Columbia Seligman Munications Fund Momentum Indicators Moving Average Convergence Divergence

SCIOX Fund  USD 133.48  0.74  0.56%   
Columbia Seligman momentum indicators tool provides the execution environment for running the Moving Average Convergence Divergence indicator and other technical functions against Columbia Seligman. Columbia Seligman 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 momentum indicators indicators. As with most other technical indicators, the Moving Average Convergence Divergence indicator function is designed to identify and follow existing trends. Momentum indicators of Columbia Seligman are pattern recognition functions that provide distinct formation on Columbia Seligman potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Fast Period, Slow Period and Signal Period to execute this model.

The output start index for this execution was thirty-three with a total number of output elements of twenty-eight. The Moving Average Convergence/Divergence line is a predictive momentum indicator that shows the relationship between Columbia Seligman price series and its peer or benchmark.

Columbia Seligman Technical Analysis Modules

Most technical analysis of Columbia Seligman 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 Columbia from various momentum indicators to cycle indicators. When you analyze Columbia 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 Columbia Seligman 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 Columbia Seligman Munications. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia Seligman Munications based on widely used predictive technical indicators. In general, we focus on analyzing Columbia Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Columbia Seligman's daily price indicators and compare them against related drivers, such as momentum 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 Columbia Seligman's intrinsic value. In addition to deriving basic predictive indicators for Columbia Seligman, we also check how macroeconomic factors affect Columbia Seligman price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
132.31133.48134.65
Details
Intrinsic
Valuation
LowRealHigh
119.00120.17146.83
Details

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Columbia Seligman 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 Columbia Seligman 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 Columbia Seligman will appreciate offsetting losses from the drop in the long position's value.

Columbia Seligman Pair Trading

Columbia Seligman Munications Pair Trading Analysis

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

Other Information on Investing in Columbia Mutual Fund

Columbia Seligman financial ratios help investors to determine whether Columbia Mutual Fund 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 Columbia with respect to the benefits of owning Columbia Seligman security.
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