Oppenheimer Gbl Alloc Fund Price on October 25, 3124
QVGIX Fund | USD 19.37 0.11 0.57% |
Below is the normalized historical share price chart for Oppenheimer Gbl Alloc extending back to February 08, 1993. 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 Gbl stands at 19.37, as last reported on the 22nd of December, with the highest price reaching 19.37 and the lowest price hitting 19.37 during the day.
If you're considering investing in Oppenheimer Mutual Fund, it is important to understand the factors that can impact its price. Oppenheimer Gbl Alloc maintains Sharpe Ratio (i.e., Efficiency) of -0.0892, which implies the entity had a -0.0892% return per unit of risk over the last 3 months. Oppenheimer Gbl Alloc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer Gbl's Risk Adjusted Performance of (0.08), coefficient of variation of (1,133), and Variance of 0.2427 to confirm the risk estimate we provide.
Oppenheimer Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Oppenheimer |
Sharpe Ratio = -0.0892
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Estimated Market Risk
0.5 actual daily | 4 96% of assets are more volatile |
Expected Return
-0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.09 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Oppenheimer Gbl is not performing at its full potential. However, 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 Gbl by adding Oppenheimer Gbl 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 Gbl Mutual Fund history
Oppenheimer Gbl 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 Gbl Alloc 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 Gbl stock prices may prove useful in developing a viable investing in Oppenheimer Gbl
The fund allocates its assets among equity securities, fixed-income securities, and various other types of investments, including ETFs, from all over the world. Generally, there are no geographic restrictions on where the fund may invest and no restrictions on the amount of the funds assets that can be invested in either U.S. or foreign securities, including securities of issuers in developing and emerging markets. The fund may invest in debt securities of any kind and of varying duration and maturities. It may invest in below-investment-grade debt securities, including distressed securities.
Oppenheimer Gbl Mutual Fund Technical Analysis
Oppenheimer Gbl 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 Gbl Period Price Range
Low | December 22, 2024
| High |
0.00 | 0.00 |
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Oppenheimer Gbl December 22, 2024 Market Strength
Market strength indicators help investors to evaluate how Oppenheimer Gbl 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 Gbl shares will generate the highest return on investment. By undertsting and applying Oppenheimer Gbl mutual fund market strength indicators, traders can identify Oppenheimer Gbl Alloc entry and exit signals to maximize returns
Oppenheimer Gbl Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Oppenheimer Gbl'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 | (0.08) | |||
Jensen Alpha | (0.06) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | (0.13) |
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Math Operators | ||
Math Transform | ||
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Gbl 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 Gbl security.
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |