SBI Mutual (India) Analysis
| SBIETFPB | 262.27 0.68 0.26% |
SBI Mutual Fund is fairly valued with . The main objective of SBI Mutual etf analysis is to determine its intrinsic value, which is an estimate of what SBI Mutual Fund is worth, separate from its market price. There are two main types of SBI Etf analysis: fundamental analysis and technical analysis.
The SBI Mutual etf is traded in India on National Stock Exchange of India, with the market opening at 09:15:00 and closing at 15:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in India.
SBI |
SBI Mutual Fund Investment Alerts
| SBI Mutual Fund generated a negative expected return over the last 90 days |
SBI Mutual Fund Price Movement Analysis
The output start index for this execution was fifty-nine with a total number of output elements of two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SBI Mutual 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 SBI Mutual Fund. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
SBI Mutual Predictive Daily Indicators
SBI Mutual 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 SBI Mutual etf 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.
| Accumulation Distribution | 27.13 | |||
| Daily Balance Of Power | (0.45) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 262.42 | |||
| Day Typical Price | 262.37 | |||
| Market Facilitation Index | 3.0E-4 | |||
| Price Action Indicator | (0.49) | |||
| Period Momentum Indicator | (0.68) |
SBI Mutual Forecast Models
SBI Mutual's time-series forecasting models are one of many SBI Mutual's etf 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 SBI Mutual'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 etf analysis tools, you can find out how much better you can do when adding SBI Mutual to your portfolios without increasing risk or reducing expected return.Did you try this?
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