Fidelity High Dividend Etf Technical Analysis
| FCUD Etf | CAD 41.65 0.17 0.41% |
As of the 12th of February 2026, Fidelity High shows the Mean Deviation of 0.6224, coefficient of variation of 5827.39, and Downside Deviation of 1.17. Fidelity High Dividend 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.
Fidelity High 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 High '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 High'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 High.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Fidelity High on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity High Dividend or generate 0.0% return on investment in Fidelity High over 90 days. Fidelity High is related to or competes with Fidelity Value, Fidelity Canadian, Fidelity International, IShares MSCI, Desjardins, TD Canadian, and IShares Core. High Dividend Index ETF seeks to replicate, to the extent reasonably possible and before fees and expenses, the performa... More
Fidelity High 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 High'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 High Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.09 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.25 |
Fidelity High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity High's standard deviation. In reality, there are many statistical measures that can use Fidelity High historical prices to predict the future Fidelity High's volatility.| Risk Adjusted Performance | 0.0155 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.018 |
Fidelity High February 12, 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 | 0.0155 | |||
| Market Risk Adjusted Performance | 0.028 | |||
| Mean Deviation | 0.6224 | |||
| Semi Deviation | 1.13 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 5827.39 | |||
| Standard Deviation | 0.9802 | |||
| Variance | 0.9608 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.018 | |||
| Maximum Drawdown | 7.09 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.25 | |||
| Downside Variance | 1.37 | |||
| Semi Variance | 1.27 | |||
| Expected Short fall | (0.66) | |||
| Skewness | (2.74) | |||
| Kurtosis | 15.16 |
Fidelity High Dividend Backtested Returns
Fidelity High Dividend secures Sharpe Ratio (or Efficiency) of -0.0138, which denotes the etf had a -0.0138 % return per unit of risk over the last 3 months. Fidelity High Dividend exposes twenty-six different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity High's Downside Deviation of 1.17, coefficient of variation of 5827.39, and Mean Deviation of 0.6224 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.38, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity High is expected to be smaller as well.
Auto-correlation | -0.33 |
Poor reverse predictability
Fidelity High Dividend has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity High time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 High Dividend price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Fidelity High price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
Fidelity High 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 High Dividend Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Fidelity High Dividend across different markets.
About Fidelity High 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 High Dividend 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 High Dividend based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity High Dividend price pattern first instead of the macroeconomic environment surrounding Fidelity High Dividend. By analyzing Fidelity High'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 High'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 High specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity High February 12, 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 | 0.0155 | |||
| Market Risk Adjusted Performance | 0.028 | |||
| Mean Deviation | 0.6224 | |||
| Semi Deviation | 1.13 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 5827.39 | |||
| Standard Deviation | 0.9802 | |||
| Variance | 0.9608 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.018 | |||
| Maximum Drawdown | 7.09 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.25 | |||
| Downside Variance | 1.37 | |||
| Semi Variance | 1.27 | |||
| Expected Short fall | (0.66) | |||
| Skewness | (2.74) | |||
| Kurtosis | 15.16 |
Fidelity High February 12, 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 | 41.65 | ||
| Day Typical Price | 41.65 | ||
| Price Action Indicator | (0.09) |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity High Dividend. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.