SUMILF 3375 15 APR 81 Analysis
| 86564CAC4 | 89.23 0.00 0.00% |
The SUMILF bond analysis report makes it easy to digest publicly released information about SUMILF and get updates on its essential artifacts, development, and announcements. SUMILF Bond analysis module also helps to break down the SUMILF price relationship across important fundamental and technical indicators.
SUMILF |
Technical Drivers
As of the 25th of November, SUMILF has the coefficient of variation of 736.98, and Risk Adjusted Performance of 0.1077. Our technical analysis interface makes it possible for you to check available technical drivers of SUMILF 3375 15, as well as the relationship between them.SUMILF 3375 15 Price Movement Analysis
The output start index for this execution was eleven with a total number of output elements of fifty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SUMILF 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 SUMILF 3375 15. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
SUMILF Predictive Daily Indicators
SUMILF 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 SUMILF bond 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.
SUMILF Forecast Models
SUMILF's time-series forecasting models are one of many SUMILF's bond 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 SUMILF'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 bond analysis tools, you can find out how much better you can do when adding SUMILF to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Investing Opportunities Now
Investing OpportunitiesBuild portfolios using our predefined set of ideas and optimize them against your investing preferences |
| All Next | Launch Module |
Other Information on Investing in SUMILF Bond
SUMILF financial ratios help investors to determine whether SUMILF Bond 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 SUMILF with respect to the benefits of owning SUMILF security.