Zw Data Action Stock Technical Analysis
| CNET Stock | USD 1.52 0.02 1.33% |
As of the 16th of April 2025, ZW Data owns the information ratio of (0.03), and Market Risk Adjusted Performance of 0.5308. ZW Data Action technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the company's future prices.
ZW Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CNET, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CNETZW Data's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.ZW Data technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
ZW Data Action Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of ZW Data Action volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ZW Data Action Trend Analysis
Use this graph to draw trend lines for ZW Data Action. You can use it to identify possible trend reversals for ZW Data as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual ZW Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ZW Data Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ZW Data Action applied against its price change over selected period. The best fit line has a slop of 0.0042 , which may suggest that ZW Data Action market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.67, which is the sum of squared deviations for the predicted ZW Data price change compared to its average price change.About ZW Data Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of ZW Data Action on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of ZW Data Action based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ZW Data Action price pattern first instead of the macroeconomic environment surrounding ZW Data Action. By analyzing ZW Data's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of ZW Data's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to ZW Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2024 | 2025 (projected) | |
| Dividend Yield | 7.8E-5 | 7.4E-5 |
| Price To Sales Ratio | 0.22 | 0.21 |
ZW Data April 16, 2025 Technical Indicators
Most technical analysis of CNET help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for CNET from various momentum indicators to cycle indicators. When you analyze CNET charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | 0.5308 | |||
| Mean Deviation | 3.03 | |||
| Coefficient Of Variation | (2,423) | |||
| Standard Deviation | 4.3 | |||
| Variance | 18.46 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | 0.5208 | |||
| Maximum Drawdown | 21.11 | |||
| Value At Risk | (5.73) | |||
| Potential Upside | 7.38 | |||
| Skewness | 0.4997 | |||
| Kurtosis | 2.25 |
ZW Data April 16, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as CNET stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 31.63 | ||
| Daily Balance Of Power | 0.50 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.50 | ||
| Day Typical Price | 1.51 | ||
| Price Action Indicator | 0.03 |
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.