Oppenheimer Rchstr Shrt Fund Technical Analysis
| ORSTX Fund | USD 3.73 0.00 0.00% |
As of the 25th of February, Oppenheimer Rchstr holds the Coefficient Of Variation of 600.91, risk adjusted performance of 0.0336, and Variance of 0.0054. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Oppenheimer Rchstr, as well as the relationship between them.
Oppenheimer Rchstr 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 Rchstr '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 Rchstr'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 Rchstr.
| 11/27/2025 |
| 02/25/2026 |
If you would invest 0.00 in Oppenheimer Rchstr on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Rchstr Shrt or generate 0.0% return on investment in Oppenheimer Rchstr over 90 days. Oppenheimer Rchstr is related to or competes with Stet Intermediate, Fidelity Sai, Fidelity Advisor, Dreyfus Institutional, Federated Mdt, Fidelity Advisor, and Nationwide Geneva. The fund invests at least 80 percent of its net assets in securities the income from which, in the opinion of counsel to... More
Oppenheimer Rchstr 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 Rchstr'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 Rchstr Shrt upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.20) | |||
| Maximum Drawdown | 0.5391 | |||
| Potential Upside | 0.2688 |
Oppenheimer Rchstr Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Rchstr's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Rchstr's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Rchstr historical prices to predict the future Oppenheimer Rchstr's volatility.| Risk Adjusted Performance | 0.0336 | |||
| Jensen Alpha | 0.0017 | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 0.3902 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Rchstr'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 Rchstr 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 | 0.0336 | |||
| Market Risk Adjusted Performance | 0.4002 | |||
| Mean Deviation | 0.0312 | |||
| Coefficient Of Variation | 600.91 | |||
| Standard Deviation | 0.0737 | |||
| Variance | 0.0054 | |||
| Information Ratio | (1.20) | |||
| Jensen Alpha | 0.0017 | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 0.3902 | |||
| Maximum Drawdown | 0.5391 | |||
| Potential Upside | 0.2688 | |||
| Skewness | 1.82 | |||
| Kurtosis | 10.46 |
Oppenheimer Rchstr Shrt Backtested Returns
At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Rchstr Shrt maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the entity had a 0.18 % return per unit of risk over the last 3 months. We have found eighteen technical indicators for Oppenheimer Rchstr Shrt, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Rchstr's Variance of 0.0054, risk adjusted performance of 0.0336, and Coefficient Of Variation of 600.91 to confirm if the risk estimate we provide is consistent with the expected return of 0.0137%. The fund holds a Beta of 0.0058, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Rchstr's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Rchstr is expected to be smaller as well.
Auto-correlation | 0.48 |
Average predictability
Oppenheimer Rchstr Shrt has average predictability. Overlapping area represents the amount of predictability between Oppenheimer Rchstr 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 Rchstr Shrt price movement. The serial correlation of 0.48 indicates that about 48.0% of current Oppenheimer Rchstr price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.97 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oppenheimer Rchstr 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 Rchstr Shrt 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 Rchstr Shrt across different markets.
About Oppenheimer Rchstr 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 Rchstr Shrt 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 Rchstr Shrt based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Oppenheimer Rchstr Shrt price pattern first instead of the macroeconomic environment surrounding Oppenheimer Rchstr Shrt. By analyzing Oppenheimer Rchstr'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 Rchstr'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 Rchstr specific price patterns or momentum indicators. Please read more on our technical analysis page.
Oppenheimer Rchstr 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 | 0.0336 | |||
| Market Risk Adjusted Performance | 0.4002 | |||
| Mean Deviation | 0.0312 | |||
| Coefficient Of Variation | 600.91 | |||
| Standard Deviation | 0.0737 | |||
| Variance | 0.0054 | |||
| Information Ratio | (1.20) | |||
| Jensen Alpha | 0.0017 | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 0.3902 | |||
| Maximum Drawdown | 0.5391 | |||
| Potential Upside | 0.2688 | |||
| Skewness | 1.82 | |||
| Kurtosis | 10.46 |
Oppenheimer Rchstr 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 3.73 | ||
| Day Typical Price | 3.73 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Rchstr 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 Rchstr security.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |