Fidelity Quality (Switzerland) Technical Analysis
| FUSD Etf | USD 12.59 0.02 0.16% |
As of the 1st of February, Fidelity Quality shows the Coefficient Of Variation of 1028.14, downside deviation of 0.9229, and Mean Deviation of 0.5469. Our technical analysis interface provides you with a way to check existing technical drivers of Fidelity Quality Income, as well as the relationship between them. Please confirm Fidelity Quality Income mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Fidelity Quality Income is priced favorably, providing market reflects its regular price of 12.59 per share.
Fidelity Quality Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity |
Fidelity Quality '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 Fidelity Quality's etf 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 Fidelity Quality.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Fidelity Quality on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Quality Income or generate 0.0% return on investment in Fidelity Quality over 90 days. a total return, taking into account both capital and income returns, which reflects, before fees and expenses, the return of the Fidelity is traded on Switzerland Exchange in Switzerland. More
Fidelity Quality 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 Fidelity Quality's etf 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 Fidelity Quality Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9229 | |||
| Information Ratio | 0.0425 | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.16 |
Fidelity Quality Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Quality's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Quality's standard deviation. In reality, there are many statistical measures that can use Fidelity Quality historical prices to predict the future Fidelity Quality's volatility.| Risk Adjusted Performance | 0.0715 | |||
| Jensen Alpha | 0.0714 | |||
| Total Risk Alpha | 0.0302 | |||
| Sortino Ratio | 0.0378 | |||
| Treynor Ratio | (1.60) |
Fidelity Quality February 1, 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 | 0.0715 | |||
| Market Risk Adjusted Performance | (1.59) | |||
| Mean Deviation | 0.5469 | |||
| Semi Deviation | 0.8046 | |||
| Downside Deviation | 0.9229 | |||
| Coefficient Of Variation | 1028.14 | |||
| Standard Deviation | 0.8212 | |||
| Variance | 0.6743 | |||
| Information Ratio | 0.0425 | |||
| Jensen Alpha | 0.0714 | |||
| Total Risk Alpha | 0.0302 | |||
| Sortino Ratio | 0.0378 | |||
| Treynor Ratio | (1.60) | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.8518 | |||
| Semi Variance | 0.6474 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.35) | |||
| Kurtosis | 4.07 |
Fidelity Quality Income Backtested Returns
At this stage we consider Fidelity Etf to be very steady. Fidelity Quality Income secures Sharpe Ratio (or Efficiency) of 0.075, which denotes the etf had a 0.075 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Quality Income, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Quality's Downside Deviation of 0.9229, mean deviation of 0.5469, and Coefficient Of Variation of 1028.14 to check if the risk estimate we provide is consistent with the expected return of 0.0628%. The etf shows a Beta (market volatility) of -0.0437, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fidelity Quality are expected to decrease at a much lower rate. During the bear market, Fidelity Quality is likely to outperform the market.
Auto-correlation | 0.17 |
Very weak predictability
Fidelity Quality Income has very weak predictability. Overlapping area represents the amount of predictability between Fidelity Quality time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Fidelity Quality Income price movement. The serial correlation of 0.17 indicates that over 17.0% of current Fidelity Quality price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fidelity Quality technical etf 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, etf market cycles, or different charting patterns.
Fidelity Quality Income 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 Fidelity Quality Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity Quality 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 Fidelity Quality Income 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 Fidelity Quality Income based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity Quality Income price pattern first instead of the macroeconomic environment surrounding Fidelity Quality Income. By analyzing Fidelity Quality'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 Fidelity Quality'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 Fidelity Quality specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity Quality February 1, 2026 Technical Indicators
Most technical analysis of Fidelity 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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 | 0.0715 | |||
| Market Risk Adjusted Performance | (1.59) | |||
| Mean Deviation | 0.5469 | |||
| Semi Deviation | 0.8046 | |||
| Downside Deviation | 0.9229 | |||
| Coefficient Of Variation | 1028.14 | |||
| Standard Deviation | 0.8212 | |||
| Variance | 0.6743 | |||
| Information Ratio | 0.0425 | |||
| Jensen Alpha | 0.0714 | |||
| Total Risk Alpha | 0.0302 | |||
| Sortino Ratio | 0.0378 | |||
| Treynor Ratio | (1.60) | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.8518 | |||
| Semi Variance | 0.6474 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.35) | |||
| Kurtosis | 4.07 |
Fidelity Quality February 1, 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 Fidelity 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 | 12.59 | ||
| Day Typical Price | 12.59 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Fidelity Etf
Fidelity Quality financial ratios help investors to determine whether Fidelity Etf 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 Fidelity with respect to the benefits of owning Fidelity Quality security.