Oppenheimer Aggrssv Invstr Fund Technical Analysis
| OAAIX Fund | USD 16.22 0.07 0.43% |
As of the 24th of January, Oppenheimer Aggrssv holds the Semi Deviation of 0.63, risk adjusted performance of 0.1235, and Coefficient Of Variation of 604.35. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oppenheimer Aggrssv, as well as the relationship between them.
Oppenheimer Aggrssv 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 Aggrssv 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Oppenheimer Aggrssv's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Oppenheimer Aggrssv.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Oppenheimer Aggrssv on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Aggrssv Invstr or generate 0.0% return on investment in Oppenheimer Aggrssv over 90 days. Oppenheimer Aggrssv is related to or competes with Hennessy Technology, Mfs Technology, Fidelity Advisor, Ivy Science, Biotechnology Ultrasector, Pgim Jennison, and Columbia Global. The fund is a fund of funds, and invests its assets in other underlying mutual funds advised by the Adviser and exchange... More
Oppenheimer Aggrssv Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Oppenheimer Aggrssv's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Oppenheimer Aggrssv Invstr upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8044 | |||
| Information Ratio | 0.0839 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.39 |
Oppenheimer Aggrssv Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Aggrssv's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Aggrssv's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Aggrssv historical prices to predict the future Oppenheimer Aggrssv's volatility.| Risk Adjusted Performance | 0.1235 | |||
| Jensen Alpha | 0.133 | |||
| Total Risk Alpha | 0.0592 | |||
| Sortino Ratio | 0.1001 | |||
| Treynor Ratio | 0.6416 |
Oppenheimer Aggrssv January 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1235 | |||
| Market Risk Adjusted Performance | 0.6516 | |||
| Mean Deviation | 0.646 | |||
| Semi Deviation | 0.63 | |||
| Downside Deviation | 0.8044 | |||
| Coefficient Of Variation | 604.35 | |||
| Standard Deviation | 0.96 | |||
| Variance | 0.9216 | |||
| Information Ratio | 0.0839 | |||
| Jensen Alpha | 0.133 | |||
| Total Risk Alpha | 0.0592 | |||
| Sortino Ratio | 0.1001 | |||
| Treynor Ratio | 0.6416 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.39 | |||
| Downside Variance | 0.647 | |||
| Semi Variance | 0.3969 | |||
| Expected Short fall | (0.73) | |||
| Skewness | 1.79 | |||
| Kurtosis | 9.49 |
Oppenheimer Aggrssv Backtested Returns
At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Aggrssv maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the entity had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Aggrssv, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Aggrssv's Semi Deviation of 0.63, risk adjusted performance of 0.1235, and Coefficient Of Variation of 604.35 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The fund holds a Beta of 0.23, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Aggrssv's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Aggrssv is expected to be smaller as well.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Oppenheimer Aggrssv Invstr has insignificant reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Aggrssv time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oppenheimer Aggrssv price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Oppenheimer Aggrssv price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Oppenheimer Aggrssv 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 Aggrssv Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Aggrssv volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Oppenheimer Aggrssv 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 Aggrssv Invstr 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 Aggrssv Invstr based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oppenheimer Aggrssv price pattern first instead of the macroeconomic environment surrounding Oppenheimer Aggrssv. By analyzing Oppenheimer Aggrssv'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 Aggrssv'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 Aggrssv specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oppenheimer Aggrssv January 24, 2026 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 | 0.1235 | |||
| Market Risk Adjusted Performance | 0.6516 | |||
| Mean Deviation | 0.646 | |||
| Semi Deviation | 0.63 | |||
| Downside Deviation | 0.8044 | |||
| Coefficient Of Variation | 604.35 | |||
| Standard Deviation | 0.96 | |||
| Variance | 0.9216 | |||
| Information Ratio | 0.0839 | |||
| Jensen Alpha | 0.133 | |||
| Total Risk Alpha | 0.0592 | |||
| Sortino Ratio | 0.1001 | |||
| Treynor Ratio | 0.6416 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.39 | |||
| Downside Variance | 0.647 | |||
| Semi Variance | 0.3969 | |||
| Expected Short fall | (0.73) | |||
| Skewness | 1.79 | |||
| Kurtosis | 9.49 |
Oppenheimer Aggrssv January 24, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Oppenheimer stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 16.22 | ||
| Day Typical Price | 16.22 | ||
| Price Action Indicator | 0.04 |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Aggrssv 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 Aggrssv security.
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