Santander Bank (Poland) Statistic Functions Pearson Correlation Coefficient

SPL Stock   443.00  2.50  0.57%   
Santander Bank statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against Santander Bank. Santander Bank 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 Pearson Correlation Coefficient function function is designed to identify and follow existing trends. Santander Bank 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.

Function
Time Period
Execute Function
The output start index for this execution was eleven with a total number of output elements of fifty. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Santander Bank Polska and its benchmark or peer.

Santander Bank Technical Analysis Modules

Most technical analysis of Santander Bank 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 Santander from various momentum indicators to cycle indicators. When you analyze Santander 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 Santander Bank 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 Santander Bank Polska. We use our internally-developed statistical techniques to arrive at the intrinsic value of Santander Bank Polska based on widely used predictive technical indicators. In general, we focus on analyzing Santander Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Santander Bank'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 Santander Bank's intrinsic value. In addition to deriving basic predictive indicators for Santander Bank, we also check how macroeconomic factors affect Santander Bank 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 Santander Bank'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
440.82443.00445.18
Details
Intrinsic
Valuation
LowRealHigh
361.08363.26487.30
Details
Naive
Forecast
LowNextHigh
428.91431.09433.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
425.73456.89488.05
Details

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Additional Tools for Santander Stock Analysis

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