Near Intelligence Price Prediction
| NIRDelisted Stock | 1.49 0.10 6.29% |
Oversold Vs Overbought
60
Oversold | Overbought |
Using Near Intelligence hype-based prediction, you can estimate the value of Near Intelligence from the perspective of Near Intelligence 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 Near Intelligence to buy its stock at a price that has no basis in reality. In that case, they are not buying Near 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.
Near Intelligence after-hype prediction price | USD 1.49 |
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Near |
Near Intelligence After-Hype Price Prediction Density Analysis
As far as predicting the price of Near Intelligence 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 Near Intelligence 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 Near Intelligence, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Near Intelligence Estimiated After-Hype Price Volatility
In the context of predicting Near Intelligence's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Near Intelligence's historical news coverage. Near Intelligence's after-hype downside and upside margins for the prediction period are 1.49 and 1.49, respectively. We have considered Near Intelligence'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
Near Intelligence is very steady at this time. Analysis and calculation of next after-hype price of Near Intelligence is based on 3 months time horizon.
Near Intelligence Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Near Intelligence is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Near Intelligence 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 Delisted 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 Near Intelligence, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 23 Events / Month | 5 Events / Month | In about 23 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.49 | 1.49 | 0.00 |
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Near Intelligence Hype Timeline
On the 26th of November Near Intelligence is traded for 1.49. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Near 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 now at 0.0%. %. The volatility of related hype on Near Intelligence is about 0.0%, with the expected price after the next announcement by competition of 1.49. About 58.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 2.01. Near Intelligence had not issued any dividends in recent years. Considering the 90-day investment horizon the next forecasted press release will be in about 23 days. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.Near Intelligence Related Hype Analysis
Having access to credible news sources related to Near Intelligence's direct competition is more important than ever and may enhance your ability to predict Near Intelligence's future price movements. Getting to know how Near Intelligence'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 Near Intelligence may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KBNT | Kubient | 0.08 | 5 per month | 5.26 | (0.02) | 7.94 | (9.80) | 59.23 | |
| MVLA | Movella Holdings | 0.02 | 1 per month | 3.50 | 0.07 | 8.82 | (5.77) | 44.13 | |
| HTCR | HeartCore Enterprises | 0.06 | 10 per month | 5.96 | 0.16 | 14.14 | (10.17) | 26.35 | |
| IDAI | Trust Stamp | 0.00 | 7 per month | 0.00 | (0.19) | 5.88 | (11.11) | 47.05 | |
| QH | Quhuo | (0.14) | 7 per month | 5.37 | 0.12 | 14.56 | (8.33) | 329.09 | |
| IFBD | Infobird Co | 0.09 | 10 per month | 4.33 | (0.01) | 8.11 | (7.55) | 25.02 | |
| CXAI | CXApp Inc | 0.01 | 4 per month | 0.00 | (0.19) | 7.01 | (7.50) | 29.23 | |
| BMR | Beamr Imaging Ltd | (0.02) | 7 per month | 0.00 | (0.09) | 8.63 | (5.23) | 24.22 | |
| MCLD | MCloud Technologies Corp | 0.13 | 2 per month | 8.81 | 0.02 | 19.15 | (13.79) | 56.20 |
Near Intelligence Additional Predictive Modules
Most predictive techniques to examine Near price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Near using various technical indicators. When you analyze Near 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 Near Intelligence Predictive Indicators
The successful prediction of Near Intelligence 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 Near Intelligence, 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 Near Intelligence based on analysis of Near Intelligence hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Near Intelligence's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Near Intelligence's related companies.
Story Coverage note for Near Intelligence
The number of cover stories for Near Intelligence depends on current market conditions and Near Intelligence's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Near Intelligence 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 Near Intelligence'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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Near Intelligence Short Properties
Near Intelligence's future price predictability will typically decrease when Near Intelligence's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Near Intelligence often depends not only on the future outlook of the potential Near Intelligence'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. Near Intelligence's indicators that are reflective of the short sentiment are summarized in the table below.
| Dividends Paid | 538.6 K | |
| Shares Float | 15.3 M | |
| Short Percent | 0.1333 |
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Other Consideration for investing in Near Stock
If you are still planning to invest in Near Intelligence check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Near Intelligence's history and understand the potential risks before investing.
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