Oppenheimer Rochester Ltdterm Fund Statistic Functions Beta
| LTNCX Fund | USD 2.80 0.01 0.36% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Oppenheimer Rochester correlated with the market. If Beta is less than 0 Oppenheimer Rochester generally moves in the opposite direction as compared to the market. If Oppenheimer Rochester Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Oppenheimer Rochester is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Oppenheimer Rochester is generally in the same direction as the market. If Beta > 1 Oppenheimer Rochester moves generally in the same direction as, but more than the movement of the benchmark.
Oppenheimer Rochester Technical Analysis Modules
Most technical analysis of Oppenheimer Rochester 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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| Volume Indicators |
About Oppenheimer Rochester 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 Rochester Ltdterm. We use our internally-developed statistical techniques to arrive at the intrinsic value of Oppenheimer Rochester Ltdterm 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 Rochester'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 Rochester's intrinsic value. In addition to deriving basic predictive indicators for Oppenheimer Rochester, we also check how macroeconomic factors affect Oppenheimer Rochester 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 Oppenheimer Rochester'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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Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Rochester 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 Rochester security.
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