NISSAN CHEMICAL (Germany) Statistic Functions Linear Regression
| NSC Stock | EUR 32.60 0.40 1.24% |
| Symbol |
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression model generates relationship between price series of NISSAN CHEMICAL IND and its peer or benchmark and helps predict NISSAN CHEMICAL future price from its past values.
NISSAN CHEMICAL Technical Analysis Modules
Most technical analysis of NISSAN CHEMICAL 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 NISSAN from various momentum indicators to cycle indicators. When you analyze NISSAN 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 NISSAN CHEMICAL 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 NISSAN CHEMICAL IND. We use our internally-developed statistical techniques to arrive at the intrinsic value of NISSAN CHEMICAL IND based on widely used predictive technical indicators. In general, we focus on analyzing NISSAN Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build NISSAN CHEMICAL'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 NISSAN CHEMICAL's intrinsic value. In addition to deriving basic predictive indicators for NISSAN CHEMICAL, we also check how macroeconomic factors affect NISSAN CHEMICAL price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.Did you try this?
Run Price Transformation Now
Price TransformationUse Price Transformation models to analyze the depth of different equity instruments across global markets |
| All Next | Launch Module |
NISSAN CHEMICAL IND 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 NISSAN CHEMICAL 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 NISSAN CHEMICAL will appreciate offsetting losses from the drop in the long position's value.NISSAN CHEMICAL Pair Trading
NISSAN CHEMICAL IND Pair Trading Analysis
The ability to find closely correlated positions to NISSAN CHEMICAL could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NISSAN CHEMICAL 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 NISSAN CHEMICAL - 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 NISSAN CHEMICAL IND to buy it.
The correlation of NISSAN CHEMICAL 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 NISSAN CHEMICAL moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NISSAN CHEMICAL IND 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 NISSAN CHEMICAL 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.Additional Tools for NISSAN Stock Analysis
When running NISSAN CHEMICAL's price analysis, check to measure NISSAN CHEMICAL'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 NISSAN CHEMICAL is operating at the current time. Most of NISSAN CHEMICAL's value examination focuses on studying past and present price action to predict the probability of NISSAN CHEMICAL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NISSAN CHEMICAL's price. Additionally, you may evaluate how the addition of NISSAN CHEMICAL to your portfolios can decrease your overall portfolio volatility.