Oppenheimer Roc Ca Fund Technical Analysis
| OCACX Fund | USD 7.93 0.01 0.13% |
As of the 25th of February, Oppenheimer Roc holds the Risk Adjusted Performance of 0.0776, downside deviation of 0.2681, and Standard Deviation of 0.1277. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oppenheimer Roc, as well as the relationship between them.
Oppenheimer Roc 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 Roc '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 Roc'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 Roc.
| 11/27/2025 |
| 02/25/2026 |
If you would invest 0.00 in Oppenheimer Roc on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Roc Ca or generate 0.0% return on investment in Oppenheimer Roc over 90 days. Oppenheimer Roc is related to or competes with Invesco Municipal, Invesco Municipal, Invesco Municipal, Oppenheimer Rising, Invesco High, Oppenheimer Strategic, and Oppenheimer International. Under normal market conditions, and as a fundamental policy, the fund invests at least 80 percent of its net assets in s... More
Oppenheimer Roc 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 Roc'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 Roc Ca upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2681 | |||
| Information Ratio | (0.62) | |||
| Maximum Drawdown | 0.893 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.2551 |
Oppenheimer Roc Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Roc's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Roc's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Roc historical prices to predict the future Oppenheimer Roc's volatility.| Risk Adjusted Performance | 0.0776 | |||
| Jensen Alpha | 0.0126 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.30) | |||
| Treynor Ratio | (0.76) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Roc'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.
Oppenheimer Roc February 25, 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 | 0.0776 | |||
| Market Risk Adjusted Performance | (0.75) | |||
| Mean Deviation | 0.0805 | |||
| Downside Deviation | 0.2681 | |||
| Coefficient Of Variation | 601.01 | |||
| Standard Deviation | 0.1277 | |||
| Variance | 0.0163 | |||
| Information Ratio | (0.62) | |||
| Jensen Alpha | 0.0126 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.30) | |||
| Treynor Ratio | (0.76) | |||
| Maximum Drawdown | 0.893 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.2551 | |||
| Downside Variance | 0.0719 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.16) | |||
| Skewness | (1.00) | |||
| Kurtosis | 5.54 |
Oppenheimer Roc Ca Backtested Returns
At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Roc Ca maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the entity had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Roc Ca, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Roc's Risk Adjusted Performance of 0.0776, standard deviation of 0.1277, and Downside Deviation of 0.2681 to confirm if the risk estimate we provide is consistent with the expected return of 0.0194%. The fund holds a Beta of -0.0148, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Oppenheimer Roc are expected to decrease at a much lower rate. During the bear market, Oppenheimer Roc is likely to outperform the market.
Auto-correlation | 0.70 |
Good predictability
Oppenheimer Roc Ca has good predictability. Overlapping area represents the amount of predictability between Oppenheimer Roc time series from 27th of November 2025 to 11th of January 2026 and 11th of January 2026 to 25th of February 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 Roc Ca price movement. The serial correlation of 0.7 indicates that around 70.0% of current Oppenheimer Roc price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oppenheimer Roc 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 Roc Ca Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Oppenheimer Roc Ca across different markets.
About Oppenheimer Roc 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 Roc Ca 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 Roc Ca based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oppenheimer Roc Ca price pattern first instead of the macroeconomic environment surrounding Oppenheimer Roc Ca. By analyzing Oppenheimer Roc'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 Roc'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 Roc specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oppenheimer Roc February 25, 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 | 0.0776 | |||
| Market Risk Adjusted Performance | (0.75) | |||
| Mean Deviation | 0.0805 | |||
| Downside Deviation | 0.2681 | |||
| Coefficient Of Variation | 601.01 | |||
| Standard Deviation | 0.1277 | |||
| Variance | 0.0163 | |||
| Information Ratio | (0.62) | |||
| Jensen Alpha | 0.0126 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.30) | |||
| Treynor Ratio | (0.76) | |||
| Maximum Drawdown | 0.893 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.2551 | |||
| Downside Variance | 0.0719 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.16) | |||
| Skewness | (1.00) | |||
| Kurtosis | 5.54 |
Oppenheimer Roc February 25, 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 | 7.93 | ||
| Day Typical Price | 7.93 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Roc 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 Roc security.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |