American Express (Brazil) Technical Analysis
AXPB34 Stock | BRL 182.79 2.14 1.16% |
As of the 16th of December 2024, American Express shows the mean deviation of 1.45, and Risk Adjusted Performance of 0.1446. American Express technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
American Express Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as American, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AmericanAmerican |
American Express technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
American Express Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of American Express volatility. High ATR values indicate high volatility, and low values indicate low volatility.
American Express Trend Analysis
Use this graph to draw trend lines for American Express. You can use it to identify possible trend reversals for American Express as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual American Express price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.American Express Best Fit Change Line
The following chart estimates an ordinary least squares regression model for American Express applied against its price change over selected period. The best fit line has a slop of 0.71 , which means American Express will continue generating value for investors. It has 122 observation points and a regression sum of squares at 19230.08, which is the sum of squared deviations for the predicted American Express price change compared to its average price change.About American Express Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of American Express on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of American Express based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on American Express price pattern first instead of the macroeconomic environment surrounding American Express. By analyzing American Express's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of American Express's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to American Express specific price patterns or momentum indicators. Please read more on our technical analysis page.
American Express December 16, 2024 Technical Indicators
Most technical analysis of American 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 different 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 |
Risk Adjusted Performance | 0.1446 | |||
Market Risk Adjusted Performance | 2.5 | |||
Mean Deviation | 1.45 | |||
Semi Deviation | 1.49 | |||
Downside Deviation | 1.87 | |||
Coefficient Of Variation | 524.9 | |||
Standard Deviation | 2.07 | |||
Variance | 4.28 | |||
Information Ratio | 0.1421 | |||
Jensen Alpha | 0.37 | |||
Total Risk Alpha | 0.127 | |||
Sortino Ratio | 0.1567 | |||
Treynor Ratio | 2.49 | |||
Maximum Drawdown | 13.63 | |||
Value At Risk | (2.62) | |||
Potential Upside | 3.36 | |||
Downside Variance | 3.51 | |||
Semi Variance | 2.21 | |||
Expected Short fall | (1.60) | |||
Skewness | 0.4645 | |||
Kurtosis | 3.08 |
Complementary 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.
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