AES (Germany) Technical Analysis
AES Stock | 12.46 0.03 0.24% |
As of the 26th of November, AES shows the Risk Adjusted Performance of (0.09), mean deviation of 1.73, and Coefficient Of Variation of (765.37). 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 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 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 AES volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AES Trend Analysis
Use this graph to draw trend lines for The AES. You can use it to identify possible trend reversals for AES 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 AES price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AES Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The AES applied against its price change over selected period. The best fit line has a slop of 0.06 , which may suggest that The AES market price will keep on failing further. It has 122 observation points and a regression sum of squares at 148.48, which is the sum of squared deviations for the predicted AES price change compared to its average price change.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 November 26, 2024 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 | (0.09) | |||
Market Risk Adjusted Performance | 1.4 | |||
Mean Deviation | 1.73 | |||
Coefficient Of Variation | (765.37) | |||
Standard Deviation | 2.62 | |||
Variance | 6.88 | |||
Information Ratio | (0.18) | |||
Jensen Alpha | (0.32) | |||
Total Risk Alpha | (0.77) | |||
Treynor Ratio | 1.39 | |||
Maximum Drawdown | 19.62 | |||
Value At Risk | (3.87) | |||
Potential Upside | 2.44 | |||
Skewness | 1.37 | |||
Kurtosis | 8.08 |
AES November 26, 2024 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 | 0.01 | ||
Daily Balance Of Power | 0.38 | ||
Rate Of Daily Change | 1.00 | ||
Day Median Price | 12.50 | ||
Day Typical Price | 12.49 | ||
Price Action Indicator | (0.02) | ||
Market Facilitation Index | 0.08 |
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.