Ag Mortgage Investment Preferred Stock Technical Analysis
| MITT-PC Preferred Stock | USD 24.95 0.49 1.93% |
As of the 1st of December, AG Mortgage owns the Market Risk Adjusted Performance of (0.26), coefficient of variation of 1104.87, and Standard Deviation of 0.3597. In connection with fundamental indicators, the technical analysis model gives you tools to check timely technical drivers of AG Mortgage Investment, as well as the relationship between them.
AG Mortgage Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MITT-PC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MITT-PCMITT-PC |
AG Mortgage technical preferred stock 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, preferred stock market cycles, or different charting patterns.
AG Mortgage Investment 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 AG Mortgage Investment volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AG Mortgage Investment Trend Analysis
Use this graph to draw trend lines for AG Mortgage Investment. You can use it to identify possible trend reversals for AG Mortgage 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 AG Mortgage price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AG Mortgage Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AG Mortgage Investment applied against its price change over selected period. The best fit line has a slop of 0.01 , which means AG Mortgage Investment will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.22, which is the sum of squared deviations for the predicted AG Mortgage price change compared to its average price change.About AG Mortgage 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 AG Mortgage Investment 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 AG Mortgage Investment based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AG Mortgage Investment price pattern first instead of the macroeconomic environment surrounding AG Mortgage Investment. By analyzing AG Mortgage'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 AG Mortgage'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 AG Mortgage specific price patterns or momentum indicators. Please read more on our technical analysis page.
AG Mortgage December 1, 2024 Technical Indicators
Most technical analysis of MITT-PC 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 MITT-PC from various momentum indicators to cycle indicators. When you analyze MITT-PC 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 | 0.0579 | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 0.2252 | |||
| Semi Deviation | 0.3717 | |||
| Downside Deviation | 0.4655 | |||
| Coefficient Of Variation | 1104.87 | |||
| Standard Deviation | 0.3597 | |||
| Variance | 0.1294 | |||
| Information Ratio | (0.29) | |||
| Jensen Alpha | 0.0331 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 1.2 | |||
| Value At Risk | (0.37) | |||
| Potential Upside | 0.6088 | |||
| Downside Variance | 0.2167 | |||
| Semi Variance | 0.1381 | |||
| Expected Short fall | (0.24) | |||
| Skewness | (2.20) | |||
| Kurtosis | 12.98 |
Complementary Tools for MITT-PC Preferred Stock analysis
When running AG Mortgage's price analysis, check to measure AG Mortgage's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AG Mortgage is operating at the current time. Most of AG Mortgage's value examination focuses on studying past and present price action to predict the probability of AG Mortgage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AG Mortgage's price. Additionally, you may evaluate how the addition of AG Mortgage to your portfolios can decrease your overall portfolio volatility.
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