Above Food Ingredients Stock Technical Analysis
ABVEW Stock | 0.04 0.02 89.05% |
As of the 2nd of December, Above Food shows the Downside Deviation of 16.95, risk adjusted performance of 0.1215, and Mean Deviation of 19.06. Above Food Ingredients 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. Please confirm Above Food Ingredients coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and semi variance to decide if Above Food Ingredients is priced correctly, providing market reflects its regular price of 0.0397 per share. As Above Food Ingredients appears to be a penny stock we also recommend to validate its total risk alpha numbers.
Above Food Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Above, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AboveAbove |
Above Food technical 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, stock market cycles, or different charting patterns.
Above Food Ingredients Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Above Food Ingredients volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Above Food Ingredients Trend Analysis
Use this graph to draw trend lines for Above Food Ingredients. You can use it to identify possible trend reversals for Above Food 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 Above Food price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Above Food Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Above Food Ingredients applied against its price change over selected period. The best fit line has a slop of 0.000042 , which means Above Food Ingredients will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Above Food price change compared to its average price change.About Above Food 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 Above Food Ingredients 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 Above Food Ingredients based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Above Food Ingredients price pattern first instead of the macroeconomic environment surrounding Above Food Ingredients. By analyzing Above Food'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 Above Food'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 Above Food specific price patterns or momentum indicators. Please read more on our technical analysis page.
2010 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 5.48 | 8.39 | 7.05 | 5.58 | Days Of Inventory On Hand | 96.33 | 43.97 | 25.36 | 24.09 |
Above Food December 2, 2024 Technical Indicators
Most technical analysis of Above 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 Above from various momentum indicators to cycle indicators. When you analyze Above 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.
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1215 | |||
Market Risk Adjusted Performance | (1.67) | |||
Mean Deviation | 19.06 | |||
Semi Deviation | 15.54 | |||
Downside Deviation | 16.95 | |||
Coefficient Of Variation | 683.82 | |||
Standard Deviation | 25.08 | |||
Variance | 629.24 | |||
Information Ratio | 0.1408 | |||
Jensen Alpha | 3.94 | |||
Total Risk Alpha | (0.53) | |||
Sortino Ratio | 0.2083 | |||
Treynor Ratio | (1.68) | |||
Maximum Drawdown | 110.34 | |||
Value At Risk | (28.15) | |||
Potential Upside | 47.68 | |||
Downside Variance | 287.34 | |||
Semi Variance | 241.58 | |||
Expected Short fall | (28.73) | |||
Skewness | 1.14 | |||
Kurtosis | 1.85 |
Additional Tools for Above Stock Analysis
When running Above Food's price analysis, check to measure Above Food'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 Above Food is operating at the current time. Most of Above Food's value examination focuses on studying past and present price action to predict the probability of Above Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Above Food's price. Additionally, you may evaluate how the addition of Above Food to your portfolios can decrease your overall portfolio volatility.