Koninklijke Philips (Germany) Cycle Indicators Hilbert Transform SineWave

PHIA Stock  EUR 23.20  0.60  2.52%   
Koninklijke Philips cycle indicators tool provides the execution environment for running the Hilbert Transform SineWave indicator and other technical functions against Koninklijke Philips. Koninklijke Philips 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 cycle indicators indicators. As with most other technical indicators, the Hilbert Transform SineWave indicator function is designed to identify and follow existing trends. Cycle Indicators are used by chartists in order to analyze variations of the instantaneous phase or amplitude of Koninklijke Philips price series.

Indicator
The minimum time period for execution of this function requires larger time horizon. Please increase the time horizon for this function. The output start index for this execution was zero with a total number of output elements of zero. The Hilbert Transform - SineWave indicator is the sine of the Dominant Cycle Phase indicator which is used to generate in-phase and quadrature components of Koninklijke Philips price series.

Koninklijke Philips Technical Analysis Modules

Most technical analysis of Koninklijke Philips 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 Koninklijke from various momentum indicators to cycle indicators. When you analyze Koninklijke 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 Koninklijke Philips 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 Koninklijke Philips NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of Koninklijke Philips NV based on widely used predictive technical indicators. In general, we focus on analyzing Koninklijke Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Koninklijke Philips's daily price indicators and compare them against related drivers, such as cycle indicators 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 Koninklijke Philips's intrinsic value. In addition to deriving basic predictive indicators for Koninklijke Philips, we also check how macroeconomic factors affect Koninklijke Philips price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.000.001.80
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.80
Details
Naive
Forecast
LowNextHigh
21.5123.3125.11
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.9924.0825.18
Details

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Additional Tools for Koninklijke Stock Analysis

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