Zw Data Action Stock Price Prediction
| CNET Stock | USD 1.03 0.03 3.00% |
Oversold Vs Overbought
59
Oversold | Overbought |
ZW Data Action stock price prediction is an act of determining the future value of ZW Data shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of ZW Data'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 ZW Data and does not consider all of the tangible or intangible factors available from ZW Data's fundamental data. We analyze noise-free headlines and recent hype associated with ZW Data Action, which may create opportunities for some arbitrage if properly timed.
Below are the key fundamental drivers impacting ZW Data's stock price prediction:Wall Street Target Price 27.7 | Quarterly Revenue Growth 0.272 |
It is a matter of debate whether stock 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 ZW Data based on different types of headlines from major news networks to social media. The CNET stock price prediction module provides an analysis of price elasticity to changes in media outlook on ZW Data over a specific investment horizon. Using ZW Data hype-based prediction, you can estimate the value of ZW Data Action from the perspective of ZW Data 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 ZW Data. 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 ZW Data to buy its stock at a price that has no basis in reality. In that case, they are not buying CNET 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.
ZW Data after-hype prediction price | USD 1.01 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
CNET |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ZW Data'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.
ZW Data After-Hype Price Prediction Density Analysis
As far as predicting the price of ZW Data 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 ZW Data 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 ZW Data, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ZW Data Estimiated After-Hype Price Volatility
In the context of predicting ZW Data's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ZW Data's historical news coverage. ZW Data's after-hype downside and upside margins for the prediction period are 0.05 and 6.78, respectively. We have considered ZW Data'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
ZW Data is abnormally volatile at this time. Analysis and calculation of next after-hype price of ZW Data Action is based on 3 months time horizon.
ZW Data Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as ZW Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ZW Data 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 ZW Data, 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 |
0.54 | 5.77 | 0.02 | 0.13 | 5 Events / Month | 3 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.03 | 1.01 | 1.94 |
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ZW Data Hype Timeline
ZW Data Action is currently traded for 1.03. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of -0.13. CNET is forecasted to decline in value after the next headline, with the price expected to drop to 1.01. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.94%, whereas the daily expected return is currently at 0.54%. The volatility of related hype on ZW Data is about 2404.17%, with the expected price after the next announcement by competition of 0.90. About 18.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.87. Some equities with similar Price to Book (P/B) outperform the market in the long run. ZW Data Action recorded a loss per share of 1.2. The entity last dividend was issued on the 19th of August 2016. The firm had 1:5 split on the 20th of January 2023. Given the investment horizon of 90 days the next forecasted press release will be in about 5 days. Check out ZW Data Basic Forecasting Models to cross-verify your projections.ZW Data Related Hype Analysis
Having access to credible news sources related to ZW Data's direct competition is more important than ever and may enhance your ability to predict ZW Data's future price movements. Getting to know how ZW Data'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 ZW Data may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DLX | Deluxe | (0.24) | 8 per month | 0.00 | (0.05) | 3.93 | (2.88) | 13.96 | |
| TSQ | Townsquare Media | 0.07 | 7 per month | 2.27 | 0.10 | 4.46 | (3.23) | 12.71 | |
| CMPR | Cimpress NV | 0.16 | 10 per month | 2.34 | 0.09 | 4.72 | (3.94) | 28.31 | |
| ZD | Ziff Davis | (0.95) | 8 per month | 0.00 | (0.22) | 2.13 | (3.84) | 10.94 |
ZW Data Additional Predictive Modules
Most predictive techniques to examine CNET price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CNET using various technical indicators. When you analyze CNET 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 ZW Data Predictive Indicators
The successful prediction of ZW Data 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 ZW Data Action, 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 ZW Data based on analysis of ZW Data hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to ZW Data's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to ZW Data's related companies. | 2023 | 2024 (projected) | Dividend Yield | 3.12E-4 | 2.97E-4 | Price To Sales Ratio | 0.72 | 0.68 |
Story Coverage note for ZW Data
The number of cover stories for ZW Data depends on current market conditions and ZW Data's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ZW Data 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 ZW Data'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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ZW Data Short Properties
ZW Data's future price predictability will typically decrease when ZW Data's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of ZW Data Action often depends not only on the future outlook of the potential ZW Data'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. ZW Data's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 7.1 M | |
| Cash And Short Term Investments | 4.4 M |
Check out ZW Data Basic Forecasting Models to cross-verify your projections. Note that the ZW Data Action information on this page should be used as a complementary analysis to other ZW Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Complementary Tools for CNET Stock analysis
When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.
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Is ZW Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of ZW Data. If investors know CNET will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about ZW Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.20) | Revenue Per Share 4.138 | Quarterly Revenue Growth 0.272 | Return On Assets (0.22) | Return On Equity (0.69) |
The market value of ZW Data Action is measured differently than its book value, which is the value of CNET that is recorded on the company's balance sheet. Investors also form their own opinion of ZW Data's value that differs from its market value or its book value, called intrinsic value, which is ZW Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ZW Data's market value can be influenced by many factors that don't directly affect ZW Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ZW Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if ZW Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ZW Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.