SL Green Preferred Stock Forward View - Simple Exponential Smoothing
| SLG-PI Preferred Stock | USD 22.11 0.12 0.54% |
SLG-PI Preferred Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of SL Green's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 20th of February 2026, the value of RSI of SL Green's share price is approaching 48. This usually implies that the preferred stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling SL Green, making its price go up or down. Momentum 48
Impartial
Oversold | Overbought |
Using SL Green hype-based prediction, you can estimate the value of SL Green Realty from the perspective of SL Green response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of SL Green Realty on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.49. SL Green after-hype prediction price | USD 22.11 |
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 preferred stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SLG-PI |
SL Green Additional Predictive Modules
Most predictive techniques to examine SLG-PI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SLG-PI using various technical indicators. When you analyze SLG-PI 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 |
SL Green Simple Exponential Smoothing Price Forecast For the 21st of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SL Green Realty on the next trading day is expected to be 22.11 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.49.Please note that although there have been many attempts to predict SLG-PI Preferred 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 SL Green's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SL Green Preferred Stock Forecast Pattern
| Backtest SL Green | SL Green Price Prediction | Research Analysis |
SL Green Forecasted Value
In the context of forecasting SL Green's Preferred 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. SL Green's downside and upside margins for the forecasting period are 21.27 and 22.95, respectively. We have considered SL Green'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 SL Green preferred stock data series using in forecasting. Note that when a statistical model is used to represent SL Green preferred 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 | 112.9204 |
| Bias | Arithmetic mean of the errors | -0.0332 |
| MAD | Mean absolute deviation | 0.1415 |
| MAPE | Mean absolute percentage error | 0.0065 |
| SAE | Sum of the absolute errors | 8.49 |
Predictive Modules for SL Green
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SL Green Realty. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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.SL Green After-Hype Price Density Analysis
As far as predicting the price of SL Green 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 SL Green 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 Preferred Stock prices, such as prices of SL Green, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SL Green Estimiated After-Hype Price Volatility
In the context of predicting SL Green's preferred stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SL Green's historical news coverage. SL Green's after-hype downside and upside margins for the prediction period are 21.27 and 22.95, respectively. We have considered SL Green'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
SL Green is very steady at this time. Analysis and calculation of next after-hype price of SL Green Realty is based on 3 months time horizon.
SL Green Preferred Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SL Green is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SL Green 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 Preferred 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 SL Green, 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 | 0.84 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.11 | 22.11 | 0.00 |
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SL Green Hype Timeline
SL Green Realty is at this time traded for 22.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SLG-PI is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.13%. %. The volatility of related hype on SL Green is about 0.0%, with the expected price after the next announcement by competition of 22.11. About 22.0% of the company shares are owned by institutional investors. The company recorded earning per share (EPS) of 6.77. SL Green Realty last dividend was issued on the 19th of December 2022. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of SL Green to cross-verify your projections.SL Green Related Hype Analysis
Having access to credible news sources related to SL Green's direct competition is more important than ever and may enhance your ability to predict SL Green's future price movements. Getting to know how SL Green'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 SL Green may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VNO-PL | Vornado Realty Trust | 0.00 | 0 per month | 0.56 | 0.02 | 0.95 | (1.06) | 2.78 | |
| VNO-PO | Vornado Realty Trust | 0.00 | 0 per month | 0.35 | 0.04 | 0.96 | (0.75) | 2.86 | |
| VNO-PM | Vornado Realty Trust | 0.00 | 0 per month | 0.51 | 0.01 | 1.37 | (0.87) | 3.21 | |
| HPP-PC | Hudson Pacific Properties | 0.00 | 0 per month | 0.89 | (0.04) | 1.73 | (1.38) | 4.80 | |
| KIM-PM | Kimco Realty | 0.00 | 0 per month | 0.42 | (0.04) | 0.82 | (0.83) | 2.48 | |
| KIM-PL | Kimco Realty | 0.00 | 0 per month | 0.55 | (0.06) | 0.64 | (0.64) | 3.15 | |
| FRT-PC | Federal Realty Investment | 0.00 | 0 per month | 0.54 | (0.10) | 0.91 | (0.76) | 2.64 |
Other Forecasting Options for SL Green
For every potential investor in SLG-PI, whether a beginner or expert, SL Green's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SLG-PI Preferred Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SLG-PI. Basic forecasting techniques help filter out the noise by identifying SL Green's price trends.SL Green 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 SL Green preferred stock to make a market-neutral strategy. Peer analysis of SL Green could also be used in its relative valuation, which is a method of valuing SL Green by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SL Green Market Strength Events
Market strength indicators help investors to evaluate how SL Green preferred stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SL Green shares will generate the highest return on investment. By undertsting and applying SL Green preferred stock market strength indicators, traders can identify SL Green Realty entry and exit signals to maximize returns.
SL Green Risk Indicators
The analysis of SL Green'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 SL Green's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting slg-pi preferred 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 | 0.6708 | |||
| Semi Deviation | 0.7068 | |||
| Standard Deviation | 0.8668 | |||
| Variance | 0.7513 | |||
| Downside Variance | 0.6652 | |||
| Semi Variance | 0.4996 | |||
| Expected Short fall | (0.75) |
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 SL Green
The number of cover stories for SL Green depends on current market conditions and SL Green's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SL Green 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 SL Green'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 SLG-PI Preferred Stock
SL Green financial ratios help investors to determine whether SLG-PI Preferred 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 SLG-PI with respect to the benefits of owning SL Green security.