Logismos Information (Greece) Technical Analysis
| LOGISMOS | EUR 2.50 0.04 1.63% |
As of the 31st of January, Logismos Information secures the Risk Adjusted Performance of 0.1304, downside deviation of 1.33, and Mean Deviation of 0.902. 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 '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 Logismos Information'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 Logismos Information.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Logismos Information on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Logismos Information Systems or generate 0.0% return on investment in Logismos Information over 90 days. Logismos Information is related to or competes with Piraeus Financial, Technical Olympic, Athens Medical, Profile Systems, Elvalhalcor Hellenic, Elton International, and Intertech. Logismos Information Systems S.A. provides information technology solutions and services More
Logismos Information 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 Logismos Information'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 Logismos Information Systems upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.33 | |||
| Information Ratio | 0.1297 | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 2.78 |
Logismos Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Logismos Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Logismos Information's standard deviation. In reality, there are many statistical measures that can use Logismos Information historical prices to predict the future Logismos Information's volatility.| Risk Adjusted Performance | 0.1304 | |||
| Jensen Alpha | 0.2458 | |||
| Total Risk Alpha | 0.1352 | |||
| Sortino Ratio | 0.1383 | |||
| Treynor Ratio | (1.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Logismos Information'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.
Logismos Information January 31, 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 | 0.1304 | |||
| Market Risk Adjusted Performance | (1.17) | |||
| Mean Deviation | 0.902 | |||
| Semi Deviation | 0.4495 | |||
| Downside Deviation | 1.33 | |||
| Coefficient Of Variation | 578.44 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.02 | |||
| Information Ratio | 0.1297 | |||
| Jensen Alpha | 0.2458 | |||
| Total Risk Alpha | 0.1352 | |||
| Sortino Ratio | 0.1383 | |||
| Treynor Ratio | (1.18) | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 2.78 | |||
| Downside Variance | 1.77 | |||
| Semi Variance | 0.202 | |||
| Expected Short fall | (2.37) | |||
| Skewness | 1.99 | |||
| Kurtosis | 5.95 |
Logismos Information Backtested Returns
As of now, Logismos Stock is slightly risky. Logismos Information has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Logismos Information, which you can use to evaluate the volatility of the firm. Please verify Logismos Information's Risk Adjusted Performance of 0.1304, mean deviation of 0.902, and Downside Deviation of 1.33 to check out if the risk estimate we provide is consistent with the expected return of 0.16%. Logismos Information has a performance score of 9 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Logismos Information are expected to decrease at a much lower rate. During the bear market, Logismos Information is likely to outperform the market. Logismos Information right now secures a risk of 1.36%. Please verify Logismos Information Systems potential upside, and the relationship between the total risk alpha and kurtosis , to decide if Logismos Information Systems will be following its current price movements.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Logismos Information Systems has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Logismos Information time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Logismos Information price movement. The serial correlation of -0.73 indicates that around 73.0% of current Logismos Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 twenty-four with a total number of output elements of thirty-seven. 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.
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 January 31, 2026 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 | 0.1304 | |||
| Market Risk Adjusted Performance | (1.17) | |||
| Mean Deviation | 0.902 | |||
| Semi Deviation | 0.4495 | |||
| Downside Deviation | 1.33 | |||
| Coefficient Of Variation | 578.44 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.02 | |||
| Information Ratio | 0.1297 | |||
| Jensen Alpha | 0.2458 | |||
| Total Risk Alpha | 0.1352 | |||
| Sortino Ratio | 0.1383 | |||
| Treynor Ratio | (1.18) | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 2.78 | |||
| Downside Variance | 1.77 | |||
| Semi Variance | 0.202 | |||
| Expected Short fall | (2.37) | |||
| Skewness | 1.99 | |||
| Kurtosis | 5.95 |
Logismos Information January 31, 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 Logismos 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 | 0.03 | ||
| Daily Balance Of Power | 0.50 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 2.54 | ||
| Day Typical Price | 2.53 | ||
| Price Action Indicator | (0.02) | ||
| Market Facilitation Index | 0.08 |
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.