High Yield Strategy Fund Technical Analysis
| RYHGX Fund | USD 119.91 0.05 0.04% |
As of the 30th of January, High Yield retains the Downside Deviation of 0.2047, market risk adjusted performance of 0.0359, and Risk Adjusted Performance of 0.0257. Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of High Yield Strategy, as well as the relationship between them.
High Yield Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as High, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HighHigh |
High Yield '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 High Yield'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 High Yield.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in High Yield on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding High Yield Strategy or generate 0.0% return on investment in High Yield over 90 days. High Yield is related to or competes with High Yield, MFS High, Crm All, Mid-cap Growth, Tidal Trust, Dow Jones, and Ontrack Core. The fund will invest at least 80 percent of its net assets, plus any borrowings for investment purposes, in financial in... More
High Yield 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 High Yield'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 High Yield Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2047 | |||
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 0.9731 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3778 |
High Yield Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High Yield's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High Yield's standard deviation. In reality, there are many statistical measures that can use High Yield historical prices to predict the future High Yield's volatility.| Risk Adjusted Performance | 0.0257 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | 0.0259 |
High Yield January 30, 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 | 0.0257 | |||
| Market Risk Adjusted Performance | 0.0359 | |||
| Mean Deviation | 0.1425 | |||
| Semi Deviation | 0.1368 | |||
| Downside Deviation | 0.2047 | |||
| Coefficient Of Variation | 1415.26 | |||
| Standard Deviation | 0.2041 | |||
| Variance | 0.0417 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | 0.0259 | |||
| Maximum Drawdown | 0.9731 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3778 | |||
| Downside Variance | 0.0419 | |||
| Semi Variance | 0.0187 | |||
| Expected Short fall | (0.16) | |||
| Skewness | 0.0359 | |||
| Kurtosis | 1.29 |
High Yield Strategy Backtested Returns
At this stage we consider High Mutual Fund to be very steady. High Yield Strategy holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for High Yield Strategy, which you can use to evaluate the volatility of the entity. Please check out High Yield's Risk Adjusted Performance of 0.0257, downside deviation of 0.2047, and Market Risk Adjusted Performance of 0.0359 to validate if the risk estimate we provide is consistent with the expected return of 0.0271%. The fund retains a Market Volatility (i.e., Beta) of 0.17, which attests to not very significant fluctuations relative to the market. As returns on the market increase, High Yield's returns are expected to increase less than the market. However, during the bear market, the loss of holding High Yield is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
High Yield Strategy has below average predictability. Overlapping area represents the amount of predictability between High Yield time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 High Yield Strategy price movement. The serial correlation of 0.38 indicates that just about 38.0% of current High Yield price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
High Yield 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.
High Yield Strategy Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of High Yield Strategy volatility developed by Welles Wilder.
About High Yield 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 High Yield Strategy 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 High Yield Strategy based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on High Yield Strategy price pattern first instead of the macroeconomic environment surrounding High Yield Strategy. By analyzing High Yield'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 High Yield'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 High Yield specific price patterns or momentum indicators. Please read more on our technical analysis page.
High Yield January 30, 2026 Technical Indicators
Most technical analysis of High 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 High from various momentum indicators to cycle indicators. When you analyze High 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 | 0.0257 | |||
| Market Risk Adjusted Performance | 0.0359 | |||
| Mean Deviation | 0.1425 | |||
| Semi Deviation | 0.1368 | |||
| Downside Deviation | 0.2047 | |||
| Coefficient Of Variation | 1415.26 | |||
| Standard Deviation | 0.2041 | |||
| Variance | 0.0417 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | 0.0259 | |||
| Maximum Drawdown | 0.9731 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3778 | |||
| Downside Variance | 0.0419 | |||
| Semi Variance | 0.0187 | |||
| Expected Short fall | (0.16) | |||
| Skewness | 0.0359 | |||
| Kurtosis | 1.29 |
High Yield January 30, 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 High 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 | 119.91 | ||
| Day Typical Price | 119.91 | ||
| Price Action Indicator | 0.02 |
Other Information on Investing in High Mutual Fund
High Yield financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Yield security.
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