Echelon Prime Price Prediction
| PRIME Crypto | USD 14.35 2.76 23.81% |
Oversold Vs Overbought
57
Oversold | Overbought |
Using Echelon Prime hype-based prediction, you can estimate the value of Echelon Prime from the perspective of Echelon Prime 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 Echelon Prime to buy its crypto coin at a price that has no basis in reality. In that case, they are not buying Echelon 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.
Echelon Prime after-hype prediction price | .CC 14.35 |
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.
Echelon |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Echelon Prime'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.
Echelon Prime After-Hype Price Prediction Density Analysis
As far as predicting the price of Echelon Prime 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 Echelon Prime 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 Echelon Prime, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Echelon Prime Estimiated After-Hype Price Volatility
In the context of predicting Echelon Prime's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Echelon Prime's historical news coverage. Echelon Prime's after-hype downside and upside margins for the prediction period are 5.22 and 23.48, respectively. We have considered Echelon Prime'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
Echelon Prime is abnormally risky at this time. Analysis and calculation of next after-hype price of Echelon Prime is based on 3 months time horizon.
Echelon Prime Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as Echelon Prime is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Echelon Prime 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 Echelon Prime, 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 |
1.18 | 9.13 | 0.00 | 0.08 | 0 Events / Month | 2 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
14.35 | 14.35 | 0.00 |
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Echelon Prime Hype Timeline
Echelon Prime is at this time traded for 14.35. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is 0.08. Echelon 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 1.18%. %. The volatility of related hype on Echelon Prime is about 14347.14%, with the expected price after the next announcement by competition of 14.43. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Echelon Prime Basic Forecasting Models to cross-verify your projections.Echelon Prime Related Hype Analysis
Having access to credible news sources related to Echelon Prime's direct competition is more important than ever and may enhance your ability to predict Echelon Prime's future price movements. Getting to know how Echelon Prime'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 Echelon Prime may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XRP | XRP | 0.01 | 6 per month | 2.01 | 0.28 | 16.88 | (3.70) | 31.55 | |
| SOL | Solana | (1.98) | 3 per month | 3.13 | 0.20 | 6.37 | (5.78) | 21.69 | |
| STETH | Staked Ether | 0.00 | 0 per month | 2.72 | 0.13 | 6.48 | (4.17) | 16.67 | |
| SUI | Sui | (0.06) | 1 per month | 3.27 | 0.35 | 15.64 | (5.83) | 28.32 | |
| TON | Toncoin | 0.11 | 3 per month | 3.19 | 0.05 | 4.82 | (4.70) | 25.61 | |
| WLD | Worldcoin | 0.00 | 0 per month | 5.11 | 0.16 | 14.84 | (6.80) | 33.99 | |
| XLM | Stellar | 0.01 | 1 per month | 2.39 | 0.29 | 30.00 | (3.62) | 68.33 | |
| AVAX | Avalanche | 1.29 | 1 per month | 3.60 | 0.19 | 11.70 | (6.16) | 24.68 | |
| LINK | Chainlink | 0.66 | 1 per month | 3.95 | 0.16 | 7.73 | (5.93) | 20.95 | |
| TRX | TRON | 0.01 | 1 per month | 2.23 | 0.07 | 6.67 | (6.25) | 28.27 | |
| APT | Aptos | 0.65 | 1 per month | 4.27 | 0.19 | 12.86 | (6.44) | 28.74 |
Echelon Prime Additional Predictive Modules
Most predictive techniques to examine Echelon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Echelon using various technical indicators. When you analyze Echelon 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 Echelon Prime 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, Echelon Prime 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 Echelon Prime based on Echelon Prime hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Echelon Prime's market risk using different technical indicators and then compare them to Echelon Prime's related cryptocurrency tokens.
Story Coverage note for Echelon Prime
The number of cover stories for Echelon Prime depends on current market conditions and Echelon Prime's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Echelon Prime 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 Echelon Prime'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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Check out Echelon Prime Basic Forecasting Models to cross-verify your projections. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.