Clariant (Switzerland) Cycle Indicators Hilbert Transform Dominant Cycle Period

CLN Stock  CHF 10.64  0.23  2.12%   
Clariant cycle indicators tool provides the execution environment for running the Hilbert Transform Dominant Cycle Period indicator and other technical functions against Clariant. Clariant 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 Dominant Cycle Period 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 Clariant price series.

Indicator
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of Clariant AG price series in order to analyze variations of the instantaneous cycles.

Clariant Technical Analysis Modules

Most technical analysis of Clariant 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 Clariant from various momentum indicators to cycle indicators. When you analyze Clariant 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 Clariant 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 Clariant AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Clariant AG based on widely used predictive technical indicators. In general, we focus on analyzing Clariant Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Clariant'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 Clariant's intrinsic value. In addition to deriving basic predictive indicators for Clariant, we also check how macroeconomic factors affect Clariant price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
9.1310.6412.15
Details
Intrinsic
Valuation
LowRealHigh
7.949.4510.96
Details
Naive
Forecast
LowNextHigh
9.0110.5112.02
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.3211.5612.79
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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Clariant AG 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 Clariant 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 Clariant will appreciate offsetting losses from the drop in the long position's value.

Clariant Pair Trading

Clariant AG Pair Trading Analysis

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

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