New Hampshire Hghr Fund Price Patterns
| FQHIX Fund | USD 33.23 0.10 0.30% |
Momentum 81
Buy Peaked
Oversold | Overbought |
Using New Hampshire hype-based prediction, you can estimate the value of New Hampshire Hghr from the perspective of New Hampshire response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in New Hampshire to buy its mutual fund at a price that has no basis in reality. In that case, they are not buying New because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell mutual funds at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
New Hampshire after-hype prediction price | USD 33.26 |
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.
New |
New Hampshire Estimiated After-Hype Price Volatility
As far as predicting the price of New Hampshire 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 New Hampshire 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 New Hampshire, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
New Hampshire Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as New Hampshire is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading New Hampshire 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 New Hampshire, 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 |
0.16 | 0.46 | 0.03 | 0.07 | 1 Events / Month | 0 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
33.23 | 33.26 | 0.09 |
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New Hampshire Hype Timeline
New Hampshire Hghr is currently traded for 33.23. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.07. New is forecasted to increase in value after the next headline, with the price projected to jump to 33.26 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 0.09%, whereas the daily expected return is currently at 0.16%. The volatility of related hype on New Hampshire is about 99.64%, with the expected price after the next announcement by competition of 33.16. Assuming the 90 days horizon the next forecasted press release will be very soon. Check out New Hampshire Basic Forecasting Models to cross-verify your projections.New Hampshire Related Hype Analysis
Having access to credible news sources related to New Hampshire's direct competition is more important than ever and may enhance your ability to predict New Hampshire's future price movements. Getting to know how New Hampshire'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 New Hampshire may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DALVX | Dunham Large Cap | 0.00 | 0 per month | 0.35 | 0.16 | 1.34 | (1.04) | 5.73 | |
| LAAFX | Lord Abbett Affiliated | 0.12 | 1 per month | 0.24 | 0.18 | 1.25 | (0.99) | 7.55 | |
| AMONX | Aqr Large Cap | (2.89) | 1 per month | 0.24 | 0.13 | 1.42 | (1.68) | 33.19 | |
| TWQZX | Transamerica Large Cap | 0.00 | 0 per month | 0.37 | 0.17 | 1.31 | (1.13) | 3.68 | |
| PCLVX | Pace Large Value | 0.00 | 0 per month | 0.00 | 0.17 | 1.35 | (1.05) | 13.58 | |
| LMUSX | Qs Large Cap | 0.00 | 0 per month | 0.70 | 0.03 | 1.14 | (1.07) | 4.94 |
New Hampshire Additional Predictive Modules
Most predictive techniques to examine New price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for New using various technical indicators. When you analyze New 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 |
About New Hampshire Predictive Indicators
The successful prediction of New Hampshire stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as New Hampshire Hghr, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of New Hampshire based on analysis of New Hampshire hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to New Hampshire's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to New Hampshire's related companies.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in New Mutual Fund
New Hampshire financial ratios help investors to determine whether New 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 New with respect to the benefits of owning New Hampshire security.
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