Allegroeu Sa Stock Technical Analysis
| ALEGF Stock | USD 8.55 0.00 0.00% |
As of the 12th of February 2026, Allegroeu shows the Risk Adjusted Performance of 0.0601, standard deviation of 3.28, and Mean Deviation of 0.7981. Allegroeu SA technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Allegroeu SA standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Allegroeu SA is priced correctly, providing market reflects its regular price of 8.55 per share. Given that Allegroeu has variance of 10.76, we suggest you to validate Allegroeu SA's prevailing market performance to make sure the company can sustain itself at a future point.
Allegroeu Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Allegroeu, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AllegroeuAllegroeu |
Allegroeu '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 Allegroeu's pink sheet 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 Allegroeu.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Allegroeu on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Allegroeu SA or generate 0.0% return on investment in Allegroeu over 90 days. Allegroeu is related to or competes with ZALANDO SE, Zalando SE, JB Hi-Fi, Dufry AG, ZOZO, Dufry AG, and Nitori Holdings. Allegro.eu SA operates a go-to commerce platform for consumers in Poland More
Allegroeu 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 Allegroeu's pink sheet 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 Allegroeu SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0348 | |||
| Maximum Drawdown | 35.56 |
Allegroeu Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allegroeu's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allegroeu's standard deviation. In reality, there are many statistical measures that can use Allegroeu historical prices to predict the future Allegroeu's volatility.| Risk Adjusted Performance | 0.0601 | |||
| Jensen Alpha | 0.1826 | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.7785 |
Allegroeu 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 | 0.0601 | |||
| Market Risk Adjusted Performance | 0.7885 | |||
| Mean Deviation | 0.7981 | |||
| Coefficient Of Variation | 1508.67 | |||
| Standard Deviation | 3.28 | |||
| Variance | 10.76 | |||
| Information Ratio | 0.0348 | |||
| Jensen Alpha | 0.1826 | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.7785 | |||
| Maximum Drawdown | 35.56 | |||
| Skewness | 4.52 | |||
| Kurtosis | 40.77 |
Allegroeu SA Backtested Returns
Allegroeu SA secures Sharpe Ratio (or Efficiency) of -0.0851, which signifies that the company had a -0.0851 % return per unit of risk over the last 3 months. Allegroeu SA exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Allegroeu's Standard Deviation of 3.28, risk adjusted performance of 0.0601, and Mean Deviation of 0.7981 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.27, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Allegroeu's returns are expected to increase less than the market. However, during the bear market, the loss of holding Allegroeu is expected to be smaller as well. At this point, Allegroeu SA has a negative expected return of -0.14%. Please make sure to confirm Allegroeu's treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Allegroeu SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Allegroeu SA has insignificant reverse predictability. Overlapping area represents the amount of predictability between Allegroeu 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 Allegroeu SA price movement. The serial correlation of -0.18 indicates that over 18.0% of current Allegroeu price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Allegroeu technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Allegroeu SA 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 Allegroeu SA across different markets.
About Allegroeu 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 Allegroeu 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 Allegroeu SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Allegroeu SA price pattern first instead of the macroeconomic environment surrounding Allegroeu SA. By analyzing Allegroeu'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 Allegroeu'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 Allegroeu specific price patterns or momentum indicators. Please read more on our technical analysis page.
Allegroeu February 12, 2026 Technical Indicators
Most technical analysis of Allegroeu 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 Allegroeu from various momentum indicators to cycle indicators. When you analyze Allegroeu 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 | 0.0601 | |||
| Market Risk Adjusted Performance | 0.7885 | |||
| Mean Deviation | 0.7981 | |||
| Coefficient Of Variation | 1508.67 | |||
| Standard Deviation | 3.28 | |||
| Variance | 10.76 | |||
| Information Ratio | 0.0348 | |||
| Jensen Alpha | 0.1826 | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 0.7785 | |||
| Maximum Drawdown | 35.56 | |||
| Skewness | 4.52 | |||
| Kurtosis | 40.77 |
Allegroeu 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 Allegroeu 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 8.55 | ||
| Day Typical Price | 8.55 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Allegroeu Pink Sheet analysis
When running Allegroeu's price analysis, check to measure Allegroeu'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 Allegroeu is operating at the current time. Most of Allegroeu's value examination focuses on studying past and present price action to predict the probability of Allegroeu's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allegroeu's price. Additionally, you may evaluate how the addition of Allegroeu to your portfolios can decrease your overall portfolio volatility.
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