Nft Limited Stock Price Prediction
| MI Stock | 4.24 0.07 1.62% |
Oversold Vs Overbought
27
Oversold | Overbought |
Quarterly Earnings Growth (0.85) | Quarterly Revenue Growth (0.66) |
Using NFT hype-based prediction, you can estimate the value of NFT Limited from the perspective of NFT 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 NFT to buy its stock at a price that has no basis in reality. In that case, they are not buying NFT 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.
NFT after-hype prediction price | USD 3.88 |
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.
NFT |
NFT After-Hype Price Prediction Density Analysis
As far as predicting the price of NFT 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 NFT 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 NFT, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
NFT Estimiated After-Hype Price Volatility
In the context of predicting NFT's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on NFT's historical news coverage. NFT's after-hype downside and upside margins for the prediction period are 0.19 and 16.25, respectively. We have considered NFT'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
NFT is dangerous at this time. Analysis and calculation of next after-hype price of NFT Limited is based on 3 months time horizon.
NFT Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as NFT is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading NFT 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 NFT, 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 |
1.27 | 12.28 | 0.42 | 1.24 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
4.24 | 3.88 | 9.98 |
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NFT Hype Timeline
As of November 29, 2024 NFT Limited is listed for 4.24. The entity has historical hype elasticity of -0.42, and average elasticity to hype of competition of 1.24. NFT is forecasted to decline in value after the next headline, with the price expected to drop to 3.88. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -9.98%, whereas the daily expected return is now at 1.27%. The volatility of related hype on NFT is about 1253.06%, with the expected price after the next announcement by competition of 5.48. About 18.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.24. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. NFT Limited recorded a loss per share of 127.66. The entity had not issued any dividends in recent years. The firm had 1:50 split on the 12th of April 2024. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 8 days. Check out NFT Basic Forecasting Models to cross-verify your projections.NFT Related Hype Analysis
Having access to credible news sources related to NFT's direct competition is more important than ever and may enhance your ability to predict NFT's future price movements. Getting to know how NFT'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 NFT may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CQP | Cheniere Energy Partners | 0.80 | 9 per month | 0.90 | 0.13 | 2.30 | (1.85) | 4.88 | |
| KLTR | Kaltura | 0.08 | 6 per month | 3.55 | 0.16 | 7.32 | (4.55) | 26.38 | |
| DDOG | Datadog | 1.77 | 7 per month | 1.67 | 0.14 | 4.39 | (2.63) | 9.06 | |
| NI | NiSource | 0.63 | 11 per month | 0.54 | 0.14 | 1.54 | (1.23) | 3.98 | |
| AM | Antero Midstream Partners | (0.07) | 7 per month | 1.26 | 0.02 | 2.27 | (2.12) | 6.60 | |
| NXPL | Nextplat Corp | (0.01) | 7 per month | 0.00 | (0.11) | 4.88 | (7.80) | 34.56 | |
| DH | Definitive Healthcare Corp | (0.02) | 8 per month | 2.41 | (0.02) | 4.37 | (4.00) | 13.20 | |
| GEV | GE Vernova LLC | 4.66 | 10 per month | 1.73 | 0.31 | 5.04 | (2.17) | 14.24 |
NFT Additional Predictive Modules
Most predictive techniques to examine NFT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for NFT using various technical indicators. When you analyze NFT 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 |
About NFT Predictive Indicators
The successful prediction of NFT stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as NFT Limited, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of NFT based on analysis of NFT hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to NFT's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to NFT's related companies. | 2023 | 2024 (projected) | Days Sales Outstanding | 122.03 | 208.4 | PTB Ratio | 0.32 | 0.3 |
Story Coverage note for NFT
The number of cover stories for NFT depends on current market conditions and NFT's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that NFT 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 NFT'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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NFT Short Properties
NFT's future price predictability will typically decrease when NFT's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of NFT Limited often depends not only on the future outlook of the potential NFT's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. NFT's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2 M | |
| Cash And Short Term Investments | 61.8 M |
Complementary Tools for NFT Stock analysis
When running NFT's price analysis, check to measure NFT's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy NFT is operating at the current time. Most of NFT's value examination focuses on studying past and present price action to predict the probability of NFT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NFT's price. Additionally, you may evaluate how the addition of NFT to your portfolios can decrease your overall portfolio volatility.
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