Solar AS (Denmark) Statistic Functions Linear Regression

SOLAR-B Stock  DKK 332.50  3.50  1.06%   
Solar AS statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Solar AS. Solar AS 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 Linear Regression function function is designed to identify and follow existing trends. Solar AS 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 two with a total number of output elements of fifty-nine. The Linear Regression model generates relationship between price series of Solar AS and its peer or benchmark and helps predict Solar AS future price from its past values.

Solar AS Technical Analysis Modules

Most technical analysis of Solar AS 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 Solar from various momentum indicators to cycle indicators. When you analyze Solar 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 Solar AS 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 Solar AS. We use our internally-developed statistical techniques to arrive at the intrinsic value of Solar AS based on widely used predictive technical indicators. In general, we focus on analyzing Solar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Solar AS'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 Solar AS's intrinsic value. In addition to deriving basic predictive indicators for Solar AS, we also check how macroeconomic factors affect Solar AS 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 Solar AS'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
329.62332.50335.38
Details
Intrinsic
Valuation
LowRealHigh
305.19308.07365.75
Details
Naive
Forecast
LowNextHigh
338.24341.13344.01
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
326.44330.00333.56
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Solar AS. Your research has to be compared to or analyzed against Solar AS's peers to derive any actionable benefits. When done correctly, Solar AS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Solar AS.

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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Money Flow Index

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Solar AS 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 Solar AS 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 Solar AS will appreciate offsetting losses from the drop in the long position's value.

Solar AS Pair Trading

Solar AS Pair Trading Analysis

The ability to find closely correlated positions to Solar AS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Solar AS 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 Solar AS - 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 Solar AS to buy it.
The correlation of Solar AS 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 Solar AS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Solar AS 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 Solar AS 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
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Solar AS. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for Solar Stock analysis

When running Solar AS's price analysis, check to measure Solar AS'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 Solar AS is operating at the current time. Most of Solar AS's value examination focuses on studying past and present price action to predict the probability of Solar AS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solar AS's price. Additionally, you may evaluate how the addition of Solar AS to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Solar AS's value and its price as these two are different measures arrived at by different means. Investors typically determine if Solar AS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Solar AS's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.