AES (Germany) Technical Analysis
| AES Stock | EUR 13.86 0.01 0.07% |
As of the 20th of February, AES shows the Mean Deviation of 1.1, risk adjusted performance of 0.099, and Semi Deviation of 1.19. AES 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.
AES Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AES, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AESAES |
AES '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 AES'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 AES.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in AES on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding The AES or generate 0.0% return on investment in AES over 90 days. AES is related to or competes with CI GAMES, Penn National, TROPHY GAMES, GigaMedia, Thai Beverage, Boyd Gaming, and HOCHSCHILD MINING. AES is entity of Germany. It is traded as Stock on MU exchange. More
AES 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 AES'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 The AES upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.82 | |||
| Information Ratio | 0.0869 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 |
AES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AES's standard deviation. In reality, there are many statistical measures that can use AES historical prices to predict the future AES's volatility.| Risk Adjusted Performance | 0.099 | |||
| Jensen Alpha | 0.2008 | |||
| Total Risk Alpha | 0.0845 | |||
| Sortino Ratio | 0.0872 | |||
| Treynor Ratio | 1.02 |
AES February 20, 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 | 0.099 | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 1.1 | |||
| Semi Deviation | 1.19 | |||
| Downside Deviation | 1.82 | |||
| Coefficient Of Variation | 821.74 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.33 | |||
| Information Ratio | 0.0869 | |||
| Jensen Alpha | 0.2008 | |||
| Total Risk Alpha | 0.0845 | |||
| Sortino Ratio | 0.0872 | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 | |||
| Downside Variance | 3.3 | |||
| Semi Variance | 1.42 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 2.0 | |||
| Kurtosis | 11.0 |
AES Backtested Returns
AES appears to be not too volatile, given 3 months investment horizon. AES secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for The AES, which you can use to evaluate the volatility of the firm. Please makes use of AES's Risk Adjusted Performance of 0.099, semi deviation of 1.19, and Mean Deviation of 1.1 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AES holds a performance score of 12. The firm shows a Beta (market volatility) of 0.21, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AES's returns are expected to increase less than the market. However, during the bear market, the loss of holding AES is expected to be smaller as well. Please check AES's semi deviation, jensen alpha, maximum drawdown, as well as the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether AES's price patterns will revert.
Auto-correlation | 0.32 |
Below average predictability
The AES has below average predictability. Overlapping area represents the amount of predictability between AES time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 AES price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current AES price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
AES 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.
AES Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 AES volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About AES 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 The AES 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 The AES based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AES price pattern first instead of the macroeconomic environment surrounding AES. By analyzing AES'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 AES'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 AES specific price patterns or momentum indicators. Please read more on our technical analysis page.
AES February 20, 2026 Technical Indicators
Most technical analysis of AES 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 AES from various momentum indicators to cycle indicators. When you analyze AES 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 | 0.099 | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 1.1 | |||
| Semi Deviation | 1.19 | |||
| Downside Deviation | 1.82 | |||
| Coefficient Of Variation | 821.74 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.33 | |||
| Information Ratio | 0.0869 | |||
| Jensen Alpha | 0.2008 | |||
| Total Risk Alpha | 0.0845 | |||
| Sortino Ratio | 0.0872 | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 | |||
| Downside Variance | 3.3 | |||
| Semi Variance | 1.42 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 2.0 | |||
| Kurtosis | 11.0 |
AES February 20, 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 AES 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 | 1.00 | ||
| Day Median Price | 13.86 | ||
| Day Typical Price | 13.86 | ||
| Price Action Indicator | 0.00 |
Additional Tools for AES Stock Analysis
When running AES's price analysis, check to measure AES'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 AES is operating at the current time. Most of AES's value examination focuses on studying past and present price action to predict the probability of AES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AES's price. Additionally, you may evaluate how the addition of AES to your portfolios can decrease your overall portfolio volatility.