Food Moments (Thailand) Price Prediction
| FM Stock | 3.72 0.04 1.09% |
Oversold Vs Overbought
43
Oversold | Overbought |
Using Food Moments hype-based prediction, you can estimate the value of Food Moments PCL from the perspective of Food Moments 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 Food Moments to buy its stock at a price that has no basis in reality. In that case, they are not buying Food 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Food Moments after-hype prediction price | THB 3.72 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Food |
Food Moments Estimiated After-Hype Price Prediction Volatility
As far as predicting the price of Food Moments 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 Food Moments 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 Stock prices, such as prices of Food Moments, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Food Moments Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Food Moments is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Food Moments 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 Stock 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 Food Moments, 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 |
0.34 | 1.87 | 0.00 | 0.00 | 0 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 | ||
3.72 | 3.72 | 0.00 |
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Food Moments Hype Timeline
Food Moments PCL is currently traded for 3.72on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Food 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 currently at -0.34%. %. The volatility of related hype on Food Moments is about 0.0%, with the expected price after the next announcement by competition of 3.72. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.Food Moments Related Hype Analysis
Having access to credible news sources related to Food Moments' direct competition is more important than ever and may enhance your ability to predict Food Moments' future price movements. Getting to know how Food Moments' 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 Food Moments may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DELTA-R | Delta Electronics Public | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 0.00 | |
| DELTA | Delta Electronics Public | 0.00 | 0 per month | 2.99 | 0.17 | 4.83 | (2.28) | 22.88 | |
| AOT-R | Airports of Thailand | 0.00 | 0 per month | 0.00 | (0.14) | 1.27 | (1.29) | 15.02 | |
| AOT | Airports of Thailand | 0.00 | 0 per month | 0.00 | (0.07) | 1.65 | (1.67) | 5.80 | |
| PTT | PTT Public | 0.00 | 0 per month | 0.00 | (0.11) | 2.24 | (1.55) | 5.37 | |
| PTT-R | PTT Public | 0.00 | 0 per month | 0.00 | (0.11) | 2.24 | (1.55) | 5.37 | |
| INTUCH-R | Intouch Holdings Public | 0.00 | 0 per month | 2.00 | 0.03 | 3.55 | (3.50) | 11.96 | |
| PTTEP | PTT Exploration and | 0.00 | 0 per month | 0.00 | (0.17) | 2.55 | (2.47) | 6.55 |
Food Moments Additional Predictive Modules
Most predictive techniques to examine Food price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Food using various technical indicators. When you analyze Food 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 |
Story Coverage note for Food Moments
The number of cover stories for Food Moments depends on current market conditions and Food Moments' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Food Moments 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 Food Moments' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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