Oppenheimer Target Fund Technical Analysis
OTFCX Fund | USD 44.26 0.41 0.92% |
As of the 29th of November, Oppenheimer Target holds the Coefficient Of Variation of 876.69, risk adjusted performance of 0.0905, and Semi Deviation of 1.09. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oppenheimer Target, as well as the relationship between them.
Oppenheimer Target 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 Target 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 Target Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Target volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oppenheimer Target Trend Analysis
Use this graph to draw trend lines for Oppenheimer Target. You can use it to identify possible trend reversals for Oppenheimer Target 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 Target price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Oppenheimer Target Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Oppenheimer Target applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Oppenheimer Target will continue generating value for investors. It has 122 observation points and a regression sum of squares at 231.36, which is the sum of squared deviations for the predicted Oppenheimer Target price change compared to its average price change.About Oppenheimer Target 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 Target 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 Target based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oppenheimer Target price pattern first instead of the macroeconomic environment surrounding Oppenheimer Target. By analyzing Oppenheimer Target'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 Target'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 Target specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oppenheimer Target November 29, 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.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.0905 | |||
Market Risk Adjusted Performance | 0.1302 | |||
Mean Deviation | 0.766 | |||
Semi Deviation | 1.09 | |||
Downside Deviation | 1.25 | |||
Coefficient Of Variation | 876.69 | |||
Standard Deviation | 1.1 | |||
Variance | 1.21 | |||
Information Ratio | 3.0E-4 | |||
Jensen Alpha | 0.0047 | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | 3.0E-4 | |||
Treynor Ratio | 0.1202 | |||
Maximum Drawdown | 5.31 | |||
Value At Risk | (2.10) | |||
Potential Upside | 1.62 | |||
Downside Variance | 1.57 | |||
Semi Variance | 1.18 | |||
Expected Short fall | (0.77) | |||
Skewness | (0.64) | |||
Kurtosis | 1.96 |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Target 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 Target security.
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