AMERICAN Mutual Fund Overlap Studies Bollinger Bands
| CTSEX Fund | USD 11.16 0.04 0.36% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. AMERICAN FUNDS 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 AMERICAN FUNDS COLLEGE. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target..
AMERICAN FUNDS Technical Analysis Modules
Most technical analysis of AMERICAN FUNDS 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About AMERICAN FUNDS 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 FUNDS COLLEGE. We use our internally-developed statistical techniques to arrive at the intrinsic value of AMERICAN FUNDS COLLEGE based on widely used predictive technical indicators. In general, we focus on analyzing AMERICAN Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AMERICAN FUNDS'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 FUNDS's intrinsic value. In addition to deriving basic predictive indicators for AMERICAN FUNDS, we also check how macroeconomic factors affect AMERICAN FUNDS price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of AMERICAN FUNDS's 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. Please use the tools below to analyze the current value of AMERICAN FUNDS in the context of predictive analytics.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AMERICAN FUNDS in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AMERICAN FUNDS's short interest history, or implied volatility extrapolated from AMERICAN FUNDS options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Index Invested few shares | |
 | Baby Boomer Prospects Invested over 70 shares | |
 | Investor Favorites Invested over 100 shares | |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in AMERICAN FUNDS COLLEGE. Also, note that the market value of any Mutual Fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the AMERICAN FUNDS COLLEGE information on this page should be used as a complementary analysis to other AMERICAN FUNDS's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for AMERICAN Mutual Fund analysis
When running AMERICAN FUNDS's price analysis, check to measure AMERICAN FUNDS'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 AMERICAN FUNDS is operating at the current time. Most of AMERICAN FUNDS's value examination focuses on studying past and present price action to predict the probability of AMERICAN FUNDS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AMERICAN FUNDS's price. Additionally, you may evaluate how the addition of AMERICAN FUNDS to your portfolios can decrease your overall portfolio volatility.
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