CNNS Price Prediction
| CNNS Crypto | USD 0.000075 0.000002 2.74% |
Oversold Vs Overbought
51
Oversold | Overbought |
Using CNNS hype-based prediction, you can estimate the value of CNNS from the perspective of CNNS 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 CNNS to buy its crypto coin at a price that has no basis in reality. In that case, they are not buying CNNS 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.
CNNS after-hype prediction price | .CC 5.2E-5 |
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.
CNNS |
CNNS After-Hype Price Prediction Density Analysis
As far as predicting the price of CNNS 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 CNNS 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 CNNS, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
CNNS Estimiated After-Hype Price Volatility
In the context of predicting CNNS's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on CNNS's historical news coverage. CNNS's after-hype downside and upside margins for the prediction period are 0.00 and 20.24, respectively. We have considered CNNS'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
CNNS is abnormally risky at this time. Analysis and calculation of next after-hype price of CNNS is based on 3 months time horizon.
CNNS Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as CNNS is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading CNNS 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 CNNS, 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 |
2.24 | 20.08 | 0.00 | 0.42 | 0 Events / Month | 2 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.000075 | 0.000052 | 30.58 |
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CNNS Hype Timeline
CNNS is currently traded for 0.000075. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is -0.42. CNNS is forecasted to decline in value after the next headline, with the price expected to drop to 5.2E-5. The average volatility of media hype impact on the company price is insignificant. The price decline on the next news is expected to be -30.58%, whereas the daily expected return is currently at 2.24%. The volatility of related hype on CNNS is about 10670.53%, with the expected price after the next announcement by competition of -0.42. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out CNNS Basic Forecasting Models to cross-verify your projections.CNNS Related Hype Analysis
Having access to credible news sources related to CNNS's direct competition is more important than ever and may enhance your ability to predict CNNS's future price movements. Getting to know how CNNS'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 CNNS may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XRP | XRP | 0.00 | 0 per month | 2.22 | 0.24 | 15.58 | (3.70) | 31.55 | |
| SOL | Solana | (4.98) | 4 per month | 3.14 | 0.20 | 6.37 | (5.78) | 21.69 | |
| STETH | Staked Ether | 0.24 | 5 per month | 2.69 | 0.13 | 6.48 | (4.17) | 16.67 | |
| SUI | Sui | (0.06) | 1 per month | 3.37 | 0.35 | 15.64 | (5.83) | 28.32 | |
| TON | Toncoin | 0.11 | 3 per month | 3.20 | 0.05 | 4.82 | (4.70) | 25.61 | |
| XLM | Stellar | 0.01 | 1 per month | 2.37 | 0.27 | 30.00 | (3.62) | 68.33 | |
| WLD | Worldcoin | 0.00 | 0 per month | 5.21 | 0.13 | 13.53 | (6.80) | 33.99 | |
| AVAX | Avalanche | 1.29 | 1 per month | 3.59 | 0.19 | 11.70 | (6.16) | 24.68 | |
| LINK | Chainlink | 0.66 | 1 per month | 3.83 | 0.17 | 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 | 4.26 | 0.17 | 12.86 | (6.44) | 28.74 |
CNNS Additional Predictive Modules
Most predictive techniques to examine CNNS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CNNS using various technical indicators. When you analyze CNNS 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 CNNS 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, CNNS 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 CNNS based on CNNS hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to CNNS's market risk using different technical indicators and then compare them to CNNS's related cryptocurrency tokens.
Story Coverage note for CNNS
The number of cover stories for CNNS depends on current market conditions and CNNS's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that CNNS 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 CNNS'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 CNNS Basic Forecasting Models to cross-verify your projections. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.