Fidelity Quality Factor Etf Technical Analysis
| FQAL Etf | USD 73.88 -0.41 -0.55% |
As of the 15th of March 2026, Fidelity Quality trades at 73.88 per share. Key technical indicators include Variance of 0.5293, mean deviation of 0.5605, and Standard Deviation of 0.7275. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
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 book value, which reflects Fidelity accounting equity. With a P/B ratio of 3.63, the market values Fidelity Quality well above its book equity. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Valuation methods compare these perspectives to frame context.
Note that Fidelity Quality's intrinsic value and market price are different measures derived from different inputs. For Fidelity Quality, key inputs include a P/E ratio of 19.22, and a P/B ratio of 3.63. By contrast, market price reflects the level where buyers and sellers transact.
What if' Analysis
Running a what-if backtest on Fidelity Quality Factor gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Fidelity Quality's historical reward profile was stable enough to support the current thesis.
| 12/15/2025 |
| 03/15/2026 |
If you invested 0.00 in Fidelity Quality on December 15, 2025 and closed the position today, you would earn 0.00 in total gains. That corresponds to a 0.0% return on investment in Fidelity Quality overall 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. Peer context helps frame relative positioning. The fund normally invests at least 80 percent of assets in securities included in the Fidelity U.S More
Fidelity Quality Upside and Downside Indicators Overview
Upside and downside indicators for Fidelity Quality summarize momentum balance and potential range context for the ETF. They compare current price to recent trend and sentiment readings.
| Information Ratio | 0.0093 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | -1.24 | |||
| Potential Upside | 0.8716 |
Fidelity Quality Market Risk Indicators Overview
Market risk indicators summarize volatility and return dispersion for Fidelity Quality. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | -0.03 | |||
| Jensen Alpha | -0.01 | |||
| Total Risk Alpha | 0.003 | |||
| Treynor Ratio | -0.05 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Quality's price to converge to an average value over time is called mean reversion.
Technical Indicators
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | -0.03 | |||
| Market Risk Adjusted Performance | -0.04 | |||
| Mean Deviation | 0.5605 | |||
| Coefficient Of Variation | -2,594 | |||
| Standard Deviation | 0.7275 | |||
| Variance | 0.5293 | |||
| Information Ratio | 0.0093 | |||
| Jensen Alpha | -0.01 | |||
| Total Risk Alpha | 0.003 | |||
| Treynor Ratio | -0.05 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | -1.24 | |||
| Potential Upside | 0.8716 | |||
| Skewness | -0.13 | |||
| Kurtosis | 0.9844 |
Fidelity Quality Factor Backtested Returns
Fidelity Quality appears to exhibit a very low volatility profile over the selected 3 months investment horizon. It maintains a Sharpe Ratio (Efficiency) of -0.0407, representing negative adjusted performance consistency. We identified twenty-three technical indicators influencing the company's volatility profile. Please review metrics such as standard deviation of 0.7275, variance of 0.5293, and mean deviation of 0.5605 to confirm whether our risk estimates align with your expectations. The etf has a beta of 0.73, 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 a bear market, the loss from holding Fidelity Quality is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
Serial correlation analysis for Fidelity Quality Factor reveals weak reverse predictability across the intervals from 15th of December 2025 to 29th of January 2026 and from 29th of January 2026 to 15th of March 2026. The degree of alignment between past and current intervals shapes expectations about Fidelity Quality Factor's price persistence. At -0.23, over 23.0% of current Fidelity Quality price movement aligns with historical price trajectory. Given that Fidelity Quality Factor has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Fidelity Quality technical etf analysis uses price and volume transformations to study behavior. Typical tools include moving averages, relative strength index, regressions, and price correlations.
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 Fidelity Quality Factor volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Fidelity Quality evaluates traded price structure, volume, and spread stability relative to NAV behavior. Trend persistence provides context for directional stability. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations.
Unless otherwise specified, data for Fidelity Quality Factor is compiled from fund disclosures and market reference feeds and standardized for comparability. Updates may occur throughout the day.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardFidelity Quality Technical Indicators
A technical review of Fidelity Quality Factor can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.03 | |||
| Market Risk Adjusted Performance | -0.04 | |||
| Mean Deviation | 0.5605 | |||
| Coefficient Of Variation | -2,594 | |||
| Standard Deviation | 0.7275 | |||
| Variance | 0.5293 | |||
| Information Ratio | 0.0093 | |||
| Jensen Alpha | -0.01 | |||
| Total Risk Alpha | 0.003 | |||
| Treynor Ratio | -0.05 | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | -1.24 | |||
| Potential Upside | 0.8716 | |||
| Skewness | -0.13 | |||
| Kurtosis | 0.9844 |
Fidelity Quality Factor One Year Return
Based on the recorded statements, Fidelity Quality Factor has an One Year Return of 17.3%. This is 25.04% 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 ETF.
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.March 15, 2026 Daily Trend Indicators
A technical review of Fidelity Quality Factor can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | -0.41 | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 74.32 | ||
| Day Typical Price | 74.18 | ||
| Price Action Indicator | -0.65 | ||
| Market Facilitation Index | 0.99 |
More Resources for Fidelity Etf Analysis
A structured review of Fidelity Quality Factor often starts with core financial statements and trend context. Key ratios help frame profitability, efficiency, and growth context for Fidelity Quality Factor Etf. Outlined below are key reports that provide context for Fidelity Quality Factor Etf:Use Investing Opportunities to better understand diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This includes a position in Fidelity Quality Factor within the portfolio mix. 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. Analysis related to Fidelity Quality should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of Fidelity Quality Factor is measured differently than book value, which reflects Fidelity accounting equity. With a P/B ratio of 3.63, the market values Fidelity Quality well above its book equity. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Valuation methods compare these perspectives to frame context.
Note that Fidelity Quality's intrinsic value and market price are different measures derived from different inputs. For Fidelity Quality, key inputs include a P/E ratio of 19.22, and a P/B ratio of 3.63. By contrast, market price reflects the level where buyers and sellers transact.