HMS Networks (Sweden) Math Operators Indexes of lowest and highest values

HMS Stock  SEK 390.20  0.60  0.15%   
HMS Networks math operators tool provides the execution environment for running the Indexes of lowest and highest values operator and other technical functions against HMS Networks. HMS Networks 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 math operators indicators. As with most other technical indicators, the Indexes of lowest and highest values operator function is designed to identify and follow existing trends and Vitec Software Group. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Vitec Software Group and HMS Networks. Please specify Time Period to run this model.

The output start index for this execution was nine with a total number of output elements of fifty-two. The Indexes of lowest and highest values over a specified period line shows minimum and maximum index of HMS Networks AB price series.

HMS Networks Technical Analysis Modules

Most technical analysis of HMS Networks 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 HMS from various momentum indicators to cycle indicators. When you analyze HMS 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 HMS Networks 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 HMS Networks AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of HMS Networks AB based on widely used predictive technical indicators. In general, we focus on analyzing HMS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build HMS Networks's daily price indicators and compare them against related drivers, such as math operators 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 HMS Networks's intrinsic value. In addition to deriving basic predictive indicators for HMS Networks, we also check how macroeconomic factors affect HMS Networks price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
388.18390.20392.22
Details
Intrinsic
Valuation
LowRealHigh
330.12332.14429.22
Details
Naive
Forecast
LowNextHigh
398.33400.36402.38
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
363.48379.68395.88
Details

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HMS Networks AB 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 HMS Networks 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 HMS Networks will appreciate offsetting losses from the drop in the long position's value.

HMS Networks Pair Trading

HMS Networks AB Pair Trading Analysis

The ability to find closely correlated positions to HMS Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace HMS Networks 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 HMS Networks - 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 HMS Networks AB to buy it.
The correlation of HMS Networks 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 HMS Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if HMS Networks AB 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 HMS Networks 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

Additional Tools for HMS Stock Analysis

When running HMS Networks' price analysis, check to measure HMS Networks' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy HMS Networks is operating at the current time. Most of HMS Networks' value examination focuses on studying past and present price action to predict the probability of HMS Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HMS Networks' price. Additionally, you may evaluate how the addition of HMS Networks to your portfolios can decrease your overall portfolio volatility.