Greater Than (Sweden) Statistic Functions Pearson Correlation Coefficient
| GREAT Stock | SEK 29.30 0.50 1.74% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Greater Than AB and its benchmark or peer.
Greater Than Technical Analysis Modules
Most technical analysis of Greater Than 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 Greater from various momentum indicators to cycle indicators. When you analyze Greater 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Greater Than 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 Greater Than AB. We use our internally-developed statistical techniques to arrive at the intrinsic value of Greater Than AB based on widely used predictive technical indicators. In general, we focus on analyzing Greater Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Greater Than'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 Greater Than's intrinsic value. In addition to deriving basic predictive indicators for Greater Than, we also check how macroeconomic factors affect Greater Than 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 Greater Than'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.
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.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for Greater Stock Analysis
When running Greater Than's price analysis, check to measure Greater Than'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 Greater Than is operating at the current time. Most of Greater Than's value examination focuses on studying past and present price action to predict the probability of Greater Than's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greater Than's price. Additionally, you may evaluate how the addition of Greater Than to your portfolios can decrease your overall portfolio volatility.