American Funds Mutual Fund Forecast - Naive Prediction
| RROPX Fund | USD 13.01 0.02 0.15% |
The Naive Prediction forecasted value of American Funds Retirement on the next trading day is expected to be 12.98 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.07. American Mutual Fund Forecast is based on your current time horizon.
The relative strength index (RSI) of American Funds' mutual fund price is slightly above 60 indicating 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 American, making its price go up or down. Momentum 60
Buy Extended
Oversold | Overbought |
Using American Funds hype-based prediction, you can estimate the value of American Funds Retirement from the perspective of American Funds response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of American Funds Retirement on the next trading day is expected to be 12.98 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.07. American Funds after-hype prediction price | USD 13.01 |
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.
American |
American Funds Additional Predictive Modules
Most predictive techniques to examine American price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for American using various technical indicators. When you analyze American 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 |
American Funds Naive Prediction Price Forecast For the 23rd of January
Given 90 days horizon, the Naive Prediction forecasted value of American Funds Retirement on the next trading day is expected to be 12.98 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.07.Please note that although there have been many attempts to predict American 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 American Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
American Funds Mutual Fund Forecast Pattern
| Backtest American Funds | American Funds Price Prediction | Buy or Sell Advice |
American Funds Forecasted Value
In the context of forecasting American Funds' 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. American Funds' downside and upside margins for the forecasting period are 12.69 and 13.27, respectively. We have considered American Funds' 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 American Funds mutual fund data series using in forecasting. Note that when a statistical model is used to represent American Funds 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 | 111.8392 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.034 |
| MAPE | Mean absolute percentage error | 0.0027 |
| SAE | Sum of the absolute errors | 2.0717 |
Predictive Modules for American Funds
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as American Funds Retirement. 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.American Funds After-Hype Price Prediction Density Analysis
As far as predicting the price of American Funds 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 American Funds 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 American Funds, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
American Funds Estimiated After-Hype Price Volatility
In the context of predicting American Funds' mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on American Funds' historical news coverage. American Funds' after-hype downside and upside margins for the prediction period are 12.72 and 13.30, respectively. We have considered American Funds' 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
American Funds is very steady at this time. Analysis and calculation of next after-hype price of American Funds Retirement is based on 3 months time horizon.
American Funds Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as American Funds is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading American Funds 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 American Funds, 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 |
0.04 | 0.29 | 0.00 | 0.00 | 2 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
13.01 | 13.01 | 0.00 |
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American Funds Hype Timeline
American Funds Retirement is at this time traded for 13.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. American is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is at this time at 0.04%. %. The volatility of related hype on American Funds is about 0.0%, with the expected price after the next announcement by competition of 13.01. Assuming the 90 days horizon the next projected press release will be in a few days. Check out Historical Fundamental Analysis of American Funds to cross-verify your projections.American Funds Related Hype Analysis
Having access to credible news sources related to American Funds' direct competition is more important than ever and may enhance your ability to predict American Funds' future price movements. Getting to know how American Funds' 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 American Funds may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPEDX | Alger Dynamic Opportunities | 0.00 | 0 per month | 0.00 | (0.16) | 1.27 | (1.25) | 3.51 | |
| SILVX | Summit Global Investments | 0.00 | 0 per month | 0.44 | 0.01 | 1.15 | (0.83) | 2.82 | |
| PVCMX | Palm Valley Capital | 0.00 | 0 per month | 0.00 | (0.24) | 0.49 | (0.41) | 1.08 | |
| SDVGX | Sit Dividend Growth | 0.00 | 0 per month | 0.42 | 0.08 | 1.01 | (1.12) | 11.18 | |
| RYVFX | Royce Small Cap Value | 0.00 | 0 per month | 0.45 | 0.12 | 2.35 | (1.19) | 12.32 | |
| SDVSX | Sit Dividend Growth | 0.00 | 0 per month | 0.40 | 0.08 | 1.01 | (1.06) | 11.34 | |
| BWLIX | American Beacon Bridgeway | 0.00 | 0 per month | 0.42 | 0.09 | 1.55 | (1.08) | 3.03 | |
| HDPMX | Hodges Fund Retail | 0.00 | 0 per month | 1.28 | 0.09 | 2.42 | (2.32) | 12.85 | |
| BRLVX | American Beacon Bridgeway | 0.00 | 0 per month | 0.40 | 0.09 | 1.54 | (1.11) | 3.00 | |
| BTMFX | Boston Trust Midcap | 0.00 | 0 per month | 0.38 | 0.09 | 1.62 | (0.96) | 12.36 |
Other Forecasting Options for American Funds
For every potential investor in American, whether a beginner or expert, American Funds' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. American Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in American. Basic forecasting techniques help filter out the noise by identifying American Funds' price trends.American Funds 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 American Funds mutual fund to make a market-neutral strategy. Peer analysis of American Funds could also be used in its relative valuation, which is a method of valuing American Funds by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
American Funds Market Strength Events
Market strength indicators help investors to evaluate how American Funds 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 American Funds shares will generate the highest return on investment. By undertsting and applying American Funds mutual fund market strength indicators, traders can identify American Funds Retirement entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 13.01 | |||
| Day Typical Price | 13.01 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.02 | |||
| Relative Strength Index | 60.78 |
American Funds Risk Indicators
The analysis of American Funds' 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 American Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting american 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 | 0.2207 | |||
| Semi Deviation | 0.1739 | |||
| Standard Deviation | 0.2795 | |||
| Variance | 0.0781 | |||
| Downside Variance | 0.1003 | |||
| Semi Variance | 0.0303 | |||
| Expected Short fall | (0.26) |
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 American Funds
The number of cover stories for American Funds depends on current market conditions and American Funds' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that American Funds 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 American Funds' 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 American Mutual Fund
American Funds financial ratios help investors to determine whether American 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 American with respect to the benefits of owning American Funds security.
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