SETF10GILT Overlap Studies Bollinger Bands

SM
SETF10GILT -- India Stock  

INR 199.67  16.28  7.54%

SBI MUTUAL overlap-studies tool provides you with the Overlap Studies execution environment for running Bollinger Bands study against SBI MUTUAL. SBI MUTUAL 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 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. SBI MUTUAL 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 SBI MUTUAL FUND. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target. View also all equity analysis or get more info about bollinger bands overlap studies indicator.

Additional Technical Research

About SBI MUTUAL Predictive Technical Analysis

The Macroaxis 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 SBI MUTUAL FUND. We use our internally-developed statistical techniques to arrive at the intrinsic value of SBI MUTUAL FUND based on widely used predictive technical indicators. In general, we focus on analyzing SBI MUTUAL stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SBI MUTUAL'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 SBI MUTUAL's intrinsic value. In addition to deriving basic predictive indicators for SBI MUTUAL, we also check how macroeconomic factors affect SBI MUTUAL price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Bollinger
Band Projection (param)
LowerMiddle BandUpper
183.58199.19214.81
Details
Hype
Prediction
LowEstimated ValueHigh
196.23199.67203.11
Details
Intrinsic
Valuation
LowReal ValueHigh
161.18164.62219.64
Details
Naive
Forecast
LowNext ValueHigh
205.32208.76212.19
Details

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