SBI Mutual (India) Overlap Studies Double Exponential Moving Average

SETFNIF50   260.34  0.26  0.10%   
SBI Mutual overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against SBI Mutual. SBI Mutual 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 Double Exponential Moving Average study function is designed to identify and follow existing trends. SBI Mutual overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was twenty-six with a total number of output elements of thirty-five. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to SBI Mutual Fund changes than the simple moving average.

SBI Mutual Technical Analysis Modules

Most technical analysis of SBI Mutual 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 SBI from various momentum indicators to cycle indicators. When you analyze SBI 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 SBI Mutual 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 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 Etf 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.
Hype
Prediction
LowEstimatedHigh
259.61260.33261.05
Details
Intrinsic
Valuation
LowRealHigh
259.91260.63261.35
Details
Naive
Forecast
LowNextHigh
264.22264.94265.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
252.06257.44262.82
Details

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Other Information on Investing in SBI Etf

SBI Mutual financial ratios help investors to determine whether SBI Etf 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 SBI with respect to the benefits of owning SBI Mutual security.