Columbia Balanced Fund Overlap Studies Bollinger Bands

CBDRX Fund  USD 55.42  0.15  0.27%   
Columbia Balanced overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Columbia Balanced. Columbia Balanced 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 overlap studies indicators. As with most other technical indicators, the Bollinger Bands study function is designed to identify and follow existing trends. Columbia Balanced overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

Execute Study
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Columbia Balanced middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Columbia Balanced. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Columbia Balanced Technical Analysis Modules

Most technical analysis of Columbia Balanced 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 Balanced 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 Balanced Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia Balanced Fund 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 Balanced's daily price indicators and compare them against related drivers, such as overlap studies 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 Balanced's intrinsic value. In addition to deriving basic predictive indicators for Columbia Balanced, we also check how macroeconomic factors affect Columbia Balanced price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
54.9655.4255.88
Details
Intrinsic
Valuation
LowRealHigh
54.7255.1855.64
Details
Naive
Forecast
LowNextHigh
54.8055.2655.72
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
54.1155.0555.99
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.

Did you try this?

Run Options Analysis Now

   

Options Analysis

Analyze and evaluate options and option chains as a potential hedge for your portfolios
All  Next Launch Module

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

Columbia Balanced Pair Trading

Columbia Balanced Fund Pair Trading Analysis

The ability to find closely correlated positions to Columbia Balanced 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 Balanced 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 Balanced - 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 Balanced Fund to buy it.
The correlation of Columbia Balanced 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 Balanced moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Balanced 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 Balanced 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 Balanced 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 Balanced security.
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk