SF Urban Stock Forward View - Polynomial Regression
| SFPN Stock | CHF 106.00 1.00 0.95% |
SFPN Stock outlook is based on your current time horizon.
At this time, The relative strength index (RSI) of SF Urban's share price is at 56. This usually implies that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling SF Urban, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 2.564 | EPS Estimate Current Year 3.9 | EPS Estimate Next Year 3.62 | Wall Street Target Price 110 | Quarterly Revenue Growth 0.333 |
Using SF Urban hype-based prediction, you can estimate the value of SF Urban Properties from the perspective of SF Urban response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of SF Urban Properties on the next trading day is expected to be 104.45 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 45.65. SF Urban after-hype prediction price | CHF 105.96 |
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.
SFPN |
SF Urban Additional Predictive Modules
Most predictive techniques to examine SFPN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SFPN using various technical indicators. When you analyze SFPN 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 |
SF Urban Polynomial Regression Price Forecast For the 20th of February
Given 90 days horizon, the Polynomial Regression forecasted value of SF Urban Properties on the next trading day is expected to be 104.45 with a mean absolute deviation of 0.74, mean absolute percentage error of 1.00, and the sum of the absolute errors of 45.65.Please note that although there have been many attempts to predict SFPN 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 SF Urban's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SF Urban Stock Forecast Pattern
| Backtest SF Urban | SF Urban Price Prediction | Research Analysis |
SF Urban Forecasted Value
In the context of forecasting SF Urban'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. SF Urban's downside and upside margins for the forecasting period are 103.64 and 105.26, respectively. We have considered SF Urban'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SF Urban stock data series using in forecasting. Note that when a statistical model is used to represent SF Urban 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 | 119.9493 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7362 |
| MAPE | Mean absolute percentage error | 0.0071 |
| SAE | Sum of the absolute errors | 45.6468 |
Predictive Modules for SF Urban
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SF Urban Properties. 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.SF Urban After-Hype Price Density Analysis
As far as predicting the price of SF Urban 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 SF Urban 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 SF Urban, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SF Urban Estimiated After-Hype Price Volatility
In the context of predicting SF Urban's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SF Urban's historical news coverage. SF Urban's after-hype downside and upside margins for the prediction period are 105.15 and 106.77, respectively. We have considered SF Urban'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
SF Urban is very steady at this time. Analysis and calculation of next after-hype price of SF Urban Properties is based on 3 months time horizon.
SF Urban Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SF Urban is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SF Urban 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 SF Urban, 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 |
0.13 | 0.81 | 0.04 | 0.28 | 1 Events / Month | 2 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
106.00 | 105.96 | 0.04 |
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SF Urban Hype Timeline
SF Urban Properties is at this time traded for 106.00on SIX Swiss Exchange of Switzerland. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of -0.28. SFPN is anticipated to decline in value after the next headline, with the price expected to drop to 105.96. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.04%, whereas the daily expected return is at this time at 0.13%. The volatility of related hype on SF Urban is about 37.4%, with the expected price after the next announcement by competition of 105.72. About 28.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.61. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. SF Urban Properties recorded earning per share (EPS) of 9.19. The entity last dividend was issued on the 14th of April 2025. The firm had 885:878 split on the 23rd of June 2017. Assuming the 90 days trading horizon the next anticipated press release will be very soon. Check out Historical Fundamental Analysis of SF Urban to cross-verify your projections.SF Urban Related Hype Analysis
Having access to credible news sources related to SF Urban's direct competition is more important than ever and may enhance your ability to predict SF Urban's future price movements. Getting to know how SF Urban'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 SF Urban may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PEAN | Peach Property Group | (0.04) | 1 per month | 0.00 | (0.08) | 2.40 | (2.17) | 6.56 | |
| NREN | Novavest Real Estate | 0.00 | 3 per month | 0.36 | 0.06 | 1.01 | (1.00) | 2.53 | |
| FREN | Fundamenta Real Estate | 0.05 | 3 per month | 0.07 | 0.14 | 1.16 | (0.57) | 2.58 | |
| ZUBN | Zueblin Immobilien Holding | 0.00 | 0 per month | 2.35 | 0.04 | 4.07 | (4.29) | 13.57 | |
| VARN | Varia Properties | 0.20 | 4 per month | 0.00 | (0.07) | 3.70 | (2.70) | 12.58 | |
| WARN | Warteck Invest | (10.00) | 4 per month | 0.37 | (0.05) | 1.04 | (0.76) | 2.07 | |
| PLAN | Plazza AG | 0.60 | 8 per month | 0.00 | 0.25 | 0.75 | (0.46) | 2.35 | |
| ZUGN | Zug Estates Holding | (10.00) | 4 per month | 1.03 | 0.13 | 2.24 | (1.85) | 6.29 | |
| IREN | Investis Holding SA | (0.30) | 9 per month | 0.00 | 0.32 | 1.44 | (0.65) | 3.31 |
Other Forecasting Options for SF Urban
For every potential investor in SFPN, whether a beginner or expert, SF Urban's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SFPN Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SFPN. Basic forecasting techniques help filter out the noise by identifying SF Urban's price trends.SF Urban 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 SF Urban stock to make a market-neutral strategy. Peer analysis of SF Urban could also be used in its relative valuation, which is a method of valuing SF Urban by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SF Urban Market Strength Events
Market strength indicators help investors to evaluate how SF Urban stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SF Urban shares will generate the highest return on investment. By undertsting and applying SF Urban stock market strength indicators, traders can identify SF Urban Properties entry and exit signals to maximize returns.
SF Urban Risk Indicators
The analysis of SF Urban'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 SF Urban's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sfpn 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 | 0.4971 | |||
| Semi Deviation | 0.3472 | |||
| Standard Deviation | 0.7747 | |||
| Variance | 0.6001 | |||
| Downside Variance | 0.4728 | |||
| Semi Variance | 0.1206 | |||
| Expected Short fall | (0.73) |
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 SF Urban
The number of cover stories for SF Urban depends on current market conditions and SF Urban's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SF Urban 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 SF Urban'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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SF Urban Short Properties
SF Urban's future price predictability will typically decrease when SF Urban's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SF Urban Properties often depends not only on the future outlook of the potential SF Urban'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. SF Urban's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.4 M | |
| Cash And Short Term Investments | 4.3 M |
Additional Tools for SFPN Stock Analysis
When running SF Urban's price analysis, check to measure SF Urban's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SF Urban is operating at the current time. Most of SF Urban's value examination focuses on studying past and present price action to predict the probability of SF Urban's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SF Urban's price. Additionally, you may evaluate how the addition of SF Urban to your portfolios can decrease your overall portfolio volatility.