Oppenheimer Flexible Strategies Fund Price on May 22, 3024
QOPYX Fund | USD 26.37 0.01 0.04% |
Below is the normalized historical share price chart for Oppenheimer Flexible Strategies extending back to March 04, 1998. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Oppenheimer Flexible stands at 26.37, as last reported on the 2nd of December, with the highest price reaching 26.37 and the lowest price hitting 26.37 during the day.
If you're considering investing in Oppenheimer Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Oppenheimer Mutual Fund to be out of control. Oppenheimer Flexible 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 Flexible, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Flexible's Coefficient Of Variation of 764.53, semi deviation of 0.0441, and Risk Adjusted Performance of 0.0692 to confirm if the risk estimate we provide is consistent with the expected return of 0.0289%.
Oppenheimer Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Oppenheimer |
Sharpe Ratio = 0.158
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Estimated Market Risk
0.18 actual daily | 1 99% of assets are more volatile |
Expected Return
0.03 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
0.16 actual daily | 12 88% of assets perform better |
Based on monthly moving average Oppenheimer Flexible is performing at about 12% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Oppenheimer Flexible by adding it to a well-diversified portfolio.
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.
About Oppenheimer Flexible Mutual Fund history
Oppenheimer Flexible investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Oppenheimer is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Oppenheimer Flexible will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Oppenheimer Flexible stock prices may prove useful in developing a viable investing in Oppenheimer Flexible
The funds Adviser exercises a flexible strategy in selecting its investments. The flexibility of the funds overall strategy derives from its use of multiple alternative investment strategies to build a portfolio that seeks total return over the long term by investing in instruments believed to have strong risk-adjusted return potential across asset classes.
Oppenheimer Flexible Mutual Fund Technical Analysis
Oppenheimer Flexible 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.
Price Boundaries
Oppenheimer Flexible Period Price Range
Low | December 2, 2024
| High |
0.00 | 0.00 |
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Oppenheimer Flexible December 2, 2024 Market Strength
Market strength indicators help investors to evaluate how Oppenheimer Flexible mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Oppenheimer Flexible shares will generate the highest return on investment. By undertsting and applying Oppenheimer Flexible mutual fund market strength indicators, traders can identify Oppenheimer Flexible Strategies entry and exit signals to maximize returns
Oppenheimer Flexible Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Oppenheimer Flexible's price direction in advance. Along with the technical and fundamental analysis of Oppenheimer Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Oppenheimer to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.0692 | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (0.62) | |||
Treynor Ratio | 0.0718 |
Cycle Indicators | ||
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Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Flexible 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 Flexible security.
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |