Schwab Charles P Bond Technical Analysis
| 808513AX3 | 98.22 0.04 0.04% |
As of the 19th of April, SCHWAB has the Risk Adjusted Performance of (0.04), market risk adjusted performance of 0.4278, and Standard Deviation of 0.1996. Concerning fundamental indicators, the technical analysis model makes it possible for you to check helpful technical drivers of SCHWAB CHARLES P, as well as the relationship between them. In other words, you can use this information to find out if the entity will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to analyze thirteen technical drivers for SCHWAB CHARLES P, which can be compared to its competition. Please validate SCHWAB CHARLES P information ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk to decide if SCHWAB is priced correctly, providing market reflects its prevalent price of 98.22 per share.
SCHWAB 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 technical bond 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, bond market cycles, or different charting patterns.
SCHWAB CHARLES P Trend Analysis
Use this graph to draw trend lines for SCHWAB CHARLES P. You can use it to identify possible trend reversals for SCHWAB 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 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SCHWAB Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SCHWAB CHARLES P applied against its price change over selected period. The best fit line has a slop of 0.0005 , which may suggest that SCHWAB CHARLES P market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted SCHWAB price change compared to its average price change.About SCHWAB 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 CHARLES P 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 CHARLES P based on its technical analysis. In general, a bottom-up approach, as applied to this corporate bond, focuses on SCHWAB CHARLES P price pattern first instead of the macroeconomic environment surrounding SCHWAB CHARLES P. By analyzing SCHWAB'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'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 specific price patterns or momentum indicators. Please read more on our technical analysis page.
SCHWAB April 19, 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.4278 | |||
| Mean Deviation | 0.1421 | |||
| Coefficient Of Variation | (3,630) | |||
| Standard Deviation | 0.1996 | |||
| Variance | 0.0399 | |||
| Information Ratio | (0.37) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 0.4178 | |||
| Maximum Drawdown | 1.12 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3871 | |||
| Skewness | (0.56) | |||
| Kurtosis | 1.83 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SCHWAB CHARLES P. Also, note that the market value of any corporate bond could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the SCHWAB CHARLES P information on this page should be used as a complementary analysis to other SCHWAB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.