Schwab Monthly Income Fund Technical Analysis
| SWJRX Fund | USD 10.26 0.01 0.1% |
As of the 30th of November, Schwab Monthly has the Semi Deviation of 0.3194, coefficient of variation of 6791.54, and Risk Adjusted Performance of (0.000071). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schwab Monthly Income, as well as the relationship between them.
Schwab Monthly Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schwab, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SchwabSchwab |
Schwab Monthly technical mutual fund 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, fund market cycles, or different charting patterns.
Schwab Monthly Income Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Schwab Monthly Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Schwab Monthly Income Trend Analysis
Use this graph to draw trend lines for Schwab Monthly Income. You can use it to identify possible trend reversals for Schwab Monthly as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Schwab Monthly price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Schwab Monthly Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Schwab Monthly Income applied against its price change over selected period. The best fit line has a slop of 0.0038 , which may suggest that Schwab Monthly Income market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.55, which is the sum of squared deviations for the predicted Schwab Monthly price change compared to its average price change.About Schwab Monthly 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 Schwab Monthly Income 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 Schwab Monthly Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Schwab Monthly Income price pattern first instead of the macroeconomic environment surrounding Schwab Monthly Income. By analyzing Schwab Monthly'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 Schwab Monthly'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 Schwab Monthly specific price patterns or momentum indicators. Please read more on our technical analysis page.
Schwab Monthly November 30, 2024 Technical Indicators
Most technical analysis of Schwab 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 Schwab from various momentum indicators to cycle indicators. When you analyze Schwab 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 | (0.000071) | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 0.2805 | |||
| Semi Deviation | 0.3194 | |||
| Downside Deviation | 0.3665 | |||
| Coefficient Of Variation | 6791.54 | |||
| Standard Deviation | 0.3584 | |||
| Variance | 0.1285 | |||
| Information Ratio | (0.37) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 1.47 | |||
| Value At Risk | (0.49) | |||
| Potential Upside | 0.5803 | |||
| Downside Variance | 0.1343 | |||
| Semi Variance | 0.102 | |||
| Expected Short fall | (0.33) | |||
| Skewness | 0.1109 | |||
| Kurtosis | 0.696 |
Other Information on Investing in Schwab Mutual Fund
Schwab Monthly financial ratios help investors to determine whether Schwab Mutual 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 Schwab with respect to the benefits of owning Schwab Monthly security.
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