Ophmr Eml Mutual Fund Forecast - Naive Prediction

OEMIX Fund  USD 5.72  0.01  0.18%   
Ophmr Mutual Fund outlook is based on your current time horizon.
The relative strength index (RSI) of Ophmr Eml'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 Ophmr, making its price go up or down.

Momentum 77

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Ophmr Eml's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Ophmr Eml Dbt, which may create opportunities for some arbitrage if properly timed.
Using Ophmr Eml hype-based prediction, you can estimate the value of Ophmr Eml Dbt from the perspective of Ophmr Eml response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Ophmr Eml Dbt on the next trading day is expected to be 5.74 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.11.

Ophmr Eml after-hype prediction price

    
  USD 5.71  
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.
  
Check out Historical Fundamental Analysis of Ophmr Eml to cross-verify your projections.

Ophmr Eml Additional Predictive Modules

Most predictive techniques to examine Ophmr price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ophmr using various technical indicators. When you analyze Ophmr 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.
A naive forecasting model for Ophmr Eml is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Ophmr Eml Dbt value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Ophmr Eml Naive Prediction Price Forecast For the 29th of January

Given 90 days horizon, the Naive Prediction forecasted value of Ophmr Eml Dbt on the next trading day is expected to be 5.74 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 1.11.
Please note that although there have been many attempts to predict Ophmr Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ophmr Eml's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ophmr Eml Mutual Fund Forecast Pattern

Backtest Ophmr Eml  Ophmr Eml Price Prediction  Buy or Sell Advice  

Ophmr Eml Forecasted Value

In the context of forecasting Ophmr Eml'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. Ophmr Eml's downside and upside margins for the forecasting period are 5.43 and 6.06, respectively. We have considered Ophmr Eml'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.
Market Value
5.72
5.74
Expected Value
6.06
Upside

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 Ophmr Eml mutual fund data series using in forecasting. Note that when a statistical model is used to represent Ophmr Eml 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.
AICAkaike Information Criteria110.5392
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0183
MAPEMean absolute percentage error0.0033
SAESum of the absolute errors1.1149
This model is not at all useful as a medium-long range forecasting tool of Ophmr Eml Dbt. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Ophmr Eml. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Ophmr Eml

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ophmr Eml Dbt. 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.
Hype
Prediction
LowEstimatedHigh
5.395.716.03
Details
Intrinsic
Valuation
LowRealHigh
4.955.276.28
Details

Ophmr Eml After-Hype Price Density Analysis

As far as predicting the price of Ophmr Eml 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 Ophmr Eml 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 Ophmr Eml, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Ophmr Eml Estimiated After-Hype Price Volatility

In the context of predicting Ophmr Eml's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ophmr Eml's historical news coverage. Ophmr Eml's after-hype downside and upside margins for the prediction period are 5.39 and 6.03, respectively. We have considered Ophmr Eml'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
5.72
5.71
After-hype Price
6.03
Upside
Ophmr Eml is very steady at this time. Analysis and calculation of next after-hype price of Ophmr Eml Dbt is based on 3 months time horizon.

Ophmr Eml Mutual Fund Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as Ophmr Eml is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ophmr Eml 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 Ophmr Eml, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.11 
0.31
 0.00  
  0.01 
1 Events / Month
1 Events / Month
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
5.72
5.71
0.00 
3,100  
Notes

Ophmr Eml Hype Timeline

Ophmr Eml Dbt is now traded for 5.72. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. Ophmr is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at 0.11%. %. The volatility of related hype on Ophmr Eml is about 409.43%, with the expected price after the next announcement by competition of 5.71. Assuming the 90 days horizon the next forecasted press release will be very soon.
Check out Historical Fundamental Analysis of Ophmr Eml to cross-verify your projections.

Ophmr Eml Related Hype Analysis

Having access to credible news sources related to Ophmr Eml's direct competition is more important than ever and may enhance your ability to predict Ophmr Eml's future price movements. Getting to know how Ophmr Eml'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 Ophmr Eml may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Ophmr Eml

For every potential investor in Ophmr, whether a beginner or expert, Ophmr Eml's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ophmr Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ophmr. Basic forecasting techniques help filter out the noise by identifying Ophmr Eml's price trends.

Ophmr Eml 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 Ophmr Eml mutual fund to make a market-neutral strategy. Peer analysis of Ophmr Eml could also be used in its relative valuation, which is a method of valuing Ophmr Eml by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Ophmr Eml Market Strength Events

Market strength indicators help investors to evaluate how Ophmr Eml 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 Ophmr Eml shares will generate the highest return on investment. By undertsting and applying Ophmr Eml mutual fund market strength indicators, traders can identify Ophmr Eml Dbt entry and exit signals to maximize returns.

Ophmr Eml Risk Indicators

The analysis of Ophmr Eml'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 Ophmr Eml's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ophmr 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.
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 Ophmr Eml

The number of cover stories for Ophmr Eml depends on current market conditions and Ophmr Eml's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ophmr Eml 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 Ophmr Eml'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 Ophmr Mutual Fund

Ophmr Eml financial ratios help investors to determine whether Ophmr 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 Ophmr with respect to the benefits of owning Ophmr Eml security.
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