The Aes Stock Statistic Functions Linear Regression
| AES Stock | USD 10.12 0.14 1.40% |
| Symbol |
The output start index for this execution was fourty-nine with a total number of output elements of twelve. The Linear Regression model generates relationship between price series of AES and its peer or benchmark and helps predict AES future price from its past values.
AES Technical Analysis Modules
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 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 |
About AES Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The AES. We use our internally-developed statistical techniques to arrive at the intrinsic value of The AES based on widely used predictive technical indicators. In general, we focus on analyzing AES Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AES's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of AES's intrinsic value. In addition to deriving basic predictive indicators for AES, we also check how macroeconomic factors affect AES price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 | 2025 (projected) | |
| Dividend Yield | 0.022 | 0.0345 | 0.0528 | 0.0554 |
| Price To Sales Ratio | 1.52 | 1.02 | 0.75 | 0.71 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AES'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.
Align your values with your investing style
In addition to having AES in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | SRI Sustainable Growth Invested over 40 shares | |
 | Macroaxis Index Invested over 500 shares | |
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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.