Investor (Sweden) Overlap Studies Double Exponential Moving Average

INVE-B Stock  SEK 287.20  3.15  1.11%   
Investor overlap studies tool provides the execution environment for running the Double Exponential 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 Double Exponential 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.

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. 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 Investor AB ser changes than the simple moving average.

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

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Correlation Analysis

Reduce portfolio risk simply by holding instruments which are not perfectly correlated
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Investor AB ser pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Investor position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Investor will appreciate offsetting losses from the drop in the long position's value.

Investor Pair Trading

Investor AB ser Pair Trading Analysis

The ability to find closely correlated positions to Investor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Investor when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Investor - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Investor AB ser to buy it.
The correlation of Investor is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Investor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Investor AB ser moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Investor can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Investor Stock

Investor financial ratios help investors to determine whether Investor Stock 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 Investor with respect to the benefits of owning Investor security.