Performance Food (Germany) Technical Analysis
| P5F Stock | 82.00 1.50 1.86% |
As of the 3rd of February, Performance Food holds the Risk Adjusted Performance of (0.04), coefficient of variation of (1,782), and Variance of 3.27. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Performance Food's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Performance Food.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Performance Food on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Performance Food Group or generate 0.0% return on investment in Performance Food over 90 days. Performance Food is related to or competes with SPORT LISBOA, GAMES OPERATORS, GAMING FAC, Hochschild Mining, Games Workshop, and COLUMBIA SPORTSWEAR. Performance Food is entity of Germany. It is traded as Stock on STU exchange. More
Performance Food Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Performance Food's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Performance Food Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.21 |
Performance Food Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Performance Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Performance Food's standard deviation. In reality, there are many statistical measures that can use Performance Food historical prices to predict the future Performance Food's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.46) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Performance Food's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Performance Food February 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.45) | |||
| Mean Deviation | 1.29 | |||
| Coefficient Of Variation | (1,782) | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.27 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.46) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.21 | |||
| Skewness | (0.31) | |||
| Kurtosis | 1.38 |
Performance Food Backtested Returns
Performance Food maintains Sharpe Ratio (i.e., Efficiency) of -0.0207, which implies the firm had a -0.0207 % return per unit of risk over the last 3 months. Performance Food exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Performance Food's Risk Adjusted Performance of (0.04), variance of 3.27, and Coefficient Of Variation of (1,782) to confirm the risk estimate we provide. The company holds a Beta of 0.24, which implies not very significant fluctuations relative to the market. As returns on the market increase, Performance Food's returns are expected to increase less than the market. However, during the bear market, the loss of holding Performance Food is expected to be smaller as well. At this point, Performance Food has a negative expected return of -0.0364%. Please make sure to check Performance Food's daily balance of power, and the relationship between the skewness and day typical price , to decide if Performance Food performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Performance Food Group has weak reverse predictability. Overlapping area represents the amount of predictability between Performance Food time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Performance Food price movement. The serial correlation of -0.22 indicates that over 22.0% of current Performance Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 7.45 |
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 twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Performance Food across different markets.
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 February 3, 2026 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.45) | |||
| Mean Deviation | 1.29 | |||
| Coefficient Of Variation | (1,782) | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.27 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.46) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.21 | |||
| Skewness | (0.31) | |||
| Kurtosis | 1.38 |
Performance Food February 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Performance stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.04 | ||
| Daily Balance Of Power | 0.43 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 80.75 | ||
| Day Typical Price | 81.17 | ||
| Price Action Indicator | 2.00 | ||
| Market Facilitation Index | 3.50 |
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.