Oppenheimer Main Mutual Fund Forecast - Accumulation Distribution
| OMGNX Fund | USD 60.54 0.33 0.55% |
Oppenheimer Mutual Fund Forecast is based on your current time horizon.
Oppenheimer |
| Check Oppenheimer Main Volatility | Backtest Oppenheimer Main | Trend Details |
Oppenheimer Main Trading Date Momentum
| On November 12 2024 Oppenheimer Main Street was traded for 60.37 at the closing time. The highest daily price throughout the period was 60.37 and the lowest price was 60.37 . There was no trading activity during the period 1.0. Lack of trading volume on 11/12/2024 added to the next day price reduction. The trading delta at closing time to closing price of the next trading day was 0.15% . The trading delta at closing time to current closing price is 1.95% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
| Compare Oppenheimer Main to competition |
Other Forecasting Options for Oppenheimer Main
For every potential investor in Oppenheimer, whether a beginner or expert, Oppenheimer Main's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Oppenheimer Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Oppenheimer. Basic forecasting techniques help filter out the noise by identifying Oppenheimer Main's price trends.Oppenheimer Main Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Oppenheimer Main mutual fund to make a market-neutral strategy. Peer analysis of Oppenheimer Main could also be used in its relative valuation, which is a method of valuing Oppenheimer Main by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Oppenheimer Main Street Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Oppenheimer Main's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Oppenheimer Main's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Oppenheimer Main Market Strength Events
Market strength indicators help investors to evaluate how Oppenheimer Main 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 Main shares will generate the highest return on investment. By undertsting and applying Oppenheimer Main mutual fund market strength indicators, traders can identify Oppenheimer Main Street entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 60.54 | |||
| Day Typical Price | 60.54 | |||
| Price Action Indicator | 0.16 | |||
| Period Momentum Indicator | 0.33 | |||
| Relative Strength Index | 62.69 |
Oppenheimer Main Risk Indicators
The analysis of Oppenheimer Main's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Oppenheimer Main's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oppenheimer mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.5615 | |||
| Semi Deviation | 0.7125 | |||
| Standard Deviation | 0.7935 | |||
| Variance | 0.6297 | |||
| Downside Variance | 0.8057 | |||
| Semi Variance | 0.5077 | |||
| Expected Short fall | (0.57) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |