Guggenheim Floating Rate Fund Technical Analysis
| GIFPX Fund | USD 23.00 0.03 0.13% |
As of the 28th of February, Guggenheim Floating retains the Standard Deviation of 0.134, risk adjusted performance of (0.08), and Market Risk Adjusted Performance of (1.74). Guggenheim Floating technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Guggenheim Floating Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Guggenheim, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GuggenheimGuggenheim |
Guggenheim Floating 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Guggenheim Floating's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Guggenheim Floating.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Guggenheim Floating on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding Guggenheim Floating Rate or generate 0.0% return on investment in Guggenheim Floating over 90 days. Guggenheim Floating is related to or competes with Guggenheim Floating, Guggenheim Floating, Guggenheim Floating, Catalyst/princeton, Eaton Vance, Buffalo High, and Matthews Japan. The fund normally invests at least 80 percent of its assets in floating rate senior secured syndicated bank loans, floating rate revolving credit facilities, floating rate unsecured loans, floating rate asset backed securities, other floating rate bonds, loans, notes and other securities, fixed income instruments, and derivative instruments that provide exposure to floating rate or variable rate loans, obligations or other securities. More
Guggenheim Floating Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Guggenheim Floating's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Guggenheim Floating Rate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.72) | |||
| Maximum Drawdown | 0.8228 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.0862 |
Guggenheim Floating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Floating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Floating's standard deviation. In reality, there are many statistical measures that can use Guggenheim Floating historical prices to predict the future Guggenheim Floating's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.75) |
Guggenheim Floating February 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (1.74) | |||
| Mean Deviation | 0.0695 | |||
| Coefficient Of Variation | (2,067) | |||
| Standard Deviation | 0.134 | |||
| Variance | 0.018 | |||
| Information Ratio | (0.72) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.75) | |||
| Maximum Drawdown | 0.8228 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.0862 | |||
| Skewness | 2.65 | |||
| Kurtosis | 10.23 |
Guggenheim Floating Rate Backtested Returns
Guggenheim Floating Rate holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had a -0.13 % return per unit of risk over the last 3 months. Guggenheim Floating Rate exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Guggenheim Floating's Market Risk Adjusted Performance of (1.74), standard deviation of 0.134, and Risk Adjusted Performance of (0.08) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.0094, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Guggenheim Floating's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim Floating is expected to be smaller as well.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Guggenheim Floating Rate has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Floating time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Guggenheim Floating Rate price movement. The serial correlation of -0.72 indicates that around 72.0% of current Guggenheim Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Guggenheim Floating technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Guggenheim Floating Rate Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Guggenheim Floating Rate across different markets.
About Guggenheim Floating Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Guggenheim Floating Rate on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Guggenheim Floating Rate based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Guggenheim Floating Rate price pattern first instead of the macroeconomic environment surrounding Guggenheim Floating Rate. By analyzing Guggenheim Floating's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Guggenheim Floating's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Guggenheim Floating specific price patterns or momentum indicators. Please read more on our technical analysis page.
Guggenheim Floating February 28, 2026 Technical Indicators
Most technical analysis of Guggenheim 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 different 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 |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (1.74) | |||
| Mean Deviation | 0.0695 | |||
| Coefficient Of Variation | (2,067) | |||
| Standard Deviation | 0.134 | |||
| Variance | 0.018 | |||
| Information Ratio | (0.72) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.75) | |||
| Maximum Drawdown | 0.8228 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.0862 | |||
| Skewness | 2.65 | |||
| Kurtosis | 10.23 |
Guggenheim Floating Rate One Year Return
Based on the recorded statements, Guggenheim Floating Rate has an One Year Return of 2.6939%. This is 4.13% lower than that of the Guggenheim Investments family and significantly higher than that of the Bank Loan category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Guggenheim Floating February 28, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Guggenheim stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 23.00 | ||
| Day Typical Price | 23.00 | ||
| Price Action Indicator | (0.02) |
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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