MANTRA Price Prediction
| OM Crypto | USD 3.44 0.03 0.86% |
Oversold Vs Overbought
81
Oversold | Overbought |
Using MANTRA hype-based prediction, you can estimate the value of MANTRA from the perspective of MANTRA 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 MANTRA to buy its crypto coin at a price that has no basis in reality. In that case, they are not buying MANTRA 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 crypto coins at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
MANTRA after-hype prediction price | .CC 3.06 |
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 crypto price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
MANTRA |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MANTRA'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.
MANTRA After-Hype Price Prediction Density Analysis
As far as predicting the price of MANTRA 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 MANTRA 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 Crypto Coin prices, such as prices of MANTRA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
MANTRA Estimiated After-Hype Price Volatility
In the context of predicting MANTRA's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on MANTRA's historical news coverage. MANTRA's after-hype downside and upside margins for the prediction period are 0.15 and 12.90, respectively. We have considered MANTRA'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
MANTRA is abnormally risky at this time. Analysis and calculation of next after-hype price of MANTRA is based on 3 months time horizon.
MANTRA Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as MANTRA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MANTRA 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 Crypto 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 MANTRA, 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 |
2.37 | 9.84 | 0.38 | 0.07 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.44 | 3.06 | 11.05 |
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MANTRA Hype Timeline
MANTRA is now traded for 3.44. The entity has historical hype elasticity of -0.38, and average elasticity to hype of competition of -0.07. MANTRA is forecasted to decline in value after the next headline, with the price expected to drop to 3.06. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -11.05%, whereas the daily expected return is now at 2.37%. The volatility of related hype on MANTRA is about 34058.79%, with the expected price after the next announcement by competition of 3.37. Assuming the 90 days horizon the next forecasted press release will be very soon. Check out MANTRA Basic Forecasting Models to cross-verify your projections.MANTRA Related Hype Analysis
Having access to credible news sources related to MANTRA's direct competition is more important than ever and may enhance your ability to predict MANTRA's future price movements. Getting to know how MANTRA'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 MANTRA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| OM | MANTRA | (0.16) | 1 per month | 2.43 | 0.23 | 21.58 | (5.07) | 54.36 | |
| STETH | Staked Ether | 0.00 | 0 per month | 2.72 | 0.13 | 6.48 | (4.17) | 16.67 | |
| EIGEN | EigenLayer | (0.01) | 1 per month | 4.94 | 0.02 | 16.93 | (8.93) | 33.38 | |
| EOSDAC | EOSDAC | (0.000021) | 1 per month | 8.14 | 0.10 | 21.28 | (17.23) | 90.64 | |
| BLZ | BLZ | 0.01 | 2 per month | 5.50 | 0.03 | 9.09 | (8.33) | 29.09 | |
| HIGH | Highstreet | (0.14) | 1 per month | 4.26 | 0.1 | 7.58 | (6.38) | 20.01 | |
| TKO | Tokocrypto | 0.02 | 1 per month | 3.59 | 0.07 | 10.34 | (6.06) | 43.13 | |
| DIA | DIA | 0.02 | 1 per month | 5.76 | 0.14 | 15.00 | (10.11) | 108.99 | |
| EM | EM | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
MANTRA Additional Predictive Modules
Most predictive techniques to examine MANTRA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MANTRA using various technical indicators. When you analyze MANTRA 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 |
The successful prediction of MANTRA price could yield a significant profit to cryptocurrency investors. Theoretically, the cryptocurrency market should be highly efficient, with prices reflecting the accessible real-world information almost immediately. The crypto trading ecosystem has experienced unprecedented growth over the last few years and continues accelerating irrespective of its volatilities and bubbles. In general, MANTRA and other cryptocurrencies react quickly to the market and adjust based on demand and supply. This implies that the cryptocurrency market is highly efficient, with prices reflecting the accessible real-world information almost immediately. We use internally-developed statistical techniques to arrive at the intrinsic value of MANTRA based on MANTRA hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to MANTRA's market risk using different technical indicators and then compare them to MANTRA's related cryptocurrency tokens.
Story Coverage note for MANTRA
The number of cover stories for MANTRA depends on current market conditions and MANTRA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that MANTRA 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 MANTRA'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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