Oppenheimer Main Street Fund Market Value
| OSSIX Fund | USD 24.45 0.03 0.12% |
| Symbol | Oppenheimer |
Oppenheimer Main '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 Main'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 Main.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Oppenheimer Main on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Main Street or generate 0.0% return on investment in Oppenheimer Main over 90 days. Oppenheimer Main is related to or competes with Segall Bryant, Goldman Sachs, Legg Mason, Franklin Federal, Aqr Sustainable, and Angel Oak. The fund normally invests at least 80 percent of its net assets, including any borrowings for investment purposes, in se... More
Oppenheimer Main 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 Main'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 Main Street upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9558 | |||
| Information Ratio | 0.1407 | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 2.01 |
Oppenheimer Main Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Main's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Main's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Main historical prices to predict the future Oppenheimer Main's volatility.| Risk Adjusted Performance | 0.1618 | |||
| Jensen Alpha | 0.1697 | |||
| Total Risk Alpha | 0.1135 | |||
| Sortino Ratio | 0.2135 | |||
| Treynor Ratio | 0.2183 |
Oppenheimer Main January 23, 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 | 0.1618 | |||
| Market Risk Adjusted Performance | 0.2283 | |||
| Mean Deviation | 0.8894 | |||
| Semi Deviation | 0.6176 | |||
| Downside Deviation | 0.9558 | |||
| Coefficient Of Variation | 470.59 | |||
| Standard Deviation | 1.45 | |||
| Variance | 2.1 | |||
| Information Ratio | 0.1407 | |||
| Jensen Alpha | 0.1697 | |||
| Total Risk Alpha | 0.1135 | |||
| Sortino Ratio | 0.2135 | |||
| Treynor Ratio | 0.2183 | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 2.01 | |||
| Downside Variance | 0.9135 | |||
| Semi Variance | 0.3814 | |||
| Expected Short fall | (1.09) | |||
| Skewness | 3.11 | |||
| Kurtosis | 17.56 |
Oppenheimer Main Street Backtested Returns
Oppenheimer Main appears to be very steady, given 3 months investment horizon. Oppenheimer Main Street maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the entity had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Oppenheimer Main Street, which you can use to evaluate the volatility of the fund. Please evaluate Oppenheimer Main's Risk Adjusted Performance of 0.1618, semi deviation of 0.6176, and Coefficient Of Variation of 470.59 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of 1.37, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Oppenheimer Main will likely underperform.
Auto-correlation | 0.55 |
Modest predictability
Oppenheimer Main Street has modest predictability. Overlapping area represents the amount of predictability between Oppenheimer Main time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd 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 Main Street price movement. The serial correlation of 0.55 indicates that about 55.0% of current Oppenheimer Main price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.49 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Main 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 Main security.
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Transaction History View history of all your transactions and understand their impact on performance |