Columbia Short Term Fund Statistic Functions Beta
| CSTPX Fund | USD 12.06 0.02 0.17% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Columbia Short Term correlated with the market. If Beta is less than 0 Columbia Short generally moves in the opposite direction as compared to the market. If Columbia Short Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Columbia Short Term is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Columbia Short is generally in the same direction as the market. If Beta > 1 Columbia Short moves generally in the same direction as, but more than the movement of the benchmark.
Columbia Short Technical Analysis Modules
Most technical analysis of Columbia Short 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.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Columbia Short 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 Short Term. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia Short Term 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 Short's daily price indicators and compare them against related drivers, such as statistic functions 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 Short's intrinsic value. In addition to deriving basic predictive indicators for Columbia Short, we also check how macroeconomic factors affect Columbia Short price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in Columbia Mutual Fund
Columbia Short 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 Short security.
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