Performance Food (Germany) Technical Analysis
| P5F Stock | 82.50 0.50 0.60% |
As of the 2nd of December, Performance Food holds the Semi Deviation of 0.7504, risk adjusted performance of 0.1827, and Coefficient Of Variation of 429.01. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Performance Food, as well as the relationship between them.
Performance 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 Performance, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PerformancePerformance |
Performance 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.
Performance Food 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 Performance Food volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Performance Food Trend Analysis
Use this graph to draw trend lines for Performance Food Group. You can use it to identify possible trend reversals for Performance 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 Performance Food price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Performance Food Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Performance Food Group applied against its price change over selected period. The best fit line has a slop of 0.30 , which means Performance Food Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3313.8, which is the sum of squared deviations for the predicted Performance Food price change compared to its average price change.About Performance 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 Performance Food Group 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 Performance Food Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Performance Food price pattern first instead of the macroeconomic environment surrounding Performance Food. By analyzing Performance 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 Performance 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 Performance Food specific price patterns or momentum indicators. Please read more on our technical analysis page.
Performance Food December 2, 2024 Technical Indicators
Most technical analysis of Performance 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 Performance from various momentum indicators to cycle indicators. When you analyze Performance 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1827 | |||
| Market Risk Adjusted Performance | 0.8453 | |||
| Mean Deviation | 1.09 | |||
| Semi Deviation | 0.7504 | |||
| Downside Deviation | 1.26 | |||
| Coefficient Of Variation | 429.01 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.95 | |||
| Information Ratio | 0.1345 | |||
| Jensen Alpha | 0.2672 | |||
| Total Risk Alpha | 0.0823 | |||
| Sortino Ratio | 0.1493 | |||
| Treynor Ratio | 0.8353 | |||
| Maximum Drawdown | 6.59 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 3.33 | |||
| Downside Variance | 1.58 | |||
| Semi Variance | 0.5631 | |||
| Expected Short fall | (1.61) | |||
| Skewness | 0.5144 | |||
| Kurtosis | 0.3787 |
Additional Tools for Performance Stock Analysis
When running Performance Food's price analysis, check to measure Performance 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 Performance Food is operating at the current time. Most of Performance Food's value examination focuses on studying past and present price action to predict the probability of Performance 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 Performance Food's price. Additionally, you may evaluate how the addition of Performance Food to your portfolios can decrease your overall portfolio volatility.