AES Stock Forecast - Day Typical Price
| AES Stock | EUR 16.14 0.19 1.19% |
AES Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast AES stock prices and determine the direction of The AES's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of AES's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of AES to cross-verify your projections. AES |
Most investors in AES cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the AES's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets AES's price structures and extracts relationships that further increase the generated results' accuracy.
Typical Price is calculated as arithmetic average of the high, low and closing price for a given trading period.| Previous Day Typical Price | Day Typical Price | Trend |
| 16.1 | 16.1 |
| Check AES Volatility | Backtest AES | Information Ratio |
AES Trading Date Momentum
| On April 28 2024 The AES was traded for 16.14 at the closing time. The maximum traded price for the trading interval was 16.29 and the lowest daily price was 15.88 . There was no trading activity during the period 0.0. Lack of trading volume on 28th of April 2024 did not result in any price rise and fall. The trading price change to the closing price today is 1.55% . |
The period considered in calculating typical price is a single trading day, however the typical price can also be applied to other time spans such as a week, month or year.
| Compare AES to competition |
Other Forecasting Options for AES
For every potential investor in AES, whether a beginner or expert, AES's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AES Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AES. Basic forecasting techniques help filter out the noise by identifying AES's price trends.AES Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with AES stock to make a market-neutral strategy. Peer analysis of AES could also be used in its relative valuation, which is a method of valuing AES by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AES Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of AES's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of AES's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AES Market Strength Events
Market strength indicators help investors to evaluate how AES stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AES shares will generate the highest return on investment. By undertsting and applying AES stock market strength indicators, traders can identify The AES entry and exit signals to maximize returns.
AES Risk Indicators
The analysis of AES's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in AES's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aes stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.77 | |||
| Semi Deviation | 1.89 | |||
| Standard Deviation | 2.24 | |||
| Variance | 5.02 | |||
| Downside Variance | 4.19 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (2.01) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with AES
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AES position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AES will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AES could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AES when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AES - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling The AES to buy it.
The correlation of AES is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AES moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AES moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AES can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of AES to cross-verify your projections. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Complementary 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.
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