Fidelity America (Germany) Analysis
FJ21 Fund | EUR 16.56 0.11 0.67% |
Fidelity America AD is fairly valued with Real Value of 16.7 and Hype Value of 16.56. The main objective of Fidelity America fund analysis is to determine its intrinsic value, which is an estimate of what Fidelity America AD is worth, separate from its market price. There are two main types of Fidelity Fund analysis: fundamental analysis and technical analysis.
The Fidelity America fund is traded in Germany on Berlin Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Fidelity America's ongoing operational relationships across important fundamental and technical indicators.
Fidelity |
Fidelity Fund Analysis Notes
It is possible that Fidelity America AD fund was delisted, renamed or otherwise removed from the exchange.Fidelity America Thematic Classifications
In addition to having Fidelity America fund in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
Commodities FundsFunds investing in commodities | ||
Hybrid Mix FundsFunds investing in combination of stocks, bonds and money market instruments |
Technical Drivers
As of the 3rd of December, Fidelity America shows the Downside Deviation of 0.8492, mean deviation of 0.7707, and Coefficient Of Variation of 599.58. Our technical analysis interface provides you with a way to check existing technical drivers of Fidelity America, as well as the relationship between them. Please confirm Fidelity America mean deviation and the relationship between the semi deviation and coefficient of variationmean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Fidelity America is priced favorably, providing market reflects its regular price of 16.56 per share.Fidelity America Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Fidelity America middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Fidelity America. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Fidelity America Predictive Daily Indicators
Fidelity America intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Fidelity America fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Daily Balance Of Power | 9.2 T | |||
Rate Of Daily Change | 1.01 | |||
Day Median Price | 16.56 | |||
Day Typical Price | 16.56 | |||
Price Action Indicator | 0.055 | |||
Period Momentum Indicator | 0.11 | |||
Relative Strength Index | 66.0 |
Fidelity America Forecast Models
Fidelity America's time-series forecasting models are one of many Fidelity America's fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Fidelity America's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our fund analysis tools, you can find out how much better you can do when adding Fidelity America to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Portfolio File Import Now
Portfolio File ImportQuickly import all of your third-party portfolios from your local drive in csv format |
All Next | Launch Module |
Other Information on Investing in Fidelity Fund
Fidelity America financial ratios help investors to determine whether Fidelity Fund 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 America security.
Stocks Directory Find actively traded stocks across global markets | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges |