Miller Vertible Bond Fund Technical Analysis
| MCIFX Fund | USD 13.10 0.02 0.15% |
As of the 30th of November, Miller Vertible secures the Mean Deviation of 0.2451, downside deviation of 0.3711, and Risk Adjusted Performance of 0.0602. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Miller Vertible Bond, as well as the relationship between them.
Miller Vertible Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Miller, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MillerMiller |
Miller Vertible 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.
Miller Vertible Bond 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 Miller Vertible Bond volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Miller Vertible Bond Trend Analysis
Use this graph to draw trend lines for Miller Vertible Bond. You can use it to identify possible trend reversals for Miller Vertible 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 Miller Vertible price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Miller Vertible Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Miller Vertible Bond applied against its price change over selected period. The best fit line has a slop of 0 , which means Miller Vertible Bond will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.49, which is the sum of squared deviations for the predicted Miller Vertible price change compared to its average price change.About Miller Vertible 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 Miller Vertible Bond 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 Miller Vertible Bond based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Miller Vertible Bond price pattern first instead of the macroeconomic environment surrounding Miller Vertible Bond. By analyzing Miller Vertible'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 Miller Vertible'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 Miller Vertible specific price patterns or momentum indicators. Please read more on our technical analysis page.
Miller Vertible November 30, 2024 Technical Indicators
Most technical analysis of Miller 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 Miller from various momentum indicators to cycle indicators. When you analyze Miller 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 | 0.0602 | |||
| Market Risk Adjusted Performance | 0.0699 | |||
| Mean Deviation | 0.2451 | |||
| Semi Deviation | 0.2452 | |||
| Downside Deviation | 0.3711 | |||
| Coefficient Of Variation | 1047.61 | |||
| Standard Deviation | 0.3365 | |||
| Variance | 0.1132 | |||
| Information Ratio | (0.31) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.28) | |||
| Treynor Ratio | 0.0599 | |||
| Maximum Drawdown | 1.62 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.6221 | |||
| Downside Variance | 0.1377 | |||
| Semi Variance | 0.0601 | |||
| Expected Short fall | (0.29) | |||
| Skewness | 0.0171 | |||
| Kurtosis | 1.02 |
Other Information on Investing in Miller Mutual Fund
Miller Vertible financial ratios help investors to determine whether Miller 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 Miller with respect to the benefits of owning Miller Vertible security.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |