Us103304bv23 Bond Technical Analysis
| 103304BV2 | 86.38 2.96 3.31% |
As of the 19th of April, 103304BV2 owns the Risk Adjusted Performance of (0.06), coefficient of variation of (1,017), and Variance of 0.7498. In connection with fundamental indicators, the technical analysis model gives you tools to check timely technical drivers of US103304BV23, as well as the relationship between them. Strictly speaking, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We were able to analyze thirteen technical drivers for 103304BV2, which can be compared to its peers in the sector. Please confirm US103304BV23 mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if US103304BV23 is priced fairly, providing market reflects its prevailing price of 86.38 per share.
103304BV2 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 103304BV2, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 103304BV2103304BV2 |
103304BV2 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.
US103304BV23 Trend Analysis
Use this graph to draw trend lines for US103304BV23. You can use it to identify possible trend reversals for 103304BV2 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 103304BV2 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.103304BV2 Best Fit Change Line
The following chart estimates an ordinary least squares regression model for US103304BV23 applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that US103304BV23 market price will keep on failing further. It has 122 observation points and a regression sum of squares at 70.92, which is the sum of squared deviations for the predicted 103304BV2 price change compared to its average price change.About 103304BV2 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 US103304BV23 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 US103304BV23 based on its technical analysis. In general, a bottom-up approach, as applied to this corporate bond, focuses on US103304BV23 price pattern first instead of the macroeconomic environment surrounding US103304BV23. By analyzing 103304BV2'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 103304BV2'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 103304BV2 specific price patterns or momentum indicators. Please read more on our technical analysis page.
103304BV2 April 19, 2024 Technical Indicators
Most technical analysis of 103304BV2 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 103304BV2 from various momentum indicators to cycle indicators. When you analyze 103304BV2 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 | (0.06) | |||
| Market Risk Adjusted Performance | (2.00) | |||
| Mean Deviation | 0.4277 | |||
| Coefficient Of Variation | (1,017) | |||
| Standard Deviation | 0.8659 | |||
| Variance | 0.7498 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (2.01) | |||
| Maximum Drawdown | 2.42 | |||
| Value At Risk | (0.91) | |||
| Potential Upside | 0.738 | |||
| Skewness | (2.39) | |||
| Kurtosis | 21.73 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in US103304BV23. 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 US103304BV23 information on this page should be used as a complementary analysis to other 103304BV2'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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.