Oil Equipment Mutual Fund Forward View
| OEPIX Fund | USD 133.02 0.40 0.30% |
OIL Mutual Fund outlook is based on your current time horizon.
The relative strength index (RSI) of Oil Equipment's share price is above 70 at this time. This indicates that the mutual fund is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling OIL, making its price go up or down. Momentum 73
Buy Stretched
Oversold | Overbought |
Using Oil Equipment hype-based prediction, you can estimate the value of Oil Equipment Services from the perspective of Oil Equipment response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Oil Equipment Services on the next trading day is expected to be 139.55 with a mean absolute deviation of 2.32 and the sum of the absolute errors of 141.61. Oil Equipment after-hype prediction price | USD 114.34 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
OIL |
Oil Equipment Additional Predictive Modules
Most predictive techniques to examine OIL price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for OIL using various technical indicators. When you analyze OIL charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Oil Equipment Naive Prediction Price Forecast For the 23rd of February
Given 90 days horizon, the Naive Prediction forecasted value of Oil Equipment Services on the next trading day is expected to be 139.55 with a mean absolute deviation of 2.32, mean absolute percentage error of 7.85, and the sum of the absolute errors of 141.61.Please note that although there have been many attempts to predict OIL Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Oil Equipment's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Oil Equipment Mutual Fund Forecast Pattern
| Backtest Oil Equipment | Oil Equipment Price Prediction | Research Analysis |
Oil Equipment Forecasted Value
In the context of forecasting Oil Equipment's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Oil Equipment's downside and upside margins for the forecasting period are 136.60 and 142.50, respectively. We have considered Oil Equipment's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Oil Equipment mutual fund data series using in forecasting. Note that when a statistical model is used to represent Oil Equipment mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 120.1711 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.3215 |
| MAPE | Mean absolute percentage error | 0.024 |
| SAE | Sum of the absolute errors | 141.6113 |
Predictive Modules for Oil Equipment
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oil Equipment Services. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Oil Equipment After-Hype Price Density Analysis
As far as predicting the price of Oil Equipment at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Oil Equipment or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Oil Equipment, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Oil Equipment Estimiated After-Hype Price Volatility
In the context of predicting Oil Equipment's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Oil Equipment's historical news coverage. Oil Equipment's after-hype downside and upside margins for the prediction period are 111.39 and 146.32, respectively. We have considered Oil Equipment's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Oil Equipment is very steady at this time. Analysis and calculation of next after-hype price of Oil Equipment Services is based on 3 months time horizon.
Oil Equipment Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Oil Equipment is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Oil Equipment backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Oil Equipment, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.88 | 2.95 | 67.46 | 0.00 | 2 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
133.02 | 114.34 | 14.04 |
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Oil Equipment Hype Timeline
Oil Equipment Services is now traded for 133.02. The entity has historical hype elasticity of -67.46, and average elasticity to hype of competition of 0.0. OIL is forecasted to decline in value after the next headline, with the price expected to drop to 114.34. The average volatility of media hype impact on the company price is about 3.85%. The price reduction on the next news is expected to be -14.04%, whereas the daily expected return is now at 0.88%. The volatility of related hype on Oil Equipment is about 88500.0%, with the expected price after the next announcement by competition of 133.02. The company has price-to-book ratio of 1.51. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Oil Equipment Services last dividend was issued on the 28th of December 1970. The entity had 1-10 split on the 18th of November 2019. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Oil Equipment to cross-verify your projections.Oil Equipment Related Hype Analysis
Having access to credible news sources related to Oil Equipment's direct competition is more important than ever and may enhance your ability to predict Oil Equipment's future price movements. Getting to know how Oil Equipment's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Oil Equipment may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VASGX | Vanguard Lifestrategy Growth | 0.01 | 1 per month | 0.43 | 0.03 | 0.91 | (0.94) | 2.75 | |
| SGYAX | Siit High Yield | (0.03) | 8 per month | 0.00 | (0.20) | 0.57 | (0.14) | 0.87 | |
| PHDTX | Pace High Yield | 0.00 | 0 per month | 0.00 | (0.47) | 0.22 | (0.11) | 0.66 | |
| AGDAX | Ab High Income | 0.04 | 2 per month | 0.00 | (0.30) | 0.28 | (0.14) | 0.86 | |
| WAHSX | Western Asset High | 0.00 | 0 per month | 0.00 | (0.24) | 0.29 | (0.14) | 1.00 | |
| CYBAX | Calvert High Yield | 0.00 | 0 per month | 0.00 | (0.39) | 0.20 | (0.12) | 0.76 |
Other Forecasting Options for Oil Equipment
For every potential investor in OIL, whether a beginner or expert, Oil Equipment's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. OIL Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in OIL. Basic forecasting techniques help filter out the noise by identifying Oil Equipment's price trends.Oil Equipment 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 Oil Equipment mutual fund to make a market-neutral strategy. Peer analysis of Oil Equipment could also be used in its relative valuation, which is a method of valuing Oil Equipment by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Oil Equipment Market Strength Events
Market strength indicators help investors to evaluate how Oil Equipment 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 Oil Equipment shares will generate the highest return on investment. By undertsting and applying Oil Equipment mutual fund market strength indicators, traders can identify Oil Equipment Services entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 133.02 | |||
| Day Typical Price | 133.02 | |||
| Price Action Indicator | (0.20) | |||
| Period Momentum Indicator | (0.40) | |||
| Relative Strength Index | 73.79 |
Oil Equipment Risk Indicators
The analysis of Oil Equipment'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 Oil Equipment's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oil 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 | 2.28 | |||
| Semi Deviation | 2.26 | |||
| Standard Deviation | 2.98 | |||
| Variance | 8.85 | |||
| Downside Variance | 7.83 | |||
| Semi Variance | 5.1 | |||
| Expected Short fall | (2.66) |
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.
Story Coverage note for Oil Equipment
The number of cover stories for Oil Equipment depends on current market conditions and Oil Equipment's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Oil Equipment is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Oil Equipment's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Other Information on Investing in OIL Mutual Fund
Oil Equipment financial ratios help investors to determine whether OIL 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 OIL with respect to the benefits of owning Oil Equipment security.
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