Qliro AB (Sweden) Statistic Functions Linear Regression Intercept

QLIRO Stock  SEK 17.50  0.30  1.74%   
Qliro AB statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Qliro AB. Qliro AB 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 Intercept function function is designed to identify and follow existing trends. Qliro AB 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.

Function
Time Period
Execute Function
The output start index for this execution was fifty-nine with a total number of output elements of two. The Linear Regression Intercept is the expected mean value of Qliro AB price seriese where values of its benchmark or peer price series are zero.

Qliro AB Technical Analysis Modules

Most technical analysis of Qliro AB 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 Qliro from various momentum indicators to cycle indicators. When you analyze Qliro 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 Qliro AB 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 Qliro AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of Qliro AB based on widely used predictive technical indicators. In general, we focus on analyzing Qliro Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Qliro AB'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 Qliro AB's intrinsic value. In addition to deriving basic predictive indicators for Qliro AB, we also check how macroeconomic factors affect Qliro AB price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
15.9017.5019.10
Details
Intrinsic
Valuation
LowRealHigh
13.4415.0419.25
Details
Naive
Forecast
LowNextHigh
15.6117.2218.82
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.5718.0419.51
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Qliro AB in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Qliro AB's short interest history, or implied volatility extrapolated from Qliro AB options trading.

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Additional Tools for Qliro Stock Analysis

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