Hanover Foods Stock Technical Analysis
HNFSA Stock | USD 63.00 0.00 0.00% |
As of the 24th of December, Hanover Foods retains the Risk Adjusted Performance of 0.0084, market risk adjusted performance of 0.0045, and Standard Deviation of 1.24. Hanover Foods technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Hanover Foods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hanover, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HanoverHanover |
Hanover Foods technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Hanover Foods Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Hanover Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hanover Foods Trend Analysis
Use this graph to draw trend lines for Hanover Foods. You can use it to identify possible trend reversals for Hanover Foods 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 Hanover Foods price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hanover Foods Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Hanover Foods applied against its price change over selected period. The best fit line has a slop of 0 , which means Hanover Foods will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.13, which is the sum of squared deviations for the predicted Hanover Foods price change compared to its average price change.About Hanover Foods 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 Hanover Foods 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 Hanover Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hanover Foods price pattern first instead of the macroeconomic environment surrounding Hanover Foods. By analyzing Hanover Foods'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 Hanover Foods'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 Hanover Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hanover Foods December 24, 2024 Technical Indicators
Most technical analysis of Hanover 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 Hanover from various momentum indicators to cycle indicators. When you analyze Hanover 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 | 0.0084 | |||
Market Risk Adjusted Performance | 0.0045 | |||
Mean Deviation | 0.2339 | |||
Coefficient Of Variation | 16408.36 | |||
Standard Deviation | 1.24 | |||
Variance | 1.54 | |||
Information Ratio | (0.03) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.01) | |||
Maximum Drawdown | 7.3 | |||
Skewness | 0.5983 | |||
Kurtosis | 32.4 |
Complementary Tools for Hanover Pink Sheet analysis
When running Hanover Foods' price analysis, check to measure Hanover Foods' 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 Hanover Foods is operating at the current time. Most of Hanover Foods' value examination focuses on studying past and present price action to predict the probability of Hanover Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hanover Foods' price. Additionally, you may evaluate how the addition of Hanover Foods to your portfolios can decrease your overall portfolio volatility.
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