Kering Sa Stock Statistic Functions Linear Regression Slope

PPRUY Stock  USD 21.81  0.03  0.14%   
Kering SA statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Kering SA. Kering SA 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Kering SA statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was eleven with a total number of output elements of fifty. The Linear Regression Slope is the rate of change in Kering SA price series over its benchmark or peer price series.

Kering SA Technical Analysis Modules

Most technical analysis of Kering SA 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 Kering from various momentum indicators to cycle indicators. When you analyze Kering 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 Kering SA 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 Kering SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Kering SA based on widely used predictive technical indicators. In general, we focus on analyzing Kering Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Kering SA's daily price indicators and compare them against related drivers, such as statistic functions 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 Kering SA's intrinsic value. In addition to deriving basic predictive indicators for Kering SA, we also check how macroeconomic factors affect Kering SA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kering SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
18.8921.8124.73
Details
Intrinsic
Valuation
LowRealHigh
20.8423.7626.68
Details
Naive
Forecast
LowNextHigh
17.3020.2223.14
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.7921.8221.85
Details

Learn to be your own money manager

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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Kering SA 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 Kering SA 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 Kering SA will appreciate offsetting losses from the drop in the long position's value.

Kering SA Pair Trading

Kering SA Pair Trading Analysis

The ability to find closely correlated positions to Kering SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kering SA 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 Kering SA - 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 Kering SA to buy it.
The correlation of Kering SA 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 Kering SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kering SA 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 Kering SA 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

Additional Tools for Kering Pink Sheet Analysis

When running Kering SA's price analysis, check to measure Kering SA'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 Kering SA is operating at the current time. Most of Kering SA's value examination focuses on studying past and present price action to predict the probability of Kering SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kering SA's price. Additionally, you may evaluate how the addition of Kering SA to your portfolios can decrease your overall portfolio volatility.