Aercap Holdings Nv Stock Overlap Studies Bollinger Bands
AER Stock | USD 97.72 2.47 2.59% |
Symbol |
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. AerCap Holdings middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for AerCap Holdings NV. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
AerCap Holdings Technical Analysis Modules
Most technical analysis of AerCap Holdings 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 AerCap from various momentum indicators to cycle indicators. When you analyze AerCap 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 AerCap Holdings 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 AerCap Holdings NV. We use our internally-developed statistical techniques to arrive at the intrinsic value of AerCap Holdings NV based on widely used predictive technical indicators. In general, we focus on analyzing AerCap Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AerCap Holdings's daily price indicators and compare them against related drivers, such as overlap studies 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 AerCap Holdings's intrinsic value. In addition to deriving basic predictive indicators for AerCap Holdings, we also check how macroeconomic factors affect AerCap Holdings price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2021 | 2023 | 2024 (projected) | Days Sales Outstanding | 203.85 | 184.66 | 193.9 | PTB Ratio | 0.58 | 0.98 | 1.16 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AerCap Holdings' 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.
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Additional Tools for AerCap Stock Analysis
When running AerCap Holdings' price analysis, check to measure AerCap Holdings' 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 AerCap Holdings is operating at the current time. Most of AerCap Holdings' value examination focuses on studying past and present price action to predict the probability of AerCap Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AerCap Holdings' price. Additionally, you may evaluate how the addition of AerCap Holdings to your portfolios can decrease your overall portfolio volatility.