Zw Data Action Stock Odds of Future Stock Price Finishing Over 1.53
| CNET Stock | USD 1.70 0.04 2.41% |
CNET |
ZW Data Target Price Odds to finish over 1.53
The tendency of CNET Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 1.53 in 90 days |
| 1.70 | 90 days | 1.53 | about 90.39 |
Based on a normal probability distribution, the odds of ZW Data to stay above $ 1.53 in 90 days from now is about 90.39 (This ZW Data Action probability density function shows the probability of CNET Stock to fall within a particular range of prices over 90 days) . Probability of ZW Data Action price to stay between $ 1.53 and its current price of $1.7 at the end of the 90-day period is about 7.89 .
Given the investment horizon of 90 days the stock has the beta coefficient of 1.75 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, ZW Data will likely underperform. Additionally ZW Data Action has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. ZW Data Price Density |
| Price |
Predictive Modules for ZW Data
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ZW Data Action. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ZW Data is not an exception. The market had few large corrections towards the ZW Data's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold ZW Data Action, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ZW Data within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.42 | |
β | Beta against Dow Jones | 1.75 | |
σ | Overall volatility | 0.46 | |
Ir | Information ratio | -0.03 |
ZW Data Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of ZW Data for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for ZW Data Action can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| ZW Data Action generated a negative expected return over the last 90 days | |
| ZW Data Action has high historical volatility and very poor performance | |
| ZW Data Action may become a speculative penny stock | |
| The company reported the previous year's revenue of 30.59 M. Net Loss for the year was (5.97 M) with loss before overhead, payroll, taxes, and interest of (194 K). | |
| ZW Data Action currently holds about 4.45 M in cash with (2.01 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.12. | |
| ZW Data Action has a poor financial position based on the latest SEC disclosures | |
| Roughly 14.0% of the company shares are held by company insiders | |
| Latest headline from thelincolnianonline.com: StockNews.com Begins Coverage on ZW Data Action Technologies |
ZW Data Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of CNET Stock often depends not only on the future outlook of the current and 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 | 7.2 M | |
| Cash And Short Term Investments | 817 K |
ZW Data Technical Analysis
ZW Data's future price can be derived by breaking down and analyzing its technical indicators over time. CNET Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ZW Data Action. In general, you should focus on analyzing CNET Stock price patterns and their correlations with different microeconomic environments and drivers.
ZW Data Predictive Forecast Models
ZW Data's time-series forecasting models is one of many ZW Data's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary ZW Data's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about ZW Data Action
Checking the ongoing alerts about ZW Data for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for ZW Data Action help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| ZW Data Action generated a negative expected return over the last 90 days | |
| ZW Data Action has high historical volatility and very poor performance | |
| ZW Data Action may become a speculative penny stock | |
| The company reported the previous year's revenue of 30.59 M. Net Loss for the year was (5.97 M) with loss before overhead, payroll, taxes, and interest of (194 K). | |
| ZW Data Action currently holds about 4.45 M in cash with (2.01 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.12. | |
| ZW Data Action has a poor financial position based on the latest SEC disclosures | |
| Roughly 14.0% of the company shares are held by company insiders | |
| Latest headline from thelincolnianonline.com: StockNews.com Begins Coverage on ZW Data Action Technologies |
Additional 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.