American Express Stock Overlap Studies All Moving Average
| AXP Stock | USD 293.00 5.29 1.84% |
| Symbol |
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Moving Average is predictive technique used to analyze American Express price data points by creating a series of averages of different subsets of American Express entire price series.
American Express Technical Analysis Modules
Most technical analysis of American Express 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 American from various momentum indicators to cycle indicators. When you analyze American 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About American Express 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 American Express. We use our internally-developed statistical techniques to arrive at the intrinsic value of American Express based on widely used predictive technical indicators. In general, we focus on analyzing American Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build American Express'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 American Express's intrinsic value. In addition to deriving basic predictive indicators for American Express, we also check how macroeconomic factors affect American Express price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0112 | 0.0141 | 0.0129 | 0.0208 | Price To Sales Ratio | 3.05 | 2.1 | 2.28 | 1.59 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of American Express' 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 American Stock Analysis
When running American Express' price analysis, check to measure American Express' 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 American Express is operating at the current time. Most of American Express' value examination focuses on studying past and present price action to predict the probability of American Express' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Express' price. Additionally, you may evaluate how the addition of American Express to your portfolios can decrease your overall portfolio volatility.