Oppenheimer Flexible Strategies Fund Statistic Functions Beta
| QOPNX Fund | USD 23.84 0.07 0.29% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Oppenheimer Flexible correlated with the market. If Beta is less than 0 Oppenheimer Flexible generally moves in the opposite direction as compared to the market. If Oppenheimer Flexible Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Oppenheimer Flexible is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Oppenheimer Flexible is generally in the same direction as the market. If Beta > 1 Oppenheimer Flexible moves generally in the same direction as, but more than the movement of the benchmark.
Oppenheimer Flexible Technical Analysis Modules
Most technical analysis of Oppenheimer Flexible 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 | ||
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| Overlap Studies | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Oppenheimer Flexible 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 Flexible Strategies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Oppenheimer Flexible Strategies 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 Flexible'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 Oppenheimer Flexible's intrinsic value. In addition to deriving basic predictive indicators for Oppenheimer Flexible, we also check how macroeconomic factors affect Oppenheimer Flexible price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Oppenheimer Flexible in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Oppenheimer Flexible's short interest history, or implied volatility extrapolated from Oppenheimer Flexible options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Business Services Invested few shares | |
 | Artificial Intelligence Invested few shares | |
 | Hedge Favorites Invested few shares | |
 | Video Games Invested few shares | |
 | Macroaxis Index Invested few shares | |
 | Social Domain Invested few shares | |
 | SRI Sustainable Growth Invested over 40 shares | |
 | Apparel Invested over 40 shares | |
 | Casinos Sold over 90 shares | |
 | Basic Utilities Invested over 90 shares | |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Flexible 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 Flexible security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years |