Fidelity Value ETF Technical Analysis
| FCUV Etf | CAD 23.58 -0.11 -0.46% |
As of the 12th of March 2026, Fidelity Value maintains a quoted price of 23.58 per share. Short-term indicators show Standard Deviation of 0.9718, mean deviation of 0.7097, and Variance of 0.9443. The model measures trend continuation and reversal probability using historical patterns. Comparative analytics measure deviation from sector averages.
Fidelity Value 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 Value 'What if' Analysis
Running a what-if backtest on Fidelity Value ETF 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 Value's historical reward profile was stable enough to support the current thesis.
| 12/12/2025 |
| 03/12/2026 |
Starting with 0.00 in Fidelity Value on December 12, 2025 and exiting today would produce 0.00 in net gains. This reflects a 0.0% net return in Fidelity Value in total across 90 days. Fidelity Value has comparable peers such as Fidelity High, Hamilton Canadian, Global X, IShares MSCI, Fidelity Value, IShares SAMPPTSX, and IShares Canadian. This provides context for relative positioning. FIDELITY is traded on Toronto Stock Exchange in Canada. More
Upside and Downside Indicators for Fidelity Value Snapshot
These indicators describe how Fidelity Value momentum evolves across recent price ranges. They provide a structured view of short-term momentum and range behavior.
| Information Ratio | -0.01 | |||
| Maximum Drawdown | 5.29 | |||
| Value At Risk | -1.54 | |||
| Potential Upside | 1.24 |
Market Risk Indicators for Fidelity Value Snapshot
Risk measures here provide context on Fidelity Value's return distribution and drawdown behavior. The signals are informational and describe volatility patterns.| Risk Adjusted Performance | -0.02 | |||
| Jensen Alpha | -0.02 | |||
| Total Risk Alpha | -0.01 | |||
| Treynor Ratio | -0.05 |
Investors who believe in mean reversion view Fidelity Value's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
Fidelity Value Technical Indicators
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.02 | |||
| Market Risk Adjusted Performance | -0.04 | |||
| Mean Deviation | 0.7097 | |||
| Coefficient Of Variation | -4,190 | |||
| Standard Deviation | 0.9718 | |||
| Variance | 0.9443 | |||
| Information Ratio | -0.01 | |||
| Jensen Alpha | -0.02 | |||
| Total Risk Alpha | -0.01 | |||
| Treynor Ratio | -0.05 | |||
| Maximum Drawdown | 5.29 | |||
| Value At Risk | -1.54 | |||
| Potential Upside | 1.24 | |||
| Skewness | -1.25 | |||
| Kurtosis | 3.6 |
Fidelity Value ETF Backtested Returns
Fidelity Value shows a very low volatility profile relative to the chosen timeframe. It exhibits a Sharpe Ratio of -0.0308, capturing return dispersion relative to standard deviation. Algorithmic screening detected twenty-three volatility-sensitive metrics. Please evaluate metrics such as standard deviation of 0.9718, mean deviation of 0.7097, and Variance of 0.9443 to review standard deviation behavior. The etf retains a Market Volatility (i.e., Beta) of 0.74, which alludes to possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Value's returns are expected to increase less than the market. However, during a bear market, the loss from holding Fidelity Value is expected to be smaller as well.
Auto-correlation | 0.17 |
Very weak predictability
Fidelity Value ETF exhibits very weak predictability. Autocorrelation measures the degree of predictability between Fidelity Value time series from 12th of December 2025 to 26th of January 2026 and from 26th of January 2026 to 12th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Fidelity Value ETF may be projected. A serial correlation of 0.17 indicates that over 17.0% of current Fidelity Value price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
This technical analysis view for Fidelity Value focuses on price, volume, and trend behavior. Common inputs include moving averages, RSI, regressions, and price-return correlations.
Fidelity Value ETF 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 Value ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity Value Technical Analysis
Technical analysis of Fidelity Value evaluates traded price structure, volume, and spread stability relative to NAV behavior. Trend alignment improves interpretability of cross-signal confirmation. 
Ellen Johnson · Member of Macroaxis Editorial Board
Unless otherwise specified, financial data for Fidelity Value ETF is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Updates may occur throughout the day.
Fidelity Etf is Curated By:
Ellen Johnson · Member of Macroaxis Editorial BoardFidelity Value Technical Indicators
A technical review of Fidelity Value ETF 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 | -0.02 | |||
| Market Risk Adjusted Performance | -0.04 | |||
| Mean Deviation | 0.7097 | |||
| Coefficient Of Variation | -4,190 | |||
| Standard Deviation | 0.9718 | |||
| Variance | 0.9443 | |||
| Information Ratio | -0.01 | |||
| Jensen Alpha | -0.02 | |||
| Total Risk Alpha | -0.01 | |||
| Treynor Ratio | -0.05 | |||
| Maximum Drawdown | 5.29 | |||
| Value At Risk | -1.54 | |||
| Potential Upside | 1.24 | |||
| Skewness | -1.25 | |||
| Kurtosis | 3.6 |
Fidelity Value March 12, 2026 Daily Trend Indicators
A technical review of Fidelity Value ETF 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 | 182.44 | ||
| Daily Balance Of Power | -0.79 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 23.64 | ||
| Day Typical Price | 23.62 | ||
| Price Action Indicator | -0.12 |
More Resources for Fidelity Etf Analysis
Other Information on Investing in Fidelity Etf
Financial ratios for Fidelity Value provide valuation context across profits, cash flow, and enterprise value. They help compare Fidelity across valuation measures in a consistent way.