Lang Schwarz Stock Forward View
| LUS1 Stock | 23.20 0.20 0.87% |
Lang Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Lang Schwarz's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 5th of February 2026 the relative strength indicator of Lang Schwarz's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.38) | EPS Estimate Current Year 2.24 | EPS Estimate Next Year 2.71 | Wall Street Target Price 26.3 | Quarterly Revenue Growth 0.323 |
Using Lang Schwarz hype-based prediction, you can estimate the value of Lang Schwarz Aktiengesellschaft from the perspective of Lang Schwarz response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Lang Schwarz Aktiengesellschaft on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.92. Lang Schwarz after-hype prediction price | EUR 23.22 |
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.
Lang |
Lang Schwarz Additional Predictive Modules
Most predictive techniques to examine Lang price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lang using various technical indicators. When you analyze Lang 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 |
Lang Schwarz Naive Prediction Price Forecast For the 6th of February
Given 90 days horizon, the Naive Prediction forecasted value of Lang Schwarz Aktiengesellschaft on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.17, and the sum of the absolute errors of 20.92.Please note that although there have been many attempts to predict Lang 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 Lang Schwarz's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Lang Schwarz Stock Forecast Pattern
| Backtest Lang Schwarz | Lang Schwarz Price Prediction | Research Analysis |
Lang Schwarz Forecasted Value
In the context of forecasting Lang Schwarz's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Lang Schwarz's downside and upside margins for the forecasting period are 20.33 and 23.88, respectively. We have considered Lang Schwarz's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Lang Schwarz stock data series using in forecasting. Note that when a statistical model is used to represent Lang Schwarz 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 | 118.1617 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3374 |
| MAPE | Mean absolute percentage error | 0.0147 |
| SAE | Sum of the absolute errors | 20.9213 |
Predictive Modules for Lang Schwarz
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lang Schwarz Aktieng. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Lang Schwarz After-Hype Price Density Analysis
As far as predicting the price of Lang Schwarz 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 Lang Schwarz 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 Lang Schwarz, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Lang Schwarz Estimiated After-Hype Price Volatility
In the context of predicting Lang Schwarz's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Lang Schwarz's historical news coverage. Lang Schwarz's after-hype downside and upside margins for the prediction period are 21.45 and 24.99, respectively. We have considered Lang Schwarz'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Lang Schwarz is very steady at this time. Analysis and calculation of next after-hype price of Lang Schwarz Aktieng is based on 3 months time horizon.
Lang Schwarz Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Lang Schwarz is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Lang Schwarz 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 Lang Schwarz, 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 |
0.10 | 1.77 | 0.02 | 0.04 | 5 Events / Month | 0 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
23.20 | 23.22 | 0.09 |
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Lang Schwarz Hype Timeline
Lang Schwarz Aktieng is now traded for 23.20on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of -0.04. Lang is projected to increase in value after the next headline, with the price projected to jump to 23.22 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 0.09%, whereas the daily expected return is now at 0.1%. The volatility of related hype on Lang Schwarz is about 442.5%, with the expected price after the next announcement by competition of 23.16. Assuming the 90 days trading horizon the next projected press release will be in about 5 days. Check out Historical Fundamental Analysis of Lang Schwarz to cross-verify your projections.Lang Schwarz Related Hype Analysis
Having access to credible news sources related to Lang Schwarz's direct competition is more important than ever and may enhance your ability to predict Lang Schwarz's future price movements. Getting to know how Lang Schwarz'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 Lang Schwarz may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XTP | Sino AG | (1.40) | 6 per month | 1.57 | 0.01 | 3.97 | (2.75) | 10.79 | |
| EUX | EUWAX Aktiengesellschaft | 0.00 | 2 per month | 0.87 | 0.02 | 1.71 | (1.60) | 8.89 | |
| SB1 | Smartbroker Holding AG | 0.20 | 4 per month | 0.74 | 0.16 | 4.10 | (1.87) | 7.11 |
Other Forecasting Options for Lang Schwarz
For every potential investor in Lang, whether a beginner or expert, Lang Schwarz's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lang Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lang. Basic forecasting techniques help filter out the noise by identifying Lang Schwarz's price trends.Lang Schwarz 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 Lang Schwarz stock to make a market-neutral strategy. Peer analysis of Lang Schwarz could also be used in its relative valuation, which is a method of valuing Lang Schwarz by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Lang Schwarz Market Strength Events
Market strength indicators help investors to evaluate how Lang Schwarz stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lang Schwarz shares will generate the highest return on investment. By undertsting and applying Lang Schwarz stock market strength indicators, traders can identify Lang Schwarz Aktiengesellschaft entry and exit signals to maximize returns.
Lang Schwarz Risk Indicators
The analysis of Lang Schwarz'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 Lang Schwarz's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lang 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.
| Mean Deviation | 1.29 | |||
| Semi Deviation | 1.81 | |||
| Standard Deviation | 2.06 | |||
| Variance | 4.23 | |||
| Downside Variance | 4.71 | |||
| Semi Variance | 3.28 | |||
| Expected Short fall | (1.55) |
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 Lang Schwarz
The number of cover stories for Lang Schwarz depends on current market conditions and Lang Schwarz's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Lang Schwarz 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 Lang Schwarz'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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Lang Schwarz Short Properties
Lang Schwarz's future price predictability will typically decrease when Lang Schwarz's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Lang Schwarz Aktiengesellschaft often depends not only on the future outlook of the potential Lang Schwarz'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. Lang Schwarz's indicators that are reflective of the short sentiment are summarized in the table below.
| Dividend Yield | 0.0761 | |
| Forward Annual Dividend Rate | 1.75 |
Other Information on Investing in Lang Stock
Lang Schwarz financial ratios help investors to determine whether Lang Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Lang with respect to the benefits of owning Lang Schwarz security.