Oppenheimer Gbl Alloc Fund Math Transform Inverse Tangent Over Price Movement
| QGRNX Fund | USD 19.15 0.02 0.10% |
| Symbol |
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Oppenheimer Gbl Alloc Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Oppenheimer Gbl price patterns.
Oppenheimer Gbl Technical Analysis Modules
Most technical analysis of Oppenheimer Gbl 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 Oppenheimer from various momentum indicators to cycle indicators. When you analyze Oppenheimer 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 Oppenheimer Gbl 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 Oppenheimer Gbl Alloc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Oppenheimer Gbl Alloc based on widely used predictive technical indicators. In general, we focus on analyzing Oppenheimer Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Oppenheimer Gbl's daily price indicators and compare them against related drivers, such as math transform 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 Oppenheimer Gbl's intrinsic value. In addition to deriving basic predictive indicators for Oppenheimer Gbl, we also check how macroeconomic factors affect Oppenheimer Gbl 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 Stocks Directory Now
Stocks DirectoryFind actively traded stocks across global markets |
| All Next | Launch Module |
Oppenheimer Gbl Alloc 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 Oppenheimer Gbl 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 Oppenheimer Gbl will appreciate offsetting losses from the drop in the long position's value.Oppenheimer Gbl Pair Trading
Oppenheimer Gbl Alloc Pair Trading Analysis
The ability to find closely correlated positions to Oppenheimer Gbl could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oppenheimer Gbl 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 Oppenheimer Gbl - 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 Oppenheimer Gbl Alloc to buy it.
The correlation of Oppenheimer Gbl 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 Oppenheimer Gbl moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oppenheimer Gbl Alloc 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 Oppenheimer Gbl 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.Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Gbl financial ratios help investors to determine whether Oppenheimer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oppenheimer with respect to the benefits of owning Oppenheimer Gbl security.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |