Sl Green Realty Preferred Stock Math Operators Price Series Division

SLG-PI Preferred Stock  USD 23.79  0.24  1.02%   
SL Green math operators tool provides the execution environment for running the Price Series Division operator and other technical functions against SL Green. SL Green value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math operators indicators. As with most other technical indicators, the Price Series Division operator function is designed to identify and follow existing trends. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and SL Green.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. SL Green Realty Price Series Division is a division of SL Green price series and its benchmark/peer.

SL Green Technical Analysis Modules

Most technical analysis of SL Green help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SLG-PI from various momentum indicators to cycle 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.

About SL Green Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SL Green Realty. We use our internally-developed statistical techniques to arrive at the intrinsic value of SL Green Realty based on widely used predictive technical indicators. In general, we focus on analyzing SLG-PI Preferred Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SL Green's daily price indicators and compare them against related drivers, such as math operators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of SL Green's intrinsic value. In addition to deriving basic predictive indicators for SL Green, we also check how macroeconomic factors affect SL Green price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
22.9923.7924.59
Details
Intrinsic
Valuation
LowRealHigh
22.9323.7324.53
Details

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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SL Green Realty pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SL Green position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SL Green will appreciate offsetting losses from the drop in the long position's value.

SL Green Pair Trading

SL Green Realty Pair Trading Analysis

The ability to find closely correlated positions to SL Green could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SL Green when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SL Green - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SL Green Realty to buy it.
The correlation of SL Green is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SL Green moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SL Green Realty moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SL Green can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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.