SISF BRIC (Germany) Analysis
| SRVQ Fund | EUR 212.90 0.22 0.10% |
SISF BRIC AC is fairly valued with Real Value of 214.9 and Hype Value of 212.9. The main objective of SISF BRIC fund analysis is to determine its intrinsic value, which is an estimate of what SISF BRIC AC is worth, separate from its market price. There are two main types of SISF Fund analysis: fundamental analysis and technical analysis.
The SISF BRIC 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 SISF BRIC's ongoing operational relationships across important fundamental and technical indicators.
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SISF Fund Analysis Notes
It is possible that SISF BRIC AC fund was delisted, renamed or otherwise removed from the exchange.SISF BRIC Thematic Classifications
In addition to having SISF BRIC 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.
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Technical Drivers
As of the 22nd of December, SISF BRIC has the coefficient of variation of 1117.56, and Risk Adjusted Performance of 0.0746. Our technical analysis interface makes it possible for you to check practical technical drivers of SISF BRIC AC, as well as the relationship between them. Please validate SISF BRIC AC treynor ratio and the relationship between the maximum drawdown and potential upsidetreynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside to decide if SISF BRIC is priced adequately, providing market reflects its prevalent price of 212.9 per share.SISF BRIC AC Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SISF BRIC 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 SISF BRIC AC. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
SISF BRIC Predictive Daily Indicators
SISF BRIC 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 SISF BRIC 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 | 1.0 | |||
| Day Median Price | 212.9 | |||
| Day Typical Price | 212.9 | |||
| Price Action Indicator | 0.11 | |||
| Period Momentum Indicator | 0.22 | |||
| Relative Strength Index | 47.47 |
SISF BRIC Forecast Models
SISF BRIC's time-series forecasting models are one of many SISF BRIC'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 SISF BRIC'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 SISF BRIC to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in SISF Fund
SISF BRIC financial ratios help investors to determine whether SISF 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 SISF with respect to the benefits of owning SISF BRIC security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
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| Volatility Analysis Get historical volatility and risk analysis based on latest market data |