aeluma can be used to cross-verify projections for Aeluma. The view supplies historical context for the projection discussion.Related Hype Analysis
Tracking the hype elasticity of Aeluma's direct competitors provides a quantified measure of how much news about other companies in the sector affects Aeluma's short-term price behavior.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GSIT | GSI Technology | 0.00 | 0 per month | 4.95 | 0.15 | 9.45 | -8.12 | 40.45 | |
| XPER | Xperi Corp | 0.00 | 0 per month | 0.00 | -0.0045 | 4.20 | -3.86 | 14.99 | |
| MRAM | Everspin Technologies | 0.00 | 0 per month | 5.48 | 0.03 | 9.53 | -7.07 | 30.23 | |
| VUZI | Vuzix Corp Cmn | -0.68 | 2 per month | 0.00 | -0.02 | 9.61 | -7.98 | 43.23 | |
| AUDC | AudioCodes | 0.00 | 0 per month | 0.00 | -0.0036 | 2.95 | -3.33 | 17.33 | |
| EGHT | 8x8 Common Stock | 0.00 | 0 per month | 3.88 | 0.04 | 5.66 | -5.95 | 54.92 | |
| SMRT | SmartRent | 0.00 | 0 per month | 0.00 | -0.06 | 4.17 | -6.17 | 28.00 | |
| AZ | A2Z Smart Technologies | 0.00 | 0 per month | 3.60 | 0.02 | 7.26 | -5.03 | 21.21 | |
| NVEC | NVE Corporation | 0.00 | 0 per month | 0.00 | 0.00 | 3.33 | -2.77 | 18.38 | |
| INSG | Inseego Corp | 0.00 | 0 per month | 3.57 | 0.02 | 6.40 | -6.03 | 29.02 |
Other Forecasting Options for Aeluma
Any investor evaluating Aeluma must grapple with the challenge of interpreting Aeluma's price movement accurately. Aeluma Stock price charts typically contain substantial noise that can complicate analysis and lead to poor decisions.Aeluma Related Equities
The following equities are related to Aeluma within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Aeluma against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Aeluma Market Strength Events
Market strength indicators for Aeluma assess how the stock responds to ongoing changes in market conditions and investor sentiment. By monitoring these indicators, investors can identify the most opportune moments to trade Aeluma.
Aeluma Risk Indicators
Risk indicator analysis for Aeluma is a critical component of accurate price forecasting and sound investment decision-making. By identifying how much risk is embedded in Aeluma's investment, investors can decide how to position and protect their exposure.
| Mean Deviation | 4.82 | |||
| Semi Deviation | 6.14 | |||
| Standard Deviation | 6.86 | |||
| Variance | 47.0 | |||
| Downside Variance | 39.1 | |||
| Semi Variance | 37.71 | |||
| Expected Short fall | -4.78 |
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.
Story Coverage note for Aeluma
Coverage intensity for Aeluma matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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Aeluma Short Properties
Short sentiment tied to Aeluma matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 13.2 M | |
| Cash And Short Term Investments | 15.7 M |
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