Amg Managers Montag Fund Technical Analysis
| MCGIX Fund | USD 13.93 0.03 0.21% |
As of the 24th of November, Amg Managers shows the risk adjusted performance of 0.0207, and Mean Deviation of 0.6573. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Amg Managers, as well as the relationship between them.
Amg Managers Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Amg, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AmgAmg |
Amg Managers 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.
Amg Managers Montag Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Amg Managers Montag volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Amg Managers Montag Trend Analysis
Use this graph to draw trend lines for Amg Managers Montag. You can use it to identify possible trend reversals for Amg Managers 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 Amg Managers price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Amg Managers Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Amg Managers Montag applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Amg Managers Montag will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.24, which is the sum of squared deviations for the predicted Amg Managers price change compared to its average price change.About Amg Managers 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 Amg Managers Montag 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 Amg Managers Montag based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Amg Managers Montag price pattern first instead of the macroeconomic environment surrounding Amg Managers Montag. By analyzing Amg Managers'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 Amg Managers'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 Amg Managers specific price patterns or momentum indicators. Please read more on our technical analysis page.
Amg Managers November 24, 2024 Technical Indicators
Most technical analysis of Amg 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 Amg from various momentum indicators to cycle indicators. When you analyze Amg 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 | 0.0207 | |||
| Market Risk Adjusted Performance | (0.30) | |||
| Mean Deviation | 0.6573 | |||
| Semi Deviation | 0.9743 | |||
| Downside Deviation | 1.09 | |||
| Coefficient Of Variation | 4041.13 | |||
| Standard Deviation | 0.9217 | |||
| Variance | 0.8496 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | 0.0178 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | (0.31) | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.5 | |||
| Downside Variance | 1.19 | |||
| Semi Variance | 0.9492 | |||
| Expected Short fall | (0.70) | |||
| Skewness | (0.78) | |||
| Kurtosis | 1.46 |
Other Information on Investing in Amg Mutual Fund
Amg Managers financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Managers security.
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