Inverse High Yield Fund Technical Analysis
| RYIHX Fund | USD 48.78 -0.17 -0.35% |
As of the 18th of March 2026, INVERSE HIGH reflects a market price of 48.78 per share. Current technical metrics show Risk Adjusted Performance of 0.091, coefficient of variation of 675.57, and Market Risk Adjusted Performance of -0.14. Technical analytics evaluate momentum, liquidity, and volatility relationships. Current statistics are evaluated within a broader sector context.
INVERSE HIGH Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as INVERSE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to INVERSEINVERSE |
What if' Analysis
Backtesting a what-if scenario on Inverse High Yield helps investors see how the fund may have behaved if the position had been entered, held, or resized under different historical assumptions. Used properly, this review helps investors decide whether INVERSE HIGH's historical reward profile was stable enough to support the current thesis.
| 12/18/2025 |
| 03/18/2026 |
If you invested 0.00 in INVERSE HIGH on December 18, 2025 and closed the position today, you would earn 0.00 in net gains. In total, that is a 0.0% net return in INVERSE HIGH on balance across 90 days. INVERSE HIGH competes with or is related to FEDERATED MUNICIPAL, MEDIUM DURATION, Ambrus Core, and TAXABLE MUNICIPAL. The comparison helps frame competitive context. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus any borrowings for investme... More
Upside and Downside Indicators for INVERSE HIGH Snapshot
Upside and downside indicators for INVERSE HIGH summarize momentum balance and potential range context for the fund. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 0.2265 | |||
| Information Ratio | 0.2882 | |||
| Maximum Drawdown | 1.45 | |||
| Value At Risk | -0.35 | |||
| Potential Upside | 0.4533 |
INVERSE HIGH Market Risk Indicators Snapshot
Market risk indicators summarize volatility and return dispersion for INVERSE HIGH. The indicators highlight how volatility has behaved across recent periods.| Risk Adjusted Performance | 0.091 | |||
| Jensen Alpha | 0.0163 | |||
| Total Risk Alpha | 0.034 | |||
| Sortino Ratio | 0.2801 | |||
| Treynor Ratio | -0.15 |
Experienced investors tracking INVERSE HIGH's watch for mean reversion setups: periods when price has deviated significantly from its long-run average, creating an asymmetric risk-reward profile for patient capital.
Technical Indicators
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.091 | |||
| Market Risk Adjusted Performance | -0.14 | |||
| Mean Deviation | 0.1436 | |||
| Downside Deviation | 0.2265 | |||
| Coefficient Of Variation | 675.57 | |||
| Standard Deviation | 0.2201 | |||
| Variance | 0.0484 | |||
| Information Ratio | 0.2882 | |||
| Jensen Alpha | 0.0163 | |||
| Total Risk Alpha | 0.034 | |||
| Sortino Ratio | 0.2801 | |||
| Treynor Ratio | -0.15 | |||
| Maximum Drawdown | 1.45 | |||
| Value At Risk | -0.35 | |||
| Potential Upside | 0.4533 | |||
| Downside Variance | 0.0513 | |||
| Semi Variance | -0.0029 | |||
| Expected Short fall | -0.16 | |||
| Skewness | 0.5672 | |||
| Kurtosis | 3.39 |
Inverse High Yield Backtested Returns
INVERSE HIGH maintains a very low volatility profile during the selected period. It maintains a Sharpe Ratio of 0.17, suggesting a return-to-volatility ratio of 0.17. Indicator analysis identified twenty-six signals affecting performance dispersion. Please examine metrics such as risk-adjusted performance of 0.091, coefficient of variation of 675.57, and market risk-adjusted performance of -0.14 to confirm alignment between technical signals and risk metrics. The fund retains a Market Volatility (i.e., Beta) of -0.15, which attests to relatively modest fluctuations relative to the market. As returns on the market increase, returns on INVERSE HIGH tend to move in the opposite direction, though by a smaller magnitude. During a bear market, however, INVERSE HIGH is likely to outperform the market.
Auto-correlation | 0.71 |
Good predictability
The autocorrelation profile for Inverse High Yield registers good predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Inverse High Yield's near-term price behavior. A serial correlation of 0.71 indicates that around 71.0% of current INVERSE HIGH price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Technical analysis for INVERSE HIGH examines price and volume behavior across market regimes. Common inputs include moving averages, RSI, regressions, and price-return correlations.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Inverse High Yield volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of INVERSE HIGH focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Moving averages smooth short-term dispersion and highlight trend alignment.
Reported values for Inverse High Yield are derived from fund disclosures and market reference feeds and then standardized by Macroaxis analytics. Refresh times depend on source availability.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardINVERSE HIGH Technical Indicators
Investors following Inverse High Yield often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.091 | |||
| Market Risk Adjusted Performance | -0.14 | |||
| Mean Deviation | 0.1436 | |||
| Downside Deviation | 0.2265 | |||
| Coefficient Of Variation | 675.57 | |||
| Standard Deviation | 0.2201 | |||
| Variance | 0.0484 | |||
| Information Ratio | 0.2882 | |||
| Jensen Alpha | 0.0163 | |||
| Total Risk Alpha | 0.034 | |||
| Sortino Ratio | 0.2801 | |||
| Treynor Ratio | -0.15 | |||
| Maximum Drawdown | 1.45 | |||
| Value At Risk | -0.35 | |||
| Potential Upside | 0.4533 | |||
| Downside Variance | 0.0513 | |||
| Semi Variance | -0.0029 | |||
| Expected Short fall | -0.16 | |||
| Skewness | 0.5672 | |||
| Kurtosis | 3.39 |
March 18, 2026 Daily Trend Indicators
Investors following Inverse High Yield often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 48.78 | ||
| Day Typical Price | 48.78 | ||
| Price Action Indicator | -0.09 |