Guggenheim Floating Rate Fund Cycle Indicators Hilbert Transform Dominant Cycle Period
| GIFCX Fund | USD 24.27 0.01 0.04% |
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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 Guggenheim Floating Rate price series in order to analyze variations of the instantaneous cycles.
Guggenheim Floating Technical Analysis Modules
Most technical analysis of Guggenheim Floating 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 Guggenheim from various momentum indicators to cycle indicators. When you analyze Guggenheim 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Guggenheim Floating 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 Guggenheim Floating Rate. We use our internally-developed statistical techniques to arrive at the intrinsic value of Guggenheim Floating Rate based on widely used predictive technical indicators. In general, we focus on analyzing Guggenheim Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Guggenheim Floating'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 Guggenheim Floating's intrinsic value. In addition to deriving basic predictive indicators for Guggenheim Floating, we also check how macroeconomic factors affect Guggenheim Floating price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Floating's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Guggenheim Floating in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Guggenheim Floating's short interest history, or implied volatility extrapolated from Guggenheim Floating options trading.
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Other Information on Investing in Guggenheim Mutual Fund
Guggenheim Floating financial ratios help investors to determine whether Guggenheim 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 Guggenheim with respect to the benefits of owning Guggenheim Floating security.
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