Miller Income Fund Technical Analysis
| LMCKX Fund | USD 8.81 0.17 1.89% |
As of the 28th of December, Miller Income secures the Mean Deviation of 0.8437, downside deviation of 0.9839, and Risk Adjusted Performance of 0.0933. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Miller Income, as well as the relationship between them.
Miller Income 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 Income 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 Income Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Miller Income Trend Analysis
Use this graph to draw trend lines for Miller Income Fund. You can use it to identify possible trend reversals for Miller Income 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 Income price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Miller Income Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Miller Income Fund applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Miller Income Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 10.62, which is the sum of squared deviations for the predicted Miller Income price change compared to its average price change.About Miller Income 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 Income Fund 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 Income Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Miller Income price pattern first instead of the macroeconomic environment surrounding Miller Income. By analyzing Miller Income'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 Income'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 Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Miller Income December 28, 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 | 0.0933 | |||
| Market Risk Adjusted Performance | 0.717 | |||
| Mean Deviation | 0.8437 | |||
| Semi Deviation | 0.8493 | |||
| Downside Deviation | 0.9839 | |||
| Coefficient Of Variation | 887.9 | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.51 | |||
| Information Ratio | 0.0865 | |||
| Jensen Alpha | 0.1245 | |||
| Total Risk Alpha | 0.0943 | |||
| Sortino Ratio | 0.1081 | |||
| Treynor Ratio | 0.707 | |||
| Maximum Drawdown | 9.2 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 2.07 | |||
| Downside Variance | 0.968 | |||
| Semi Variance | 0.7214 | |||
| Expected Short fall | (1.10) | |||
| Skewness | 0.9199 | |||
| Kurtosis | 5.31 |
Other Information on Investing in Miller Mutual Fund
Miller Income 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 Income security.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |