New Wave Holdings Stock Price Prediction
| TRMNF Stock | USD 0.01 0.01 33.52% |
Oversold Vs Overbought
32
Oversold | Overbought |
Using New Wave hype-based prediction, you can estimate the value of New Wave Holdings from the perspective of New Wave 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 New Wave to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying New 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
New Wave after-hype prediction price | USD 0.01 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
New |
New Wave After-Hype Price Prediction Density Analysis
As far as predicting the price of New Wave 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 New Wave 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 Pink Sheet prices, such as prices of New Wave, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
New Wave Estimiated After-Hype Price Volatility
In the context of predicting New Wave's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on New Wave's historical news coverage. New Wave's after-hype downside and upside margins for the prediction period are 0.00 and 28.69, respectively. We have considered New Wave'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
New Wave is out of control at this time. Analysis and calculation of next after-hype price of New Wave Holdings is based on 3 months time horizon.
New Wave Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as New Wave is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading New Wave 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 Pink Sheet 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 New Wave, 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 |
3.10 | 28.68 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.01 | 0.01 | 17.36 |
|
New Wave Hype Timeline
New Wave Holdings is at this time traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. New is estimated to decline in value after the next headline, with the price expected to drop to 0.01. The average volatility of media hype impact on the company price is insignificant. The price reduction on the next news is expected to be -17.36%, whereas the daily expected return is at this time at 3.1%. The volatility of related hype on New Wave is about 0.0%, with the expected price after the next announcement by competition of 0.01. About 15.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.43. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. New Wave Holdings recorded a loss per share of 0.57. The entity last dividend was issued on the 8th of May 2020. The firm had 1:20 split on the 18th of June 2021. Assuming the 90 days horizon the next estimated press release will be within a week. Check out New Wave Basic Forecasting Models to cross-verify your projections.New Wave Related Hype Analysis
Having access to credible news sources related to New Wave's direct competition is more important than ever and may enhance your ability to predict New Wave's future price movements. Getting to know how New Wave'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 New Wave may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ZUMRF | ZoomerMedia Limited | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NETWF | Network Media Group | 0.00 | 0 per month | 0.00 | (0.20) | 0.00 | (15.38) | 36.57 |
New Wave Additional Predictive Modules
Most predictive techniques to examine New price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for New using various technical indicators. When you analyze New 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 New Wave Predictive Indicators
The successful prediction of New Wave 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 New Wave Holdings, 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 New Wave based on analysis of New Wave hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to New Wave's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to New Wave's related companies.
Story Coverage note for New Wave
The number of cover stories for New Wave depends on current market conditions and New Wave's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that New Wave 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 New Wave's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
New Wave Short Properties
New Wave's future price predictability will typically decrease when New Wave's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of New Wave Holdings often depends not only on the future outlook of the potential New Wave'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. New Wave's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 15.6 M | |
| Short Long Term Debt | 80.6 K | |
| Shares Float | 30.6 M |
Complementary Tools for New Pink Sheet analysis
When running New Wave's price analysis, check to measure New Wave'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 New Wave is operating at the current time. Most of New Wave's value examination focuses on studying past and present price action to predict the probability of New Wave's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New Wave's price. Additionally, you may evaluate how the addition of New Wave to your portfolios can decrease your overall portfolio volatility.
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Transaction History View history of all your transactions and understand their impact on performance |