American Balanced Fund Technical Analysis

AMBFX Fund  USD 36.81  0.07  0.19%   
As of the 27th of November, American Balanced shows the mean deviation of 0.3637, and Risk Adjusted Performance of 0.0783. American Balanced 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 entity's future prices.

American Balanced 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 American
  
American Balanced's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
American Balanced technical mutual fund 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, fund market cycles, or different charting patterns.
A focus of American Balanced technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of American Balanced trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

American Balanced Technical Analysis

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The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Balanced volatility. High ATR values indicate high volatility, and low values indicate low volatility.

American Balanced Trend Analysis

Use this graph to draw trend lines for American Balanced Fund. You can use it to identify possible trend reversals for American Balanced 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 Balanced price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

American Balanced Best Fit Change Line

The following chart estimates an ordinary least squares regression model for American Balanced Fund applied against its price change over selected period. The best fit line has a slop of   0.02  , which means American Balanced Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 14.09, which is the sum of squared deviations for the predicted American Balanced price change compared to its average price change.

About American Balanced 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 Balanced Fund 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 Balanced Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on American Balanced price pattern first instead of the macroeconomic environment surrounding American Balanced. By analyzing American Balanced'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 Balanced'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 Balanced specific price patterns or momentum indicators. Please read more on our technical analysis page.

American Balanced November 27, 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.

American Balanced One Year Return

Based on the recorded statements, American Balanced Fund has an One Year Return of 21.4124%. This is much higher than that of the American Funds family and notably higher than that of the Allocation--50% to 70% Equity category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.

Other Information on Investing in American Mutual Fund

American Balanced financial ratios help investors to determine whether American Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in American with respect to the benefits of owning American Balanced security.
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk