Global Net Stock Forward View - Simple Moving Average
| 2N8 Stock | EUR 7.79 0.02 0.26% |
Global Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Global Net's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 5th of February 2026 the relative strength index (rsi) of Global Net's share price is below 20 . This suggests 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 3.33 | Wall Street Target Price 23.25 | Quarterly Revenue Growth (0.13) |
Using Global Net hype-based prediction, you can estimate the value of Global Net Lease from the perspective of Global Net response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Global Net Lease on the next trading day is expected to be 7.79 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.09. Global Net after-hype prediction price | EUR 7.76 |
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.
Global |
Global Net Additional Predictive Modules
Most predictive techniques to examine Global price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Global using various technical indicators. When you analyze Global 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 |
Global Net Simple Moving Average Price Forecast For the 6th of February
Given 90 days horizon, the Simple Moving Average forecasted value of Global Net Lease on the next trading day is expected to be 7.79 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.09.Please note that although there have been many attempts to predict Global 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 Global Net's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Global Net Stock Forecast Pattern
| Backtest Global Net | Global Net Price Prediction | Research Analysis |
Global Net Forecasted Value
In the context of forecasting Global Net'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. Global Net's downside and upside margins for the forecasting period are 6.49 and 9.09, respectively. We have considered Global Net'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Global Net stock data series using in forecasting. Note that when a statistical model is used to represent Global Net 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 | 110.0596 |
| Bias | Arithmetic mean of the errors | -0.0375 |
| MAD | Mean absolute deviation | 0.0863 |
| MAPE | Mean absolute percentage error | 0.0121 |
| SAE | Sum of the absolute errors | 5.09 |
Predictive Modules for Global Net
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Net Lease. 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.Global Net After-Hype Price Density Analysis
As far as predicting the price of Global Net 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 Global Net 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 Global Net, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Global Net Estimiated After-Hype Price Volatility
In the context of predicting Global Net's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Global Net's historical news coverage. Global Net's after-hype downside and upside margins for the prediction period are 6.46 and 9.06, respectively. We have considered Global Net'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
Global Net is not too volatile at this time. Analysis and calculation of next after-hype price of Global Net Lease is based on 3 months time horizon.
Global Net Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Global Net is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Global Net 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 Global Net, 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 |
0.27 | 1.30 | 0.03 | 0.01 | 9 Events / Month | 1 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
7.79 | 7.76 | 0.39 |
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Global Net Hype Timeline
Global Net Lease is presently traded for 7.79on Frankfurt Exchange of Germany. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of 0.01. Global is estimated to decline in value after the next headline, with the price expected to drop to 7.76. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -0.39%, whereas the daily expected return is presently at 0.27%. The volatility of related hype on Global Net is about 3033.33%, with the expected price after the next announcement by competition of 7.80. About 73.0% of the company shares are owned by institutions such as pension funds. The company has Price-to-Book (P/B) ratio of 1.19. In the past many companies with similar price-to-book ratios have beat the market. Global Net Lease has Price/Earnings (P/E) ratio of 327.47. The entity recorded a loss per share of 1.09. The firm last dividend was issued on the 13th of October 2025. Assuming the 90 days horizon the next estimated press release will be in about 9 days. Check out Historical Fundamental Analysis of Global Net to cross-verify your projections.Global Net Related Hype Analysis
Having access to credible news sources related to Global Net's direct competition is more important than ever and may enhance your ability to predict Global Net's future price movements. Getting to know how Global Net'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 Global Net may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XY81 | BW OFFSHORE LTD | 0.03 | 4 per month | 1.48 | 0.16 | 4.33 | (2.98) | 16.29 | |
| DDN | Darden Restaurants | 0.30 | 10 per month | 1.41 | 0.1 | 3.78 | (2.25) | 9.44 | |
| E1V | Eidesvik Offshore ASA | (0.01) | 5 per month | 1.84 | 0.04 | 3.92 | (3.85) | 9.46 | |
| E6U | Coffee Holding Co | (0.04) | 4 per month | 0.00 | (0.13) | 5.67 | (6.58) | 27.38 | |
| S5H0 | SIEM OFFSHORE NEW | 0.02 | 1 per month | 1.65 | 0.15 | 3.54 | (3.29) | 12.17 | |
| VIP | Virtus Investment Partners | 0.00 | 7 per month | 0.00 | (0.08) | 3.01 | (2.95) | 9.31 | |
| GUG | Guangdong Investment Limited | 0.00 | 5 per month | 1.77 | (0.03) | 2.74 | (2.78) | 8.12 |
Other Forecasting Options for Global Net
For every potential investor in Global, whether a beginner or expert, Global Net's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Global Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Global. Basic forecasting techniques help filter out the noise by identifying Global Net's price trends.Global Net 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 Global Net stock to make a market-neutral strategy. Peer analysis of Global Net could also be used in its relative valuation, which is a method of valuing Global Net by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Global Net Market Strength Events
Market strength indicators help investors to evaluate how Global Net stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Global Net shares will generate the highest return on investment. By undertsting and applying Global Net stock market strength indicators, traders can identify Global Net Lease entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 7.79 | |||
| Day Typical Price | 7.79 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.02) |
Global Net Risk Indicators
The analysis of Global Net'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 Global Net's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting global 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 | 1.11 | |||
| Semi Deviation | 0.7571 | |||
| Standard Deviation | 1.45 | |||
| Variance | 2.11 | |||
| Downside Variance | 1.2 | |||
| Semi Variance | 0.5732 | |||
| Expected Short fall | (1.48) |
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 Global Net
The number of cover stories for Global Net depends on current market conditions and Global Net's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Global Net 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 Global Net'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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Check out Historical Fundamental Analysis of Global Net to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.