Kawasaki Kisen Kaisha Stock Overlap Studies Simple Moving Average
| KAIKY Stock | USD 14.10 0.21 1.51% |
| Symbol |
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Simple Moving Average indicator is calculated by adding the closing price of Kawasaki Kisen for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Kawasaki Kisen Kaisha short-term fluctuations and highlight longer-term trends or cycles.
Kawasaki Kisen Technical Analysis Modules
Most technical analysis of Kawasaki Kisen 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 Kawasaki from various momentum indicators to cycle indicators. When you analyze Kawasaki 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 Kawasaki Kisen 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 Kawasaki Kisen Kaisha. We use our internally-developed statistical techniques to arrive at the intrinsic value of Kawasaki Kisen Kaisha based on widely used predictive technical indicators. In general, we focus on analyzing Kawasaki Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Kawasaki Kisen's daily price indicators and compare them against related drivers, such as overlap studies 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 Kawasaki Kisen's intrinsic value. In addition to deriving basic predictive indicators for Kawasaki Kisen, we also check how macroeconomic factors affect Kawasaki Kisen 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 Volatility Analysis Now
Volatility AnalysisGet historical volatility and risk analysis based on latest market data |
| All Next | Launch Module |
Kawasaki Kisen Kaisha 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 Kawasaki Kisen 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 Kawasaki Kisen will appreciate offsetting losses from the drop in the long position's value.Kawasaki Kisen Pair Trading
Kawasaki Kisen Kaisha Pair Trading Analysis
The ability to find closely correlated positions to Kawasaki Kisen could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kawasaki Kisen 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 Kawasaki Kisen - 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 Kawasaki Kisen Kaisha to buy it.
The correlation of Kawasaki Kisen 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 Kawasaki Kisen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kawasaki Kisen Kaisha 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 Kawasaki Kisen 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 Kawasaki Pink Sheet Analysis
When running Kawasaki Kisen's price analysis, check to measure Kawasaki Kisen'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 Kawasaki Kisen is operating at the current time. Most of Kawasaki Kisen's value examination focuses on studying past and present price action to predict the probability of Kawasaki Kisen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kawasaki Kisen's price. Additionally, you may evaluate how the addition of Kawasaki Kisen to your portfolios can decrease your overall portfolio volatility.