Jumbo SA (Germany) Technical Analysis
| 5JB Stock | EUR 25.00 0.44 1.79% |
As of the 3rd of February, Jumbo SA retains the Risk Adjusted Performance of (0.03), standard deviation of 1.79, and Market Risk Adjusted Performance of (3.79). Jumbo SA 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. Please check out Jumbo SA standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Jumbo SA is priced fairly, providing market reflects its last-minute price of 25.0 per share.
Jumbo SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Jumbo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JumboJumbo |
Jumbo SA '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 Jumbo SA'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 Jumbo SA.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Jumbo SA on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Jumbo SA or generate 0.0% return on investment in Jumbo SA over 90 days. Jumbo SA is related to or competes with Canlan Ice, Sixt Leasing, British American, Geely Automobile, Commercial Vehicle, JD SPORTS, and GRUPO CARSO-A1. Jumbo S.A. engages in the retail of toys, baby products, gift articles, household products, stationery, seasonal and dec... More
Jumbo SA 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 Jumbo SA'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 Jumbo SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 9.0 | |||
| Value At Risk | (3.91) | |||
| Potential Upside | 3.18 |
Jumbo SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jumbo SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jumbo SA's standard deviation. In reality, there are many statistical measures that can use Jumbo SA historical prices to predict the future Jumbo SA's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (3.80) |
Jumbo SA 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 | (0.03) | |||
| Market Risk Adjusted Performance | (3.79) | |||
| Mean Deviation | 1.2 | |||
| Coefficient Of Variation | (1,840) | |||
| Standard Deviation | 1.79 | |||
| Variance | 3.19 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (3.80) | |||
| Maximum Drawdown | 9.0 | |||
| Value At Risk | (3.91) | |||
| Potential Upside | 3.18 | |||
| Skewness | (0.19) | |||
| Kurtosis | 1.33 |
Jumbo SA Backtested Returns
Jumbo SA holds Efficiency (Sharpe) Ratio of -0.0743, which attests that the entity had a -0.0743 % return per unit of risk over the last 3 months. Jumbo SA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jumbo SA's Risk Adjusted Performance of (0.03), market risk adjusted performance of (3.79), and Standard Deviation of 1.79 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0282, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jumbo SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jumbo SA is expected to be smaller as well. At this point, Jumbo SA has a negative expected return of -0.14%. Please make sure to check out Jumbo SA's jensen alpha, treynor ratio, and the relationship between the information ratio and total risk alpha , to decide if Jumbo SA performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.01 |
Virtually no predictability
Jumbo SA has virtually no predictability. Overlapping area represents the amount of predictability between Jumbo SA 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 Jumbo SA price movement. The serial correlation of 0.01 indicates that just 1.0% of current Jumbo SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
Jumbo SA 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.
Jumbo SA 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 Jumbo SA across different markets.
About Jumbo SA 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 Jumbo SA 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 Jumbo SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Jumbo SA price pattern first instead of the macroeconomic environment surrounding Jumbo SA. By analyzing Jumbo SA'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 Jumbo SA'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 Jumbo SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
Jumbo SA February 3, 2026 Technical Indicators
Most technical analysis of Jumbo 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 Jumbo from various momentum indicators to cycle indicators. When you analyze Jumbo 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 | (0.03) | |||
| Market Risk Adjusted Performance | (3.79) | |||
| Mean Deviation | 1.2 | |||
| Coefficient Of Variation | (1,840) | |||
| Standard Deviation | 1.79 | |||
| Variance | 3.19 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (3.80) | |||
| Maximum Drawdown | 9.0 | |||
| Value At Risk | (3.91) | |||
| Potential Upside | 3.18 | |||
| Skewness | (0.19) | |||
| Kurtosis | 1.33 |
Jumbo SA 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 Jumbo 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 25.00 | ||
| Day Typical Price | 25.00 | ||
| Price Action Indicator | 0.22 |
Complementary Tools for Jumbo Stock analysis
When running Jumbo SA's price analysis, check to measure Jumbo SA'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 Jumbo SA is operating at the current time. Most of Jumbo SA's value examination focuses on studying past and present price action to predict the probability of Jumbo SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jumbo SA's price. Additionally, you may evaluate how the addition of Jumbo SA to your portfolios can decrease your overall portfolio volatility.
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