Loomis Sayles Investment Fund Volatility Indicators Average True Range
LGBCX Fund | USD 9.56 0.03 0.31% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-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 Loomis Sayles Investment volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Loomis Sayles Technical Analysis Modules
Most technical analysis of Loomis Sayles 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 Loomis from various momentum indicators to cycle indicators. When you analyze Loomis 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 Loomis Sayles 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 Loomis Sayles Investment. We use our internally-developed statistical techniques to arrive at the intrinsic value of Loomis Sayles Investment based on widely used predictive technical indicators. In general, we focus on analyzing Loomis Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Loomis Sayles's daily price indicators and compare them against related drivers, such as volatility indicators 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 Loomis Sayles's intrinsic value. In addition to deriving basic predictive indicators for Loomis Sayles, we also check how macroeconomic factors affect Loomis Sayles 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, anticipate that the market will even out over time. This tendency of Loomis Sayles' 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.
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 Loomis Sayles 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, Loomis Sayles' short interest history, or implied volatility extrapolated from Loomis Sayles 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.Chemicals Invested over 30 shares | ||
Driverless Cars Invested over 60 shares | ||
Baby Boomer Prospects Invested over 70 shares | ||
Investor Favorites Invested over 40 shares | ||
Business Services Invested few shares | ||
Hedge Favorites Invested few shares | ||
Adviser Favorites Invested few shares | ||
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Loomis Sayles Investment. 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 Loomis Sayles Investment information on this page should be used as a complementary analysis to other Loomis Sayles' 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.