Loomis Sayles Smallmid Fund Statistic Functions Standard Deviation

LSMNX Fund  USD 13.91  0.12  0.87%   
Loomis Sayles statistic functions tool provides the execution environment for running the Standard Deviation function 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 statistic functions indicators. As with most other technical indicators, the Standard Deviation function function is designed to identify and follow existing trends. Loomis Sayles statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
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. Loomis Sayles Smallmid Standard Deviation measures the spread of Loomis Sayles time series from expected value (the mean).

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 Smallmid. We use our internally-developed statistical techniques to arrive at the intrinsic value of Loomis Sayles Smallmid 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 statistic functions 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
12.8313.9114.99
Details
Intrinsic
Valuation
LowRealHigh
12.8713.9515.03
Details
Naive
Forecast
LowNextHigh
12.7213.8014.88
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.8614.0917.33
Details

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