Fuller Thaler Behavioral Fund Price Patterns
| FTHAX Fund | USD 50.38 -1.05 -2.04% |
Momentum 53
Impartial
Oversold | Overbought |
This view frames how Fuller Thaler Behavioral responds to recent headlines and peer activity within its market context.
This sentiment view summarizes headline intensity and market attention around Fuller Thaler to frame short-term volatility context.
Fuller Thaler after-hype prediction price | USD 50.38 |
Sentiment indicators are one input among forecasting models, technical signals, analyst estimates, earnings data, and momentum measures.
Fuller |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fuller Thaler's price to converge to an average value over time is called mean reversion.
Fuller Thaler After-Hype Price Density Analysis
As far as predicting the price of Fuller Thaler at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range.
Next price density |
| Expected price to next headline |
Fuller Thaler Estimiated After-Hype Price Volatility
In the context of predicting Fuller Thaler's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fuller Thaler's historical news coverage.
Current Value
The after-hype framework applied to Fuller Thaler Behavioral assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Fuller Thaler Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Fuller Thaler is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fuller Thaler 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 Fuller Thaler, 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 | 0.90 | 0.01 | 0.33 | 1 Events | 0 Events | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
50.38 | 50.38 | 0.00 |
|
Fuller Thaler Hype Timeline
Fuller Thaler Behavioral is currently traded for 50.38. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.33. Fuller 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 currently at 0.04%. %. The volatility of related hype on Fuller Thaler is about 10.99%, with the expected price after the next announcement by competition of 50.71. The company has price-to-book (P/B) ratio of 1.97. Some equities with similar Price to Book (P/B) outperform the market in the long run. Fuller Thaler Behavioral last dividend was issued on the 31st of December 1970. Assuming the 90 days horizon the next forecasted press release will be very soon. Use Fuller Thaler Basic Forecasting Models to cross-verify projections for Fuller Thaler. The models provide an additional statistical reference.Fuller Thaler Related Hype Analysis
Having access to credible news sources related to Fuller Thaler's direct competition is more important than ever and may enhance your ability to predict Fuller Thaler's future price movements. Getting to know how Fuller Thaler's peers react to changing market sentiment, related social.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AAWEX | World Energy Fund | 49.30 | 4 per month | 0.77 | 0.20 | 2.46 | -1.41 | 5.49 | |
| SMRPX | Salient Mlp Energy | 0.00 | 0 per month | 0.48 | 0.27 | 1.38 | -1.07 | 3.45 | |
| XEMOX | Clearbridge Energy Mlp | 0.00 | 0 per month | 0.51 | 0.25 | 1.61 | -1.25 | 3.85 | |
| APWEX | World Energy Fund | -0.15 | 1 per month | 0.78 | 0.20 | 2.50 | -1.40 | 5.52 | |
| GAAEX | Guinness Atkinson Alternative | 0.00 | 0 per month | 1.20 | 0.01 | 1.67 | -1.79 | 6.00 | |
| GMOWX | Gmo Resources | 0.00 | 0 per month | 1.28 | 0.21 | 2.52 | -2.75 | 7.24 |
Fuller Thaler Additional Predictive Modules
Most predictive techniques to examine Fuller price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fuller using various technical indicators. When you analyze Fuller 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 |
Fuller Thaler Market Sentiment and News Impact
Sentiment context for Fuller Thaler evaluates category positioning, reporting narratives, and exposure-driven demand shifts. Cycle exposure remains aligned with broader market trends. The evaluation considers diversification impact when Fuller Thaler is incorporated into a multi-asset framework.
Methodology
Unless otherwise specified, data for Fuller Thaler Behavioral is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Fuller (USA Stocks:FTHAX) market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions Analyst consensus data and sentiment signals are derived from publicly available research and media sources and reflect a point-in-time view.
Assumptions
We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Research Sources
Fuller Thaler Behavioral may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
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Other Information on Investing in Fuller Mutual Fund
Fuller Thaler financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Fuller to other measures in a consistent way.
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