Equity Series Mutual Fund Forecast - Simple Moving Average
| EXEYX Fund | USD 14.59 0.15 1.04% |
The Simple Moving Average forecasted value of Equity Series Class on the next trading day is expected to be 14.59 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.61. Equity Mutual Fund Forecast is based on your current time horizon.
The relative strength index (RSI) of Equity Series' mutual fund price is slightly above 64 suggesting that the mutual fund is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Equity, making its price go up or down. Momentum 64
Buy Extended
Oversold | Overbought |
Using Equity Series hype-based prediction, you can estimate the value of Equity Series Class from the perspective of Equity Series response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Equity Series Class on the next trading day is expected to be 14.59 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.61. Equity Series after-hype prediction price | USD 14.59 |
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.
Equity |
Equity Series Additional Predictive Modules
Most predictive techniques to examine Equity price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Equity using various technical indicators. When you analyze Equity 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 |
Equity Series Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Equity Series Class on the next trading day is expected to be 14.59 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.07, and the sum of the absolute errors of 8.61.Please note that although there have been many attempts to predict Equity 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 Equity Series' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Equity Series Mutual Fund Forecast Pattern
| Backtest Equity Series | Equity Series Price Prediction | Buy or Sell Advice |
Equity Series Forecasted Value
In the context of forecasting Equity Series' 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. Equity Series' downside and upside margins for the forecasting period are 12.74 and 16.44, respectively. We have considered Equity Series' 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Equity Series mutual fund data series using in forecasting. Note that when a statistical model is used to represent Equity Series 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 | 113.5406 |
| Bias | Arithmetic mean of the errors | -0.0502 |
| MAD | Mean absolute deviation | 0.1435 |
| MAPE | Mean absolute percentage error | 0.0107 |
| SAE | Sum of the absolute errors | 8.61 |
Predictive Modules for Equity Series
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Equity Series Class. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Equity Series' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Equity Series After-Hype Price Prediction Density Analysis
As far as predicting the price of Equity Series 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 Equity Series 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 Equity Series, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Equity Series Estimiated After-Hype Price Volatility
In the context of predicting Equity Series' mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Equity Series' historical news coverage. Equity Series' after-hype downside and upside margins for the prediction period are 12.76 and 16.42, respectively. We have considered Equity Series' 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
Equity Series is not too volatile at this time. Analysis and calculation of next after-hype price of Equity Series Class is based on 3 months time horizon.
Equity Series Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Equity Series is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Equity Series 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 Equity Series, 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 |
0.26 | 1.85 | 1.96 | 0.94 | 5 Events / Month | 2 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
14.59 | 14.59 | 0.00 |
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Equity Series Hype Timeline
Equity Series Class is currently traded for 14.59. The entity has historical hype elasticity of 1.96, and average elasticity to hype of competition of 0.94. Equity is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 24.5%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at 0.26%. %. The volatility of related hype on Equity Series is about 51.3%, with the expected price after the next announcement by competition of 15.53. The company last dividend was issued on the 16th of December 2019. Assuming the 90 days horizon the next anticipated press release will be in about 5 days. Check out Historical Fundamental Analysis of Equity Series to cross-verify your projections.Equity Series Related Hype Analysis
Having access to credible news sources related to Equity Series' direct competition is more important than ever and may enhance your ability to predict Equity Series' future price movements. Getting to know how Equity Series' 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 Equity Series may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ABLOX | Alger Balanced Portfolio | (0.04) | 1 per month | 0.18 | 0.09 | 1.00 | (0.96) | 12.86 | |
| LZSMX | Lazard International Small | 19.00 | 4 per month | 0.93 | 0.08 | 1.98 | (1.78) | 4.99 | |
| LEOOX | Lazard Enhanced Opportunities | 0.03 | 1 per month | 0.00 | (0.53) | 0.21 | (0.11) | 0.53 | |
| TFSCX | Foreign Smaller Panies | 0.00 | 0 per month | 0.40 | 0.03 | 1.33 | (0.90) | 2.55 | |
| LZESX | Lazard International Equity | 16.95 | 2 per month | 0.50 | 0.02 | 0.99 | (1.10) | 3.08 | |
| LZUOX | Lazard Strategic Equity | 0.00 | 0 per month | 0.55 | (0.01) | 1.31 | (0.98) | 3.28 | |
| FNMTX | Nuveen New Mexico | 0.00 | 0 per month | 0.00 | (0.87) | 0.21 | (0.10) | 0.62 | |
| FOBAX | Balanced Fund Institutional | 0.12 | 7 per month | 0.04 | 0.05 | 0.70 | (0.74) | 10.79 | |
| FSAVX | Automotive Portfolio Automotive | 0.00 | 0 per month | 0.92 | (0.01) | 1.72 | (1.78) | 4.08 | |
| NEXTX | Shelton Green Alpha | 0.00 | 0 per month | 1.13 | (0.09) | 1.59 | (1.92) | 3.57 |
Other Forecasting Options for Equity Series
For every potential investor in Equity, whether a beginner or expert, Equity Series' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Equity Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Equity. Basic forecasting techniques help filter out the noise by identifying Equity Series' price trends.Equity Series 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 Equity Series mutual fund to make a market-neutral strategy. Peer analysis of Equity Series could also be used in its relative valuation, which is a method of valuing Equity Series by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Equity Series Market Strength Events
Market strength indicators help investors to evaluate how Equity Series 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 Equity Series shares will generate the highest return on investment. By undertsting and applying Equity Series mutual fund market strength indicators, traders can identify Equity Series Class entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 14.59 | |||
| Day Typical Price | 14.59 | |||
| Price Action Indicator | 0.075 | |||
| Period Momentum Indicator | 0.15 | |||
| Relative Strength Index | 64.02 |
Equity Series Risk Indicators
The analysis of Equity Series' 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 Equity Series' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting equity 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 | 0.9062 | |||
| Semi Deviation | 0.5849 | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.35 | |||
| Downside Variance | 0.8082 | |||
| Semi Variance | 0.3421 | |||
| Expected Short fall | (1.18) |
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 Equity Series
The number of cover stories for Equity Series depends on current market conditions and Equity Series' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Equity Series 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 Equity Series' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Equity Mutual Fund
Equity Series financial ratios help investors to determine whether Equity 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 Equity with respect to the benefits of owning Equity Series security.
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