Banking Fund Class Fund Technical Analysis
| RYBKX Fund | USD 107.42 2.30 2.10% |
As of the 27th of January, Banking Fund shows the Mean Deviation of 0.7373, risk adjusted performance of 0.1295, and Downside Deviation of 1.01. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Banking Fund, as well as the relationship between them.
Banking 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 Banking, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BankingBanking |
Banking 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 Banking 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 Banking Fund.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Banking Fund on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Banking Fund Class or generate 0.0% return on investment in Banking Fund over 90 days. Banking Fund is related to or competes with T Rowe, T Rowe, Harbor Diversified, Brown Advisory, Royce Premier, and Madison Diversified. The fund invests substantially all of its net assets in equity securities of Banking Companies that are traded in the Un... More
Banking 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 Banking 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 Banking Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.01 | |||
| Information Ratio | 0.0928 | |||
| Maximum Drawdown | 4.23 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.08 |
Banking Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banking Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banking Fund's standard deviation. In reality, there are many statistical measures that can use Banking Fund historical prices to predict the future Banking Fund's volatility.| Risk Adjusted Performance | 0.1295 | |||
| Jensen Alpha | 0.1404 | |||
| Total Risk Alpha | 0.067 | |||
| Sortino Ratio | 0.0933 | |||
| Treynor Ratio | 0.4757 |
Banking Fund January 27, 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 | 0.1295 | |||
| Market Risk Adjusted Performance | 0.4857 | |||
| Mean Deviation | 0.7373 | |||
| Semi Deviation | 0.8006 | |||
| Downside Deviation | 1.01 | |||
| Coefficient Of Variation | 579.04 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.03 | |||
| Information Ratio | 0.0928 | |||
| Jensen Alpha | 0.1404 | |||
| Total Risk Alpha | 0.067 | |||
| Sortino Ratio | 0.0933 | |||
| Treynor Ratio | 0.4757 | |||
| Maximum Drawdown | 4.23 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.08 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.641 | |||
| Expected Short fall | (0.79) | |||
| Skewness | 0.0033 | |||
| Kurtosis | 1.1 |
Banking Fund Class Backtested Returns
At this stage we consider Banking Mutual Fund to be very steady. Banking Fund Class secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the fund had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Banking Fund Class, which you can use to evaluate the volatility of the entity. Please confirm Banking Fund's Downside Deviation of 1.01, risk adjusted performance of 0.1295, and Mean Deviation of 0.7373 to double-check if the risk estimate we provide is consistent with the expected return of 0.18%. The fund shows a Beta (market volatility) of 0.35, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Banking Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Banking Fund is expected to be smaller as well.
Auto-correlation | -0.09 |
Very weak reverse predictability
Banking Fund Class has very weak reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 Banking Fund Class price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Banking Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 1.46 |
Banking 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.
Banking 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 Banking Fund Class volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Banking 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 Banking 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 Banking Fund Class based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Banking Fund Class price pattern first instead of the macroeconomic environment surrounding Banking Fund Class. By analyzing Banking 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 Banking 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 Banking Fund specific price patterns or momentum indicators. Please read more on our technical analysis page.
Banking Fund January 27, 2026 Technical Indicators
Most technical analysis of Banking 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 Banking from various momentum indicators to cycle indicators. When you analyze Banking 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 | 0.1295 | |||
| Market Risk Adjusted Performance | 0.4857 | |||
| Mean Deviation | 0.7373 | |||
| Semi Deviation | 0.8006 | |||
| Downside Deviation | 1.01 | |||
| Coefficient Of Variation | 579.04 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.03 | |||
| Information Ratio | 0.0928 | |||
| Jensen Alpha | 0.1404 | |||
| Total Risk Alpha | 0.067 | |||
| Sortino Ratio | 0.0933 | |||
| Treynor Ratio | 0.4757 | |||
| Maximum Drawdown | 4.23 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.08 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.641 | |||
| Expected Short fall | (0.79) | |||
| Skewness | 0.0033 | |||
| Kurtosis | 1.1 |
Banking Fund January 27, 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 Banking 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 | 0.98 | ||
| Day Median Price | 107.42 | ||
| Day Typical Price | 107.42 | ||
| Price Action Indicator | (1.15) |
Other Information on Investing in Banking Mutual Fund
Banking Fund financial ratios help investors to determine whether Banking 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 Banking with respect to the benefits of owning Banking Fund security.
| Transaction History View history of all your transactions and understand their impact on performance | |
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