Logismos Information (Greece) Technical Analysis
LOGISMOS | EUR 1.29 0.04 3.20% |
As of the 7th of December, Logismos Information secures the Mean Deviation of 0.6665, risk adjusted performance of (0.11), and Standard Deviation of 1.07. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Logismos Information, as well as the relationship between them.
Logismos Information Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Logismos, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LogismosLogismos |
Logismos Information 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.
Logismos Information Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Logismos Information volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Logismos Information Trend Analysis
Use this graph to draw trend lines for Logismos Information Systems. You can use it to identify possible trend reversals for Logismos Information 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 Logismos Information price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Logismos Information Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Logismos Information Systems applied against its price change over selected period. The best fit line has a slop of 0.0023 , which may suggest that Logismos Information Systems market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.2, which is the sum of squared deviations for the predicted Logismos Information price change compared to its average price change.About Logismos Information 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 Logismos Information Systems 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 Logismos Information Systems based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Logismos Information price pattern first instead of the macroeconomic environment surrounding Logismos Information. By analyzing Logismos Information'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 Logismos Information'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 Logismos Information specific price patterns or momentum indicators. Please read more on our technical analysis page.
Logismos Information December 7, 2024 Technical Indicators
Most technical analysis of Logismos 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 Logismos from various momentum indicators to cycle indicators. When you analyze Logismos 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 | (0.11) | |||
Market Risk Adjusted Performance | 0.7447 | |||
Mean Deviation | 0.6665 | |||
Coefficient Of Variation | (665.32) | |||
Standard Deviation | 1.07 | |||
Variance | 1.15 | |||
Information Ratio | (0.28) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.36) | |||
Treynor Ratio | 0.7347 | |||
Maximum Drawdown | 5.58 | |||
Value At Risk | (2.17) | |||
Potential Upside | 1.6 | |||
Skewness | 0.2782 | |||
Kurtosis | 2.81 |
Other Information on Investing in Logismos Stock
Logismos Information financial ratios help investors to determine whether Logismos Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Logismos with respect to the benefits of owning Logismos Information security.