Quality Reliability (Greece) Technical Analysis
| QUAL Stock | EUR 1.28 0.03 2.29% |
As of the 12th of February 2026, Quality Reliability holds the Risk Adjusted Performance of 7.0E-4, coefficient of variation of (14,518), and Variance of 4.27. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quality Reliability, as well as the relationship between them.
Quality Reliability Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quality, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QualityQuality |
Quality Reliability '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 Quality Reliability'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 Quality Reliability.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Quality Reliability on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Quality Reliability ABEE or generate 0.0% return on investment in Quality Reliability over 90 days. Quality Reliability is related to or competes with Technical Olympic, Lampsa Hellenic, Interlife General, Logismos Information, Marfin Investment, and National Bank. Quality Reliability A.B.E.E, together with its subsidiaries, delivers integrated information systems for large and mid-s... More
Quality Reliability 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 Quality Reliability'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 Quality Reliability ABEE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 9.69 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 4.03 |
Quality Reliability Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quality Reliability's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quality Reliability's standard deviation. In reality, there are many statistical measures that can use Quality Reliability historical prices to predict the future Quality Reliability's volatility.| Risk Adjusted Performance | 7.0E-4 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) |
Quality Reliability February 12, 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 | 7.0E-4 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 1.45 | |||
| Coefficient Of Variation | (14,518) | |||
| Standard Deviation | 2.07 | |||
| Variance | 4.27 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 9.69 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 4.03 | |||
| Skewness | 0.6994 | |||
| Kurtosis | 1.49 |
Quality Reliability ABEE Backtested Returns
Quality Reliability ABEE maintains Sharpe Ratio (i.e., Efficiency) of -0.0246, which implies the firm had a -0.0246 % return per unit of risk over the last 3 months. Quality Reliability ABEE exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quality Reliability's Variance of 4.27, risk adjusted performance of 7.0E-4, and Coefficient Of Variation of (14,518) to confirm the risk estimate we provide. The company holds a Beta of 0.31, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Quality Reliability's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quality Reliability is expected to be smaller as well. At this point, Quality Reliability ABEE has a negative expected return of -0.0471%. Please make sure to check Quality Reliability's coefficient of variation, information ratio, total risk alpha, as well as the relationship between the standard deviation and jensen alpha , to decide if Quality Reliability ABEE performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.58 |
Good reverse predictability
Quality Reliability ABEE has good reverse predictability. Overlapping area represents the amount of predictability between Quality Reliability time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 Quality Reliability ABEE price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Quality Reliability price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quality Reliability 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.
Quality Reliability ABEE Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Quality Reliability ABEE across different markets.
About Quality Reliability 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 Quality Reliability ABEE 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 Quality Reliability ABEE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Quality Reliability ABEE price pattern first instead of the macroeconomic environment surrounding Quality Reliability ABEE. By analyzing Quality Reliability'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 Quality Reliability'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 Quality Reliability specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quality Reliability February 12, 2026 Technical Indicators
Most technical analysis of Quality 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 Quality from various momentum indicators to cycle indicators. When you analyze Quality 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 | 7.0E-4 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 1.45 | |||
| Coefficient Of Variation | (14,518) | |||
| Standard Deviation | 2.07 | |||
| Variance | 4.27 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 9.69 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 4.03 | |||
| Skewness | 0.6994 | |||
| Kurtosis | 1.49 |
Quality Reliability February 12, 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 Quality 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 | 5,292 | ||
| Daily Balance Of Power | (0.60) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 1.29 | ||
| Day Typical Price | 1.28 | ||
| Price Action Indicator | (0.02) |
Additional Tools for Quality Stock Analysis
When running Quality Reliability's price analysis, check to measure Quality Reliability'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 Quality Reliability is operating at the current time. Most of Quality Reliability's value examination focuses on studying past and present price action to predict the probability of Quality Reliability's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quality Reliability's price. Additionally, you may evaluate how the addition of Quality Reliability to your portfolios can decrease your overall portfolio volatility.