Fidelity Quality Factor Etf Technical Analysis
| FQAL Etf | USD 76.86 0.59 0.77% |
As of the 26th of January, Fidelity Quality shows the Downside Deviation of 0.7414, mean deviation of 0.5172, and Coefficient Of Variation of 1750.19. Fidelity Quality Factor technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm Fidelity Quality Factor jensen alpha, and the relationship between the coefficient of variation and potential upside to decide if Fidelity Quality Factor is priced favorably, providing market reflects its regular price of 76.86 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 | Build AI portfolio with Fidelity Etf |
The market value of Fidelity Quality Factor is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Quality's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Quality's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Quality's market value can be influenced by many factors that don't directly affect Fidelity Quality's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Quality's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Quality is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Quality's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Fidelity Quality on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Quality Factor or generate 0.0% return on investment in Fidelity Quality over 90 days. Fidelity Quality is related to or competes with Fidelity Value, Fidelity Low, First Trust, FT Cboe, Virtus Reaves, FT Cboe, and Goldman Sachs. The fund normally invests at least 80 percent of assets in securities included in the Fidelity U.S 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 Factor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7414 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.09 |
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 | 0.0412 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0385 |
Fidelity Quality January 26, 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 | 0.0412 | |||
| Market Risk Adjusted Performance | 0.0485 | |||
| Mean Deviation | 0.5172 | |||
| Semi Deviation | 0.6882 | |||
| Downside Deviation | 0.7414 | |||
| Coefficient Of Variation | 1750.19 | |||
| Standard Deviation | 0.6886 | |||
| Variance | 0.4742 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0385 | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.09 | |||
| Downside Variance | 0.5497 | |||
| Semi Variance | 0.4736 | |||
| Expected Short fall | (0.54) | |||
| Skewness | (0.45) | |||
| Kurtosis | 0.5196 |
Fidelity Quality Factor Backtested Returns
As of now, Fidelity Etf is very steady. Fidelity Quality Factor secures Sharpe Ratio (or Efficiency) of 0.0178, which denotes the etf had a 0.0178 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Quality Factor, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Quality's Mean Deviation of 0.5172, downside deviation of 0.7414, and Coefficient Of Variation of 1750.19 to check if the risk estimate we provide is consistent with the expected return of 0.0121%. The etf shows a Beta (market volatility) of 0.76, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Quality's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Quality is expected to be smaller as well.
Auto-correlation | -0.17 |
Insignificant reverse predictability
Fidelity Quality Factor has insignificant reverse predictability. Overlapping area represents the amount of predictability between Fidelity Quality time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Fidelity Quality Factor 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 | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
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 Factor 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 Factor 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 Factor 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 Factor based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity Quality Factor price pattern first instead of the macroeconomic environment surrounding Fidelity Quality Factor. 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 January 26, 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 | 0.0412 | |||
| Market Risk Adjusted Performance | 0.0485 | |||
| Mean Deviation | 0.5172 | |||
| Semi Deviation | 0.6882 | |||
| Downside Deviation | 0.7414 | |||
| Coefficient Of Variation | 1750.19 | |||
| Standard Deviation | 0.6886 | |||
| Variance | 0.4742 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0385 | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.09 | |||
| Downside Variance | 0.5497 | |||
| Semi Variance | 0.4736 | |||
| Expected Short fall | (0.54) | |||
| Skewness | (0.45) | |||
| Kurtosis | 0.5196 |
Fidelity Quality Factor One Year Return
Based on the recorded statements, Fidelity Quality Factor has an One Year Return of 13.6%. This is 41.07% lower than that of the Fidelity Investments family and significantly higher than that of the Large Blend category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Fidelity Quality January 26, 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 | 508.84 | ||
| Daily Balance Of Power | 0.91 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 76.60 | ||
| Day Typical Price | 76.68 | ||
| Price Action Indicator | 0.56 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity Quality Factor. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
The market value of Fidelity Quality Factor is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Quality's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Quality's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Quality's market value can be influenced by many factors that don't directly affect Fidelity Quality's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Quality's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Quality is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Quality's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.