ORT (Israel) Overlap Studies Kaufman Adaptive Moving Average
| ORTC Stock | ILS 1,449 19.00 1.33% |
| Symbol |
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Kaufman Adaptive Moving Average allows the user to define ORT range across which they want the smoothing.
ORT Technical Analysis Modules
Most technical analysis of ORT 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 ORT from various momentum indicators to cycle indicators. When you analyze ORT 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 ORT 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 ORT. We use our internally-developed statistical techniques to arrive at the intrinsic value of ORT based on widely used predictive technical indicators. In general, we focus on analyzing ORT Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ORT'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 ORT's intrinsic value. In addition to deriving basic predictive indicators for ORT, we also check how macroeconomic factors affect ORT 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 ORT'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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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?
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ORT 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 ORT 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 ORT will appreciate offsetting losses from the drop in the long position's value.ORT Pair Trading
ORT Pair Trading Analysis
The ability to find closely correlated positions to ORT could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ORT 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 ORT - 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 ORT to buy it.
The correlation of ORT 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 ORT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ORT 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 ORT 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.Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in ORT. 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for ORT Stock analysis
When running ORT's price analysis, check to measure ORT'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 ORT is operating at the current time. Most of ORT's value examination focuses on studying past and present price action to predict the probability of ORT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ORT's price. Additionally, you may evaluate how the addition of ORT to your portfolios can decrease your overall portfolio volatility.
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