Ap Moeller Stock Statistic Functions Pearson Correlation Coefficient

AMKAF Stock  USD 1,679  159.47  10.49%   
AP Moeller statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against AP Moeller. AP Moeller 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. AP Moeller 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 thirteen with a total number of output elements of fourty-eight. 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 AP Moeller and its benchmark or peer.

AP Moeller Technical Analysis Modules

Most technical analysis of AP Moeller 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 AMKAF from various momentum indicators to cycle indicators. When you analyze AMKAF 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 AP Moeller 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 AP Moeller . We use our internally-developed statistical techniques to arrive at the intrinsic value of AP Moeller based on widely used predictive technical indicators. In general, we focus on analyzing AMKAF Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AP Moeller'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 AP Moeller's intrinsic value. In addition to deriving basic predictive indicators for AP Moeller, we also check how macroeconomic factors affect AP Moeller price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,6761,6791,682
Details
Intrinsic
Valuation
LowRealHigh
1,3351,3381,847
Details
Naive
Forecast
LowNextHigh
1,6101,6131,616
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,5261,5831,640
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AP Moeller. Your research has to be compared to or analyzed against AP Moeller's peers to derive any actionable benefits. When done correctly, AP Moeller's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in AP Moeller.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AP Moeller in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AP Moeller's short interest history, or implied volatility extrapolated from AP Moeller options trading.

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Other Information on Investing in AMKAF Pink Sheet

AP Moeller financial ratios help investors to determine whether AMKAF Pink Sheet 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 AMKAF with respect to the benefits of owning AP Moeller security.