Investor (Sweden) Overlap Studies Triangular Moving Average

INVE-B Stock  SEK 287.20  3.15  1.11%   
Investor overlap studies tool provides the execution environment for running the Triangular Moving Average study and other technical functions against Investor. Investor 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 Triangular Moving Average study function is designed to identify and follow existing trends. Investor 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 thirty-five with a total number of output elements of twenty-six. The Triangular Moving Average shows Investor double smoothed mean price over a specified number of previous prices (i.e., averaged twice).

Investor Technical Analysis Modules

Most technical analysis of Investor 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 Investor from various momentum indicators to cycle indicators. When you analyze Investor 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 Investor 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 Investor AB ser. We use our internally-developed statistical techniques to arrive at the intrinsic value of Investor AB ser based on widely used predictive technical indicators. In general, we focus on analyzing Investor Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Investor'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 Investor's intrinsic value. In addition to deriving basic predictive indicators for Investor, we also check how macroeconomic factors affect Investor 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 Investor's 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.
Hype
Prediction
LowEstimatedHigh
286.24287.20288.16
Details
Intrinsic
Valuation
LowRealHigh
278.63279.59315.92
Details
Naive
Forecast
LowNextHigh
284.47285.43286.38
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
256.03275.77295.51
Details

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