Loomis Sayles Small Fund Overlap Studies Bollinger Bands

LSCRX Fund  USD 25.71  0.11  0.43%   
Loomis Sayles overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Loomis Sayles. Loomis Sayles value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Bollinger Bands study function is designed to identify and follow existing trends. Loomis Sayles overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

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The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Loomis Sayles 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 Loomis Sayles Small. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

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.

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 Small. We use our internally-developed statistical techniques to arrive at the intrinsic value of Loomis Sayles Small 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 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 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.
Hype
Prediction
LowEstimatedHigh
24.5425.7126.88
Details
Intrinsic
Valuation
LowRealHigh
24.1825.3526.52
Details
Naive
Forecast
LowNextHigh
24.5125.6926.86
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.9925.4625.94
Details

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Loomis Sayles financial ratios help investors to determine whether Loomis 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 Loomis with respect to the benefits of owning Loomis Sayles security.
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