Lyxor UCITS Etf Forward View
| LYMH Etf | EUR 2.50 0.02 0.79% |
Lyxor Etf outlook is based on your current time horizon. We suggest always using this module together with an analysis of Lyxor UCITS's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength momentum indicator of Lyxor UCITS's share price is above 70 as of 19th of February 2026. This indicates that the etf is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Lyxor, making its price go up or down. Momentum 70
Buy Stretched
Oversold | Overbought |
Using Lyxor UCITS hype-based prediction, you can estimate the value of Lyxor UCITS ETF from the perspective of Lyxor UCITS response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Lyxor UCITS ETF on the next trading day is expected to be 2.46 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.14. Lyxor UCITS after-hype prediction price | EUR 2.5 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Lyxor |
Lyxor UCITS Additional Predictive Modules
Most predictive techniques to examine Lyxor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lyxor using various technical indicators. When you analyze Lyxor 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 |
Lyxor UCITS Naive Prediction Price Forecast For the 20th of February
Given 90 days horizon, the Naive Prediction forecasted value of Lyxor UCITS ETF on the next trading day is expected to be 2.46 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.14.Please note that although there have been many attempts to predict Lyxor Etf 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 Lyxor UCITS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Lyxor UCITS Etf Forecast Pattern
| Backtest Lyxor UCITS | Lyxor UCITS Price Prediction | Research Analysis |
Lyxor UCITS Forecasted Value
In the context of forecasting Lyxor UCITS's Etf 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. Lyxor UCITS's downside and upside margins for the forecasting period are 1.14 and 3.79, respectively. We have considered Lyxor UCITS'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 Lyxor UCITS etf data series using in forecasting. Note that when a statistical model is used to represent Lyxor UCITS etf, 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 | 110.6356 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0186 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 1.1367 |
Predictive Modules for Lyxor UCITS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lyxor UCITS ETF. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Lyxor UCITS After-Hype Price Density Analysis
As far as predicting the price of Lyxor UCITS 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 Lyxor UCITS 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 Etf prices, such as prices of Lyxor UCITS, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Lyxor UCITS Estimiated After-Hype Price Volatility
In the context of predicting Lyxor UCITS's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Lyxor UCITS's historical news coverage. Lyxor UCITS's after-hype downside and upside margins for the prediction period are 1.17 and 3.83, respectively. We have considered Lyxor UCITS'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
Lyxor UCITS is slightly risky at this time. Analysis and calculation of next after-hype price of Lyxor UCITS ETF is based on 3 months time horizon.
Lyxor UCITS Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Lyxor UCITS is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Lyxor UCITS 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 Etf 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 Lyxor UCITS, 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 |
0.21 | 1.33 | 0.00 | 0.02 | 3 Events / Month | 0 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.50 | 2.50 | 0.00 |
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Lyxor UCITS Hype Timeline
Lyxor UCITS ETF is now traded for 2.50on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. Lyxor is expected 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 expected to be very small, whereas the daily expected return is now at 0.21%. %. The volatility of related hype on Lyxor UCITS is about 1254.72%, with the expected price after the next announcement by competition of 2.52. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next expected press release will be in about 3 days. Check out Historical Fundamental Analysis of Lyxor UCITS to cross-verify your projections.Lyxor UCITS Related Hype Analysis
Having access to credible news sources related to Lyxor UCITS's direct competition is more important than ever and may enhance your ability to predict Lyxor UCITS's future price movements. Getting to know how Lyxor UCITS'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 Lyxor UCITS may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LYMH | Lyxor UCITS ETF | (0.01) | 3 per month | 1.00 | 0.13 | 2.89 | (1.54) | 7.10 | |
| IUS4 | iShares III Public | 1.06 | 1 per month | 0.57 | 0.18 | 1.39 | (1.16) | 3.85 | |
| XYPD | Xtrackers II | 0.00 | 0 per month | 0.14 | (0.19) | 0.27 | (0.29) | 0.88 | |
| 36BZ | iShares MSCI China | 0.01 | 1 per month | 0.69 | (0.01) | 1.42 | (1.16) | 3.39 | |
| CMOE | Invesco Bloomberg Commodity | 0.00 | 0 per month | 1.19 | 0.06 | 1.62 | (1.26) | 7.69 | |
| SPYC | SSgA SPDR ETFs | 0.00 | 0 per month | 0.63 | 0.05 | 1.48 | (1.14) | 4.20 | |
| ZPRA | SPDR SP Pan | 0.00 | 0 per month | 0.49 | 0.01 | 1.10 | (1.03) | 2.47 | |
| IUS2 | iShares SP Banks | 0.00 | 0 per month | 1.20 | 0.09 | 2.58 | (2.64) | 5.98 | |
| WGES | Amundi MSCI World | 0.00 | 0 per month | 0.66 | 0.03 | 1.28 | (1.29) | 3.71 | |
| XESC | Xtrackers EURO STOXX | 0.00 | 0 per month | 0.56 | 0.06 | 1.36 | (0.87) | 3.36 |
Other Forecasting Options for Lyxor UCITS
For every potential investor in Lyxor, whether a beginner or expert, Lyxor UCITS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lyxor Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lyxor. Basic forecasting techniques help filter out the noise by identifying Lyxor UCITS's price trends.Lyxor UCITS 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 Lyxor UCITS etf to make a market-neutral strategy. Peer analysis of Lyxor UCITS could also be used in its relative valuation, which is a method of valuing Lyxor UCITS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Lyxor UCITS Market Strength Events
Market strength indicators help investors to evaluate how Lyxor UCITS etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lyxor UCITS shares will generate the highest return on investment. By undertsting and applying Lyxor UCITS etf market strength indicators, traders can identify Lyxor UCITS ETF entry and exit signals to maximize returns.
Lyxor UCITS Risk Indicators
The analysis of Lyxor UCITS'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 Lyxor UCITS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lyxor etf 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 | 1.0 | |||
| Semi Deviation | 1.0 | |||
| Standard Deviation | 1.34 | |||
| Variance | 1.79 | |||
| Downside Variance | 1.91 | |||
| Semi Variance | 1.0 | |||
| Expected Short fall | (1.29) |
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 Lyxor UCITS
The number of cover stories for Lyxor UCITS depends on current market conditions and Lyxor UCITS's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Lyxor UCITS 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 Lyxor UCITS'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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Other Information on Investing in Lyxor Etf
Lyxor UCITS financial ratios help investors to determine whether Lyxor Etf 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 Lyxor with respect to the benefits of owning Lyxor UCITS security.