Schwab 1000 Index Fund Technical Analysis
| SNXFX Fund | USD 130.27 0.48 0.37% |
As of the 27th of November, Schwab 1000 has the Semi Deviation of 0.6671, risk adjusted performance of 0.1256, and Coefficient Of Variation of 610.14. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schwab 1000 Index, as well as the relationship between them.
Schwab 1000 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 1000 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 1000 Index Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 1000 Index volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Schwab 1000 Index Trend Analysis
Use this graph to draw trend lines for Schwab 1000 Index. You can use it to identify possible trend reversals for Schwab 1000 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 1000 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Schwab 1000 Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Schwab 1000 Index applied against its price change over selected period. The best fit line has a slop of 0.18 , which means Schwab 1000 Index will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1221.52, which is the sum of squared deviations for the predicted Schwab 1000 price change compared to its average price change.About Schwab 1000 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 1000 Index 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 1000 Index based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Schwab 1000 Index price pattern first instead of the macroeconomic environment surrounding Schwab 1000 Index. By analyzing Schwab 1000'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 1000'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 1000 specific price patterns or momentum indicators. Please read more on our technical analysis page.
Schwab 1000 November 27, 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 | 0.1256 | |||
| Market Risk Adjusted Performance | 0.1508 | |||
| Mean Deviation | 0.5666 | |||
| Semi Deviation | 0.6671 | |||
| Downside Deviation | 0.8363 | |||
| Coefficient Of Variation | 610.14 | |||
| Standard Deviation | 0.7903 | |||
| Variance | 0.6246 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0173 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.1408 | |||
| Maximum Drawdown | 3.99 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.14 | |||
| Downside Variance | 0.6994 | |||
| Semi Variance | 0.4451 | |||
| Expected Short fall | (0.62) | |||
| Skewness | (0.21) | |||
| Kurtosis | 2.2 |
Other Information on Investing in Schwab Mutual Fund
Schwab 1000 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 1000 security.
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