SMA Solar (Germany) Price Patterns
| S92 Stock | EUR 36.06 2.62 7.83% |
Momentum
Impartial
Oversold | Overbought |
Quarterly Earnings Growth -0.81 | EPS Estimate Next Quarter -0.19 | EPS Estimate Current Year -6.01 | EPS Estimate Next Year 1.7138 | Wall Street Target Price 33.4 |
The summary pairs SMA Solar's headline activity with price response context.
This sentiment view summarizes headline intensity and market attention around SMA Solar to frame short-term volatility context.
SMA Solar after-hype prediction price | € 36.06 |
Hype analysis provides context that aligns with forecasting models, technical indicators, and earnings views.
SMA |
Mean reversion opportunities in SMA Solar's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.
After-Hype Price Density Analysis
Using probability distributions for SMA Solar forecasting acknowledges that no model can consistently predict SMA Solar's exact future price. The distribution approach quantifies model uncertainty and helps investors avoid overconfidence in any single forecast.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The after-hype price analysis for SMA Solar provides a news-conditional view of potential price outcomes. SMA Solar's after-hype downside and upside margins for the prediction period are 32.26 and 39.86, respectively. This analysis complements technical and fundamental research by adding a news-sentiment dimension to SMA Solar's price forecasting.
Current Value
The next after-hype price estimate for SMA Solar Technology is modeled on a 3 months horizon and is intended to show how price could normalize after sentiment pressure fades. The objective is to separate event-driven enthusiasm from a more stable price path once the market absorbs the catalyst.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SMA Solar is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SMA Solar 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 SMA Solar, 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 |
0.25 | 3.83 | 0.06 | 0.01 | 2 Events | 1 Events | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
36.06 | 36.06 | 0.00 |
|
Hype Timeline
SMA Solar Technology is at this time traded for 36.06on Frankfurt Exchange of Germany. The company has historical hype elasticity of -0.06, and average elasticity to hype of competition of 0.01. SMA is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at 0.25%. %. The volatility of related hype on SMA Solar is about 6874.36%, with the expected price after the next announcement by competition of 36.07. About 61.0% of the company outstanding shares are owned by corporate insiders. The book value of SMA Solar was at this time reported as 11.59. The company recorded a loss per share of 8.55. SMA Solar Technology had its last dividend issued on the 28th of May 2025. Assuming a 90-day horizon the next estimated press release will be in a few days. SMA Solar Basic Forecasting Models can be used to cross-verify projections for SMA Solar. The model set adds a statistical reference.Related Hype Analysis
The peer hype comparison table for SMA Solar includes downside risk metrics such as value-at-risk and maximum drawdown for SMA Solar's competitors. providing context for assessing the relative risk profile of a SMA Solar investment.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 02G | Guangzhou Automobile Group | -0.01 | 3 per month | 0.00 | -0.01 | 4.76 | -4.55 | 13.10 | |
| 4I3 | ECHO INVESTMENT ZY | 0.01 | 2 per month | 1.83 | 0.12 | 4.39 | -3.17 | 12.18 | |
| 14D | tokentus investment AG | -0.02 | 2 per month | 0.00 | -0.11 | 5.21 | -10.23 | 33.12 | |
| 8PM | PennyMac Mortgage Investment | 0.30 | 9 per month | 0.00 | 0.03 | 2.02 | -1.94 | 15.34 | |
| 1WT | WisdomTree Investments | 0.11 | 8 per month | 2.17 | 0.19 | 4.44 | -3.78 | 13.99 | |
| 1CY | China Yongda Automobiles | 0.00 | 2 per month | 0.00 | -0.03 | 6.67 | -6.25 | 25.10 | |
| RNT | REINET INVESTMENTS SCA | 0.00 | 0 per month | 2.76 | 0.05 | 5.19 | -5.81 | 17.55 |
SMA Solar Additional Predictive Modules
Predictive models for SMA Solar combine technical indicators with statistical methods to estimate probable price trajectories. Backtested accuracy does not guarantee forward performance - market structure and volatility regimes evolve.| 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 SMA Solar evaluates news tone, positioning, and narrative momentum. Negative tone can pressure pricing and widen dispersion under stress. SMA Solar has a market cap of 1.26 B, P/E of 54.2, ROE of -53.73%.
For SMA Solar Technology, this section uses periodic company reporting and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardCurrently Active Assets on Macroaxis
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