Financial Services Fund Technical Analysis
| RYFIX Fund | USD 103.29 0.49 0.48% |
As of the 17th of February 2026, Financial Services shows the Mean Deviation of 0.6813, coefficient of variation of 11985.28, and Downside Deviation of 0.9408. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Financial Services, as well as the relationship between them.
Financial Services Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FINANCIAL, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FINANCIALFINANCIAL |
Financial Services '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 Financial Services' 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 Financial Services.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Financial Services on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Financial Services Fund or generate 0.0% return on investment in Financial Services over 90 days. Financial Services is related to or competes with Leisure Fund, Leisure Fund, First Trust/confluence, Telecommunications, Teton Convertible, Energy Fund, and Guggenheim Multi-hedge. The fund invests substantially all of its net assets in equity securities of Financial Services Companies that are trade... More
Financial Services 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 Financial Services' 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 Financial Services Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9408 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.34 |
Financial Services Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial Services' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial Services' standard deviation. In reality, there are many statistical measures that can use Financial Services historical prices to predict the future Financial Services' volatility.| Risk Adjusted Performance | 0.0076 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) |
Financial Services February 17, 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 | 0.0076 | |||
| Market Risk Adjusted Performance | 0.0072 | |||
| Mean Deviation | 0.6813 | |||
| Semi Deviation | 0.9068 | |||
| Downside Deviation | 0.9408 | |||
| Coefficient Of Variation | 11985.28 | |||
| Standard Deviation | 0.8797 | |||
| Variance | 0.7739 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.34 | |||
| Downside Variance | 0.8851 | |||
| Semi Variance | 0.8223 | |||
| Expected Short fall | (0.69) | |||
| Skewness | (0.20) | |||
| Kurtosis | 0.1108 |
Financial Services Backtested Returns
At this stage we consider FINANCIAL Mutual Fund to be very steady. Financial Services secures Sharpe Ratio (or Efficiency) of 0.0639, which denotes the fund had a 0.0639 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Financial Services Fund, which you can use to evaluate the volatility of the entity. Please confirm Financial Services' Mean Deviation of 0.6813, downside deviation of 0.9408, and Coefficient Of Variation of 11985.28 to check if the risk estimate we provide is consistent with the expected return of 0.0544%. The fund shows a Beta (market volatility) of 0.94, which means possible diversification benefits within a given portfolio. Financial Services returns are very sensitive to returns on the market. As the market goes up or down, Financial Services is expected to follow.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
Financial Services Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Financial Services time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Financial Services price movement. The serial correlation of -0.79 indicates that around 79.0% of current Financial Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 2.35 |
Financial Services 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.
Financial Services Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Financial Services volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Financial Services 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 Financial Services Fund 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 Financial Services Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Financial Services price pattern first instead of the macroeconomic environment surrounding Financial Services. By analyzing Financial Services'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 Financial Services'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 Financial Services specific price patterns or momentum indicators. Please read more on our technical analysis page.
Financial Services February 17, 2026 Technical Indicators
Most technical analysis of FINANCIAL 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 FINANCIAL from various momentum indicators to cycle indicators. When you analyze FINANCIAL 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 | 0.0076 | |||
| Market Risk Adjusted Performance | 0.0072 | |||
| Mean Deviation | 0.6813 | |||
| Semi Deviation | 0.9068 | |||
| Downside Deviation | 0.9408 | |||
| Coefficient Of Variation | 11985.28 | |||
| Standard Deviation | 0.8797 | |||
| Variance | 0.7739 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.34 | |||
| Downside Variance | 0.8851 | |||
| Semi Variance | 0.8223 | |||
| Expected Short fall | (0.69) | |||
| Skewness | (0.20) | |||
| Kurtosis | 0.1108 |
Financial Services February 17, 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 FINANCIAL 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 | 103.29 | ||
| Day Typical Price | 103.29 | ||
| Price Action Indicator | 0.25 |
Other Information on Investing in FINANCIAL Mutual Fund
Financial Services financial ratios help investors to determine whether FINANCIAL 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 FINANCIAL with respect to the benefits of owning Financial Services security.
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