Shaniv (Israel) Statistic Functions Pearson Correlation Coefficient
| SHAN Stock | ILS 354.10 0.00 0.00% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Shaniv and its benchmark or peer.
Shaniv Technical Analysis Modules
Most technical analysis of Shaniv 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 Shaniv from various momentum indicators to cycle indicators. When you analyze Shaniv 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Shaniv 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 Shaniv. We use our internally-developed statistical techniques to arrive at the intrinsic value of Shaniv based on widely used predictive technical indicators. In general, we focus on analyzing Shaniv Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Shaniv'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 Shaniv's intrinsic value. In addition to deriving basic predictive indicators for Shaniv, we also check how macroeconomic factors affect Shaniv 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 Shaniv'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.
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Shaniv. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Complementary Tools for Shaniv Stock analysis
When running Shaniv's price analysis, check to measure Shaniv'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 Shaniv is operating at the current time. Most of Shaniv's value examination focuses on studying past and present price action to predict the probability of Shaniv's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shaniv's price. Additionally, you may evaluate how the addition of Shaniv to your portfolios can decrease your overall portfolio volatility.
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