Salmar Asa Stock Statistic Functions Time Series Forecast

SALRY Stock  USD 12.34  0.57  4.42%   
SalMar ASA statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against SalMar ASA. SalMar ASA 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 statistic functions indicators. As with most other technical indicators, the Time Series Forecast function function is designed to identify and follow existing trends. SalMar ASA statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Time Series Forecast uses simple linear regression to derive SalMar ASA best fit line over a given time period and plot it forward over user-defined time period.

SalMar ASA Technical Analysis Modules

Most technical analysis of SalMar ASA 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 SalMar from various momentum indicators to cycle indicators. When you analyze SalMar 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 SalMar ASA 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 SalMar ASA. We use our internally-developed statistical techniques to arrive at the intrinsic value of SalMar ASA based on widely used predictive technical indicators. In general, we focus on analyzing SalMar Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SalMar ASA's daily price indicators and compare them against related drivers, such as statistic functions 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 SalMar ASA's intrinsic value. In addition to deriving basic predictive indicators for SalMar ASA, we also check how macroeconomic factors affect SalMar ASA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
9.4512.3415.23
Details
Intrinsic
Valuation
LowRealHigh
7.5810.4713.36
Details
Naive
Forecast
LowNextHigh
10.1313.0315.92
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.4312.4813.52
Details

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SalMar ASA 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 SalMar ASA 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 SalMar ASA will appreciate offsetting losses from the drop in the long position's value.

SalMar ASA Pair Trading

SalMar ASA Pair Trading Analysis

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

When running SalMar ASA's price analysis, check to measure SalMar ASA's 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 SalMar ASA is operating at the current time. Most of SalMar ASA's value examination focuses on studying past and present price action to predict the probability of SalMar ASA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SalMar ASA's price. Additionally, you may evaluate how the addition of SalMar ASA to your portfolios can decrease your overall portfolio volatility.