MONA Price Prediction
| MONA Crypto | USD 0.36 0.01 2.86% |
Oversold Vs Overbought
44
Oversold | Overbought |
MONA crypto price prediction is an act of determining the future value of MONA shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of MONA's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of MONA and does not consider all of the tangible or intangible factors available from MONA's fundamental data. We analyze noise-free headlines and recent hype associated with MONA, which may create opportunities for some arbitrage if properly timed.
It is a matter of debate whether crypto price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of MONA based on different types of headlines from major news networks to social media. The MONA price prediction module provides an analysis of price elasticity to changes in media outlook on MONA over a specific investment horizon. Using MONA hype-based prediction, you can estimate the value of MONA from the perspective of MONA response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in MONA. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in MONA to buy its crypto coin at a price that has no basis in reality. In that case, they are not buying MONA 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.
MONA after-hype prediction price | .CC 0.36 |
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.
MONA |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MONA'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.
MONA After-Hype Price Prediction Density Analysis
As far as predicting the price of MONA 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 MONA 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 MONA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
MONA Estimiated After-Hype Price Volatility
In the context of predicting MONA's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on MONA's historical news coverage. MONA's after-hype downside and upside margins for the prediction period are 0.02 and 4.15, respectively. We have considered MONA'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
MONA is very volatile at this time. Analysis and calculation of next after-hype price of MONA is based on 3 months time horizon.
MONA Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as MONA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MONA 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 MONA, 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 |
0.20 | 3.76 | 0.00 | 43.07 | 2 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.36 | 0.36 | 0.00 |
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MONA Hype Timeline
MONA is now traded for 0.36. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is -43.07. MONA is estimated 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 estimated to be very small, whereas the daily expected return is now at 0.2%. %. The volatility of related hype on MONA is about 1.75%, with the expected price after the next announcement by competition of -42.71. Assuming the 90 days trading horizon the next estimated press release will be in a few days. Check out MONA Basic Forecasting Models to cross-verify your projections.MONA Related Hype Analysis
Having access to credible news sources related to MONA's direct competition is more important than ever and may enhance your ability to predict MONA's future price movements. Getting to know how MONA'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 MONA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BTC | Bitcoin | (2,364) | 6 per month | 2.17 | 0.22 | 9.35 | (4.67) | 16.75 | |
| DOGE | Dogecoin | 0.02 | 6 per month | 4.91 | 0.14 | 15.38 | (11.11) | 35.45 | |
| BCH | Bitcoin Cash | 0.00 | 0 per month | 4.98 | 0.16 | 12.11 | (7.57) | 78.47 | |
| LTC | Litecoin | (0.06) | 4 per month | 4.53 | 0.09 | 7.94 | (7.89) | 28.62 | |
| ETC | Ethereum Classic | 0.00 | 0 per month | 4.64 | 0.07 | 7.94 | (8.84) | 26.67 | |
| XMR | Monero | (4.68) | 1 per month | 0.00 | (0.03) | 5.41 | (5.51) | 39.62 | |
| AR | Arweave | 0.00 | 0 per month | 5.37 | 0.24 | 18.01 | (9.02) | 71.06 | |
| CFX | Conflux Network | 0.00 | 0 per month | 7.40 | 0.09 | 13.64 | (12.20) | 46.05 | |
| BSV | Bitcoin SV | 0.00 | 0 per month | 6.51 | 0.02 | 7.81 | (12.06) | 48.53 | |
| CKB | Nervos Network | 0.00 | 0 per month | 6.12 | 0.25 | 31.73 | (12.11) | 101.94 | |
| MIOTA | IOTA | 0.01 | 2 per month | 5.23 | 0.05 | 9.09 | (11.76) | 34.74 |
MONA Additional Predictive Modules
Most predictive techniques to examine MONA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MONA using various technical indicators. When you analyze MONA 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 MONA 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, MONA 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 MONA based on MONA hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to MONA's market risk using different technical indicators and then compare them to MONA's related cryptocurrency tokens.
Story Coverage note for MONA
The number of cover stories for MONA depends on current market conditions and MONA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that MONA 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 MONA'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 MONA Basic Forecasting Models to cross-verify your projections. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.