SL Green Stock Forecast - Simple Regression

SLG Stock  USD 45.87  0.35  0.76%   
The Simple Regression forecasted value of SL Green Realty on the next trading day is expected to be 42.06 with a mean absolute deviation of 1.61 and the sum of the absolute errors of 97.97. SLG Stock Forecast is based on your current time horizon. We recommend 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 2nd of January 2026 the relative strength index (rsi) of SL Green's share price is below 20 . This usually implies 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
The successful prediction of SL Green's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of SL Green and does not consider all of the tangible or intangible factors available from SL Green's fundamental data. We analyze noise-free headlines and recent hype associated with SL Green Realty, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting SL Green's stock price prediction:
Quarterly Earnings Growth
(0.98)
EPS Estimate Next Quarter
0.0463
EPS Estimate Current Year
(0.96)
EPS Estimate Next Year
(2.69)
Wall Street Target Price
54.9474
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. We also analyze overall investor sentiment towards SL Green using SL Green's stock options and short interest. It helps to benchmark the overall future attitude of investors towards SLG using crowd psychology based on the activity and movement of SL Green's stock price.

SL Green Short Interest

A significant increase or decrease in SL Green's short interest from the previous month could be a good indicator of investor sentiment towards SLG. Short interest can provide insight into the potential direction of SL Green stock and how bullish or bearish investors feel about the market overall.
200 Day MA
55.4031
Short Percent
0.1711
Short Ratio
5.32
Shares Short Prior Month
7.9 M
50 Day MA
47.2894

SL Green Realty Hype to Price Pattern

Investor biases related to SL Green's public news can be used to forecast risks associated with an investment in SLG. The trend in average sentiment can be used to explain how an investor holding SLG can time the market purely based on public headlines and social activities around SL Green Realty. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of SL Green's market sentiment to its price can help taders to make decisions based on the overall investors consensus about SL Green.

SL Green Implied Volatility

    
  0.69  
SL Green's implied volatility exposes the market's sentiment of SL Green Realty stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if SL Green's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that SL Green stock will not fluctuate a lot when SL Green's options are near their expiration.
The Simple Regression forecasted value of SL Green Realty on the next trading day is expected to be 42.06 with a mean absolute deviation of 1.61 and the sum of the absolute errors of 97.97.

SL Green after-hype prediction price

    
  USD 45.87  
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.
Check out Historical Fundamental Analysis of SL Green to cross-verify your projections.
At this time, SL Green's Fixed Asset Turnover is most likely to increase slightly in the upcoming years. The SL Green's current Asset Turnover is estimated to increase to 0.12, while Payables Turnover is projected to decrease to 4.04. . The current Common Stock Shares Outstanding is estimated to decrease to about 68.9 M. The current Net Income Applicable To Common Shares is estimated to decrease to about 4.4 M.

Open Interest Against 2026-02-20 SLG Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast SL Green's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in SL Green's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SL Green stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SL Green's open interest, investors have to compare it to SL Green's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of SL Green is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SLG. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

SL Green Additional Predictive Modules

Most predictive techniques to examine SLG 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 using various technical indicators. When you analyze SLG 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through SL Green price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

SL Green Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of SL Green Realty on the next trading day is expected to be 42.06 with a mean absolute deviation of 1.61, mean absolute percentage error of 4.69, and the sum of the absolute errors of 97.97.
Please note that although there have been many attempts to predict SLG Stock prices using its time series forecasting, we generally do not recommend 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 Stock Forecast Pattern

Backtest SL GreenSL Green Price PredictionBuy or Sell Advice 

SL Green Forecasted Value

In the context of forecasting SL Green'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. SL Green's downside and upside margins for the forecasting period are 39.86 and 44.27, 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.
Market Value
45.87
42.06
Expected Value
44.27
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of SL Green stock data series using in forecasting. Note that when a statistical model is used to represent SL Green 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.
AICAkaike Information Criteria119.6552
BiasArithmetic mean of the errors None
MADMean absolute deviation1.606
MAPEMean absolute percentage error0.0342
SAESum of the absolute errors97.9664
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as SL Green Realty historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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 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.
Hype
Prediction
LowEstimatedHigh
43.6845.8748.06
Details
Intrinsic
Valuation
LowRealHigh
36.3438.5350.46
Details
Bollinger
Band Projection (param)
LowMiddleHigh
42.1845.0247.86
Details
18 Analysts
Consensus
LowTargetHigh
50.0054.9560.99
Details

Other Forecasting Options for SL Green

For every potential investor in SLG, 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 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SLG. 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 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 Realty Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SL Green's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SL Green's current price.

SL Green Market Strength Events

Market strength indicators help investors to evaluate how SL Green 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 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 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.
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.

Currently Active Assets on Macroaxis

When determining whether SL Green Realty is a strong investment it is important to analyze SL Green's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SL Green's future performance. For an informed investment choice regarding SLG Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of SL Green to cross-verify your projections.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Is Diversified REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SL Green. If investors know SLG will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SL Green listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.98)
Dividend Share
3.075
Earnings Share
0.02
Revenue Per Share
9.506
Quarterly Revenue Growth
0.099
The market value of SL Green Realty is measured differently than its book value, which is the value of SLG that is recorded on the company's balance sheet. Investors also form their own opinion of SL Green's value that differs from its market value or its book value, called intrinsic value, which is SL Green's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SL Green's market value can be influenced by many factors that don't directly affect SL Green's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SL Green's value and its price as these two are different measures arrived at by different means. Investors typically determine if SL Green is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SL Green's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.