Airboss Of America Stock Technical Analysis
ABSSF Stock | USD 2.72 0.09 3.20% |
As of the 2nd of December, AirBoss Of shows the Standard Deviation of 3.07, risk adjusted performance of (0.02), and Mean Deviation of 1.98. AirBoss of America technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We are able to interpolate and collect thirteen technical drivers for AirBoss of America, which can be compared to its peers. Please confirm AirBoss of America information ratio and potential upside to decide if AirBoss of America is priced correctly, providing market reflects its regular price of 2.72 per share. Please also double-check AirBoss of America jensen alpha, which is currently at (0.18) to validate the company can sustain itself at a future point.
AirBoss Of Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AirBoss, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AirBossAirBoss |
AirBoss Of technical otc 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, otc market cycles, or different charting patterns.
AirBoss of America Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 AirBoss of America volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AirBoss of America Trend Analysis
Use this graph to draw trend lines for AirBoss of America. You can use it to identify possible trend reversals for AirBoss Of 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 AirBoss Of price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AirBoss Of Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AirBoss of America applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that AirBoss of America market price will keep on failing further. It has 122 observation points and a regression sum of squares at 16.4, which is the sum of squared deviations for the predicted AirBoss Of price change compared to its average price change.About AirBoss Of 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 AirBoss of America 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 AirBoss of America based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on AirBoss of America price pattern first instead of the macroeconomic environment surrounding AirBoss of America. By analyzing AirBoss Of'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 AirBoss Of'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 AirBoss Of specific price patterns or momentum indicators. Please read more on our technical analysis page.
AirBoss Of December 2, 2024 Technical Indicators
Most technical analysis of AirBoss 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 AirBoss from various momentum indicators to cycle indicators. When you analyze AirBoss 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 | (0.02) | |||
Market Risk Adjusted Performance | (0.28) | |||
Mean Deviation | 1.98 | |||
Coefficient Of Variation | (2,612) | |||
Standard Deviation | 3.07 | |||
Variance | 9.4 | |||
Information Ratio | (0.08) | |||
Jensen Alpha | (0.18) | |||
Total Risk Alpha | (0.64) | |||
Treynor Ratio | (0.29) | |||
Maximum Drawdown | 16.91 | |||
Value At Risk | (5.76) | |||
Potential Upside | 5.71 | |||
Skewness | 0.3775 | |||
Kurtosis | 1.72 |
Complementary Tools for AirBoss OTC Stock analysis
When running AirBoss Of's price analysis, check to measure AirBoss Of'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 AirBoss Of is operating at the current time. Most of AirBoss Of's value examination focuses on studying past and present price action to predict the probability of AirBoss Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AirBoss Of's price. Additionally, you may evaluate how the addition of AirBoss Of to your portfolios can decrease your overall portfolio volatility.
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