Zooz Power Ltd Stock Volatility Indicators Average True Range
| ZOOZW Stock | 0.09 0.03 48.00% |
| Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of ZOOZ Power volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ZOOZ Power Technical Analysis Modules
Most technical analysis of ZOOZ Power 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 ZOOZ from various momentum indicators to cycle indicators. When you analyze ZOOZ 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 ZOOZ Power 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 ZOOZ Power Ltd. We use our internally-developed statistical techniques to arrive at the intrinsic value of ZOOZ Power Ltd based on widely used predictive technical indicators. In general, we focus on analyzing ZOOZ Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ZOOZ Power's daily price indicators and compare them against related drivers, such as volatility indicators 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 ZOOZ Power's intrinsic value. In addition to deriving basic predictive indicators for ZOOZ Power, we also check how macroeconomic factors affect ZOOZ Power price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2010 | 2023 | 2024 (projected) | PB Ratio | 0.0243 | 0.0643 | 0.0354 | Capex To Depreciation | 6.77 | 5.71 | 5.97 |
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 Pair Correlation Now
Pair CorrelationCompare performance and examine fundamental relationship between any two equity instruments |
| All Next | Launch Module |
ZOOZ Power 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 ZOOZ Power 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 ZOOZ Power will appreciate offsetting losses from the drop in the long position's value.ZOOZ Power Pair Trading
ZOOZ Power Ltd Pair Trading Analysis
The ability to find closely correlated positions to ZOOZ Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ZOOZ Power 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 ZOOZ Power - 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 ZOOZ Power Ltd to buy it.
The correlation of ZOOZ Power 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 ZOOZ Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ZOOZ Power 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 ZOOZ Power 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 ZOOZ Stock Analysis
When running ZOOZ Power's price analysis, check to measure ZOOZ Power'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 ZOOZ Power is operating at the current time. Most of ZOOZ Power's value examination focuses on studying past and present price action to predict the probability of ZOOZ Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZOOZ Power's price. Additionally, you may evaluate how the addition of ZOOZ Power to your portfolios can decrease your overall portfolio volatility.