The Aes Stock Pattern Recognition Long Line Candle

AES Stock  USD 13.97  0.03  0.21%   
AES pattern recognition tool provides the execution environment for running the Long Line Candle recognition and other technical functions against AES. AES value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of pattern recognition indicators. As with most other technical indicators, the Long Line Candle recognition function is designed to identify and follow existing trends. AES momentum indicators are usually used to generate trading rules based on assumptions that AES trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of ten valid pattern recognition events for the selected time horizon. The Long Line Candle pattern shows indecision reversal trend for AES.

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.

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 pattern recognition 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.
 2021 2022 2023 (projected)
Dividend Yield0.0250.0220.0345
Price To Sales Ratio1.441.521.02
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.
Hype
Prediction
LowEstimatedHigh
11.3113.9616.61
Details
Intrinsic
Valuation
LowRealHigh
12.5717.7520.40
Details
Naive
Forecast
LowNextHigh
10.2312.8915.54
Details
14 Analysts
Consensus
LowTargetHigh
20.5722.6025.09
Details

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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.