Columbia Adaptive Risk Fund Momentum Indicators Stochastic

CRAAX Fund  USD 10.01  0.01  0.10%   
Columbia Adaptive momentum indicators tool provides the execution environment for running the Stochastic indicator and other technical functions against Columbia Adaptive. Columbia Adaptive 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 Stochastic indicator function is designed to identify and follow existing trends. Momentum indicators of Columbia Adaptive are pattern recognition functions that provide distinct formation on Columbia Adaptive 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 the following input to run this model: Fast-K Period, Slow-K Period, Slow-K MA, Slow-D Period, and Slow-D MA.

The output start index for this execution was eight with a total number of output elements of fifty-three. The Stochastic indicator compares Columbia Adaptive closing price to its price range over a given period of time.

Columbia Adaptive Technical Analysis Modules

Most technical analysis of Columbia Adaptive 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 Adaptive 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 Adaptive Risk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia Adaptive Risk 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 Adaptive'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 Adaptive's intrinsic value. In addition to deriving basic predictive indicators for Columbia Adaptive, we also check how macroeconomic factors affect Columbia Adaptive price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
9.5810.0010.42
Details
Intrinsic
Valuation
LowRealHigh
9.549.9610.38
Details
Naive
Forecast
LowNextHigh
9.559.9710.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.899.9610.04
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Columbia Adaptive. Your research has to be compared to or analyzed against Columbia Adaptive's peers to derive any actionable benefits. When done correctly, Columbia Adaptive'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 Columbia Adaptive Risk.

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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Analyst Advice

Analyst recommendations and target price estimates broken down by several categories
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Columbia Adaptive Risk 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 Adaptive 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 Adaptive will appreciate offsetting losses from the drop in the long position's value.

Columbia Adaptive Pair Trading

Columbia Adaptive Risk Pair Trading Analysis

The ability to find closely correlated positions to Columbia Adaptive 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 Adaptive 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 Adaptive - 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 Adaptive Risk to buy it.
The correlation of Columbia Adaptive 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 Adaptive moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Adaptive Risk 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 Adaptive 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 Adaptive 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 Adaptive security.
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