Telecommunications Fund Class Fund Technical Analysis
| RYTLX Fund | USD 62.14 0.28 0.45% |
As of the 25th of January, Telecommunications has the Coefficient Of Variation of 1146.01, semi deviation of 1.09, and Risk Adjusted Performance of 0.067. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Telecommunications, as well as the relationship between them.
Telecommunications Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Telecommunications, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TelecommunicationsTelecommunications |
Telecommunications '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 Telecommunications' 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 Telecommunications.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Telecommunications on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Telecommunications Fund Class or generate 0.0% return on investment in Telecommunications over 90 days. Telecommunications is related to or competes with Fundamental Large, Wasatch Large, Dana Large, Transamerica Large, Tiaa Cref, American Mutual, and Dunham Large. The fund invests substantially all of its net assets in equity securities of Telecommunications Companies that are trade... More
Telecommunications 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 Telecommunications' 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 Telecommunications Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.0135 | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.62 |
Telecommunications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecommunications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecommunications' standard deviation. In reality, there are many statistical measures that can use Telecommunications historical prices to predict the future Telecommunications' volatility.| Risk Adjusted Performance | 0.067 | |||
| Jensen Alpha | 0.013 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.012 | |||
| Treynor Ratio | 0.081 |
Telecommunications January 25, 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 | 0.067 | |||
| Market Risk Adjusted Performance | 0.091 | |||
| Mean Deviation | 0.8445 | |||
| Semi Deviation | 1.09 | |||
| Downside Deviation | 1.19 | |||
| Coefficient Of Variation | 1146.01 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | 0.0135 | |||
| Jensen Alpha | 0.013 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.012 | |||
| Treynor Ratio | 0.081 | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.43 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | (0.86) | |||
| Skewness | (0.67) | |||
| Kurtosis | 0.3202 |
Telecommunications Backtested Returns
At this stage we consider Telecommunications Mutual Fund to be very steady. Telecommunications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0681, which indicates the fund had a 0.0681 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Telecommunications Fund Class, which you can use to evaluate the volatility of the fund. Please validate Telecommunications' Risk Adjusted Performance of 0.067, coefficient of variation of 1146.01, and Semi Deviation of 1.09 to confirm if the risk estimate we provide is consistent with the expected return of 0.0714%. The entity has a beta of 1.02, which indicates a somewhat significant risk relative to the market. Telecommunications returns are very sensitive to returns on the market. As the market goes up or down, Telecommunications is expected to follow.
Auto-correlation | -0.4 |
Poor reverse predictability
Telecommunications Fund Class has poor reverse predictability. Overlapping area represents the amount of predictability between Telecommunications time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th 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 Telecommunications price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Telecommunications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.84 |
Telecommunications 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.
Telecommunications Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Telecommunications volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Telecommunications 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 Telecommunications 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 Telecommunications Fund Class based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Telecommunications price pattern first instead of the macroeconomic environment surrounding Telecommunications. By analyzing Telecommunications'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 Telecommunications'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 Telecommunications specific price patterns or momentum indicators. Please read more on our technical analysis page.
Telecommunications January 25, 2026 Technical Indicators
Most technical analysis of Telecommunications 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 Telecommunications from various momentum indicators to cycle indicators. When you analyze Telecommunications 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 | 0.067 | |||
| Market Risk Adjusted Performance | 0.091 | |||
| Mean Deviation | 0.8445 | |||
| Semi Deviation | 1.09 | |||
| Downside Deviation | 1.19 | |||
| Coefficient Of Variation | 1146.01 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.13 | |||
| Information Ratio | 0.0135 | |||
| Jensen Alpha | 0.013 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.012 | |||
| Treynor Ratio | 0.081 | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.43 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | (0.86) | |||
| Skewness | (0.67) | |||
| Kurtosis | 0.3202 |
Telecommunications January 25, 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 Telecommunications 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 | 62.14 | ||
| Day Typical Price | 62.14 | ||
| Price Action Indicator | (0.14) |
Other Information on Investing in Telecommunications Mutual Fund
Telecommunications financial ratios help investors to determine whether Telecommunications 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 Telecommunications with respect to the benefits of owning Telecommunications security.
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