Oppenheimer Flexible Strategies Fund Technical Analysis
| QOPCX Fund | USD 21.43 0.03 0.14% |
As of the 24th of April, Oppenheimer Flexible holds the Standard Deviation of 0.1392, risk adjusted performance of 0.1421, and Downside Deviation of 0.1273. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oppenheimer Flexible, as well as the relationship between them. Put it differently, you can use this information to find out if the fund will indeed mirror its model of past market data, or the prices will eventually revert. We were able to break down eighteen technical drivers for Oppenheimer Flexible, which can be compared to its competitors. Please check Oppenheimer Flexible information ratio and downside variance to decide if Oppenheimer Flexible is priced some-what accurately, providing market reflects its current price of 21.43 per share.
Oppenheimer Flexible Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Oppenheimer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OppenheimerOppenheimer |
Oppenheimer Flexible technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Oppenheimer Flexible Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Oppenheimer Flexible volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oppenheimer Flexible Trend Analysis
Use this graph to draw trend lines for Oppenheimer Flexible Strategies. You can use it to identify possible trend reversals for Oppenheimer Flexible as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Oppenheimer Flexible price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oppenheimer Flexible Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oppenheimer Flexible Strategies applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Oppenheimer Flexible Strategies will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.35, which is the sum of squared deviations for the predicted Oppenheimer Flexible price change compared to its average price change.About Oppenheimer Flexible Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Oppenheimer Flexible Strategies on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Oppenheimer Flexible Strategies based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oppenheimer Flexible price pattern first instead of the macroeconomic environment surrounding Oppenheimer Flexible. By analyzing Oppenheimer Flexible's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Oppenheimer Flexible's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Oppenheimer Flexible specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oppenheimer Flexible April 24, 2024 Technical Indicators
Most technical analysis of Oppenheimer 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
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| Volume Indicators |
| Risk Adjusted Performance | 0.1421 | |||
| Market Risk Adjusted Performance | 0.1709 | |||
| Mean Deviation | 0.1107 | |||
| Downside Deviation | 0.1273 | |||
| Coefficient Of Variation | 352.52 | |||
| Standard Deviation | 0.1392 | |||
| Variance | 0.0194 | |||
| Information Ratio | (0.40) | |||
| Jensen Alpha | 0.0139 | |||
| Total Risk Alpha | 0.0104 | |||
| Sortino Ratio | (0.44) | |||
| Treynor Ratio | 0.1609 | |||
| Maximum Drawdown | 0.6137 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.2872 | |||
| Downside Variance | 0.0162 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.15) | |||
| Skewness | 0.2782 | |||
| Kurtosis | (0.08) |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oppenheimer Flexible Strategies. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Oppenheimer Flexible information on this page should be used as a complementary analysis to other Oppenheimer Flexible's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.