City Of Stock Forward View - Simple Exponential Smoothing
| CLN Stock | EUR 6.49 0.07 1.09% |
City Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of City Of's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 7th of February 2026 the relative strength index (rsi) of City Of's share price is below 20 suggesting 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 0.765 | Quarterly Revenue Growth 0.716 |
Using City Of hype-based prediction, you can estimate the value of The City of from the perspective of City Of response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of The City of on the next trading day is expected to be 6.48 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.32. City Of after-hype prediction price | EUR 6.51 |
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.
City |
City Of Additional Predictive Modules
Most predictive techniques to examine City price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for City using various technical indicators. When you analyze City 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 |
City Of Simple Exponential Smoothing Price Forecast For the 8th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of The City of on the next trading day is expected to be 6.48 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.32.Please note that although there have been many attempts to predict City 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 City Of's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
City Of Stock Forecast Pattern
| Backtest City Of | City Of Price Prediction | Research Analysis |
City Of Forecasted Value
In the context of forecasting City Of'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. City Of's downside and upside margins for the forecasting period are 5.09 and 7.87, respectively. We have considered City Of'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of City Of stock data series using in forecasting. Note that when a statistical model is used to represent City Of 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 | 111.1552 |
| Bias | Arithmetic mean of the errors | -0.0198 |
| MAD | Mean absolute deviation | 0.0553 |
| MAPE | Mean absolute percentage error | 0.0091 |
| SAE | Sum of the absolute errors | 3.3169 |
Predictive Modules for City Of
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as The City. 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.City Of After-Hype Price Density Analysis
As far as predicting the price of City Of 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 City Of 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 City Of, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
City Of Estimiated After-Hype Price Volatility
In the context of predicting City Of's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on City Of's historical news coverage. City Of's after-hype downside and upside margins for the prediction period are 5.12 and 7.90, respectively. We have considered City Of'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
City Of is somewhat reliable at this time. Analysis and calculation of next after-hype price of The City is based on 3 months time horizon.
City Of Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as City Of is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading City Of 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 City Of, 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 |
0.23 | 1.39 | 0.02 | 0.03 | 6 Events / Month | 2 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
6.49 | 6.51 | 0.31 |
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City Of Hype Timeline
The City is currently traded for 6.49on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of 0.03. City is estimated to increase in value after the next headline, with the price projected to jump to 6.51 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 0.31%, whereas the daily expected return is currently at 0.23%. The volatility of related hype on City Of is about 975.44%, with the expected price after the next announcement by competition of 6.52. The company reported the revenue of 356.99 M. Net Income was 61.41 M with profit before overhead, payroll, taxes, and interest of 356.99 M. Assuming the 90 days horizon the next estimated press release will be in about 6 days. Check out Historical Fundamental Analysis of City Of to cross-verify your projections.City Of Related Hype Analysis
Having access to credible news sources related to City Of's direct competition is more important than ever and may enhance your ability to predict City Of's future price movements. Getting to know how City Of'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 City Of may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HPI2 | RCS MediaGroup SpA | 0.00 | 1 per month | 0.00 | (0.10) | 2.13 | (3.88) | 11.77 | |
| GKD | Grand Canyon Education | 1.00 | 6 per month | 0.00 | (0.13) | 3.10 | (3.60) | 8.99 | |
| SQE | STRAYER EDUCATION | 0.00 | 8 per month | 1.25 | (0.03) | 2.22 | (2.29) | 7.43 | |
| SXV | Xinhua Winshare Publishing | 0.00 | 2 per month | 1.38 | (0.04) | 2.70 | (1.75) | 9.69 | |
| PSM | Prosiebensat 1 Media | 0.07 | 6 per month | 0.00 | (0.13) | 2.49 | (3.35) | 7.91 | |
| 9RT | Betr Entertainment Limited | 0.02 | 4 per month | 0.00 | 0.12 | 9.09 | (6.67) | 23.33 | |
| 9JD | JD SPORTS FASH | (0.01) | 1 per month | 0.00 | (0.11) | 4.49 | (4.95) | 11.50 | |
| RUZ | Universal Entertainment | 0.06 | 6 per month | 0.00 | (0.05) | 5.21 | (5.33) | 15.33 |
Other Forecasting Options for City Of
For every potential investor in City, whether a beginner or expert, City Of's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. City Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in City. Basic forecasting techniques help filter out the noise by identifying City Of's price trends.City Of 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 City Of stock to make a market-neutral strategy. Peer analysis of City Of could also be used in its relative valuation, which is a method of valuing City Of by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
City Of Market Strength Events
Market strength indicators help investors to evaluate how City Of stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading City Of shares will generate the highest return on investment. By undertsting and applying City Of stock market strength indicators, traders can identify The City of entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 6.49 | |||
| Day Typical Price | 6.49 | |||
| Price Action Indicator | 0.035 | |||
| Period Momentum Indicator | 0.07 |
City Of Risk Indicators
The analysis of City Of'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 City Of's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting city 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 | 1.01 | |||
| Semi Deviation | 1.15 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.08 | |||
| Downside Variance | 2.28 | |||
| Semi Variance | 1.32 | |||
| Expected Short fall | (1.16) |
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 City Of
The number of cover stories for City Of depends on current market conditions and City Of's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that City Of 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 City Of'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 City Stock
City Of financial ratios help investors to determine whether City 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 City with respect to the benefits of owning City Of security.