Blue Chip Mutual Fund Forecast - Naive Prediction
| VCBCX Fund | USD 21.18 0.16 0.76% |
The Naive Prediction forecasted value of Blue Chip Growth on the next trading day is expected to be 21.07 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.98. Blue Mutual Fund Forecast is based on your current time horizon.
At this time, the relative strength index (RSI) of Blue Chip's share price is approaching 45. This entails that the mutual fund is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Blue Chip, making its price go up or down. Momentum 45
Impartial
Oversold | Overbought |
Using Blue Chip hype-based prediction, you can estimate the value of Blue Chip Growth from the perspective of Blue Chip response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Blue Chip Growth on the next trading day is expected to be 21.07 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.98. Blue Chip after-hype prediction price | USD 21.18 |
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.
Blue |
Blue Chip Additional Predictive Modules
Most predictive techniques to examine Blue price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Blue using various technical indicators. When you analyze Blue 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 |
Blue Chip Naive Prediction Price Forecast For the 23rd of January
Given 90 days horizon, the Naive Prediction forecasted value of Blue Chip Growth on the next trading day is expected to be 21.07 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.98.Please note that although there have been many attempts to predict Blue 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 Blue Chip's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Blue Chip Mutual Fund Forecast Pattern
| Backtest Blue Chip | Blue Chip Price Prediction | Buy or Sell Advice |
Blue Chip Forecasted Value
In the context of forecasting Blue Chip'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. Blue Chip's downside and upside margins for the forecasting period are 20.08 and 22.06, respectively. We have considered Blue Chip'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 Blue Chip mutual fund data series using in forecasting. Note that when a statistical model is used to represent Blue Chip 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 | 115.427 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2128 |
| MAPE | Mean absolute percentage error | 0.0099 |
| SAE | Sum of the absolute errors | 12.9832 |
Predictive Modules for Blue Chip
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Chip Growth. 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 Blue Chip's 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.
Blue Chip After-Hype Price Prediction Density Analysis
As far as predicting the price of Blue Chip 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 Blue Chip 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 Blue Chip, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Blue Chip Estimiated After-Hype Price Volatility
In the context of predicting Blue Chip's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Blue Chip's historical news coverage. Blue Chip's after-hype downside and upside margins for the prediction period are 20.19 and 22.17, respectively. We have considered Blue Chip'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
Blue Chip is very steady at this time. Analysis and calculation of next after-hype price of Blue Chip Growth is based on 3 months time horizon.
Blue Chip Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Blue Chip is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Blue Chip 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 Blue Chip, 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 |
0.03 | 0.99 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Any time |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
21.18 | 21.18 | 0.00 |
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Blue Chip Hype Timeline
Blue Chip Growth is at this time traded for 21.18. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Blue 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.03%. %. The volatility of related hype on Blue Chip is about 69300.0%, with the expected price after the next announcement by competition of 21.18. The company last dividend was issued on the 7th of March 1970. Assuming the 90 days horizon the next forecasted press release will be any time. Check out Historical Fundamental Analysis of Blue Chip to cross-verify your projections.Blue Chip Related Hype Analysis
Having access to credible news sources related to Blue Chip's direct competition is more important than ever and may enhance your ability to predict Blue Chip's future price movements. Getting to know how Blue Chip'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 Blue Chip may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AEAXX | Ab Government Exchange | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| QCMMIX | Cref Money Market | 0.00 | 0 per month | 0.00 | (5.48) | 0.03 | 0.00 | 0.03 | |
| FZDXX | Fidelity Money Market | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SMAAX | Aig Government Money | (0.01) | 1 per month | 0.00 | (0.94) | 0.20 | (0.10) | 0.48 | |
| PBMXX | Prudential Government Money | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SWGXX | Schwab Government Money | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| JHMXX | John Hancock Money | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Blue Chip
For every potential investor in Blue, whether a beginner or expert, Blue Chip's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Blue Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Blue. Basic forecasting techniques help filter out the noise by identifying Blue Chip's price trends.Blue Chip 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 Blue Chip mutual fund to make a market-neutral strategy. Peer analysis of Blue Chip could also be used in its relative valuation, which is a method of valuing Blue Chip by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Blue Chip Market Strength Events
Market strength indicators help investors to evaluate how Blue Chip 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 Blue Chip shares will generate the highest return on investment. By undertsting and applying Blue Chip mutual fund market strength indicators, traders can identify Blue Chip Growth entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 21.18 | |||
| Day Typical Price | 21.18 | |||
| Price Action Indicator | 0.08 | |||
| Period Momentum Indicator | 0.16 | |||
| Relative Strength Index | 45.08 |
Blue Chip Risk Indicators
The analysis of Blue Chip'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 Blue Chip's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue 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 | 0.7329 | |||
| Standard Deviation | 0.9883 | |||
| Variance | 0.9768 |
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 Blue Chip
The number of cover stories for Blue Chip depends on current market conditions and Blue Chip's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Blue Chip 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 Blue Chip's 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 Blue Mutual Fund
Blue Chip financial ratios help investors to determine whether Blue 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 Blue with respect to the benefits of owning Blue Chip security.
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