Retailing Fund Class Fund Technical Analysis
| RYRCX Fund | USD 45.85 0.22 0.48% |
As of the 2nd of February, Retailing Fund holds the Risk Adjusted Performance of 0.0194, semi deviation of 0.8615, and Coefficient Of Variation of 4315.89. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Retailing Fund, as well as the relationship between them.
Retailing Fund Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Retailing, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RetailingRetailing |
Retailing Fund '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 Retailing Fund'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 Retailing Fund.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Retailing Fund on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Retailing Fund Class or generate 0.0% return on investment in Retailing Fund over 90 days. Retailing Fund is related to or competes with Fidelity Series, Us Government, Us Government, and Prudential Government. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Retailing Compa... More
Retailing Fund 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 Retailing Fund'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 Retailing Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9297 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.65 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.68 |
Retailing Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Retailing Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Retailing Fund's standard deviation. In reality, there are many statistical measures that can use Retailing Fund historical prices to predict the future Retailing Fund's volatility.| Risk Adjusted Performance | 0.0194 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0126 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Retailing Fund'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.
Retailing Fund February 2, 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 | 0.0194 | |||
| Market Risk Adjusted Performance | 0.0226 | |||
| Mean Deviation | 0.7476 | |||
| Semi Deviation | 0.8615 | |||
| Downside Deviation | 0.9297 | |||
| Coefficient Of Variation | 4315.89 | |||
| Standard Deviation | 0.9772 | |||
| Variance | 0.955 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0126 | |||
| Maximum Drawdown | 4.65 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.68 | |||
| Downside Variance | 0.8643 | |||
| Semi Variance | 0.7423 | |||
| Expected Short fall | (0.85) | |||
| Skewness | 0.3897 | |||
| Kurtosis | 0.4863 |
Retailing Fund Class Backtested Returns
At this stage we consider Retailing Mutual Fund to be very steady. Retailing Fund Class maintains Sharpe Ratio (i.e., Efficiency) of 0.0678, which implies the entity had a 0.0678 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Retailing Fund Class, which you can use to evaluate the volatility of the fund. Please check Retailing Fund's Coefficient Of Variation of 4315.89, risk adjusted performance of 0.0194, and Semi Deviation of 0.8615 to confirm if the risk estimate we provide is consistent with the expected return of 0.0654%. The fund holds a Beta of 1.0, which implies a somewhat significant risk relative to the market. Retailing Fund returns are very sensitive to returns on the market. As the market goes up or down, Retailing Fund is expected to follow.
Auto-correlation | 0.09 |
Virtually no predictability
Retailing Fund Class has virtually no predictability. Overlapping area represents the amount of predictability between Retailing Fund time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 Retailing Fund Class price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Retailing Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 1.04 |
Retailing Fund 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.
Retailing Fund Class Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Retailing Fund Class volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Retailing Fund 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 Retailing Fund Class 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 Retailing Fund Class based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Retailing Fund Class price pattern first instead of the macroeconomic environment surrounding Retailing Fund Class. By analyzing Retailing Fund'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 Retailing Fund'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 Retailing Fund specific price patterns or momentum indicators. Please read more on our technical analysis page.
Retailing Fund February 2, 2026 Technical Indicators
Most technical analysis of Retailing 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 Retailing from various momentum indicators to cycle indicators. When you analyze Retailing 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 | 0.0194 | |||
| Market Risk Adjusted Performance | 0.0226 | |||
| Mean Deviation | 0.7476 | |||
| Semi Deviation | 0.8615 | |||
| Downside Deviation | 0.9297 | |||
| Coefficient Of Variation | 4315.89 | |||
| Standard Deviation | 0.9772 | |||
| Variance | 0.955 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0126 | |||
| Maximum Drawdown | 4.65 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.68 | |||
| Downside Variance | 0.8643 | |||
| Semi Variance | 0.7423 | |||
| Expected Short fall | (0.85) | |||
| Skewness | 0.3897 | |||
| Kurtosis | 0.4863 |
Retailing Fund February 2, 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 Retailing 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 | 45.85 | ||
| Day Typical Price | 45.85 | ||
| Price Action Indicator | (0.11) |
Other Information on Investing in Retailing Mutual Fund
Retailing Fund financial ratios help investors to determine whether Retailing 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 Retailing with respect to the benefits of owning Retailing Fund security.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum |